TY - GEN
T1 - A dynamic modeling simulation for supply chain management inventory service
T2 - 2018 International Conference on Information Management and Management Science, IMMS 2018
AU - Sang, Haixia
AU - Kotake, Yoshiki
AU - Takahashi, Shingo
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant Number JP118K13954. The sample data related to the rental housing unit supply chain operation is fictitious.
Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/8/25
Y1 - 2018/8/25
N2 - This paper presents a simulation approach to analyze the rental housing supply chain's inventory problem. Unlike most products, the rental housing unit is a "circulation type" product, and the inventory problem is complicated. In this paper, a systematic and flexible process is proposed that efficiently provides critical decision-making support to managers to help them understand and validate the inventory problem in the rental housing supply chain. The proposed procedure considered inventory impact factors, such as the forecasting method, the lead time, the initial inventory level, and the inventory filling indicator. In addition, the procedure is applied to an actual rental housing supply chain to confirm its effectiveness. Furthermore, the proposed method was found to be both practical and powerful in assisting managers with their continuous decision-making efforts.
AB - This paper presents a simulation approach to analyze the rental housing supply chain's inventory problem. Unlike most products, the rental housing unit is a "circulation type" product, and the inventory problem is complicated. In this paper, a systematic and flexible process is proposed that efficiently provides critical decision-making support to managers to help them understand and validate the inventory problem in the rental housing supply chain. The proposed procedure considered inventory impact factors, such as the forecasting method, the lead time, the initial inventory level, and the inventory filling indicator. In addition, the procedure is applied to an actual rental housing supply chain to confirm its effectiveness. Furthermore, the proposed method was found to be both practical and powerful in assisting managers with their continuous decision-making efforts.
KW - Inventory management
KW - Rental unit
KW - Seasonal demand
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85058242784&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058242784&partnerID=8YFLogxK
U2 - 10.1145/3277139.3277178
DO - 10.1145/3277139.3277178
M3 - Conference contribution
AN - SCOPUS:85058242784
T3 - ACM International Conference Proceeding Series
SP - 125
EP - 132
BT - Proceedings of the 2018 International Conference on Information Management and Management Science, IMMS 2018
PB - Association for Computing Machinery
Y2 - 25 August 2018 through 27 August 2018
ER -