An integrated inventory model with emission reduction investment under stochastic demand

• Main Authors: Yu-Han Hung, 洪郁涵
• Other Authors: 張宏吉
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/vg2jn2

碩士 === 國立臺中科技大學 === 流通管理系碩士班 === 107 === Global warming and greenhouse gas emission have become an environmental issue now, so many studies related to the production and inventory problems begin to discuss carbon emission policies, or further consider through investing green technology to reduce carbon emission. The idea is by making better decisions or operating methods to achieve the objective of social environmental sustainability. This study establishes a vender-buyer integrated inventory model under stochastic demand with regard to two carbon emission policies (tax and cap-and-trade) and emission reduction investment plan. The objective is to find the optimal investing and inventory strategy for the model, which decision variables are order quantity, reorder point, number of shipments, and amount of emission reduction investment, so as to minimize the expected total cost. Besides, for the lead-time demand, we consider the normal distribution case and distribution free case. We use numerical example to illustrate the results of proposed models and perform sensitivity analysis. The numerical results show that comparing the tax policy model with emission reduction investment to the traditional model, the total carbon emission is reduced. Comparing the cap-and-trade policy model with emission reduction investment to the traditional model, both the expected total cost and total carbon emission are reduced.