TY - JOUR
T1 - Analyzing just-in-time purchasing strategy in supply chains using an evolutionary game approach
AU - Liu, Ziang
AU - Nishi, Tatsushi
N1 - Funding Information:
This research was conducted by the aid of funding provided by JSPS KAKENHI (A) 18H03826. The authors would like to thank editors and anonymous reviewers for their valuable comments and suggestions to improve the quality of the paper.
Publisher Copyright:
© 2020 The Japan Society of Mechanical Engineers
PY - 2020
Y1 - 2020
N2 - Many researchers have focused on the comparison between the JIT model and the EOQ model. However, few of them studied this problem from an evolutionary perspective. In this paper, a JIT purchasing with the single-setup-multi-delivery model is introduced to compare the total costs of the JIT model and the EOQ model. Also, we extend the classical JIT-EOQ models to a two-echelon supply chain which consists of one manufacturer and one supplier. Considering the bounded rationality of players and the quickly changing market, an evolutionary game model is proposed to discuss how these factors impact the strategy selection of the companies. And the evolutionarily stable strategy of the proposed model is analyzed. Based on the analysis, we derive the conditions when the supply chain system will choose the JIT strategy and propose a contract method to ensure that the system converges to the JIT strategy. Several numerical experiments are provided to observe the JIT and EOQ purchasing strategy selection of the manufacturer and the supplier. The results suggest that, in most situations, the JIT strategy is preferred. However, the EOQ strategy remains competitive when the supplier's inventory cost level is high or the demand is low. Supply chain members can choose the EOQ strategy even when the JIT strategy is more profitable. In some situations, strategy selection also depends on the market situation. The JIT policy with low investment costs and high supply chain performance is preferred for the companies.
AB - Many researchers have focused on the comparison between the JIT model and the EOQ model. However, few of them studied this problem from an evolutionary perspective. In this paper, a JIT purchasing with the single-setup-multi-delivery model is introduced to compare the total costs of the JIT model and the EOQ model. Also, we extend the classical JIT-EOQ models to a two-echelon supply chain which consists of one manufacturer and one supplier. Considering the bounded rationality of players and the quickly changing market, an evolutionary game model is proposed to discuss how these factors impact the strategy selection of the companies. And the evolutionarily stable strategy of the proposed model is analyzed. Based on the analysis, we derive the conditions when the supply chain system will choose the JIT strategy and propose a contract method to ensure that the system converges to the JIT strategy. Several numerical experiments are provided to observe the JIT and EOQ purchasing strategy selection of the manufacturer and the supplier. The results suggest that, in most situations, the JIT strategy is preferred. However, the EOQ strategy remains competitive when the supplier's inventory cost level is high or the demand is low. Supply chain members can choose the EOQ strategy even when the JIT strategy is more profitable. In some situations, strategy selection also depends on the market situation. The JIT policy with low investment costs and high supply chain performance is preferred for the companies.
KW - Economic order quantity
KW - Evolutionarily stable strategy
KW - Just-in-time
KW - Purchasing
KW - Supply chain management
UR - http://www.scopus.com/inward/record.url?scp=85089096575&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85089096575&partnerID=8YFLogxK
U2 - 10.1299/jamdsm.2020jamdsm0070
DO - 10.1299/jamdsm.2020jamdsm0070
M3 - Article
AN - SCOPUS:85089096575
SN - 1881-3054
VL - 14
JO - Journal of Advanced Mechanical Design, Systems and Manufacturing
JF - Journal of Advanced Mechanical Design, Systems and Manufacturing
IS - 5
M1 - 19-00657
ER -