Top Banner
Process Analysis I d i / Th h Introduction / The three measures Prof. Christian Terwiesch
39

Process Analysis Module 1 Slides

Oct 30, 2014

Download

Documents

jasson_cordones

Process Analysis
Introduction / Th three I d i The h measures

Prof. Christian Terwiesch

Subway – Sitting in Front of the Store

Prof. Christian Terwiesch

Subway – Sitting in Front of the Store

25 Minutes later….

Prof. Christian Terwiesch

Subway – Sitting in Front of the Store

Prof. Christian Terwiesch

Processes: The Three Basic Measures

• Flow rate / throughput: number of flow units going through the process per unit of time • Flow Time: time it takes a flow unit to go from the begi
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Process Analysis Module 1 Slides

Process AnalysisI d i / Th hIntroduction / The three measures

Prof. Christian Terwiesch

Page 2: Process Analysis Module 1 Slides

Subway – Sitting in Front of the Store

Prof. Christian Terwiesch

Page 3: Process Analysis Module 1 Slides

Subway – Sitting in Front of the Store

25 Minutes later….

Prof. Christian Terwiesch

Page 4: Process Analysis Module 1 Slides

Subway – Sitting in Front of the Store

Prof. Christian Terwiesch

Page 5: Process Analysis Module 1 Slides

Processes: The Three Basic Measures

• Flow rate / throughput: number of flow units going through the process per unit of time

• Flow Time: time it takes a flow unit to go from the beginning to the end of the process

• Inventory: the number of flow units in the process at a given moment in time

• Flow Unit: Customer or SandwichFlow Unit: Customer or Sandwich

Prof. Christian Terwiesch

Page 6: Process Analysis Module 1 Slides

Process Analysis: The Three Measures

Immigration department Champagne MBA program Auto company

Applications

Approved or rejected cases

Processing time

Bottle of champagne

Bottles sold per year

Time in the cellar

Student

Graduating class

2 years

Car

Sales per year

60 daysProcessing time

Pending cases

Time in the cellar

Content of cellar

2 years

Total campus population

60 days

Inventory

Prof. Christian Terwiesch

Page 7: Process Analysis Module 1 Slides

Summary

When observing a process always aim to understand the three process measuresWhen observing a process, always aim to understand the three process measures

• Flow rate / throughput: number of flow units going through the process per unit of time

Flow Time: time it takes a flow unit to go from the beginning to the end of the process• Flow Time: time it takes a flow unit to go from the beginning to the end of the process

• Inventory: the number of flow units in the process at a given moment in time

In the next session we will discuss what drives these measuresIn the next session, we will discuss what drives these measures

We will then find out that the three measures are related to each other

Prof. Christian Terwiesch

Page 8: Process Analysis Module 1 Slides

Process AnalysisFinding the bottleneck

Prof. Christian Terwiesch

Page 9: Process Analysis Module 1 Slides

Process Analysis

In this session, we will take you INSIDE the black box

Specifically, you will learn how to:

1. Create a process flow diagram

2. Find the bottleneck of the process and determine the maximum flow rate

3 Conduct a basic process analysis3. Conduct a basic process analysis

Prof. Christian Terwiesch

Page 10: Process Analysis Module 1 Slides

Subway – Inside the Store

Prof. Christian Terwiesch

Page 11: Process Analysis Module 1 Slides

Drawing a Process Flow Diagram

Prof. Christian Terwiesch

Page 12: Process Analysis Module 1 Slides

Drawing a Process Flow Diagram

Customers Station 1 Station 2 Station 3

Symbols in a process flow diagram

Difference between project management and process management

Prof. Christian Terwiesch

Page 13: Process Analysis Module 1 Slides

Basic Process Vocabulary

• Processing times: how long does the worker spend on the task?

• Capacity=1/processing time: how many units can the worker make per unit of timeIf there are m workers at the activity: Capacity=m/activity time

• Bottleneck: process step with the lowest capacity

• Process capacity: capacity of the bottleneck

• Flow rate =Minimum{Demand rate, Process Capacity)

• Utilization =Flow Rate / Capacity

• Flow Time: The amount of time it takes a flow unit to go through the process

• Inventory: The number of flow units in the system

Prof. Christian Terwiesch

Inventory: The number of flow units in the system

Page 14: Process Analysis Module 1 Slides

Process AnalysisLabor productivity measures

Prof. Christian Terwiesch

Page 15: Process Analysis Module 1 Slides

Labor Productivity MeasuresTi

me

a2

a4

Bottleneck=Idle Time =Processing time

a1

Pro

cess

ing

a• Cycle time CT= 1/ Flow Rate

Di t L b C t t

Labor Productivity Measures

P a3 Direct Labor Content=p1+p2+p3+p4If one worker per resource:

Direct Idle Time=(CT-p1) +(CT-p2) +(CT-p3)

