Page 1
1
Reduction in logistics expenditure by optimization of
network and route to serve without compromising on
service levels
Team Members
Jagjit Singh – Chief CSD
Anil Harshana – Head Surface Transportation
Pankaj Kumar – Head Physical Distribution
Subrata Basak – Head Logistics System
Nikhil Maheshwari – Sr. Network Analyst
R Krishna – Chief Sales Planning
Nina Singh – Head Transportation
Slide Tata Steel 2
1
5
500
81K 28
110
First Integrated
Steel Plant in Asia
Over 28 Million tonnes
of Steel Produced p.a
Providing customized
solutions across 5
continents
One of the few steel
industries to feature in
FORTUNE500
Conglomerate with over
81,000 employee
110 Years of Successful
operation
Page 2
2
Slide Tata Steel
About Customer Service Division & logistics (CSD)
3
TSL Steel outbound Supply Chain Model
C
U
S
T
O
M
E
R
Plant
Jamshedpur
Kalinganagar
Hubs
Delhi, Kolkata,
Chennai, Nagpur etc
Loading Points
HSM, CRM, NBM
TSCR, WRM etc
Port
Haldia, Dhamra,
Paradip
SPCs
BMW,
Hemnil etc
Stockyard
2nd Leg – Road Execution
1st Leg – Rail & Road Execution
2nd Leg – Road Execution
1st Leg – Rail &
Road Execution
2nd Leg –
Road
Execution
2nd Leg –
Road
Execution
1st Leg –
Rail &
Road
Execution
2nd Leg – Road Execution
Responsibility
Agency responsible for delivering right Finished Steel to Customer at right time and right cost
FG Steel is divided into three segments in Tata Steel
1. Auto Segment – Catering to Auto Customers like Maruti
2. IPPE Segment – Catering to Industrial Products, Projects and Exports
3. BPRS Segment – Catering to Branded Products & Retail Solution Customers
Note: SPCs are Steel
Processing Centers which
provide customized
solutions to customers
Slide Tata Steel
INDEX
4
Section 1 • Project Background and Purpose
Section 2 • Project Framework
Section 3 • Project Stakeholders and Project Team
Section 4 • Project Overview
Section 5 • Project Walkthrough
Slide: 5-11
Slide: 12-21
Slide:22-28
Slide:29-36
Slide:37-67
Page 3
3
Slide Tata Steel
Project Background and Purpose
5
This segments deals with
TSL approach to project planning at Annual and Long Term basis
Segregation of projects into Policy Management and Daily Management at TSL level
Selection of projects at Departmental level and their relative prioritization
Goal and expected benefits of our project
Identification of measures for success of project
Slide Tata Steel
1.01 TSL Approach to Project Planning(General)
Project selection within organization
6
Elaborate Project Selection Framework following ‘Top – Down’ Approach
Team Responsible
for Selection of the
project
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
In Financial year in ABP planning - cascading of KPIs from MD to Division to Departments
Rolling Long Term Plan is made for 5 year horizon to cater to long term requirements of the company, Long
Term Plan cascades from MD level to Departmental Level
Page 4
4
Slide Tata Steel
1.02 Project Identification Process at TSL(General)
Need for Project identification within organization
7
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Heinrich Triangle is used to
identify projects addressing
major issues
Strategic aspects cover
identification of projects as a
means to achieve policy items
every financial year
Slide Tata Steel
1.03 Project Selection Process in TSL(General) Project prioritization within organization
8
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
GB GB –
High Value
GB –
High Value
GB GB GB –
High Value
SIP SIP SIP
Impact on Policy
Lo
gic
al A
pp
roach
Basic Medium High
Lo
w
Med
ium
H
igh
Logical Approach
High : Advance problem solving
competence under complex
situations
Medium : Typically data driven
analysis combined with field
knowledge
Low : Knowledge experienced
based
Impact on Policy
High & medium : Project
emanating from prioritized BO&S
Low: Projects emanating from
DM Issues
Note: GB – Green Belt
DM – Daily Management
BO&S – Business Objectives & Strategy
Page 5
5
Slide Tata Steel
1.04 Project Selection (Specific) Project prioritization within organization
9
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
CSD Annual Savings Target - 90 Cr
Division savings target
600 Cr
MD Savings Target-
3200 Cr
KPI cascading DICE Score was used for assessing ease of implementation
Project Prioritization Matrix considers DICE score, Potential and Department Priority for ranking of Projects
Project Prioritization
**Network Optimization was identified as Top Project in Department Note - Lower the DICE score,
better the probability of execution
Sr. No Project Title Potential
(In Cr) DICE Score
Dep Priority Final Rating
1 Outbound Logistics cost reduction via Network Optimization 30 15 9 A
6 Reduction in rail idle freight using club loading at Central Stockyard in Jamshedpur 4 16 9 B
3 Reduction in sub optimal dispatch cost 20 17 9 C 9 Reduction in contract rates in stockyards 5 17 8 D
Duration
(Time) Integrity
Commitment
(Sr. Management)
Commitment
(Team) Effort
D I C1 C2 E
DICE Score = D + (2xI) + (2xC1) + C2 + E
DICE Score Range
7-13 Win Zone
14-17 Worry Zone
18-28 Woe Zone
DICE Score for our Project
= 3 + (2x2) + (2x1) + 2 + 4
= 15 i.e.(Worry Zone)
Slide Tata Steel
1.05 Project Goals and Benefits Expected Goals & Benefits
10
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Company Objective
• Savings of 3200 Crs
Division Objective
• Savings of 600 Crs
Department Objective
• Savings of 90 Crs
Segment Objective
• Savings of 30 Crs
Project Goal alignment
Current :
Freight as % of Cost
To Produce
9.05%
Desired:
Freight as % of Cost
To Produce
8.7%
3.8% reduction
in freight per
ton cost
Departmental
Goal
Expected Goals & Benefits
1.3% reduction
in freight per
ton cost
Project
Goal
Page 6
6
Slide Tata Steel
1.06 Project Success Measures Efforts to address the gap
11
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Success Measures Elimination in inter stockyard flows for
Flat Products
Elimination in non Hub and spoke movement in
Long Product
Routing of customers to most optimum stockyard
Faster Inventory turn around
Reduction in carbon footprint by 5%
Increase in direct dispatch to customer from mother mills by
15%
Impact in service level, loss of sales and production at customer end due to unavailability of material Issue in implementation of ideas i.e. conflict of KPIs or resistance to change
1. Alternative routes mapped in case of emergency 2. Phasing of idea implementation - Ramp up plan 1. Commitment from Top Management taken 2. Idea syndication and re assurance of service levels
Mitigation Risk
Delay in negotiation of contracts for handling and transportation Failure to supply vehicles in line with demand as proposed by Project output
1. Extension of existing contracts in case of exigency 2. Monthly MIS to procurement for expiring contracts 1. Increased road capacity by 5% 2. Increase number of transporters 3. Risk Purchase in short term and change in business share in long term
Slide Tata Steel
Project Framework
12
This segment deals with
Why this project was taken up, what was the methodology of project
What were the in scope and out of scope elements and assumptions undertaken
Risks associated with project and their countermeasures
Budget for the project
Page 7
7
Slide Tata Steel
2.00 Project Framework (1/2)
13
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
PROJECT STATEMENT
Optimization of dispatch network resulting in savings of Rs 30 Crs leading to reduction in per ton freight by ~Rs 30.
