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A dynamic multi-plant lot-sizing and distribution problem
Authors:Maryam Darvish  Homero Larrain  Leandro C Coelho
Affiliation:1. CIRRELT and Faculté des sciences de l’administration, Université Laval, Canada.;2. Department of Transport Engineering and Logistic, Pontificia Universidad Católica de Chile, Chile.
Abstract:In this paper, we investigate a multi-plant, production planning and distribution problem for the simultaneous optimisation of production, inventory control, demand allocation and distribution decisions. The objective of this rich problem is to satisfy the dynamic demand of customers while minimising the total cost of production, inventory and distribution. By solving the problem, we determine when the production needs to occur, how much has to be produced in each of the plants, how much has to be stored in each of the warehouses and how much needs to be delivered to each customer in each period. On a large real data-set inspired by a case obtained from an industrial partner, we show that the proposed integration is highly effective. Moreover, we study several trade-offs in a detailed sensitivity analysis. Our analyses indicate that the proposed scenarios give the company competitive advantage in terms of reduced total logistics cost, and also highlight more possibilities that become available taking advantage of an integrated approach towards logistics planning. These abundant opportunities are to be synergised and exploited in an interconnected open global logistics system.
Keywords:physical internet  dynamic lot-sizing  integrated supply chain planning  production  inventory  distribution  optimization
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