A model for master production scheduling in automotive powertrain plants: A case study

2015 International Conference on Industrial Engineering and Systems Management (IESM) Pub Date : 2015-10-21 DOI:10.1109/IESM.2015.7380289

Idris Lalami, Y. Frein, J. Gayon

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引用次数: 4

Abstract

Based on a case study in the automotive industry, this paper presents a mathematical model dedicated to support the master production scheduling process in powertrain plants. Powertrain plants produce engines, gearboxes, and chassis parts that supply the car assembly plants and spare parts centers. The proposed model helps to decide, every week, for each production line, on the quantities to be produced of each product over a planning horizon of several weeks. The model is a mixed integer linear program optimizing four objectives: satisfying the forecast customer demand, reaching safety stock levels, balancing stock levels between products, and leveling the production percentage of each product over the time. The model also considers the specific constraints of each production line. The contribution of this paper is to provide an overview of a production planning problem coming from a real case study, to describe the model designed according to the needs of the plant planning team, and to present the results obtained in terms of solution relevance and calculation time.

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汽车动力总成工厂主生产调度模型:一个案例研究

本文以汽车工业为例，提出了一个支持动力总成工厂主生产调度过程的数学模型。动力总成厂生产发动机、变速箱和底盘零件，这些零件供应给汽车组装厂和备件中心。所提出的模型有助于在几周的计划范围内，每周为每条生产线决定每种产品的生产数量。该模型是一个混合整数线性规划，优化四个目标:满足预测的客户需求，达到安全库存水平，平衡产品之间的库存水平，并在一段时间内平衡每种产品的生产百分比。该模型还考虑了每条生产线的具体约束条件。本文的贡献是通过一个真实的案例研究来概述一个生产计划问题，描述根据工厂计划团队的需求设计的模型，并从解决方案的相关性和计算时间方面展示所获得的结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2015 International Conference on Industrial Engineering and Systems Management (IESM)

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