The project will address 1/3rd of Departmental savings KPI of Rs 90 Crs.
PROJECT TYPE : Process Improvement
Define --- Measure ---Analyse ---Improve ---Control
ASSUMPTIONS/EXPECTATIONS PROJECT SCOPE
1. Customer demand pattern does not change
significantly
2. Either we have the dispatch capacity for the proposed
network or we can create one
3. Transporters will place vehicles as per sales pattern
4. Willingness of customer to accept a change in network
node
BUDGET (Financial and/or Resource Constraints)
Item Financial/Resources
AIMMS Software 1 Cr
Coding in AIMMS 720 Man hours
IT System Developments 436 Man hours
Handling tools and tackles 1 Cr
Revisiting of handling and
transportation contracts
Trucks and trailers
In Scope Out of Scope
All Stockyards
Both Flat and
Long Products
For direct dispatch
to customers -
Only IPPE &
BPRS segment
targeted
Direct dispatch to
Automobile
customers
All SPCs
Note:
- SPCs are Steel Processing Centers of TSL which
provide customized products to customers
- IPPE is Industrial Products, Projects and Exports
- BPRS is Branded Product Retail Solution
Slide Tata Steel
2.00 Project Framework (2/2)
14
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
PROJECT SCHEDULE
RISK MANAGEMENT
Phase Deliverables Apr-17 May-17 Jun-17 Jul-17 Aug-
17 Sep-17 Oct-17 Nov-17 Dec-17 Jan
Onwards
Define
SIPOC
Project Charter and schedule
Team formulation
Financial benefits estimation & Setting baseline
Measure
Quick wins identification
Data collection
Analyse
Identify & prioritize potential causes
Verify critical root causes
Simplify network structure
Project risk evaluation and mitigation
Improve
Develop possible solutions
Execute solutions at pilot level
With positive results coming up increase the pace of
implementation
Control
Modification of SOPs
Training to concerned people on SOPs
Management of Change(MOC)
Holding Gains
Weekly MIS on different levers
Weekly review by Project Champion
Monthly review by Steering committee
Plan
On Time
Delayed
Risk Title Mitigation Plans Impact in service level, loss of sales and production at customer end due to unavailability of material
1. Alternative routes mapped in case of emergency 2. Phasing of idea implementtaion - Ramp up plan
Issue in implementation of ideas i.e. conflict of KPIs or resistance to change
1. Commitment from Top Management taken 2. Idea syndication and re assurance of service levels
Failure to supply vehicles in line with demand as proposed by Project output
1. Increased road capacity by 5% 2. Increase number of transporters 3. Risk Purchase in short term and change in business share in long term
Page 8
8
Slide Tata Steel
2.01 Concise Project Statement A brief summary of Project
15
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
2445 2350
Outbound
Logistics
Freight
Cost per Ton
FY’17 Target
Difference : ~95Rs/T
Enabler : Freight reduction
by 90 Crs
Project Statement
Optimization of dispatch network resulting in savings of Rs 30 Crs leading to reduction in per ton freight by ~Rs
30. The project will address ~1/3rd of Departmental savings KPI of Rs 90 Crs.
Network Optimization Project
– ~30 Rs/T impact
KPI
TSL Long Term objective
- To be lowest cost steel manufacturer
Procurement Cost
Production Cost
Freight Cost
Levers
Targeted
Project Potential
Slide Tata Steel
2.02 Project Type
16
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Why DMAIC
Network Optimization is a complex process considering number of factors influencing it
Requirement of data based analysis to decide the most optimum network
Root causes identification and solution implementation required
Define Measure Analyze Impact Control
Structured problem solving approach
Phase wise implementation
Building long term sustainable solutions
Cause - Solution Matrix
Project Type: Process Improvement
Methodology : DMAIC
Page 9
9
Slide Tata Steel
2.03 Scope of Project Boundary of Project
17
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
In Scope
Out of scope Out-bound Logistics
All Stockyards
Both Flat and Long Products
For direct dispatch to customers –
only IPPE & BPRS segment targeted
Outbound Logistics
Direct dispatch to Automobile
customers
All SPCs
In Scope Out of Scope
Note : BPRS is Branded Products & Retail Solutions
IPPE is Industrial Products, Projects and Exports
SPCs are Steel Processing centers of TSL
C
U
S
T
O
M
E
R
Plant
Jamshedpur
Kalinganagar
Hubs
Delhi, Kolkata,
Chennai, Nagpur etc
Loading Points
HSM, CRM, NBM
TSCR, WRM etc
Port
Haldia, Dhamra,
Paradip
SPCs
BMW, CRC-West,
Hemnil etc
Stockyard
2nd Leg – Road Execution
1st Leg – Rail & Road Execution
2nd Leg – Road Execution
1st Leg – Rail &
Road Execution
2nd Leg –
Road
Execution
2nd Leg –
Road
Execution
1st Leg –
Rail &
Road
Execution
2nd Leg – Road Execution
Slide Tata Steel
2.04 Assumptions/Expectations
18
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Customer demand pattern does
