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首页> 外文期刊>Journal of Cleaner Production >Integrated optimization of sustainable supply chains and transportation networks for multi technology bio-based production: A decision support system based on fuzzy e-constraint method
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Integrated optimization of sustainable supply chains and transportation networks for multi technology bio-based production: A decision support system based on fuzzy e-constraint method

机译：多技术生物基生产的可持续供应链和运输网络的集成优化：基于模糊电子约束方法的决策支持系统

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摘要

Developing and employing effective design methodologies can significantly improve the economic and environmental viability of renewable production processes. This study contributes by presenting a novel bi-level decision support system (DSS) to aid modelling and optimization of multi technology, multi product supply chains and co-modal transportation networks for biomass based (bio-based) production combining two multi-objective mathematical models. Considering the supply chain configuration optimized by the first level of the DSS, in the second level, the transportation network is designed specifying the most appropriate transportation mode and related transportation option under transfer station availability limitations. A hybrid solution methodology that integrates fuzzy set theory and epsilon-constraint method is proposed. This methodology handles the system specific uncertainties addressing the economic and environmental sustainability aspects by capturing trade-offs between conflicting objectives in the same framework. To explore the viability of the proposed models and solution methodology, a regional supply chain and transportation network is designed using the entire West Midlands (WM) region of the UK as a testing ground. Additionally, scenario and sensitivity analyses are conducted to provide further insights into design and optimization of the biomass based supply chains. (C) 2017 Elsevier Ltd. All rights reserved.
机译：开发和采用有效的设计方法可以显着提高可再生生产过程的经济和环境可行性。这项研究通过提出一种新颖的双层决策支持系统（DSS）做出了贡献，该系统结合了两个多目标数学模型，有助于基于生物质的生产（基于生物的）的多技术，多产品供应链和协同运输网络的建模和优化。楷模。考虑到由DSS的第一级优化的供应链配置，在第二级中，设计了运输网络，以指定在转运站可用性限制下最合适的运输模式和相关的运输选项。提出了一种融合模糊集理论和ε约束方法的混合求解方法。该方法论通过捕获同一框架中相互矛盾的目标之间的折衷来处理系统特定的不确定性，从而解决经济和环境可持续性方面的问题。为了探索所提出的模型和解决方案方法的可行性，设计了一个区域供应链和运输网络，以英国的整个西米德兰兹（WM）地区为试验场。此外，进行了情景和敏感性分析，以进一步洞察基于生物质的供应链的设计和优化。 （C）2017 Elsevier Ltd.保留所有权利。

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