Requirements Planning with Substitutions: Exploiting Bill-of-Materials Flexibility in Production Planning

Designing product lines with substitutable components and subassemblies permits companies to offer a broader variety of products while continuing to exploit economies of scale in production and inventory costs. Past research on models incorporating component substitutions focuses on the benefits from reduced safety-stock requirements. This paper addresses a dynamic requirements-planning problem for two-stage multi product manufacturing systems with bill-of-materials flexibility, i.e., with options to use substitute components or subassemblies produced by an upstream stage to meet demand in each period at the downstream stage. We model the problem as an integer program, and describe a dynamic-programming solution method to find the production and substitution quantities that satisfy given multi period downstream demands at minimum total setup, production, conversion, and holding cost. This methodology can serve as a module in requirements-planning systems to plan opportunistic component substitutions based on relative future demands and production costs. Computational results using real data from an aluminum-tube manufacturer show that substitution can save, on average, 8.7% of manufacturing cost. We also apply the model to random problems with a simple product structure to develop insights regarding substitution behavior and impacts.

[1]  Christopher S. Tang,et al.  Models Arising from a Flexible Manufacturing Machine, Part I: Minimization of the Number of Tool Switches , 1988, Oper. Res..

[2]  Gabriel R. Bitran,et al.  Co-Production Processes with Random Yields in the Semiconductor Industry , 1994, Oper. Res..

[3]  George L. Nemhauser,et al.  The uncapacitated facility location problem , 1990 .

[4]  M. Magazine,et al.  Component Commonality with Service Level Requirements , 1988 .

[5]  Narendra Agrawal,et al.  Management of Multi-Item Retail Inventory Systems with Demand Substitution , 2000, Oper. Res..

[6]  John M. Richardson Target seeking in the presence of nonstationary Gaussian fluctuations , 1978, Inf. Sci..

[7]  Ram Akella,et al.  Multiproduct Inventory Models with Substitution , 1992 .

[8]  Karl T. Ulrich,et al.  A Framework for Including the Value of Time in Design-for-manufacturing Decision Making , 1993 .

[9]  K. R. Baker,et al.  The Effect of Commonality on Safety Stock in a Simple Inventory Model , 1986 .

[10]  Lawrence M. Wein,et al.  Dynamic scheduling of a production/inventory system with by-products and random yield , 1995 .

[11]  Bezalel Gavish,et al.  Optimal Lot-Sizing Algorithms for Complex Product Structures , 1986, Oper. Res..

[12]  E. Ignall,et al.  Optimality of Myopic Inventory Policies for Several Substitute Products , 1969 .

[13]  Gabriel R. Bitran,et al.  Ordering Policies in an environment of Stochastic Yields and Substitutable Demands , 1992, Oper. Res..

[14]  E. Silver,et al.  Some Concepts For Inventory Control Under Substitutable Demand , 1978 .

[15]  Stuart Brown,et al.  Process Planning for Aluminum Tubes: An Engineering-Operations Perspective , 1996, Oper. Res..

[16]  Stephen F. Love A Facilities in Series Inventory Model with Nested Schedules , 1972 .

[17]  U. Pape,et al.  Algorithm 562: Shortest Path Lengths [H] , 1980, TOMS.

[18]  U. Karmarkar,et al.  Computationally Efficient Optimal Solutions to the Lot-Sizing Problem in Multistage Assembly Systems , 1984 .

[19]  Ravindra K. Ahuja,et al.  Network Flows: Theory, Algorithms, and Applications , 1993 .

[20]  Christopher S. Tang,et al.  Models Arising from a Flexible Manufacturing Machine, Part II: Minimization of the Number of Switching Instants , 1988, Oper. Res..

[21]  Thomas L. Magnanti,et al.  Network Design and Transportation Planning: Models and Algorithms , 1984, Transp. Sci..

[22]  William C. Jordan,et al.  Principles on the benefits of manufacturing process flexibility , 1995 .

[23]  S. Kotha Mass Customization: The New Frontier in Business Competition , 1992 .

[24]  Charles H. Fine,et al.  Optimal investment in product-flexible manufacturing capacity , 1990 .