TY - JOUR
T1 - HOW TO SHARE PARTIAL INFORMATION WITH COMPETITIVE MANUFACTURERS
AU - Zhang, Huimin
AU - Zhao, Jing
AU - Hou, Fujun
N1 - Publisher Copyright:
© 2023, Journal of Industrial and Management Optimization. All Rights Reserved.
PY - 2023
Y1 - 2023
N2 - This paper investigates the partial information sharing of a supply chain including one retailer and two competitive manufacturers. The retailer has information about the uncertain market demand, and can share partial information with neither, one, or both of the manufacturers. We formulate three pricing decision models, and explore how some parameters (e.g., the amount of shared information, competition intensity, etc.) affect pricing and profits. Moreover, we give the sufficient conditions that each member benefits from the retailer's partial information sharing.
AB - This paper investigates the partial information sharing of a supply chain including one retailer and two competitive manufacturers. The retailer has information about the uncertain market demand, and can share partial information with neither, one, or both of the manufacturers. We formulate three pricing decision models, and explore how some parameters (e.g., the amount of shared information, competition intensity, etc.) affect pricing and profits. Moreover, we give the sufficient conditions that each member benefits from the retailer's partial information sharing.
KW - Competitive manufac-turers
KW - Demand signal
KW - Partial information sharing
KW - Supply chain management
KW - Uncertain demand
UR - http://www.scopus.com/inward/record.url?scp=85141318176&partnerID=8YFLogxK
U2 - 10.3934/jimo.2022010
DO - 10.3934/jimo.2022010
M3 - Article
AN - SCOPUS:85141318176
SN - 1547-5816
VL - 19
SP - 1636
EP - 1657
JO - Journal of Industrial and Management Optimization
JF - Journal of Industrial and Management Optimization
IS - 3
ER -