可持续供应链管理在建筑行业绩效改进中的应用:系统动力学方法

Mariam Ghufran, Khurram Iqbal Ahmad Khan, Muhammad Jamaluddin Thaheem, Abdur Rehman Nasir, Fahim Ullah
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引用次数: 10

摘要

可持续供应链管理(SSCM)是指对供应链上各企业之间的信息、物资、现金流和协作进行管理,以实现可持续发展目标。本研究论文旨在确定SSCM采用中的挑战,并利用建模和仿真技术使用系统动力学(SD)方法解决相关的复杂性。本研究使用内容分析从文献中确定了挑战。通过访谈和问卷调查确定了这些已确定挑战之间的因果关系,从而形成了因果循环图(CLD),并用于开发SD模型。在19个入围变量中,CLD具有IV强化回路和II平衡回路。此外,利用CLD建立了两个股票的SD模型,并增加了一个名为“项目绩效”的新股票,以设想所有股票的累积影响。该模型进行了五年的模拟,结果预测高层管理承诺和企业社会责任的缺乏对项目绩效产生不利影响。这意味着需要改善许多因素,特别是企业社会责任和高层管理人员的承诺,这将导致采用SSCM,从而导致建筑业(CI)的绩效改善。利用边界充分性、结构和参数验证测试对模型进行了验证,结果表明所开发的模型是合乎逻辑的,并且近似地复制了行业的实际系统。研究结果将有助于CI从业者在供应链方面采用可持续性原则,不仅可以提高生产力和绩效,还可以帮助最大限度地减少延误,促进长期关系,减少沟通差距和项目复杂性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Adoption of Sustainable Supply Chain Management for Performance Improvement in the Construction Industry: A System Dynamics Approach
Sustainable supply chain management (SSCM) involves the managing of information, materials, cash flows, and collaboration among enterprises along the supply chain, integrating sustainable development goals. This research paper aims to determine challenges in SSCM adoption and to address related complexity using the system dynamics (SD) approach utilizing modeling and simulation techniques. This research identified challenges from the literature using content analysis. Causality among these identified challenges was determined using interviews and questionnaire surveys that led to the development of a causal loop diagram (CLD), which was used in the development of the SD model. Among the 19 shortlisted variables, CLD had IV reinforcing and II balancing loops. Moreover, CLD was used to build an SD model with two stocks, and a new stock named ‘project performance’ was added to envisage the cumulative impact of all stocks. The model was simulated for five years, and the results predict that the lack of top management commitment and corporate social responsibility adversely affects project performance. This implies that there is a need to improve numerous factors, in particular corporate social responsibility and top management commitment, which would lead to the adoption of SSCM, thus leading to a performance improvement for the construction industry (CI). The model was validated using boundary adequacy, structure, and parametric verification tests, which showed that the developed model is logical and approximately replicates the industry’s actual system. The research findings will help the CI practitioners to adopt sustainability principles in terms of the supply chain and will not only enhance productivity and performance but will also help in the minimization of delays, promote long-term relations, and reduce communication gaps and project complexities.
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