文章基本信息

标题：An integrated approach for supply-production planning in a supply chain
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作者：Mohammad Sabet Motlagh ; Masoud Rezaei ; Mahdi Abedini Naeeni 等
期刊名称：Management Science Letters
印刷版ISSN：1923-9335
电子版ISSN：1923-9343
出版年度：2013
卷号：3
期号：6
页码：1599-1610
DOI：10.5267/j.msl.2013.05.029
出版社：Growing Science
摘要：Many firms try to optimize their supply and production levels separately, but this method could limit influence profitability, negatively. Thus, it is becoming more important to analyze these two levels, simultaneously. In this paper, an integrated supply-production planning is considered, simultaneously. We develop a mathematical model, which calculates the optimal inventory lot sizing for each supplier and minimizes the total cost associated with the process of procuring raw material, transferring and holding raw materials and manufacturing. The problem is formulated as a nonlinear programming and heuristic genetic algorithm (GA) method is developed to solve the resulted problem. We examine the performance of the proposed model for a case study conducted in Iran. Experimental results show that such a model can reduce the costs of the case study, substantially.
关键词：Sourcing; Inventory management; Nonlinear Programming; Genetic Algorithm