not change significantly TSL Marketing & Sales
Either we have the dispatch capacity
for the proposed network or we can
create one
CSD and
Procurement Team
Transporters will place vehicles as
per sales pattern CSD and
Transporters
Willingness of customer to accept a
change in network node CSD and
TSL Marketing & Sales
Assumptions/Expectations Responsibility
1. Confirmation taken from VP M&S for
FY’17 figures to be representative
2. Any deviation has to be reported by
M&S to take corrective actions
1. Revisited all Transportation and
Handling contracts
2. Increased road capacity by 5%
3. Increased number of transporters
1. Enforcement of Contract administration
2. Risk purchase in case of emergency
3. Modification of share of business in long
term
1. Syndication with Customers and CAMs.
2. Reassurance of service levels
Countermeasures
Page 10
10
Slide Tata Steel
2.05 Project Schedule/ High Level Plan
19
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Phase Deliverables Apr-
17 May-
17 Jun-
17 Jul-17
Aug-17
Sep-17
Oct-17
Nov-17
Dec-17
Jan Onwards
Define
SIPOC
Project Charter and schedule
Team formulation
Financial benefits estimation
Setting baseline
Measure
Quick wins identification
Data collection
Analyse
Identify & prioritize potential causes
Verify critical root causes
Simplify network structure
Project risk evaluation and mitigation
Improve
Develop possible solutions
Execute solutions at pilot level
With positive results coming up increase
the pace of implementation
Control
Modification of SOPs
Training to concerned people on SOPs
Management of Change(MOC)
Holding Gains
Weekly MIS on different levers
Weekly review by Project Champion
Monthly review by Steering committee
Plan
On Time
Delayed
Slide Tata Steel
2.06 Budget (Financial/Resource)
20
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Item Financial/Resources Planned
Date
Actual Date
AIMMS Software 1 Cr May’17 May’17
Coding in AIMMS 720 Man hours June’17 June’17
Handling tools and tackles 1 Cr June’17 July’17
Revisiting of handling and
transportation contracts
Trucks and trailers June’17 June’17
IT System Developments 436 Man hours July’17 July’17
Page 11
11
Slide Tata Steel
Tata Steel follows ERM framework In which all departmental risks are captured and mitigation plan against each
risk is mapped
Salient Features
Risk Velocity : This gives an indication of risk playing out and impacting the business
Risk Classification(A,B,C Type) : This helps in prioritizing risks within department, division and company level
Departmental risks are reviewed by Chief in departmental monthly review meetings and also by Top
Management of the company depending on the severity of the risk
2.07 Risk Management
21
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Risk Title Early Warning
Indicators Velocity
Risk likeliho
od
Risk impact
Overall Risk
grading /
Priority
Class Mitigation Plans Responsibilit
y
Impact in service level, loss of sales and production at customer end due to unavailability of material
1. Communication from M&S about possibility of material shortage at customer end 2. Unavailability of trailers by transporters
3 3 4 12 B
1. Alternative routes mapped in case of emergency 2. Phasing of idea implementation - Ramp up plan
M&S, CSD and Planning
Issue in implementation of ideas i.e. conflict of KPIs or resistance to change
1. Delay in idea implementation 2. Noise from concerned agencies
2 4 2 8 B
1. Commitment from Top Management taken 2. Idea syndication and re assurance of service levels
Idea Champion &
CSD
Enterprise Risk Management(ERM) Framework of Tata Steel
Slide Tata Steel
Project Stakeholders and Project Team
22
This segment deals with
Identification of stakeholders and their importance in execution of project using various tools
Project Champion guidelines
Selection of Project Team and its preparedness
Team routines to assess the impact and execution of project
Page 12
12
Slide Tata Steel
3.01 Stakeholders and their Identification(1/2)
23
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
All Stakeholders were identified through SIPOC framework
Supplier Input Process Output Customer
1. IT Team - R
2. Procurement - M
3. Transporter - I
4. Production Planning - R
5. Finishing & Dispatch - R
1. Dispatch Team – M
2. Project Champion - A
Timely delivery
of correct material
1.Trailers - R
2. Rakes - R
3. Containers - R
4. FG Steel Products
5. SFTO - R
S I P O C
1. M&S - I
2. Customer –
(B2B & B2C) - I
Approver Resource Member Interested Party
Top Management whose
approval is essential for
project sign off
Experts whose skills are
required for execution of
the project
The execution
team
Agencies which needs to be
updated on the developments
X for ARMI
X for Internal
X for external
1. Steering committee - A
2. Lead Centre Committee- A
Color coding
Slide Tata Steel
3.01 Stakeholders and their Identification(2/2)
24
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Power Grid Matrix
Keep Satisfied
Steering Committee
Lead Center Committee
Manage Closely
Project Leader
Project Team
Project Champion
Customer
Monitor
Procurement
Keep Informed
M&S
Transporters
Level of Interest
Level
of
Po
wer
Low High
Lo
w
Hig
h
Stakeholder Prioritization using Power Grid Matrix
Note : Power Grid matrix is adapted from Mendelow, A.L.(1981)
Project Team and Project Champion will work on the project keeping Steering committee informed about the
progress of the project
Expiring contracts under Procurement to be reviewed regularly
Page 13
13
Slide Tata Steel
3.02 Project Champion
25
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Directions given by Champion
Leverage the opportunities provided by GST
Do not compromise on Customer Service Level
Initially target wastes in the system
Test capabilities before full scale implementation
Idea syndication with all stakeholders –
Bottom up approach
Project Kick-off meeting by Project Champion
Individual project discussion with Project Team
Weekly reviews conducted to assess the project implementation
Monthly reports sent to Steering committee and Champion for feedback and support
Chief CSD &
Logistics
Communication and review by Idea Champion
Slide Tata Steel
Skill Set Project Steering
committe
Lead Center
Committee
Project Champion Project
Leader
Project Team
Managerial Y Y
Project Management Y Y Y
Decision making Y Y Y Y
Conflict & Change management Y Y Y Y
Problem solving Y Y
TQM Methodology
7 QC Tools Y Y Required
AHP & Advanced Analytics Required Required
Others
AIMMS – Linear Programming Required Required
Team Building Y Y Required
Achievement orientation Y Y Required
Enterprise Risk Management Y Y Y Y Required
DICE & Prioritization Matrix Y Required Required
Management of Change Y Y Required Required
3.03 Project Team Selection
26
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Training Plan for Team
Skill Set Training Recipient Timeline
7 QC Tools Project Tam April 2017
Advanced Analytics Project Leader & Team April 2017
Achievement Orientation Project Tam April 2017
Team Building Project Tam May 2017
Enterprise Risk Management Project Tam May 2017
Skill Set Training Recipient Timeline
DICE &
Prioritization
Matrix
Project Leader & Team May 2017
AIMMS – Linear
Programming
Project Leader & Team June 2017
MOC Project Leader & Team June 2017
Page 14
14
Slide Tata Steel
3.04 Team Preparation
27
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
ERM Workshop 7QC Tools & Advanced Analytics
