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20010202_kbs.ppt

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20010202_kbs.ppt

  1. 1. Supply Chain Management - Lean and Agile Manufacturing - Collaborative Commerce Seoul National University Manufacturing Automation & Integration Lab. 2001.2.2 Bumsoo Kim
  2. 2. Contents <ul><li>Introduction </li></ul><ul><ul><li>Supply chain dynamics and optimization </li></ul></ul><ul><ul><li>Bullwhip effect </li></ul></ul><ul><li>Lean and agile manufacturing </li></ul><ul><ul><li>Integrating the lean and agile manufacturing paradigms in the total supply chain </li></ul></ul><ul><li>Agile supply chain </li></ul><ul><ul><li>Total cycle time compression and the agile supply chain </li></ul></ul>
  3. 3. Contents Supply chain dynamics Bullwhip Effect Lean and agile manufacturing Agile Supply Chain Material delay & Information delay Linear & nonlinear supply chain ERP II
  4. 4. Introduction Supply chain dynamics and optimization <ul><li>Integrated Manufacturing Systems 11/5 [2000] 348-364 </li></ul><ul><li>Robert de Souza, Song Zice, Liu Chaoyang </li></ul><ul><li>Nanyang Technological University Singapore </li></ul><ul><li>Contents </li></ul><ul><ul><li>Simulation model </li></ul></ul><ul><ul><li>Performance indicator : </li></ul></ul><ul><ul><ul><li>Echelon cost, total cost, dynamics of inventory, dynamics of order </li></ul></ul></ul><ul><ul><li>Analysis of the supply chain dynamics </li></ul></ul><ul><ul><li>Coordination in supply chain management </li></ul></ul><ul><ul><li>Decentralized coordination model </li></ul></ul>
  5. 5. Introduction Bullwhip Effect <ul><ul><li>Dynamics of order </li></ul></ul><ul><ul><li>Dynamics of inventory </li></ul></ul><ul><ul><li>Reorder </li></ul></ul><ul><ul><li>Capacity constraint </li></ul></ul><ul><ul><li>Information delay </li></ul></ul><ul><ul><li>Material delay </li></ul></ul><ul><ul><li>Poor coordination </li></ul></ul><ul><ul><li>Forecast </li></ul></ul><ul><ul><li>Batching </li></ul></ul>
  6. 6. Leagility: Integrating the lean and agile manufacturing paradigms in the total supply chain Int. J. Production Economics 62 (1999) 107-118 J. Ben Naylor a,* , Mohamed M Naim a , Danny Berry b 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. 7. Paradigm definitions <ul><li>Agility </li></ul><ul><ul><li>Agility means using market knowledge and a virtual corporation to exploit profitable opportunities in a volatile market. </li></ul></ul><ul><li>Leanness </li></ul><ul><ul><li>Leanness means developing a value stream to eliminate all waste, including time, and to ensure a level schedule. </li></ul></ul><ul><li>Decoupling point </li></ul><ul><ul><li>Decoupling point separates the part of the organization oriented towards customer orders from the part of the organization based on planning </li></ul></ul><ul><ul><li>Buffer stock, stock holding point </li></ul></ul><ul><ul><li>It depends on longest lead time an end-user is prepared to tolerate and the point at which variability in product demand dominates. </li></ul></ul>
  8. 8. Characteristics of paradigms <ul><li>Use of market knowledge </li></ul><ul><ul><li>All business in any supply chain must focus on the end-user. </li></ul></ul><ul><li>Integrated supply chain </li></ul><ul><ul><li>The coal of an integrated supply chin is to remove all boundaries to ease the flow of material, cash, resources and information </li></ul></ul><ul><li>Lead time compression </li></ul><ul><ul><li>“ muda” </li></ul></ul>Eliminate Information Delay
  9. 9. Positioning of decoupling point Lean Manufacturing Smooth Demand/ Level Scheduling Agile Manufacturing Robustness/ Satisfying a Fluctuating Demand Forecasting  Kanban Decoupling Point & Postponement I I T V A
  10. 10. PC Supply chain case Assemble to Order
  11. 11. Total cycle time compression and the agile supply chain Int. J. Production Economics 62 (1999) 61-73 Rachel Mason-Jones, Denis R. Towill LSDG, MASTS Cardiff University
  12. 12. Paradigm definitions <ul><li>TCT(Total Cycle Time) Compression </li></ul><ul><ul><li>Definition </li></ul></ul><ul><ul><ul><li>The elapsed time between customer enquiry and customer need being met. (Philip Thomas) </li></ul></ul></ul><ul><ul><ul><li>TBM(Time Based Management. BCG) </li></ul></ul></ul><ul><ul><li>Reducing TCT </li></ul></ul><ul><ul><ul><li>Slashing material flow lead time </li></ul></ul></ul><ul><ul><ul><li>Slashing information flow lead time </li></ul></ul></ul><ul><ul><li>Pursuit of the Zeros </li></ul></ul><ul><ul><ul><li>Zero Waste + Time, materials, labor, capacity, computing power, management effort, total cycle time , information flow </li></ul></ul></ul><ul><ul><li>BSE(Business Systems Engineering. Watson) </li></ul></ul><ul><ul><ul><li>Understand  Document  Simplify  Optimize </li></ul></ul></ul>
  13. 13. <ul><li>“Information enriched” supply chain </li></ul>Paradigm definitions Electronic Point of Sales Link “ Information is power”
  14. 14. References <ul><li>Quantitative models for supply chain management, edited by Sridhar Tayur, Ram Ganeshan and Michael Magazine., Kluwer Academic Publishers, 1999 </li></ul><ul><li>Robert de Souza et al. Supply chain dynamics and optimization. Integrated Manufacturing Systems 2000:11/5:348-364 </li></ul><ul><li>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 </li></ul><ul><li>Rachel Mason-Jones, Denis R. Towill. Total cycle time compression and the agile supply chain. Int. J. Production Economics 62 (1999) 61-73 </li></ul>

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