摘要: |
The objective of this research is to evaluate the impact of carbon emission regulations on supply chains with volatile demand. Supply chain operations such as inventory holding, freight transportation, logistics, and warehousing activities are major contributors to emissions for manufacturing, retailing, transportation, health, and service industries. Therefore, it is crucial that supply chain agents plan their operations with environmental considerations. Recently, several forms of carbon emission regulations have been proposed and/or implemented to reduce emissions. This research will model and solve a supply chain agent's operations planning problem under two well-known carbon regulations: carbon-taxing and carbon-cap-and-trade. The growing literature on "green" supply chains and emissions is nearly exclusively focused on settings with deterministic demand. To better capture practical aspects of supply chains/logistics, our research will formulate an integrated inventory control and transportation model with stochastic demand under the aforementioned carbon regulations. This model will be solved using engineering management/operations research concepts. This project will provide decision-making algorithms to help supply chain agents better manage inventory and transportation in light of economic and environmental pressures in the presence of demand volatility. The theoretical modeling and sensitivity analysis will be complimented with a pilot case study using a Missouri firm. |