Concurrent Optimization of Reliability, Maintainability and Total Cost in a Job Shop Production System with Multiple Fuzzy Parameters

IF 1.4 4区工程技术 Q2 ENGINEERING, MULTIDISCIPLINARY

Scientia Iranica Pub Date : 2023-06-18 DOI:10.24200/sci.2023.60313.6727

Ali Bonyadi Naeini, Hossein Gholizadeh

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引用次数: 0

Abstract

An integrated intelligent algorithm is proposed to optimize the reliability, maintainability, and total cost in the job shop production system. The algorithm consists of three basic modules of computer simulation. each comprising three phases of Algorithm, simulation, and Experiments/robustness validation. In the design phase, different scenarios are determined by changing parameters affecting the reliability, maintainability, and total cost. The job shop production system is simulated in the simulation phase. Then, a fuzzy simulation approach is implemented to run the simulation model for each scenario with ambiguous inputs. Accordingly, the investment cost, maintenance cost, mean time to repair (MTTR), and mean time to failure (MTTF) are obtained. Finally, the performance of different scenarios is assessed in the third module. ANN and DEA are separately used in this module and the preferred method is selected based on the robustness test and extensive sensitivity analysis. DEA and ANN are then employed to rank the design alternatives concerning the initial inputs and outputs. To show the applicability and superiority of the proposed integrated algorithm, it is applied to optimize the design of a fuzzy job shop production system consisting of five workstations.

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多模糊参数作业车间生产系统的可靠性、维修性和总成本并行优化

为优化作业车间生产系统的可靠性、可维护性和总成本，提出了一种集成智能算法。该算法由计算机仿真三个基本模块组成。每个都包括算法、仿真和实验/鲁棒性验证三个阶段。在设计阶段，通过改变影响可靠性、可维护性和总成本的参数来确定不同的场景。在仿真阶段对作业车间生产系统进行了仿真。然后，采用模糊仿真方法对具有模糊输入的各个场景运行仿真模型。由此得到了投资成本、维护成本、平均维修时间(MTTR)和平均无故障时间(MTTF)。最后，在第三个模块中对不同场景的性能进行了评估。在本模块中分别使用了ANN和DEA，并通过鲁棒性检验和广泛的敏感性分析来选择首选方法。然后采用DEA和ANN对初始输入和输出的设计方案进行排序。为了证明所提出的集成算法的适用性和优越性，将其应用于一个由5个工作站组成的模糊作业车间生产系统的优化设计。

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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来源期刊

Scientia Iranica 工程技术-工程：综合

CiteScore

2.90

自引率

7.10%

发文量

审稿时长

2 months

期刊介绍： The objectives of Scientia Iranica are two-fold. The first is to provide a forum for the presentation of original works by scientists and engineers from around the world. The second is to open an effective channel to enhance the level of communication between scientists and engineers and the exchange of state-of-the-art research and ideas. The scope of the journal is broad and multidisciplinary in technical sciences and engineering. It encompasses theoretical and experimental research. Specific areas include but not limited to chemistry, chemical engineering, civil engineering, control and computer engineering, electrical engineering, material, manufacturing and industrial management, mathematics, mechanical engineering, nuclear engineering, petroleum engineering, physics, nanotechnology.