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Decision Model for Multistage Imperfect Manufacturing and Assembly System Using Cost of Quality Approach

机译:质量成本法的多阶段不完善制造装配系统决策模型

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摘要

This research presents a decision model to determine expected manufacturing performance using quality costing approach for a complex, imperfect discrete multistage manufacturing and assembly system. This model (known as M-PAFO model) measures the manufacturing performance by identifying costs for normal manufacturing activities, prevention activities, appraisal activities, failure activities, and opportunity losses due to imperfections in product quality, and actual manufacturing environment. This research further emphasizes on the importance to consider numerous manufacturing costs, as these costs are main contributors of manufacturing performances and affected by management decisions, manufacturing characteristics and cost elements. Most studies on quality costing focused on measuring costs for the prevention, appraisal & failure (PAF) elements, do not include the related manufacturing costs or consider the imperfections in real environment. This model integrates three major approaches in cost of quality, through categorising the cost using standard manufacturing and PAF approach, identifying the effects of quality control strategies through process cost model (PCM), and measuring the detail expenditures using activity based costing (ABC) approach.
机译:这项研究提出了一种决策模型,该决策模型可使用质量成本核算方法确定复杂,不完善的离散多级制造和装配系统的预期制造性能。该模型(称为M-PAFO模型)通过确定正常生产活动,预防活动,评估活动,失败活动以及由于产品质量和实际生产环境的缺陷而造成的机会损失的成本来衡量制造绩效。这项研究进一步强调了考虑众多制造成本的重要性,因为这些成本是制造性能的主要贡献者,并受管理决策,制造特征和成本要素的影响。大多数关于质量成本核算的研究都侧重于测量预防,评估和故障(PAF)要素的成本,没有包括相关的制造成本,也没有考虑实际环境中的缺陷。该模型通过使用标准制造和PAF方法对成本进行分类,通过过程成本模型(PCM)确定质量控制策略的效果以及使用基于活动的成本核算(ABC)方法测量详细支出的方法,将质量成本的三种主要方法集成在一起。

著录项

  • 作者

    Hock Kheng, Sim.;

  • 作者单位

    Multimedia University (Malaysia).;

  • 授予单位 Multimedia University (Malaysia).;
  • 学科 Mechanical engineering.;Robotics.;Management.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 236 p.
  • 总页数 236
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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