AIMMS Workshop Team Building
Slide Tata Steel
3.05 Team Routines
28
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Routine/Communi
cation Plan
Agenda Frequency Means/Medium Timings
Steering Committee
review
Status update
Support required
Monthly Office / Video
Conferencing
15-20th of
Month
Lead Center Review Status update on major KPIs,
Policy level issues
Monthly Office / Video
Conferencing
22-25th of
Month
Champion Review –
Impact Center
Review
Status update
Issues if any
Project Timelines
New challenges
Weekly Physical / Video
Conferencing
Every
Wednesday
Team Internal
Review
Update on new developments Twice weekly E-Mail/ Office Tuesday and
Friday
Review with
suppliers
Performance Fortnightly E-mail/VC 1st & 3rd
week of month
External Customers Quality and dispatch issues Monthly VC/Office/Mails 2nd Week of
month
Internal Customers Quality and dispatch issues
Monthly VC/Office/Mails 1st Week of
month
Page 15
15
Slide Tata Steel
Project Overview
29
This segment deals with
Methodology followed in the project
Usage of tools in different phases of project
Team preparation for different tools
Dealing with different risks associated with the project
Slide Tata Steel
4.01 Project Approach
30
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
TYPE OF PROJECT: Process Improvement
DESCRIPTION OF PROJECT APPROACH:
This project used DMAIC process : Define, Measure, Analyze, Improve & Control
Define Measure Analyze Improve Control
SIPOC
Project Charter
and schedule
Team
formulation
Financial
benefits
estimation
Setting baseline
Quick wins
identification
Data
collection
Identify & prioritize
potential causes
Verify critical root
causes
Project risk
evaluation and
mitigation
Develop possible
solutions
Execute solutions
at pilot level
With positive
results coming up
increase the
pace of
implementation
Simplify network
structure
Modification of
SOPs
Training to
concerned
people on
SOPs
Management
of Change
(MOC)
Page 16
16
Slide Tata Steel
4.02 Tools Used Throughout Project
31
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Define Measure Analyze Improve Control
SIPOC – To
Identify
stakeholders
ARMI –
Level of
support of
stakeholders
Power Grid
Matrix –
Stakeholder
Prioritization
DICE – To
quantify
ease of
implementati
on of
Projects
Prioritization
Matrix -
Project
prioritization
within
department
Trend Chart – To
see current level
of performance
Ishikawa – To
Understand the causes
for high freight cost
Regression - Freight
calculation using
existing freight
data(Input to AIMMS)
AHP : For prioritization
of software
Linear Programming –
For network Analysis
Pareto – Identification
of top levers
Impact- Control
(Prioritization)Matrix -
Prioritization of levers
for cost reduction
Brainstorming -
To formulate
action plan for
implementation
and
acceptance
from all
stakeholders
Management
of Change –
To ensure
adoption of
new system
by concerned
stakeholders
Slide Tata Steel
4.03 Tools Output at different stages
32
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Define Measure Analyze Improve Control
SIPOC –
Stakeholders
identified
ARMI –Role &
support of
stakeholders
Power Grid
Matrix –
Stakeholder
Prioritization
DICE – Projects
ease of
implementation
quantified
Prioritization
Matrix –
Ranking of
Projects Using
DICE, Savings
potential &
Departmental
Priority
Trend Chart
– We could
see current
level of
performance
Ishikawa - Probable
causes for high freight
cost
Regression - Freight
calculation
AHP : AIMMS software
selected
Linear Programming –
Cost reduction
levers(Root Cause)
Pareto – Identification
of top levers
Impact- Control
(Prioritization)Matrix -
Levers Prioritization
for cost reduction
based on impact &
ease
Brainstorming –
Feasibility and
implementation
of levers
including
acceptance
from all
stakeholders
Manage
ment of
Change
(MOC) –
Irreversi
bility of
adopted
process
Note :Highlighted in green color is the output of tool
Page 17
17
Slide Tata Steel
4.04 Team preparation for tool usage
33
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Note : TSL has TQM department which provides trainings on tools like TOC, Green Belt, SIPOC etc
TSL also has tie up with colleges like XLRI Jamshedpur which impart Managerial Knowledge
Training for SIPOC,
Regression, Ishikawa,
ARMI, Pareto,
Prioritization Matrix and
Power Grid matrix was
organized internally by
TQM department of
Tata Steel
For AIMMS and DICE
training, external
experts were called
Slide Tata Steel
4.05 Dealing with project Risk
34
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Adverse impact on service levels
Market side assumptions on demand may change
1. Alternative mapping already placed
2. Phase wise implementation
Syndication with M&S on FY’17 actual data being
representative
Mitigation Risk
Failure to supply vehicles in line with demand as
proposed by Project output
1. Increased road capacity by 5%
2. Increase number of transporters
3. Risk Purchase in short term and change in business
Share in long term
Delay in procurement of AIMMS software 1. Procurement to expedite the contract formulation
2. Weekly review by Project Champion
3. Monthly review by Steering Committee
Issue in implementation of ideas i.e. conflict of
KPIs or resistance to change
1. Commitment from Top Management taken
2. Idea syndication and re assurance of service levels
Page 18
18
Slide Tata Steel
4.06 Encountering and Handling resistance as a risk
35
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Unwillingness to adapt to
change in the network
Transporters unwilling to
invest in new routes
M&S discussion
with Customers
Monthly review
meetings
Identification Resistance
None None
Renegotiation of contracts
by Procurement would be
cumbersome
Monthly review
meetings
None None
1. Assurance of service levels
2. Phase wise implementation
1. New transporters incorporated
2. Relaxed Service Level Agreement
Resolution
None
1. Team building exercise conducted
2. Prioritization of contracts
depending on the volumes
None
External - Customer
External
Suppliers
Stakeholder
Steering Committee
Internal Suppliers
Project Team
None
None
None
Lead Center
Committee
Slide Tata Steel
4.07 Stakeholder involvement in Project
36
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Stakeholder
Involvement Frequency
Steering Committee Review and Project
update Monthly
Project Champion Review and Direction
Setting Weekly
Project Team All communications Daily
Internal Stakeholders Inputs & concerns Monthly/Need based
External Stakeholders Inputs & concerns Monthly/Need based
D M A I C
D M A I C
D M A I C
D M A I C
D M A I C
Low Medium High
Stakeholder engagement scale
Phase Engagement
Lead Center Committee Review and Project
update Monthly D M A I C
Page 19
19
Slide Tata Steel
Project Walkthrough
37
This segment deals with
Need for this project
Data gathering and analysis of problem
Approach taken for formulation of solution
Implementation of solution and its impact
Tracking improvements and communication to relevant stakeholders
Slide Tata Steel
5.00 Project Walkthrough (1/3)
38
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Business case: In FY’17 freight cost per ton for Tata
Steel was Rs 2445. As per BO&S in FY’18,
Departmental top KPI was reduction in freight cost by Rs
90 Crores resulting in reduction in per ton freight by ~ Rs
95. Freight cost is impacted by network route, different
handling rates at stockyards and mode of dispatch i.e.
rail, road & sea (also combinations of modes).
