Collaborative Research: Optimizing the Supply Chain for Cost and Carbon Footprint

合作研究：优化供应链的成本和碳足迹

• 批准号: 1041764
• 负责人: Mark Daskin
• 金额: $ 18.75万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-01-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1041764&HistoricalAwards=false
• 关键词: Collaborative; Research; Optimizing; Supply; Chain

This grant funds the development of supply chain models that account for the need to minimize or restrict carbon emissions while also minimizing cost or maximizing profit. The models will account for carbon emissions at several levels: (1) single operation models (e.g., inventory models) at a single firm, (2) inter-functional models that integrate a range of operational models (e.g., location, transportation, sourcing and inventory decisions) across the supply chain at a single firm and (3) inter-company inter-functional models that account for the interaction between firms within the supply chain. The models developed will be multi-objective, allowing planners to explore the tradeoffs between cost and carbon footprint. They will allow the examination of carbon emissions across the entire spectrum of supply chain activities in which a firm engages, contrasting with current practice which tends to focus on carbon emissions in single operations (e.g., transportation but not inventory or production). The models will also account for collaboration across the supply chain to reduce emissions and will capture the interactions between firms within the same supply chain, as decisions made by one firm can significantly impact both the cost and carbon footprint at other firms. The models will be used to investigate schemes that allocate carbon footprint, and associated cost, among member firms of the supply chain, recognizing the differential capabilities of firms to meet emission standards. They will also be used to investigate the impact of different regulatory policies, including cap-and trade, carbon taxing, and carbon offsetting, on supply chain performance. If successful, this research (1) will enhance our understanding of key tradeoffs between costs and emissions, (2) will contribute to our ability to reduce carbon emissions across a range of supply chains, (3) will identify coordination mechanisms and incentives systems under which firms voluntarily choose to collaborate with other firms on carbon emission reductions, and (4) will explore the efficacy of various regulatory policies and support the implementation of policies that reduce emissions while mitigating the impact on supply chain performance.

这笔赠款资助了供应链模型的开发，该模型考虑了最小化或限制碳排放的需要，同时也最小化成本或最大化利润。这些模型将在几个层面上解释碳排放：（1）单个公司的单一运营模型（例如库存模型），（2）集成一系列运营模型（例如位置、运输、采购）的跨职能模型和库存决策）以及（3）公司间的职能间模型，该模型解释了供应链内公司之间的相互作用。开发的模型将是多目标的，使规划者能够探索成本和碳足迹之间的权衡。它们将允许检查公司参与的整个供应链活动范围内的碳排放，这与目前倾向于关注单一业务（例如运输而不是库存或生产）中的碳排放的做法形成鲜明对比。这些模型还将考虑整个供应链中的协作以减少排放，并将捕捉同一供应链内企业之间的相互作用，因为一家公司做出的决策可能会显着影响其他公司的成本和碳足迹。这些模型将用于研究在供应链成员企业之间分配碳足迹和相关成本的计划，认识到企业满足排放标准的能力差异。它们还将用于调查不同监管政策（包括限额与交易、碳税和碳抵消）对供应链绩效的影响。 如果成功，这项研究（1）将增强我们对成本和排放之间关键权衡的理解，（2）将有助于我们减少一系列供应链碳排放的能力，（3）将确定协调机制和激励制度哪些企业自愿选择与其他企业开展碳减排合作，（4）探索各种监管政策的有效性，支持减排政策的实施，同时减轻对供应链绩效的影响。