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Supply Chain Management - Lean and Agile Manufacturing - Collaborative Commerce Seoul National University Manufacturing Automation & Integration L ab. 2001.2.2 Bumsoo Kim
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Supply Chain Management- Lean and Agile Manufacturing- Collaborative Commerce

Seoul National UniversityManufacturing Automation & Integration Lab.

2001.2.2 Bumsoo Kim

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Contents Introduction

Supply chain dynamics and optimization Bullwhip effect

Lean and agile manufacturing Integrating the lean and agile manufacturing paradigms

in the total supply chain Agile supply chain

Total cycle time compression and the agile supply chain

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ContentsSupply chain dynamics

Bullwhip Effect

Lean and agilemanufacturing

Agile Supply Chain

Material delay& Information delay Linear & nonlinear

supply chain

ERP II

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IntroductionSupply chain dynamics and optimization

Integrated Manufacturing Systems 11/5 [2000] 348-364 Robert de Souza, Song Zice, Liu Chaoyang

Nanyang Technological University Singapore Contents

Simulation model Performance indicator :

Echelon cost, total cost, dynamics of inventory, dynamics of order

Analysis of the supply chain dynamics Coordination in supply chain management Decentralized coordination model

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IntroductionBullwhip Effect

Dynamics of order

Dynamics of inventory

Reorder

Capacity constraint

Information delay

Material delay

Poor coordination

Forecast

Batching

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Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain

Int. J. Production Economics 62 (1999) 107-118

J. Ben Naylora,*, Mohamed M Naima, Danny Berryb

a Logistics Systems Dynamics Group, Department of Maritime Studies and International transport, University of Wales CardiffB Formerly Logistics Systems Dynamics Group, now Hewlett Packard

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Paradigm definitions Agility

Agility means using market knowledge and a virtual corporation to exploit profitable opportunities in a volatile market.

Leanness Leanness means developing a value stream to eliminate all

waste, including time, and to ensure a level schedule. Decoupling point

Decoupling point separates the part of the organization oriented towards customer orders from the part of the organization based on planning

Buffer stock, stock holding point It depends on longest lead time an end-user is prepared to

tolerate and the point at which variability in product demand dominates.

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Characteristics of paradigms Use of market knowledge

All business in any supply chain must focus on the end-user. Integrated supply chain

The coal of an integrated supply chin is to remove all boundaries to ease the flow of material, cash, resources and information

Lead time compression “muda”

Eliminate Information DelayEliminate Information Delay

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Positioning of decoupling point

LeanLeanManufacturingManufacturing

Smooth Demand/Smooth Demand/Level SchedulingLevel Scheduling

AgileAgileManufacturingManufacturing

Robustness/Robustness/Satisfying a Fluctuating DemandSatisfying a Fluctuating Demand

Forecasting Forecasting Kanban Kanban

Decoupling PointDecoupling Point&&

Postponement Postponement

II

II TT

VV

AA

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PC Supply chain case

Assemble to OrderAssemble to Order

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Total cycle time compressionand the agile supply chain

Int. J. Production Economics 62 (1999) 61-73

Rachel Mason-Jones, Denis R. TowillLSDG, MASTS Cardiff University

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Paradigm definitions TCT(Total Cycle Time) Compression

Definition The elapsed time between customer enquiry and customer

need being met. (Philip Thomas) TBM(Time Based Management. BCG)

Reducing TCT Slashing material flow lead time Slashing information flow lead time

Pursuit of the Zeros Zero Waste + Time, materials, labor, capacity, computing

power, management effort, total cycle time, information flow

BSE(Business Systems Engineering. Watson) Understand Document Simplify Optimize

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“Information enriched” supply chain

Paradigm definitions

Electronic Point of Sales LinkElectronic Point of Sales Link

““Information is power”Information is power”

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References Quantitative models for supply chain management, edited by Sridhar Tayur, Ram

Ganeshan and Michael Magazine., Kluwer Academic Publishers, 1999 Robert de Souza et al. Supply chain dynamics and optimization. Integrated Man

ufacturing Systems 2000:11/5:348-364 J. Ben Naylor, Mohamed M. Naim, Danny Berry. Leagility: Integrating

the lean and agile manufacturing paradigms in the total supply chain. Int. J. Production Economics 62 (1999) 107-118

Rachel Mason-Jones, Denis R. Towill. Total cycle time compressionand the agile supply chain. Int. J. Production Economics 62 (1999) 61-73