需求不确定的生产计划可能性模型

IF 1.9 4区工程技术 Q3 ENGINEERING, INDUSTRIAL

European Journal of Industrial Engineering Pub Date : 2020-01-01 DOI:10.1504/EJIE.2020.112480

Maria Laura Cunico, A. Vecchietti

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引用次数: 3

摘要

本文利用需求不确定性的模糊表示，提出了制造企业生产计划问题的可能性模型。利用模糊环境下机会约束的扩展和三角数来表示客户订单的可变性。本文给出了将模糊模型转换为等效鲁棒清晰模型(RCM)所需的算子。此外，将机会约束的置信水平设置为变量，使其由模型决定，减少了选择其值的主观性。以生产计划问题为例，说明了该模型的有效性。所得结果与两种不同的替代模型进行了比较:确定性模型(DM)和模糊方法(FeM)。[收到2018年5月20日;2019年5月29日修订;2019年12月6日修订;接受2020年1月6日]

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A possibilistic model for production planning with uncertain demand

This article proposes a possibilistic model of production planning problem of a manufacturing company using a fuzzy representation of uncertainties in demand. An extension of chance constrained to fuzzy environments, and triangular numbers are employed to represent the variability in customers' orders. The operators required to convert the fuzzy model into an equivalent robust crisp one (RCM) are presented in the article. Moreover, the confidence levels of chance constraints are set as variables so that they are determined by the model, reducing the subjectivity in the selection of their values. The production planning problem is solved as a case study, to show the performance of the model. The results obtained are compared to two different alternative models: a deterministic one (DM) and a fuzzy approach (FeM). [Received 20 May 2018; Revised 29 May 2019; Revised 6 December 2019; Accepted 6 January 2020]

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来源期刊

European Journal of Industrial Engineering 工程技术-工程：工业

CiteScore

2.60

自引率

20.00%

发文量

审稿时长

6 months

期刊介绍： EJIE is an international journal aimed at disseminating the latest developments in all areas of industrial engineering, including information and service industries, ergonomics and safety, quality management as well as business and strategy, and at bridging the gap between theory and practice.