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MARIUS M. SOLOMON CRT, University of Montreal March, 2000 Logistics Evolution Local Regional National Global Progression of Competitive Advantage ‘80s Increased Variety Qualit ‘80s y Fast Response Time Focused Production ‘70s ‘50s ‘90s E-Business Scale Facilities Low Wage Rates Cost Based Management ‘60s Time Based Management Source: Adapted from Stalk and Hout, Competing Against Time, 1991 Technology Enabled Management 2000 Competitive Advantage Strategic Vision Planning Global Competitors Global Markets World-Class Manufacturing Quality People Speed Technology Management Resources Customers Integration TQC JIT CIM/CIL Source: Adapted from Gunn, Manufacturing for Competitve Advantage, Ballinger, 1987 Recent Evolution Fragmentation 1960s Demand Forecasting Purchasing Requirements Planning Production Planning Manufacturing Inventory Evolving Integration 1980s Materials Management Warehousing Materials Handling Industrial Packaging Inventory Physical Distribution Distribution Planning Order Processing Transportation Customer Service Source: Adapted from Coyle, Bardi, and Langley, The Management of Business Logistics, West 1992 Total Integration 2000s Supply Chain Logistics Integration Warehousing Distribution Planning Order Processing Transportation Inventory Materials Handling Information Technology Industrial Packaging Demand Forecasting Production Requirements Planning Planning Customer Service Purchasing Manufacturing Inventory The physical, financial, and information networks that move the materials, funds, and related information through the full logistics process ... from acquisition of raw materials to delivery of finished products to the end user. The Supply Chain Plan Implement Control Raw Materials Production Material Flow and Storage Storage Information Flow and Storage Customer Nodes and Links in a Logistics System Node Node Link Retailer Warehouse Node Link Node Link Plant Link Link Warehouse Node Retailer Typical Supply Chain Network Suppliers Plants Distribution Centers Customers Hierarchy of Logistics Management Decisions STRATEGIC Location Choice Transport Mode Selection Vendor Choice TACTICAL Throughput levels Employment levels Distribution routes Uncertainty Time frame Scope OPERATIONAL Vehicle scheduling Order tracking Inventory replenishment Logistics Environments External -Macro Value-added Role Time Utility Place Utility Economic Impacts Economic Importance Intrafirm-Micro Competitive Advantage Value Chain Logistics Interfaces with Value Activities Interfirm Distribution Channels Channel Structure Relationships Source: Adapted from Coyle, Bardi, and Langley, The Management of Business Logistics, West , 1992. Fundamental Utility Creation in the Economy Production Form Utility Logistics Place Utility Marketing Possession Utility Time Utility Source: Adapted from Coyle, Bardi, and Langley, The Management of Business Logistics, West, 1992. The Generic Value Chain Cost leadership Differentiation Focus Firm Infrastructure Support Activities Human Resource Management Technology Development Procurement Inbound Operations Logistics Outbound Logistics Marketing Service and Sales Primary Activities Source: Michael E. Porter, Competitive Advantage, Free Press, 1985. Conflicting Objectives Objectives High revenues through: Sales and Marketing High levels of product availability Cost-effective production through: Production High, capacity utilization Long production runs Few set-ups Finance and accounting Reduce investments and costs through: Fewer facilities Lower inventory levels Implications L o g i s t i c s Source: Magee, Copacino, Rosenfield, Modern Logistics Management, Wiley, 1985. Higher Lower More Fewer Customer Service Disrupting factors in production Higher Inventories Lower Product Price Promotion Logistics Place / Customer Service Levels Inventory carrying costs Lot quantity cost Transportation costs Order processing and information costs Warehousing costs (throughput cost not storage) Total Cost =Transportation costs + Inventory carrying costs +... Source: Lambert and Stock, Strategic Logistics Management, Irwin, 1993. Marketing Cost Trade-offs in Logistics Distribution Channels Manufacturers and Industrial Users Retailers Inventory Repositioning Farm and Raw Materials Consumers and Government Wholesalers Distribution Channel -- Loose Links, Independent Businesses Inventory management by each channel participant Manufacturer Company Truck Manufacturer Distributor Common Carrier Retailer Local Delivery Source: Adapted from Bowersox and Closs, Logistical Management McGraw-Hill, 1996. The Supply Chain Apparel Pipeline Raw Materials Textile Production Apparel Retail Customers Pipeline inventory management Information sharing Joint planning Organization of ProductionDistribution System 6 Inventory Factory 1 1 Factory Warehouse 2 0.5 Weeks Inventory 2 1 Distributors 1 0.5 Inventory 3 Retailers Orders From Customers Forrester, J.W. (1958) Industrial Dynamics: A Major Breakthrough for Decision Makers. Harvard Business Review. 