Extended material requirement planning (MRP) within a hybrid energy-enabled smart production system

IF 10.4 1区 计算机科学 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Rekha Guchhait , Mitali Sarkar , Biswajit Sarkar , Liu Yang , Ali AlArjani , Buddhadev Mandal
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引用次数: 0

Abstract

A smart production system can be made energy-efficient using renewable energy and is considered to maintain the extended material requirement planning under a logistics system by using radio frequency identification. The tracking technology provides information about products with real-time notification. This study investigates renewable energy usage within a smart production system as renewable energy can contribute to Net Zero Emissions. The logistics framework involves an autonomation technology-based production system, optimum cash flow, logistics, and carbon emissions. Time is an essential influencer for material requirement planning. The model is solved with a Laplace integral transformation, where an associated matrix method is utilized by the input–output analysis. The theoretical concept is elaborated through an illustrative numerical example, where the energy consumption and corresponding net present values are evaluated. Numerical and graphical studies prove the effectiveness of the model for the use of renewable energy within for material planning under a reverse logistics system. The result reveals that efficient renewable energy consumption can save considerable costs and reduce the negative net present value of the system. It is found that skilled workers are worthy of a smart production system, not only in a qualitative aspect but also in an economic aspect.
混合能源智能生产系统中的扩展物料需求计划(MRP)
智能生产系统可利用可再生能源实现高能效,并通过使用射频识别技术来维持物流系统下的扩展物料需求计划。跟踪技术可提供有关产品的实时通知信息。本研究调查了智能生产系统中可再生能源的使用情况,因为可再生能源有助于实现净零排放。物流框架包括基于自主技术的生产系统、最佳现金流、物流和碳排放。时间是物料需求规划的重要影响因素。该模型通过拉普拉斯积分变换求解,投入产出分析采用了相关的矩阵方法。通过一个数值示例对理论概念进行了阐述,并对能源消耗和相应的净现值进行了评估。数值和图形研究证明了该模型在逆向物流系统的材料规划中使用可再生能源的有效性。结果表明,有效的可再生能源消耗可以节省大量成本,并降低系统的负净现值。研究发现,熟练工人不仅在质量方面,而且在经济方面都值得采用智能生产系统。
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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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