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Sustainable supply chains based on supplier selection and HRM practices

机译：可持续供应链基于供应商选择和HRM实践

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Purpose The purpose of this paper is to investigate a supply chain consisting of a producer and multiple suppliers of a type of component needed for the production of a certain product. The effects of carbon emission taxes, quality of components and human inspection errors as well as the collaboration among the supply chain members are considered. Design/methodology/approach A mathematical model is formulated for a non-collaborative supply chain, and the optimal policy is shown to be the solution of a constraint optimization problem. The mathematical model is modified to the case of a collaborative supply chain and to account for inspection errors. Algorithms are provided, and a numerical example is given to illustrate the determination of the optimal policy. Findings This study offers a new conceptual and analytical model that analyzes the production problem from a supply chain perspective. Human resource management practices and environmental aspects were incorporated into the model to reduce risk, optimally select the suppliers and properly maximize profit by accounting for human inspection error as well carbon emission taxes. Algorithms describing the determination of the optimal policy are provided. Practical implications This study provides practical results that can be useful to researchers and managers aiming at designing sustainable supply chains that incorporate economic, environmental and human factors. Originality/value This study can be useful to researchers and managers aiming for designing sustainable supply chains that incorporate economic and human factors.
机译：目的本文的目的是研究一个由一个生产商和多个供应商组成的供应链，这些供应商都是生产某种产品所需的一种组件。考虑了碳排放税、部件质量和人为检查错误以及供应链成员之间的协作的影响。设计/方法/途径建立了非协作供应链的数学模型，并证明了最优策略是约束优化问题的解。该数学模型被修改为协同供应链的情况，并考虑了检查错误。给出了算法，并给出了一个数值例子来说明最优策略的确定。结果本研究提供了一个新的概念和分析模型，从供应链的角度分析生产问题。将人力资源管理实践和环境因素纳入模型，以降低风险，优化选择供应商，并通过考虑人为检查错误和碳排放税，适当地实现利润最大化。给出了描述最优策略确定的算法。这项研究提供了一些实用的结果，对致力于设计包含经济、环境和人为因素的可持续供应链的研究人员和管理人员非常有用。独创性/价值这项研究对旨在设计包含经济和人为因素的可持续供应链的研究人员和管理人员非常有用。

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