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An integrated system of activity-based quality optimisation and economic incentive schemes for a global supply chain

机译:基于活动的全球供应链质量优化和经济激励计划集成系统

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摘要

In order to lower manufacturing costs and raise flexibility, the global supply chain has become a widely adopted production pattern nowadays. However, because of its characteristics of cross-nations, cross-cultures, and weak links, to manage the quality of a global supply chain is not an easy task. This is not only a moral problem, but also an incentive problem. The economics theories suggest that sufficient incentives will be required to solve such a problem, while the measurement of quality efforts, suitable incentive schemes, and optimal incentive amounts for a global supply chain still have not been established in the literature. The purpose of this paper is to combine activity-based costing (ABC) with economic incentive schemes (EISs) to develop a system of optimal incentive planning for global supply chain quality management (GSCQM). A zero-one goal programming (ZOGP) model is proposed to decide the optimal qualities after the activity cost analyses, then the optimal qualities are utilised to determine the optimal incentive amounts by the EISs. The cases of full information and asymmetric information are distinguished. This novel approach can make the initiating company use lower but effective expenses to boost product qualities. An illustrative case study is provided, and the sensitivity analysis is also presented in this paper. The incentive estimation method developed by this paper can also be widely extended to the quality management of various industries and supply chains.
机译:为了降低制造成本并提高灵活性,全球供应链已成为当今被广泛采用的生产模式。但是,由于跨国,跨文化和薄弱环节的特点,管理全球供应链的质量并非易事。这不仅是道德问题,而且是激励问题。经济学理论表明,解决这一问题将需要足够的激励措施,而文献中仍未建立质量努力的度量标准,合适的激励方案以及全球供应链的最优激励量。本文的目的是将基于活动的成本计算(ABC)与经济激励计划(EIS)结合起来,以开发针对全球供应链质量管理(GSCQM)的最优激励计划系统。提出了一个零一目标规划(ZOGP)模型来确定活动成本后的最优质量,然后利用最优质量通过EIS确定最优激励量。区分完全信息和不对称信息的情况。这种新颖的方法可以使发起公司使用较低但有效的费用来提高产品质量。提供了一个说明性的案例研究,并在本文中也进行了敏感性分析。本文提出的激励估计方法也可以广泛推广到各个行业和供应链的质量管理。

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