Modelling a decision-making network for sustainable manufacturing strategy

Q1 Economics, Econometrics and Finance
L. Ocampo, E. Clark, A. Chiu, R. Tan
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引用次数: 5

Abstract

This paper develops an approach that explores the impact of stakeholders' interests in developing a sustainable manufacturing strategy. Manufacturing firms are faced with the challenge of integrating sustainability with the classical function of manufacturing. To integrate these two objectives is to take into consideration different stakeholders' interests as significant drivers toward sustainability. This work explores the significance of these interests in developing a manufacturing strategy using the proposed probabilistic fuzzy analytic network process. The method handles the complexity of the decision framework and judgment elicitation in pairwise comparisons is described using linguistic variables with equivalent triangular fuzzy numbers. Probability theory is then used to merge the judgments of multiple decision-makers. The method is useful for handling complexity and uncertainty in group decision-making. Results show the content of the sustainable manufacturing strategy. Insights and future works are also discussed.
可持续制造战略的决策网络建模
本文提出了一种方法,探讨利益相关者在制定可持续制造战略中的利益影响。制造企业面临着将可持续性与传统制造功能相结合的挑战。将这两个目标结合起来,就是要考虑到不同利益相关者的利益,将其作为可持续发展的重要驱动因素。这项工作探讨了这些兴趣在使用所提出的概率模糊分析网络过程制定制造战略中的重要性。该方法处理了决策框架的复杂性,并使用具有等效三角模糊数的语言变量描述了成对比较中的判断启发。然后使用概率论来合并多个决策者的判断。该方法可用于处理群体决策中的复杂性和不确定性。结果显示了可持续制造战略的内容。还讨论了见解和未来的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Progress in Industrial Ecology
Progress in Industrial Ecology Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.10
自引率
0.00%
发文量
24
期刊介绍: PIE contributes to international research and practice in industrial ecology for sustainable development. PIE aims to establish channels of communication between academics, practitioners, business stakeholders and the government with an interdisciplinary and international approach to the challenges of corporate social responsibility and inter-organisational environmental management.
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