1 Delivery of Goods To Customers The Apparel Pipeline Raw Material Textile Production Apparel Retail Customer Average Time: 66 Weeks Information sharing Joint planning Source: Blackburn, Time Based Competition, 1991 Pipeline inventory management FORECAST ERROR (%) Effect of Lead Time on Retailer’s Stocking Decision +40 +20 0 +/-40% +/-20% +/-10% -20 -40 -26 Weeks Source: Blackburn, Time Based Competition, 1991 -16 Weeks Start of Season TIME Two-Way Flows in Apparel Chain Product Textiles Apparel Orders and Capacity Commitments Source: Blackburn, Time Based Competition, 1991 Inventory and Order Information Retail Point of Sale Sales Information Keys to Fast-Cycle Logistics Cultural Change From Top Down Information Technology Partnerships Shorter Manufacturing Cycles Information Sharing Fast Cycle Logistics Source: Blackburn, Time Based Competition, 1991 OR Contributions Economics Game theory Information Management Inventory Models Inventory Control and Vehicle Routing Distribution Requirements Planning Enterprise Resource Planning Multiobjective Decision Support Systems Economics Capacity Choice and Allocation: Strategic Behavior and Supply Chain Performance, G. Cachon and M. Lariviere, Management Science/Vol. 45, No. 8, August 1999 Truth telling provides some advantages to the supply chain that should be weighed against the costs of inducing it Competitive and Cooperative Inventory Policies in a TwoStage Supply Chain, G. Cachon and P. Zipkin, Management Science/Vol. 45, No. 7, July 1999 Competition generally lowers supply chain inventory relative to the optimal solution Economics The Role of Returns Policies in Pricing and Inventory Decisions for Catalogue Goods Authors: H. Emmons and S. Gilbert, Management Science /Vol. 44, No. 2, February 1998 Relationship of such policies return policies on both retailer’s and manufacturer’s profits Capacity Allocation Using Past Sales: When to Turn-and-Earn G. Cachon and M Lariviere, Management Science/Vol. 45, No. 5, May 1999 Turn-and-earn allocation does not generally coordinate the system, and in certain cases is a means for the supplier to increase profits at the expense of retailers Economics Centralization of Stocks: Retailers vs. Manufacturer, R. Anupindi and Y. Bassok, Management Science/Vol. 45, No. 2, February 1999 Shows that centralizing stocks by retailers increases profits for the manufacturer up to a certain level of “market search” in the supply chain Value of Information in Capacitated Supply Chains, S. Gavirneni, et al., Management Science/Vol. 45, No. 1, January 1999 Examine benefits of partial vs complete information sharing in a supplier-retailer setting Economics The Quantity Flexibility Contract and Supplier-Customer Incentives, A. Tsay, Management Science/Vol. 45, No. 10, October 1999 Quantity Flexibility (QF) contract and its implications for the behavior and performance of suppliers and customers Quantity Flexibility Contracts and Supply Chain Performance, A. Tsay and W. Lovejoy, Manufacturing & Service Operations Management Vol 1, No 2, 1999 Analysis extended to multiple time periods Economics Coordinating Investment, Production, and Subcontracting, J. Van Mieghem, Management Science/Vol. 45, No. 7, July 1999 Analysis of the role of transfer prices and of the bargaining power of buyer and supplier Decentralized Multi-Echelon Supply Chains: Incentives and Information : H. Lee and S. Whang, Management Science/Vol. 45, No. 5, May 1999 Desirable properties of performance measurement schemes that align the incentives and interests of the multiple managers in decentralized supply chains Economics Echelon Reorder Points, Installation Reorder Points, and the Value of Centralized Demand Information, F. Chen, Management Science /Vol. 44, No. 12, Part 2 of 2, December 1998 Examine cost difference between an echelon stock and an installation stock policy. Decentralized Supply Chains Subject to Information Delays, F. Chen, Management Science/Vol. 45, No. 8, August 1999 Information lead times play the same role as the production/transportation counterparts in the determination of the optimal replenishment strategies, but they are less costly Inventory Models Managing Supply Chain Demand Variability with Scheduled Ordering Policies, G. Cachon, Management Science/Vol. 45, No. 6, June 