Relating Demand Behavior and Production Policies in the Manufacturing Supply Chain

Production decisions in a manufacturing supply chain are no longer driven by manual systems based on instinct and experience. They are regulated interactions between analysts, production managers and their collective manipulation of policies within the production information system. This paper studies the demand behavior in manufacturing supply chains and its relationships to the logic of production information systems pertaining to order batching, multiple schedule releases, bill of material processing, and resource leveling. The analysis helps us to understand the possible causes of demand amplification, the dependencies and mutual sensitivities of production decisions over multiple supply tiers, and the possible effects of production lot sizes, product design, and capacity levels. Main results include that multiple schedule releases may be used to stabilize supply chain operations, production batching may amplify demand variations across supply tiers, and that operating close to capacity tends to dampen demand variation downstream. Subject Categorizations: Production/Scheduling, planning: manufacturing supply chain operations Manufacturing, performance/productivity: demand behavior analysis

[1]  E. Powell Robinson,et al.  Designing an Integrated Distribution System at DowBrands, Inc , 1993 .

[2]  Willi Hock,et al.  Lecture Notes in Economics and Mathematical Systems , 1981 .

[3]  Hau L. Lee,et al.  The Evolution of Supply-Chain-Management Models and Practice at Hewlett-Packard , 1995 .

[4]  S. Goyal,et al.  Models for multi-plant coordination , 1993 .

[5]  Arthur F. Veinott,et al.  Minimum Concave-Cost Solution of Leontief Substitution Models of Multi-Facility Inventory Systems , 1969, Oper. Res..

[6]  A. F. Veinott.  Extreme points of leontief substitution systems , 1968 .

[7]  Denis Royston Towill,et al.  Supply Chain Dynamics—The Change Engineering Challenge of the Mid 1990s , 1992 .

[8]  Hau L. Lee,et al.  Material Management in Decentralized Supply Chains , 1993, Oper. Res..

[9]  Jatinder N. D. Gupta,et al.  Determining lot sizes and resource requirements: A review , 1987 .

[10]  Arthur M. Geoffrion,et al.  Twenty Years of Strategic Distribution System Design: An Evolutionary Perspective , 1995 .

[11]  James R. Evans,et al.  Blending OR/MS, Judgment, and GIS: Restructuring P&G's Supply Chain , 1997 .

[12]  Marc Goetschalckx,et al.  Strategic production-distribution models: A critical review with emphasis on global supply chain models , 1997 .

[13]  Rasaratnam Logendran,et al.  Aggregate production planning — A survey of models and methodologies , 1992 .

[14]  E. J. Anderson,et al.  Deterministic Lotsizing Models for Production Planning , 1991 .

[15]  Hau L. Lee,et al.  Effective Inventory and Service Management Through Product and Process Redesign , 1996, Oper. Res..

[16]  Clarence H. Martin,et al.  Integrated Production, Distribution, and Inventory Planning at Libbey-Owens-Ford , 1993 .

[17]  D. Sterman,et al.  Misperceptions of Feedback in a Dynamic Decision Making Experiment , 1989 .

[18]  H. Tempelmeier,et al.  A Lagrangean-based heuristic for dynamic multilevel multiitem constrained lotsizing with setup times , 1996 .

[19]  Douglas J. Thomas,et al.  Coordinated supply chain management , 1996 .

[20]  Janak Singh,et al.  The importance of information flow within the supply chain , 1996 .

[21]  Kazuyoshi Ishii,et al.  Feedback method of production ordering system in multi-stage production and inventory systems , 1987 .

[22]  A. Kimms.  Multi-Level Lot Sizing and Scheduling: Methods for Capacitated, Dynamic, and Deterministic Models , 1996 .

[23]  Jeremy F. Shapiro,et al.  Mathematical programming models and methods for production planning and scheduling , 1988 .

[24]  Luk N. Van Wassenhove,et al.  Multi-Item Single-Level Capacitated Dynamic Lot-Sizing Heuristics: A General Review , 1988 .