Integrating sustainability in supply chain planning and decision-making processes

将可持续性纳入供应链规划和决策过程

• 批准号: RGPIN-2018-04555
• 负责人: Boukherroub, Tasseda
• 金额: $ 1.89万
• 依托单位: École de technologie supérieure
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2022
• 资助国家: 加拿大
• 起止时间: 2022-01-01 至 2023-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=753921
• 关键词: Integrating; sustainability; supply; chain; planning

The objective of this research program is to develop new approaches to address the challenging problem of sustainability principles integration into supply chain planning and collaborative planning. Usually, the supply chain performance is purely economic. Considering environmental and social aspects transforms the performance to a three-dimensional concept, which leads to complex planning problems: each dimension might encompass multiple criteria, which might be conflictual; compromises are thus required. Each criterion should be measured by a relevant indicator. This is challenging because many criteria are involved and these indicators are measured in different units and measuring scales. Some of them are dependent. Finding compromises in a collaborative framework adds complexity: to ensure the collaboration success, the decision-makers and stakeholders need to reach a consensus and mutual advantages that are greater than individual advantages, in regards to sustainability criteria. Fairness among players regarding “the sharing of benefits and risks” from all economic, environmental and social perspectives must be ensured. This problem has been mainly studied from the economic perspective. Finally, the decision-makers and stakeholders might have different backgrounds and goals, and might perceive the planning problem from very different perspectives. All these aspects inevitably leads to large, non-linear, multiple-criteria and multiple-actors planning problems. Multi-objective optimization is an appropriate approach for dealing with this multidisciplinary problem. In the literature, the approaches proposed often lead to single objective optimization and economic-driven models. Only few studies consider social criteria in the mathematical formulations. Trade-offs between all three sustainability performances are rarely generated and analyzed. The impact of sustainability integration into supply chain planning on collaboration is not sufficiently studied. The managers and stakeholder' sustainability goals are rarely considered and few real case studies have been reported in the literature. This research program aims to: 1) develop new multi-objective optimization models to efficiently model sustainable and collaborative supply chain planning problems. 2) Develop new methods and algorithms to solve the formulated problems and facilitate the visualization of the results. 3) Develop new methods for sh aring the sustainable benefits of collaboration while ensuring fairness among all players. 4) Design efficient planning processes to support decision-making in collaboration context. 5) Apply the approaches and methods developed to cases studies in the forest sector, where sustainability concerns are of high importance and the supply chain networks and planning processes are complex and unique. The results will be generalized to other sectors.

该研究计划的目标是开发新方法来解决将可持续性原则纳入供应链规划和协作规划的挑战性问题。通常，考虑到环境和社会方面，供应链绩效将转变为三方面的绩效。维度概念，导致复杂的规划问题：每个维度可能包含多个标准，因此可能需要妥协；每个标准都应该由相关指标来衡量，这是具有挑战性的，因为涉及许多标准并且要衡量这些指标。在不同的单位和测量尺度中，其中一些是相关的。在协作框架中寻求妥协会增加复杂性：为了确保协作成功，决策者和利益相关者需要就“共享”的可持续性标准达成共识并实现大于个人优势的共同优势。最后，决策者和利益相关者可能有不同的背景和目标，并且可能从非常不同的角度来看待规划问题。所有这些方面都不可避免地导致大的、非线性、多标准和多参与者规划问题是处理这种多学科问题的合适方法，在文献中，提出的方法通常会导致单目标优化和经济驱动模型。研究在数学公式中考虑了社会标准。很少生成和分析可持续发展纳入供应链规划对协作的影响。很少考虑和分析管理者和利益相关者的可持续发展目标。实际案例研究报道甚少该研究计划的目的是：1）开发新的多目标优化模型，以有效地模拟可持续和协作的供应链规划问题；2）开发新的方法和算法来解决所提出的问题并促进结果的可视化。开发新方法，在所有参与者之间公平分享合作的可持续效益 4) 设计有效的规划流程，以支持合作环境中的决策 5) 将开发的途径和方法应用于涉及可持续性的森林部门的案例研究。具有高度的重要性并且供应网络和规划过程复杂且独特，其结果将推广到其他部门。