1999 Identify two strategies that reduce the supplier’s demand variance and also reduce total supply chain costs The Stabilizing Effect of Inventory in Supply Chains, M. Baganha and M. Cohen, Operations Research Vol. 46, Supp. No. 3, May–June 1998 Model helps to explain the “bullwhip” effect and indicates mechanisms that can promote stabilization Inventory Models A Single-Item Inventory Model for a Nonstationary Demand Process, S. Graves, Manufacturing & Service Operations Management Vol. 1, No. 1, 1999 Demand process for the upstream stage is more variable than that for the downstream stage Probabilistic Analyses and Algorithms for Three-Level Distribution Systems Wal-Mart’s cross-docking strategy Integrate inventory control and vehicle routing for a distribution system consisting of a single vendor, a fixed number of warehouses, and many retailers Warehouses receive fully loaded trucks from the vendor but never hold inventory Warehouses serve only to coordinate the frequency, time and sizes of deliveries to retailers Source: L. Chen and D. Simchi-Levi, MANAGEMENT SCIENCE/Vol. 44, No. 11, Part 1 of 2, November 1998 Distribution Requirements Planning A Dynamic Model For Requirements Planning With Application To Supply Chain Optimization, S. Graves, et al., Operations Research Vol. 46, Supp. No. 3, May–June 1998 Use a model for a single production stage as a building block for modeling a network of stages Apply the DRP model to strategic inventory placement in the film manufacturing processes at Kodak Extended-Enterprise Supply-Chain Management at IBM Personal Systems Group and Other Divisions Source: G. Lin et al., ITERFACES 30: 1 January–February 2000 (pp. 7–25) Cooperative Multiobjective Decision Support for the Paper Industry The A-team architecture Source: S. Murthyet al., I TERFACES 29: 5 September–October 1999 (pp. 5– Unifi: Begin at Home - ERP Keys to competing: Automation and process control systems Message to supply chain: Cooperate as if vertically integrated Companywide program of linkages among processes and machines Exchanging production and quality information with suppliers over the Internet Daily WIP information to make-to-order customers Computer to computer exchanges Allow partners to come in, rather than pushing data out Spin off as Manufacturing-Systems Consultant Source: How a Tighter Supply Chain Extends the Enterprise, Fortune, November 8, 1999. Mercury Marine: Dealer focus Vertically integrated Supplier consigns truckload loads to factory and gets paid as used MercNet - Private electronic network for parts ordering moved to the Internet Share forecasts and collaborate with dealers on promotions Resistance from sales on electronic ordering Source: How a Tighter Supply Chain Extends the Enterprise, Fortune, November 8, 1999. Rocketdyne: Suppliers Beyond the Firewall Brought engineering, manufacturing and suppliers together from the start Alleviated job-shop problems with Manufacturing Execution System (MES) Computer connections to work areas Linked with MRP and Product Data Management Included suppliers via the Internet Dedicated server, control on depth of system access Source: How a Tighter Supply Chain Extends the Enterprise, Fortune, November 8, 1999. Adaptec: Value Added Cycle Time 100 day cycle time Manually entered information Different computer systems Treat suppliers as partners Incompatible systems: SAP vs homemade ERP Extricity Internet Software Fast orders, drawings, confirmations Cycle time dropped to 55 day WIP shrank from $18 M to $9 M If customers would share forecasts, Adaptec could deliver directly rather than from the current 22 FG warehouses Source: How a Tighter Supply Chain Extends the Enterprise, Fortune, November 8, 1999. Nimbus: Streamlined Supply Chain by Merging Most studios outsource production, distribution, and packaging of VHS tapes and DVDs Technicolor - largest converter of movies to VHS People, systems, and facilities capability to handle distribution Nimbus’ sales rose to $89 M in first six months of 1999 Consolidation of production facilities and other supply chain moves - $10.2 M savings for the first half of 1999 Conclusions Integration and coordination Production and Distribution Routing and Location Routing and Inventory Dynamic Problems Real Time Conclusions Increase in fast-cycle logistics for companies of all size Doing business faster, and especially smarter replacing inventory with information With real-time information companies can manage inventory in motion, rather than at rest Supply chains are increasingly moving online Can dramatically reduce overhead and obsolescence while speeding time to market Source: Fedex Corporation, 1999 Annual Report