Problem Statement : In order to reduce freight cost by
~Rs 90 per ton, one of the key enablers was network
optimization. If we would continue with the same network
design then on yearly basis this leakage of cost due to
sub optimal routing would continue and the impact would
increase significantly due to impact of diesel price
escalation in road contracts and also due to increase in
output for Tata Steel Kalinganagar plant
Goal : Reduction in freight accrued by ~Rs 30 Crores
by exploiting network optimization lever
In scope:
All Stockyards
Out of scope:
All SPCs
Direct dispatch to Auto Segment
Financial Benefits : 30 Crs in FY’18
Team Members/Potential Team Members
Name Role
Jagjit Singh Project Champion
Nikhil Maheshwari Project Leader
Pankaj Kumar Team Member
Anil Harshana Team Member
Subrata Basak Team Member
R Krishna Team Member
Phase Apr-
17 May
-17 Jun-
17 Jul-17
Aug-17
Sep-17
Oct-17
Nov-17
Dec-17
Define
Measure
Analyse
Improve
Control
Project Plan
Page 20
20
Slide Tata Steel
5.00 Project Walkthrough (2/3)
39
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Supplier Input Process Output Customer
1. IT Team
2. Procurement
3. Transporter
4. Production
Planning
5. Finishing &
Dispatch
1. Dispatch
Team
2. Project
Champion
Timely
delivery
of correct
material
1.Trailers
2. Rakes
3. Containers
4. FG Steel
Products
5. SFTO
S I P O C
1. M&S
2. Customer –
(B2B & B2C)
Steering & Lead Center committee
Project Scope
Stakeholders identification using SIPOC
High
Stakeholder Prioritization using Power Grid
Matrix
In Scope Out of scope
Slide Tata Steel
5.00 Project Walkthrough (3/3)
40
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Define Measure Analyze Improve Control
SIPOC – To
Identify
stakeholders
ARMI – Level
of support of
stakeholders
Power Grid
Matrix –
Stakeholder
Prioritization
DICE – To
quantify
ease of
implementati
on of
Projects
Prioritization
Matrix -
Project
prioritization
within
department
Ishikawa – To
Understand the
causes for high
freight cost
Regression - Freight
calculation using
existing freight data
AHP – Prioritization
of software
Linear Programming –
For network
Analysis
Pareto –
Identification of top
levers
Prioritization Matrix -
Prioritization of
levers for cost
reduction
Brainstorming -
To formulate
action plan for
implementation
Managemen
t of Change
– To ensure
adoption of
new system
by
concerned
stakeholder
s
Page 21
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Slide Tata Steel
5.01 Data driven project flow: Define (1/17)
41
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
CSD Annual Savings Target - 90 Cr
Division savings target
600 Cr
MD Savings Target-
3200 Cr
KPI cascading DICE Score was used for assessing ease of implementation
Project Prioritization Matrix considers DICE score, Potential and Department Priority for ranking of Projects
Project Prioritization
**Network Optimization was identified as Top Project in Department Note - Lower the DICE score,
better the probability of execution
Sr. No Project Title Potential
(In Cr) DICE Score
Dep Priority Final Rating
1 Outbound Logistics cost reduction via Network Optimization 30 13 8 A
6 Reduction in rail idle freight using club loading at Central Stockyard in Jamshedpur 4 16 9 B
3 Reduction in sub optimal dispatch cost 20 16 9 C 9 Reduction in contract rates in stockyards 5 14 8 C
Duration
(Time) Integrity
Commitment
(Sr. Management)
Commitment
(Team) Effort
D I C1 C2 E
DICE Score = D + (2xI) + (2xC1) + C2 + E
DICE Score Range
7-13 Win Zone
14-17 Worry Zone
17-28 Woe Zone
DICE Score for our Project
= 3 + (2x1) + (2xC1) + 2 + 4
= 13 i.e.(Win Zone)
Slide Tata Steel
5.01 Data driven project flow: Measure(2/17)
42
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
In FY’17 per ton freight cost varied between Rs 2308 and Rs 2574 with avg cost of ~Rs 2445
Departmental objective of reduction in per ton freight cost by Rs ~95 through cost reduction of Rs 90 Crores
2470
2523
2487
2378
2408
2464
2499
2308
2409
2574
2347
2479
500
1000
1500
2000
2500
3000
Rs
per
To
n
FY’17 - Freight Cost(Rs per Ton)
Current Scenario:
Freight as % of Cost To Produce
9.05%
TSL Long Term objective
- To be lowest cost steel manufacturer
Procurement Cost
Production Cost
Freight Cost
Levers
Targeted
Page 22
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Slide Tata Steel
5.01 Data driven project flow: Measure - Complexity in TSL supply chain(3/17)
43
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Complexity in TSL Outbound Supply Chain
24 stockyards pan India
13 million ton Finished Goods delivered
Avg. distance travelled for 1 T dispatch – 870 Km
No. of possible routes from TSL to Customer ~ 600
Handling rates are different at each Stockyard
2 Production Plants i.e. TSJ and TSK
8 Mother Mills i.e. HSM,TSCR, WRM etc
60,000 unique SKUs
31 product types
Different types of railway wagons and different
axle load type trailers
TSL FG Steel Material flow Pan India
SPC Warehouse Siding
Slide Tata Steel
5.01 Data driven project flow: Analyze(4/17)
44
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
High
logistics
dispatch
Cost per
ton
North west
CA/HA has 90% share
as a customer from
Patna stockyard
Ishikawa Diagram – Cause identifier
Taxation issue i.e.
CST & VAT
Production constraints
Customer lifting
material from
specific stockyard
Rakeability for
Patna, Guwahati
and Bhubaneshwar
Rake availability
Road volume
commitment
Inter stockyard
transfer
Customer –
Plant Mapping
Taxation issue i.e.
CST & VAT
Production constraints
Rake
availability
Inter stockyard
transfer
Rakeability
for
Bangalore
Different
wagon types
i.e. BFNS,
BFNSM etc High special Road
volumes –Expensive
Road volume
commitment
High idle freight in
Flat products
Customer lifting
material from
specific stockyard
Diesel Price Variation
Clause for road
transportation
Diesel Price Variation
Clause for road
transportation
SFTO,
Container
and Indian
Railways
South East
Rakeability for
Jaipur, Chandigarh
& ludhiana
Inter stockyard
transfer
High idle
freight in Flat
products
Different wagon types
i.e. BFNS, BFNSM etc
Taxation issue i.e. CST & VAT High special Road
volumes –
Expensive
Road
volume
commitment
Customer lifting
material from
specific stockyard
Multiple handling –
Quality issues Diesel Price Variation
Clause for road
transportation Inter stockyard
transfer
Taxation issue i.e.
