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APPLICATION OF THE INTEGRATIVE PROCEDURE FOR MANAGEMENT OF PRODUCTION AND SERVICE IMPROVEMENT PROCESS ON THE ASSEMBLY LINE

机译:综合课程在装配线上生产和服务改进过程管理的应用

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Continual improvement of production process consists of small incremental improvements combined with breakthrough improvement steps. These improvements are usually achieved through the improvement of the organization, processes and people skills using improvement concepts like Lean management. Sometimes, usually for breakthrough improvements, significant financial investments in technology are needed. On the other hand, improving of organization, processes and people skills usually do not require significant financial investments. Therefore, for industrial enterprises, it would be the most valuable to have a procedure for the management of the continual improvement process. The procedure that identifies and focuses on the most important processes or part of processes and selects the improvement action which will have the best effect on key performance indicators (KPIs) of the production process. In this research, an integrative procedure for management of production and service improvement process is experimentally tested on the real assembly line in the Laboratory at FESB, University of Split. The focus of this paper is on the innovative multi-criteria decision making support system for prioritization of proposed improvement processes, based on the HUMANT algorithm. The result is that one proposed improvement process is selected as the most effective solution, according to pre-defined KPIs.
机译:生产过程的持续改善包括小的增量改进,结合突破改善步骤。这些改进通常通过使用精益管理等改进概念的组织,流程和人员技能来实现这些改进。有时,通常用于突破性的改进,需要对技术的重大金融投资。另一方面,改善组织,流程和人员的技能通常不需要重大的金融投资。因此,对于工业企业来说,拥有管理不断改进过程的程序是最有价值的。确定和侧重于最重要的过程或部分流程的程序,并选择改进行动,这将对生产过程的关键绩效指标(KPI)具有最佳影响。在这项研究中,对生产和服务改进过程的综合程序在实验室在FESB,分裂大学的真实装配线上进行了实验测试。本文的重点是基于宠物算法的提出改进过程的优先考虑的创新多标准决策。结果是根据预定义的KPIS选择一个提出的改进过程作为最有效的解决方案。

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