Two non-linear programming models for the multi-stage multi-cycle smart production system with autonomation and remanufacturing in same and different cycles to reduce wastes

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Biswajit Sarkar , Andreas Se Ho Kugele , Mitali Sarkar
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引用次数: 0

Abstract

Multi-stage production systems produce a severe amount of defective items as a result of an irregular quota of defectiveness. It is very important to remanufacture those imperfect pieces that are wasted and try to keep the model as reality close as possible. Two different models are developed in this study: a smart production system with numerous stages and with only one cycle and a smart production system with numerous stages and numerous cycles. The essential objective of this study is to scale down the overall waste and lower the final total cost in both models at the same time by optimizing the planned batch size, investments in each stage, and the production rate based on the demand. The remanufacturing of the defective products occurs in two ways. While the remanufacturing process in the smart multi-stage production system with a single cycle occurs within the cycle, the reworking in the case of a smart multi-stage production system with numerous cycles occurs in different cycles. Numerical examples are conducted and compared to illustrate the model quantitatively. It is found that in both scenarios of both models, the total cost is minimized.
以减少浪费为目的的多阶段多周期自主再制造智能生产系统的两个非线性规划模型
多阶段生产系统由于不合格配额不规范而产生大量不合格产品。重新制作那些被浪费的不完美的部分,并尽可能地保持模型与现实的接近,这是非常重要的。本研究提出了两种不同的模型:一种是多阶段、只有一个周期的智能生产系统,另一种是多阶段、多周期的智能生产系统。本研究的基本目标是通过优化计划的批量大小、每个阶段的投资和基于需求的生产率,同时降低两种模型的总体浪费和最终总成本。缺陷产品的再制造有两种方式。单周期智能多阶段生产系统的再制造过程发生在周期内,多周期智能多阶段生产系统的再制造过程发生在不同的周期内。通过数值算例的比较,对模型进行了定量说明。结果表明,在两种模型的两种情况下,总成本都是最小的。
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来源期刊
Journal of Industrial Information Integration
Journal of Industrial Information Integration Decision Sciences-Information Systems and Management
CiteScore
22.30
自引率
13.40%
发文量
100
期刊介绍: The Journal of Industrial Information Integration focuses on the industry's transition towards industrial integration and informatization, covering not only hardware and software but also information integration. It serves as a platform for promoting advances in industrial information integration, addressing challenges, issues, and solutions in an interdisciplinary forum for researchers, practitioners, and policy makers. The Journal of Industrial Information Integration welcomes papers on foundational, technical, and practical aspects of industrial information integration, emphasizing the complex and cross-disciplinary topics that arise in industrial integration. Techniques from mathematical science, computer science, computer engineering, electrical and electronic engineering, manufacturing engineering, and engineering management are crucial in this context.
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