CST & VAT
Diesel Price Variation
Clause for road
transportation
Taloja region is
served from Nagpur
Customer lifting material
from specific stockyard
Rakeability for
Ahmedabad & Gujarat
region
Rake availability
Others
Others
Others
Rail
Road
Road
Rail
Rail
Rail
Road
Others
Page 23
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Slide Tata Steel
5.01 Data driven project flow: Analyze (5/17)
45
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Objective
• Reduction in freight cost by optimization of current network and route to serve
Requirement for
Analysis
• End to end mapping of all possible routes and freights from TSJ and TSK to Customer
Constraint
• In system freight was only available for routes currently operational
Resolution
• Linear Regression was used for calculation of unknown freights, x variable was distance and Y variable was freight in Rs per Ton
Slide Tata Steel
5.01 Data driven project flow: Analyze – Regression(6/17)
46
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Methodology adopted
Linear Regression was conducted for calculation of freight using distance as the independent variable,
distances were broken into different Km slabs i.e. 0-50 Km, 50-200 Km etc. and the output from each
regression was used for calculation of unknown freight for that particular Km range
Regression Output for 200-500 Km Range
200-500
Regression Statistics
Multiple R 0.94257
R Square 0.888438
Adjusted R Square 0.886867
Standard Error 94.37539
Observations 73
df SS MS F Significance F
Regression 1 5036024 5036024 565.4188 1.5365E-35
Residual 71 632376.7 8906.714
Total 72 5668400
CoefficientsStandard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0%
Intercept 100.8068 44.56399 2.262068 0.026756 11.948699 189.6648593 11.94869898 189.6648593
X Variable 1 3.057363 0.128577 23.77854 1.54E-35 2.80098893 3.313737855 2.800988933 3.313737855
SUMMARY OUTPUT
Page 24
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Slide Tata Steel
5.01 Data driven project flow: Analyze – Programming Approach(7/17)
47
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Approach for
Strategic/Long Term Plan
Approach for
Operational Plan for
this project
Consider only current stockyards
Calculate Freights for all possible routes
Use optimizer for optimizing with
current infrastructure capabilities only
Holistic View -Consider other possible locations
where TSL can have a stockyard in addition to
existing ones
Calculate Freights for all possible routes
Built in flexibility for different Scenario
Analysis
Use optimizer for optimizing future
volumes and possible locations
Subset of
Strategic Plan
This project deals with optimizing current stockyards
and route to serve
We wanted to build flexibility for analyzing potential
future volumes and stockyards
We also wanted Capability for scenario analysis
Slide Tata Steel
5.01 Data driven project flow: Analyze – AHP - Selection of Optimizer Software(8/17)
48
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Pair wise comparison at criteria level
Solver
Capability Interface Deployment Language
Priority Vector
(V0)
Solver
Capability 1 3 2 3 0.45
Interface 1/3 1 1/2 1/2 0.12
Deployment 1/2 2 1 2 0.26
Language 1/3 2 1/2 1 0.17
Sigma xi 2.17 8.00 4.00 6.50
Pair wise comparison at alternative level
Solver Capability IBM AIMMS Lindo Priority Vector(V1)
IBM 1 1 2 0.40
AIMMS 1 1 2 0.40
Lindo 1/2 1/2 1 0.20
Sigma xi 2.5 2.5 5
Interface IBM AIMMS Lindo Priority Vector(V2)
IBM 1 1/2 3 0.334
AIMMS 2 1 3 0.52
Lindo 1/3 1/3 1 0.14
Sigma xi 3.33 1.83 7
Deployment IBM AIMMS Lindo Priority Vector(V3)
IBM 1 1 2 0.40
AIMMS 1 1 2 0.40
Lindo 1/2 1/2 1 0.20
Sigma xi 2.5 2.5 5
Language options IBM AIMMS Lindo Priority Vector(V4)
IBM 1 1/2 1/2 0.20
AIMMS 2 1 1 0.40
Lindo 2 1 1 0.40
Sigma xi 5 2.5 2.5
V1 V2 V3 V4
Final
Scores
IBM 0.400 0.334 0.400 0.200 0.358
AIMMS 0.400 0.525 0.400 0.400 0.415
Lindo 0.200 0.142 0.200 0.400 0.227
Rank Software
1 AIMMS
2 IBM
3 Lindo
Criteria wise evaluation was carried out
followed by options based on the given
criteria and subsequently final ranking
was done. AIMMS software was finalised
based on the ranking score which was
arrived using sum-product of V0 with
V1, V2, V3 and V4
Priority Vector(V0)
0.45 0.12 0.26 0.17
Page 25
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Slide Tata Steel
5.01 Data driven project flow: Analyze – Linear Programming (9/17)
49
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Linear Programming Objective Function
Network cost Optimization by selecting the least cost route to serve the customer without impacting service levels
Formulation of Logic
For this project modeling was done considering the AS-IS infrastructure and Demand
Solver used is CPLEX
In order to reduce complexity and optimization time of CPLEX, 378 clubbed customer locations were defined
comprising of all customer demand locations
Distance of 378 customer clubbed demand location was mapped with 27 stockyards and both Plants
i.e. TSJ and TSK
Linear regression analysis was carried out for calculating freights for all possible routes using the available set
of data (distance was calculated using google maps)
Coastal rates were taken from TSL Shipping Team
Constraints on wagons type, customer requirement of special vehicles was not taken into the logic as it
was out of our control
Constraints of handling at stockyards and rates were taken from SAP
Differential handling rates are applicable at stockyards depending upon the threshold quantity handled
Slide Tata Steel
5.01 Data driven project flow: Analyze – Linear Programming (10/17)
50
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
AIMMS - Linear Programming Modeling
Page 26
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5.01 Data driven project flow: Analyze – Linear Programming (10/17)
51
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
AIMMS - Linear Programming Modeling
Slide Tata Steel
5.01 Data driven project flow: Analyze – Linear Programming (12/17)
