20010202_kbs.ppt
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Supply Chain Management- Lean and Agile Manufacturing- Collaborative Commerce
Seoul National UniversityManufacturing Automation & Integration Lab.
2001.2.2 Bumsoo Kim
2001/2/2 Manufacturing Automation & Integration Lab 2/14
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
2001/2/2 Manufacturing Automation & Integration Lab 3/14
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
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
2001/2/2 Manufacturing Automation & Integration Lab 7/14
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
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