基于模糊逻辑决策的车间控制技术的高效运营管理策略

R. Muruganandham, J. Dinesh, A. Basha, Venkatesh Kannan
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引用次数: 0

摘要

在任何组织中,车间控制似乎是一项至关重要的关键活动,有效的车间控制为百分百生产铺平了道路。有效的资源利用、正确的生产计划和成功的维护将为高生产率铺平道路,从而实现对客户交付时间表的承诺。因此,可以理解的是,持续和一致的车间管理需要一个认真的重点,有助于健全的业务管理。在最近十年中,在制定新的方法和采用新的先进技术来控制组织的车间活动方面发生了更多的发展。本文的目的是利用模糊逻辑决策技术提出一个新的车间控制模型,以帮助操作专业人员在车间控制中成功地进行专业决策。多准则决策(MCDM)技术在运营管理中有着广泛的应用。本文成功地尝试了模糊逻辑决策技术的应用,这是众多MCDM工具中的一种。该技术考虑了许多因素,如生产、浪费、故障或闲置时间等,这些因素被视为标准,在使用该工具后,使用模糊逻辑进行数学操作后生成的管理信息系统(MIS)报告似乎对企业决策非常有用。
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An Efficient Operations Management Strategy Using Fuzzy Logic Decision Making Based Shop Floor Control Technique
In any organization, shop floor control seems to be a vital and pivotal activity and effective shop floor control paves the way for cent percent production. Effective utilization of resources, proper production planning, and successful maintenance would always pave the way for high productivity which in turn fulfills the commitment to meet out the delivery schedule for customers. Hence it is understood that continuous and consistent shop floor management demands a serious focus that contributes to sound operations management. More developments have taken place in the recent decade in framing new methodologies and adopting new advanced techniques to control the shop floor activities of an organization. The purposes of our paper is to bring out a new model for shop floor control using the Fuzzy Logic Decision Taking technique to help the operations professionals to enable them for successful professional decision making in shop floor control. Multi-Criteria Decision Making (MCDM) Techniques have witnessed tremendous application in operations management. Our paper has successfully attempted to apply Fuzzy Logic Decision-Making Technique which is one among the various MCDM tools. The technique considers many factors like Production, Wastages, Breakdown or Idle Time etc and these factors are treated as criteria and upon using the tool, the Management Information System(MIS) reports generated after mathematical manipulation using Fuzzy Logic seems to be much useful for corporate decision making.
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