A l b tili ti1 2 3 4

• Capacityi =

Review of Capacity CalculationsResources ofNumber i

time idle direct content labor content labor

• Average labor utilization

Capacityi

• Process Capacity=Min{Capacityi}

• Flow Rate = Min{Demand Capacity}

iTime Processing

timeofunitperRateFlow time of unit perwages Total

• Cost of direct labor

Prof. Christian Terwiesch

Flow Rate Min{Demand, Capacity}

• Utilizationi=iCapacity

Rate Flow

p

Page 16: Process Analysis Module 1 Slides

Example: Assembly Line with Six Stations

3 min/unit 5 min/unit 2 min/unit 3 min/unit 6 min/unit 2 min/unit

Prof. Christian Terwiesch

Page 17: Process Analysis Module 1 Slides

Insert Excel analysis of Subway line here

Prof. Christian Terwiesch

Page 18: Process Analysis Module 1 Slides

100%

The Role of Labor Costs in Manufacturing: The Auto Industry

70%

80%

90%

100%

QualityWarrantyOverheadOther

30%

40%

50%

60%

Purchasedparts andassemblies

Parts andmaterialcosts Logistics costs

Assembly and otherLabor costs

0%

10%

20%

30%

Fi l I l di I l di R ll d

Material costs

Final Assembler’s cost

IncludingTier 1Costs

IncludingTier 2Costs

Rolled-upCosts over~ 5 Tiers

• While labor costs appear small at first, they are importantlook relative to value added- look relative to value added

- role up costs throughout the value chain

• Implications

Prof. Christian Terwiesch

- also hunt for pennies (e.g. line balancing) - spread operational excellence through the value chain

Source: Whitney / DaimlerChrysler

Page 19: Process Analysis Module 1 Slides

Process AnalysisLittle’s Law

Prof. Christian Terwiesch

Page 20: Process Analysis Module 1 Slides

Processes: The Three Key Metrics

Prof. Christian Terwiesch

Page 21: Process Analysis Module 1 Slides

Little’s law: It’s more powerful than you think...

What it is: Inventory (I) = Flow Rate (R) * Flow Time (T)

How to remember it: - units

Implications:• Out of the three fundamental performance measures (I,R,T), two can be chosen by

management, the other is GIVEN by nature• Hold throughput constant: Reducing inventory = reducing flow time

Given two of the three measures, you can solve for the third:• Indirect measurement of flow time: how long does it take you on average to respond to an email?

You write 60 email responses per dayYou have 240 emails in your inbox

Prof. Christian Terwiesch

Page 22: Process Analysis Module 1 Slides

Examples for Little’s Law Applications

In a large Philadelphia hospital, there are 10 births per day.80% of the deliveries are easy and require mother and baby to stay for 2 days20% of the cases are more complicated and require a 5 day stay

What is the average occupancy of the department?

Prof. Christian Terwiesch

Source: Graves and Little

Page 23: Process Analysis Module 1 Slides

Little’s law: Some remarks

Not an empirical law

Robust to variation, what happens inside the black box

Deals with averages – variations around these averages will exist

Holds for every time window

Shown by Professor Little in 1961

Prof. Christian Terwiesch

Page 24: Process Analysis Module 1 Slides

Process AnalysisInventory Turns / Inventory costs

Prof. Christian Terwiesch

Page 25: Process Analysis Module 1 Slides

Inventory Turns

Cost of Goods sold: 25,263 mill $/yearInventory: 2,003 mill $

Cost of Goods sold: 20,000 mill $/yearInventory: 391 mill $Inventory: 391 mill $

Inventory TurnsComputed as: COGSComputed as:

Based on Little’s law

Inventory COGS

Inventory turns=

Prof. Christian Terwiesch

Based on Little s lawCareful to use COGS, not revenues

Page 26: Process Analysis Module 1 Slides

Inventory Turns At Dell

90

100

60

70

80

40

50

60

10

20

30

0

10

1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010

Prof. Christian Terwiesch

Page 27: Process Analysis Module 1 Slides

Inventory Turns in Retailing and Its Link to Inventory Costs

Inventory Cost Calculation

Compute per unit inventory costs as:

P it I t t = costsinventory AnnualPer unit Inventory costs=turnsInventory

y

Example:Example:

• Annual inventory costs=30%• Inventory turns=6

Per unit Inventory costs= %5year per turns 6

year per 30%

Prof. Christian Terwiesch

Source: Gaur, Fisher, Raman

Page 28: Process Analysis Module 1 Slides

Process AnalysisBuffer or Suffer

Prof. Christian Terwiesch

Page 29: Process Analysis Module 1 Slides

Simple Process Flow – A Food TruckFood Truck Every five minutes:

- You get 0, 1, or 2 orders with equal probability- You have a capacity of 0, 1, or 2 with equal probability- It is not possible to make a sandwich before the order - Customers are not willing to wait

=> How many sandwiches will you sell per five minute slot?

