Heuristic Approach for Warehouse Resources and Production Planning Optimization: An Industry Case Study

Roberto Rosetti, M. Sturari, E. Frontoni, J. Loncarski, A. Cicchitti, Enrico Iavazzo, D. Gualtieri
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Abstract

Industrial sector for production of manufacturing machinery and equipment is a very competitive and difficult market to deal with. Difficulties increase in areas that involves the design, manufacturing and assembly of large production machines. In fact, in this case the effort to produce a single item is much bigger in time, money and resources with respect to other areas. Long time for production paired with a not accurate usage of internal resources can produce a large number of unused components and semi-finished products. This paper presents a real case study of a company leader in the designing and manufacturing machinery for disposable hygienic products and highly automated liquid filling integrated systems. Each product is a huge assembly of components and semi-finished products and many of them are not used for production even if they are stored in company’s warehouses. This is due to the logistic and human factors that can be managed and corrected. In this paper a math-heuristic approach for warehouse resources and components procurement optimization is presented. A real instance related to a commission has been solved and results are presented and analyzed.
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仓库资源和生产计划优化的启发式方法:一个行业案例研究
工业部门生产制造机械设备是一个竞争非常激烈的市场,很难应对。在涉及大型生产机器的设计、制造和组装的领域,困难增加了。事实上,在这种情况下,与其他领域相比,制作一件物品的时间、金钱和资源要大得多。生产时间长,加上内部资源利用不准确,会产生大量未使用的零部件和半成品。本文介绍了一家在一次性卫生用品和高度自动化液体灌装集成系统的设计和制造机械方面处于领先地位的公司的真实案例研究。每个产品都是一个巨大的组件和半成品的组装,其中许多产品即使存放在公司的仓库中也不会用于生产。这是由于可以管理和纠正的物流和人为因素。本文提出了一种仓库资源和零部件采购优化的数学启发式方法。通过实例分析,给出了求解结果。
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