“拉动式”管理的单机多产品生产系统中的经济生产数量模型

IF 4.4 3区 管理学 Q1 OPERATIONS RESEARCH & MANAGEMENT SCIENCE
Rossella Pozzi, Tommaso Rossi, Matteo Salani
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引用次数: 0

摘要

几十年来,研究人员一直面临着如何使经济生产量(EPQ)适用于以单一(共享)资源和有限产能为特征的多项目生产环境的问题。经济批量调度问题 (ELSP) 解决了这一问题,至今仍受到研究人员的关注。Rossi 等人最近的尝试(Omega 71:106-113, 2017)在避免调度的同时解决了这一问题。尽管这些方法具有相关性,但在将 EPQ 模型应用于多产品 "拉动式 "生产系统方面存在局限性。本研究试图通过基于 Mallya(1992 年)提出的方程和限制项目生产频率的方法来克服这些局限性,从而在避免排产的同时确定可行的解决方案。通过对著名的基准实例(Bomberger's、Eilon's 和 Mallya's 问题)和大量测试问题的应用,对所提模型的可行性和性能进行了评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Economic production quantity (EPQ) model in ‘pull’ managed single-machine multi-item production systems

For decades researchers have been facing the issue of adapting the economic production quantity (EPQ) to the case of multi-item production contexts characterised by a single (shared) resource with finite capacity. The economic lot scheduling problem (ELSP), which is still of interest to researchers, has addressed this issue. A recent attempt by Rossi et al. (Omega 71:106–113, 2017) addressed the problem while avoiding scheduling. Notwithstanding their relevance, these approaches present limitations in adapting the EPQ model to multi-product ‘pull’ production systems. The present work attempts to overcome these limitations through the development of a methodology based on the equation proposed by Mallya (1992) and restricting items production frequencies to define feasible solutions while avoiding scheduling. The feasibility and performance of the proposed model are evaluated through its application to well-known benchmarking instances (Bomberger’s, Eilon’s and Mallya’s problems) and a large set of test problems.

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来源期刊
Annals of Operations Research
Annals of Operations Research 管理科学-运筹学与管理科学
CiteScore
7.90
自引率
16.70%
发文量
596
审稿时长
8.4 months
期刊介绍: The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications. In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.
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