Prof. Christian Terwiesch

Page 30: Process Analysis Module 1 Slides

Variability Will Be a Key Factor in Waiting Time

Why variability does not always average itself out

Buffer-or-suffer strategy

Prof. Christian Terwiesch

Buffering is easier in production settings than in services (make to order vs make to stock)Preview two different models: Queue and Newsvendor

Page 31: Process Analysis Module 1 Slides

Difference Between Make-to-Order and Make-to-StockMcDonald’s

1. Make a batch of sandwiches2. Sandwiches wait for customer orders3 Customer orders can filled immediately

Subway1. Customer orders2. Customer waits for making of sandwich3 Customer orders can filled with delay3. Customer orders can filled immediately

=> Sandwich waits for customer3. Customer orders can filled with delay

=> Customer waits for sandwich

Which approach is better?Which approach is better?

Make-to-Stock advantages include:+ Scale economies in production+ Rapid fulfillment (short flow time for customer order)+ Rapid fulfillment (short flow time for customer order)

Make-to-Order advantages include:+ Fresh preparation (flow time for the sandwich)+ Allows for more customization (you can’t hold all versions+ Allows for more customization (you can t hold all versions

of a sandwich in stock)+ Produce exactly in the quantity demanded

Prof. Christian Terwiesch

Page 32: Process Analysis Module 1 Slides

Examples of Demand Waiting for Supply

Service Examples ER Wait Times: 58-year-old Michael Herrara of Dallas died of a heart attack

after an estimated 19 hours in the local Hospital ERSome ER’s now post expected wait times online / via Apps

It takes typically 45 days do get approval on a mortgage; Strong link between wait times and conversionW iti ti f d i th h t M D ld’ 159 d L Waiting times for drive-through at McDonald’s: 159 seconds; Long queues deter customers to join

Production ExamplesProduction Examples• Buying an Apple computer • Buying a Dell computer

=> Make-to-order vs Make-to-Stock> Make to order vs Make to Stock

Prof. Christian Terwiesch

http://www.minyanville.com/businessmarkets/articles/drive-thrus-emissions-fast-food-mcdonalds/5/12/2010/id/28261

Page 33: Process Analysis Module 1 Slides

Five Reasons for Inventory

Pipeline inventory: you will need some minimum inventory because of the flow time >0

Seasonal inventory: driven by seasonal variation in demand and constant capacity

Cycle inventory: economies of scale in production (purchasing drinks)

Safety inventory: buffer against demand (Mc Donald’s hamburgers)

Decoupling inventory/ buffers: buffers between several internal steps

Prof. Christian Terwiesch

Source: De Groote

Page 34: Process Analysis Module 1 Slides

Process AnalysisMultiple flow units

Prof. Christian Terwiesch

Page 35: Process Analysis Module 1 Slides

Processes with Multiple Flow Units

Contact faculty/other persons

Foreign Dep.m=2

20 min/app

3 cases per hour11 cases per hour4 cases per hour EZ form

Regular

Foreign acc.

File

Contact prioremployers Confirmation

Filem=1

3 min/app Print invoicem=1

Department 1m=3employers

Benchmarkgrades

Confirmationletter2 min/app

m 315 min/app

Department 2m=2

8 min/app8 min/app

Prof. Christian Terwiesch

Page 36: Process Analysis Module 1 Slides

Approach 1: Adding-up Demand Streams

Prof. Christian Terwiesch

Page 37: Process Analysis Module 1 Slides

Approach 2: A Generic Flow Unit (“Minute of Work”)

Prof. Christian Terwiesch

Page 38: Process Analysis Module 1 Slides

Steps for Basic Process Analysis with Multiple Types of Flow Units

1. For each resource, compute the number of minutes that the resource can produce

2. Create a process flow diagram, indicating how the flow units go through the processthe process

3. Create a table indicating how much workload each flow unit is consuming at each resource

4 Add up the workload of each resource across all flow units4. Add up the workload of each resource across all flow units.5. Compute the implied utilization of each resource as

The resource with the highest implied utilization is the bottleneck

Prof. Christian Terwiesch

Note: you can also find the bottleneck based on calculating capacity for each step and then dividing the demand at this resource by the capacity

Page 39: Process Analysis Module 1 Slides

Processes with Attrition Loss

500 ideas70/500 20/70 6/20 2/6

Where is the Bottleneck?

Pitches Scripts Pilots New Series

Showsper year

Processing time 2 days 10 days 30 days 70 days 200 daysProcessing time 2 days 10 days 30 days 70 days 200 days

Resources 5 judges 3 script writers 2 pilot teams 2 Series crews 1 Main crew(250 days per year)

Prof. Christian Terwiesch