Integrated optimization of sustainable supply chains and transportation networks for multi technology bio-based production: A decision support system based on fuzzy ε-constraint method
Integrated optimization of sustainable supply chains and transportation networks for multi technology bio-based production: A decision support system based on fuzzy ε-constraint method
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DOI：
10.1016/j.jclepro.2017.11.150
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发表时间：
2018-01-20
影响因子：
11.1
通讯作者：
Scott, James
中科院分区：
文献类型：
--
作者：
Balaman, Sebnem Yilmaz;Matopoulos, Aristides;Scott, James
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。本研究提出了一种新颖的双层决策支持系统（DSS），结合两个多目标数学模型，帮助对基于生物质（基于生物）的生产的多技术、多产品供应链和共模运输网络进行建模和优化。考虑到DSS第一级优化的供应链配置，在第二级中，设计运输网络，指定在中转站可用性限制下最合适的运输方式和相关运输选项。提出了一种集成模糊集理论和ε约束方法的混合求解方法。该方法通过在同一框架中捕获相互冲突的目标之间的权衡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，以英国整个西米德兰兹 (WM) 地区为试验场，设计了区域供应链和运输网络。此外，还进行了情景和敏感性分析，以进一步深入了解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。
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.