Optimal Production-Distribution Planning in Supply Chain

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Proceedings of the 2000 Winter Simulation Conference J. A. Joines, R. R. Barton, K. Kang, and P. A. Fishwick, eds. OPTIMAL PRODUCTION-DISTRIBUTION PLANNING IN SUPPLY CHAIN MANAGEMENT USING A HYBRID SIMULATION-ANALYTIC APPROACH Young Hae Lee Sook Han Kim Department of Industrial Engineering Hanyang University Ansan, Kyunggi-do, 425-791, SOUTH KOREA ABSTRACT Production-distribution planning is the most important activity in supply chain management (SCM). To solve this planning problem, either analytic or simulation approaches have been used. However these two approaches have their own demerits in problem solving. In this paper, we propose a hybrid approach which is a specific problem solving procedure combining analytic and simulation methods to solve production-distribution problems in supply chains. The machine capacity and distribution capacity constraints in the analytic model are considered as stochastic factors and are adjusted by the proposed specific process according to the results from an independently developed simulation model which includes general production-distribution characteristics. 1 INTRODUCTION However, most of realistic problems are not simple to apply these analytic ways only. Simulation is preferred when an analytic solution can not give proper values for performance evaluations. Therefore, the hybrid procedure integrating analytic and simulation model for solving production-distribution planning problem is a useful idea. The objective of this paper is to develop an integrated multi period, multi product, multi shop production and distribution model in supply chain to satisfy the retailer’s demand while keeping inventories as low as possible. We formulated the problem as an analytic model which minimizes the sum of production cost, distribution cost, inventory holding and deficit costs, subject to capacity and inventory balance
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