52
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
AIMMS - Linear Programming Output Screen Shot
SPCs
Stockyard to Customer Tab – It shows which customer location to be served from which stockyard for eg :
system suggests Bhiwadi to be served from Palwal stockyard
Plant to Customer Tab – It shows which location to be served from Plant directly and by which mode
Stockyard to Cust Plant to Cust
Page 27
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5.01 Data driven project flow: Analyze – Linear Programming (13/17)
53
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
CUSTOMER NAME Source Current SYD Location Proposed
SYD/Siding Volume
Current Cost (Cr)
Proposed Cost (Cr)
SKM STEELS LIMITED TSJ Nagpur TALOJA Boisar 24,933
38 33 NARESH STEEL TSK Nagpur TALOJA Boisar 23,097
ROHIT & COMPANY TSJ Nagpur TALOJA Boisar 16,112 ROHIT & COMPANY TSK Nagpur TALOJA Boisar 15,430
SKM STEELS LIMITED TSK Nagpur TALOJA Boisar 14,056 M/S.DHARAMVIR & BRO TSJ Ludhiana LUDHIANA Ludhiana 27,254
46 42
SANGEETA STEEL CORP. TSJ Ludhiana LUDHIANA Ludhiana 17,768 FAIRDEAL STEELS PVT.LTD. TSJ Ludhiana LUDHIANA Ludhiana 17,534 M/S.DHARAMVIR & BRO TSK Ludhiana LUDHIANA Ludhiana 10,659
PUNJAB AGRO TSJ Ludhiana LUDHIANA Ludhiana 9,331 BHAGWATI STEEL SALES TSJ Ludhiana DERABASSI Chandigarh 9,063 BHAGWATI STEEL SALES TSK Ludhiana DERABASSI Chandigarh 7,791
FAIRDEAL STEELS PVT.LTD. TSK Ludhiana LUDHIANA Ludhiana 7,544 SANGEETA STEEL CORP TSK Ludhiana LUDHIANA Ludhiana 6,578
PUNJAB AGRO TSK Ludhiana LUDHIANA Ludhiana 6,233
Example : Output of AIMMS broken down at idea/lever level
AIMMS output is at customer location level
We then break it at specific customer level
Difference in cost for current route vs proposed route is calculated
Above table shows customer level breakup for Astrum (Branded Hot Rolled Coils) material to Taloja and
Ludhiana Region – These are categorized under Direct Dispatch to customer Lever
Slide Tata Steel
5.01 Data driven project flow: Analyze – Summary & Prioritization (14/17)
54
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Code Description
a Direct dispatch eastern region
b Direct dispatch to ASTRUM customers
c Direct Dispatch TSPDL
d Elimination of Inter-stockyard movement in flat products
e Elimination of Inter-stockyard movement in long products
f Closure of stockyards
g Others
Pareto - Idea Level drilldown breakup for levers using AIMMS Output
Impact-Control Matrix
f. Closure of Stockyards
b. Direct dispatch to Astrum Customers
c. Direct dispatch to TSPDL
d. Elimination of Inter-stockyard move
-ment in flat products
e. Elimination of Inter-stockyard mov
-ement in long products
a. Direct dispatch to Eastern Region
Hig
h
Impact
High Low
Lo
w
Impact
Co
ntr
ol
g. Others
High Low
Lo
w
Hig
h
Impact
High Low
Lo
w
Page 28
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5.01 Data driven project flow: Improve/Implement (15/17)
55
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Lever Identified using AIMMS output Max Value (In
Cr)
Direct Dispatches to East region from Jamshedpur 11
Direct dispatch to Astrum customers 15
Direct dispatch to TSPDL 7
Closure of stockyards( Ghaziabad, Dehradun, Hubli, Varanasi and Patna ) 7
Reduction in inter stockyard flows (Both Flat and Long) 8
Rerouting of customers between stockyards to save on stockyard handling and freight cost 2
Targeted
Brainstorming session with all
stakeholders
To discuss and check the
feasibility of idea suggested by
AIMMS output
Identification of enablers for
ideas and removal of roadblocks
Phase wise roadmap for
implementation of ideas
Slide Tata Steel
5.01 Data driven project flow: Improve/Implement – Idea Process Cycle (16/17)
56
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Input
Sanitization
Software
Modeling
Output
Analysis
Idea :
Customer
Product
Location
Stockyard
Capacity
Assessment
Syndication
with M&S
Will pricing
philosophy
change
Customer
picks the
material or we
supply it
Impact on buffer
design and order
triggering
philosophy
Syndication with
Production
Planning
Build
transportation
capacity
Idea 7
10 4-7
3-5 2
7-10 2-3
1 6-7
3-5 10-30
Stage
Days
Page 29
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5.01 Data driven project flow: Improve/Implement (17/17)
57
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Lever Identified using AIMMS output Implementation Strategy
Direct Dispatches to East region from
Jamshedpur
Postponed due to customer reluctance, inventory
constraint in Jamshedpur and road capability for month end
sales requirement
Target Tata Astrum brand (Branded Hot Rolled
Coil) for direct dispatch to customers
Phase wise implementation :
1st phase - Astrum Taloja region customers
2nd phase - Astrum Ludhiana and Hyderabad
Target Tata steel subsidiaries like TSPDL(buying
as a customer) for direct dispatch
Sync with TSPDL and implement ASAP
Close Ghaziabad, Dehradun, Hubli, Varanasi
and Patna Stockyard
Patna and Ghaziabad stockyards can not be closed
due to resistance from major customers
1st Phase: Hubli and Dehradun
2nd Phase: Varanasi
Reduction in inter stockyard flows Sync with Sales planning and implement ASAP
Faster Inventory turn around Implementable along with other levers
Rerouting of customers between stockyards to
save on stockyard handling and freight cost
For rerouting of customers to different stockyard target only
customers with significant volumes and high savings in
freight
Slide Tata Steel
5.02 Solution Validation (1/2)
58
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Current :
Freight as %
of Cost to Produce
9.05%
Desired:
Freight as
% of Cost to Produce
8.7%
1.2% reduction
in freight per
ton cost
Goal
Expected Goals & Benefits
Project Prioritization Matrix
Sr. No Project Title Potential
(In Cr) DICE Score
Dep Priority Final Score Final Rating
1 Outbound Logistics cost reduction via Network Optimization 30 13 8 1.6 A
6 Reduction in rail idle freight using club loading at Central Stockyard in Jamshedpur 4 16 9 1.8 B
