1. OPTIMAL SCHEDULING FOR MULTI-TEMPERATURE JOINT DISTRIBUTION UNDER CARBON TAX
- Author
-
Wei-Ting Chen and Chaug-Ing Hsu
- Subjects
Production management. Operations management ,TS155-194 ,Management. Industrial management ,HD28-70 ,Business ,HF5001-6182 - Abstract
In light of growing environmental concerns, many countries have developed schemes of carbon tax. Accordingly, carriers have to minimize the impact of carbon tax on their profits, and one of the feasible solutions is to reduce emissions through operations. On the other hand, in recent years, multi-temperature joint delivery (MTJD) has become an important issue for carriers. This paper aims to investigate how to optimize delivery schedules considering operations and emission costs due to carbon tax for multi-temperature logistics. Based on prior research, this paper integrates a model to determine a dispatching time for each order in the MTJD system by minimizing a carrier’s total spending, which consists of delivery cost and emission cost due to carbon tax. Furthermore, we compare the results obtained with and without carbon tax. The comparisons include cost structures, distribution patterns, and emissions in the two cases. The results show that carbon tax can lessen the effect of fuel consumption on operation cost, and carriers should deliver high density middle temperature ranges food at periods without traffic congestion. Food belonging to the same temperature range should have more centralized distribution when carbon tax exists than the case without emission cost.
- Published
- 2019
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