Title: Research on vehicle location-distribution problem based on uncertain demand and low carbon emission
Authors: Pei Wang; Xiaodong Zhang; Han Boling; Lang Maoxiang
Addresses: School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China ' School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China ' Transportation Bureau, China Railway Corporation, Beijing, China ' School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China
Abstract: Global warming is a major problem and challenge faced with humankind in the 21st century, and CO2 produced by anthropogenic activities is the main reason for exacerbating the greenhouse effect. We take location-distribution problem as a research object in this paper. This problem should combine with uncertain demand and carbon emission to conform to reality. In this paper, a bi-objective mathematical model, including the objectives of minimum cost and carbon emission, was established. Methods for measuring carbon emission quantitatively from plants and distribution were proposed. Constraints of the model take uncertain demand into account, and scenario analysis method was used to deal with uncertain demands. Finally, the validity of the model was verified by an example. The results show that the greater the uncertainty of demand is, the more cost an enterprise should pay for resources to meet customers' needs, resulting in more carbon emission.
Keywords: location-distribution problem; bi-objective model; uncertain demand; carbon emission; scenario analysis.
International Journal of Heavy Vehicle Systems, 2018 Vol.25 No.3/4, pp.455 - 484
Received: 16 Nov 2017
Accepted: 01 Dec 2017
Published online: 24 Sep 2018 *