TY - JOUR
T1 - Optimizing multi-echelon inventory with three types of demand in supply chain
AU - Dai, Zhuo
AU - Aqlan, Faisal
AU - Gao, Kuo
N1 - Funding Information:
This work is supported by Jiangxi University Humanities and Social Sciences Research Foundation [Grant No. JJ1541] and by National Natural Science Foundation of China [Grant No. 71462020].
Publisher Copyright:
© 2017 Elsevier Ltd
PY - 2017/11
Y1 - 2017/11
N2 - This paper proposes multi-echelon inventory models with three types of demand. The stakeholders consist of a retailer, a plant and a number of middlemen. Because the modes of demand for stakeholders are different, the stakeholders have different inventory modes. Based on these different inventory modes, three models and the procedures to solve these models are developed. In computational experiments, the applicability of the proposed models and procedures is verified. Management insights are summarized through analyzing the composition of average total inventory cost. Finally, the relationship between the parameters and the optimal solutions is investigated by two sensitivity analyses.
AB - This paper proposes multi-echelon inventory models with three types of demand. The stakeholders consist of a retailer, a plant and a number of middlemen. Because the modes of demand for stakeholders are different, the stakeholders have different inventory modes. Based on these different inventory modes, three models and the procedures to solve these models are developed. In computational experiments, the applicability of the proposed models and procedures is verified. Management insights are summarized through analyzing the composition of average total inventory cost. Finally, the relationship between the parameters and the optimal solutions is investigated by two sensitivity analyses.
UR - http://www.scopus.com/inward/record.url?scp=85032501202&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85032501202&partnerID=8YFLogxK
U2 - 10.1016/j.tre.2017.09.008
DO - 10.1016/j.tre.2017.09.008
M3 - Article
AN - SCOPUS:85032501202
VL - 107
SP - 141
EP - 177
JO - Transportation Research, Part E: Logistics and Transportation Review
JF - Transportation Research, Part E: Logistics and Transportation Review
SN - 1366-5545
ER -