3 Reduction in sub optimal dispatch cost 20 16 9 1.8 C 9 Reduction in contract rates in stockyards 5 14 8 1.8 C
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5.02 Solution Validation (2/2)
59
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Current flow Proposed Flow
Jamshedpu
r
Kalinganagar
Nagpur SYD
Taloja
Boisar
Jamshedpur
Kalinganagar
Nagpur
Taloja
Boisar
Source Mode
Stockyard TDSC (Rs/Ton) Savings
Current Propose
d Current
Propos
ed Rs/Ton Rs Cr
TSJ Road Nagpur Direct 4550 3900 650 0.5
TSJ Rail Nagpur Trans-ship in Boisar
3970 3560 410 1.5
TSK Road Nagpur Direct 4650 4000 650 0.1
TSK Rail Nagpur Trans-ship in Boisar
4140 3560 580 2.8
Overall 4.8
Customer
Naresh
SKM
Rohit & Co
Overall
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5.03 Solution Justification (1/2)
60
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Benefits of AIMMS outweigh the cost
ROI can be recovered within a month of
project implementation
AIMMS Cost
– 1 Cr
Network Optimization
Potential Benefits –
Rs 30 Cr
Road freight reduction post GST due to reduction
in transit time
Planned Output Unplanned Output -
Rs 4 Crs savings in road transportation
freight contracts
Road freight reduction example
Page 31
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5.03 Solution Justification (2/2)
61
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
225 223
Pre : Only Delhi was Hub
for Long Products
Post : Delhi and Palwal
Created as Hubs for Long
Products
Redesigning of Hub & Spokes in North region For
Long Products
Unplanned Output –
Redesigning of Hub & Spoke for Long products
- Value Rs 2 Crs in FY’19
Unplanned Output –
Implementation of Forward Charge Mechanism –
Value Rs 7 Crs in FY’19
Slide Tata Steel
5.04 Results
62
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Lever Savings In
(Cr)
Elimination of Inter stockyard Flow except for Hub and spoke for Long Products 5.5
Stockyard closure – Dehradun, Hubli and Varanasi 4.5
Direct dispatch to TSPDL (as a customer) 5.8
Astrum Direct dispatches 7.1
Freight contract negotiation post GST due to reduction in transit time 4
Rerouting of customers to most optimal stockyard 2
In transit inventory reduction 1.1
2445
2322 2408
2454 2500
2300
2348
2233 2246
2258 2329
2181 2294
2310
FY'17 FY'18 Apr-17 May-17 Jun-17 Jul-17 Aug-17 Sep-17 Oct-17 Nov-17 Dec-17 Jan-18 Feb-18 Mar-18
1700
1800
1900
2000
2100
2200
2300
2400
2500
2600
Rs/
To
n
Total Freight Cost/Ton
Apex Objective CSD Objective KPM UOMActual
FY17
Target
FY18
Actual
FY18
Respo
nsibilit
y
PQC
DSM
E
Monitori
ng
Frequen
cy
Strategy KPM UOMActual
FY17
Target
FY18
TDSC Rs/Ton 2445 2350 Rs. Cr. 100 90Chief
CSD&LC Monthly
Achieve improvement savings through
SHIKHAR 25Saving
S02.c. Reduction in
despatch cost
Reduction in Total
Delivery System Cost
(TDSC)
BO&S of
Chief for
FY’18
Savings
Accrual in
FY’18 – Vetted
by Finance
Department
TDSC
Trend
FY’18
Page 32
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Slide Tata Steel
4269
1718
4964
3515
2880
710
6 0 0 0
809
171 5 0 0 0 0 0 0500
100015002000250030003500400045005000
FY'17avg
Aug Sep Oct Nov Dec Jan Feb Mar
Qty
per
mo
nth
(In
T)
Stockyard Closure
Hubli Stockyard Dehradun Stockyard
Hubli Dehradun
7700
21000
1551 160
400 308 309 271 345
197
7164
5818 8952 11765
6712
3889 4562
4400
0
5000
10000
15000
20000
FY'17Avg
Aug Sep Oct Nov Dec Jan Feb Mar
Qty
per
mo
nth
(In
T)
Inter Stockyard Transfer
FP interstockyard LP interstockyardFlat Product Long Products
2972
7813
6480
10222 10158
11297
9878
7200
9756
1000
3000
5000
7000
9000
11000
FY'17Avg
Aug Sep Oct Nov Dec Jan Feb MarQ
ty p
er
mo
nth
(In
T)
Astrum Taloja Direct Dispatch
9250
17918 19445
27201 28441
39210 40207
28166
38517
7000
12000
17000
22000
27000
32000
37000
FY'17Avg
Aug Sep Oct Nov Dec Jan Feb Mar
Qty
per
mo
nth
(In
T)
TSPDL Direct Dispatch
5.05 Maintaining the Gains (1/3)
63
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Slide Tata Steel
5.05 Maintaining the Gains (2/3)
64
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
34
32
31
43
32
33
34
57
0
10
20
30
40
50
60
Val
ue
in L
akh
Inventory Savings
721
1327
1936
1528
1124
1646
0
500
1000
1500
2000
FY'17 avg Nov Dec Jan Feb Mar
Qty
in T
Astrum Hyderabad Direct Dispatch
FY’17 Avg. distance travelled for 1 T dispatch -
870
FY’18 Avg. distance travelled for 1 T dispatch –
830
Reduction of 4.5% in CO2 emission due to
reduction in distance travelled
826
1581
2002
6227
4870
6035
4571
4783
5124
0
2000
4000
6000
8000
10000
12000
FY'17avg
Aug Sep Oct Nov Dec Jan Feb Mar
Qty
in T
Astrum Ludhiana Direct Dispatch
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Slide Tata Steel
5.05 Maintaining the Gains (3/3)
65
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough
Management of Change
App development for elimination of inter stockyard transfer
Capability Development- Central Hub storage area allotment for Long Product for
Varanasi stockyard closure and open up Bay4(open yard storage) for operations
Change in orders triggering from regional warehouse to plant warehouse(Central
Hub) for Varanasi Stockyard closure
SOP modification
SOP for new Hubs and spokes and subsequent implementation of order triggering
Central Hub SOP change for handling n storing
Training
To all the staff of Central Hub for modified SOPs
To Planning members for logging orders on central hub
To M&S for logging direct orders
Note: Central Hub is a small stockyard within Tata Steel Jamshedpur
Slide Tata Steel
5.06 Project Communication(1/2)
66
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough Monthly MIS to Steering Committee Monthly Lead Center Review- MOM
Page 34
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Slide Tata Steel
5.06 Project Communication(2/2)
67
Project
Background
& Purpose
Project
Framework
Project
Stakeholders
& Project
Team
Project
Overview
Project
Walkthrough Weekly Review by Project Champion Management Review of Transporters Performance
Slide Tata Steel 68
Thanks