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Title: Supply Chain Management - Lean and Agile Manufacturing - Collaborative Commerce


1
Supply Chain Management- Lean and Agile
Manufacturing- Collaborative Commerce
  • Seoul National University
  • Manufacturing Automation Integration Lab.
  • 2001.2.2
  • Bumsoo Kim

2
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

3
Contents
Supply chain dynamics Bullwhip Effect
Material delay Information delay
Linear nonlinear supply chain
Lean and agile manufacturing
ERP II
Agile Supply Chain
4
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

5
IntroductionBullwhip Effect
  • Dynamics of order
  • Dynamics of inventory
  • Reorder
  • Capacity constraint
  • Information delay
  • Material delay
  • Poor coordination
  • Forecast
  • Batching

6
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 Cardiff
  • B Formerly Logistics Systems Dynamics Group, now
    Hewlett Packard

7
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.

8
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 Delay
9
Positioning of decoupling point

Forecasting ? Kanban
V
I
T
I
A
Agile Manufacturing Robustness/ Satisfying a
Fluctuating Demand
Decoupling Point Postponement
Lean Manufacturing Smooth Demand/ Level
Scheduling
10
PC Supply chain case

Assemble to Order
11
Total cycle time compressionand the agile supply
chain
  • Int. J. Production Economics 62 (1999) 61-73
  • Rachel Mason-Jones, Denis R. Towill
  • LSDG, MASTS Cardiff University

12
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

13
Paradigm definitions
  • Information enriched supply chain

Information is power
Electronic Point of Sales Link
14
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 Manufacturing Systems
    200011/5348-364
  • 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
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