Possibilistic cooperative advertising and pricing games for a two-echelon supply chain

This paper addresses coordination of pricing and cooperative advertising policies in a two-echelon supply chain under fuzziness of demand function’s parameters and manufacturing costs. Three different decentralized scenarios are introduced with regard to the players’ market power: (1) manufacturer-S...

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Bibliographic Details
Published in:Soft computing (Berlin, Germany) Germany), 2021-05, Vol.25 (10), p.6957-6971
Main Authors: Mozafari, Marzieh, Naimi-Sadigh, Ali, Seddighi, Amir Hossein
Format: Article
Language:English
Subjects:
Advertising
Advertising expenditures
Artificial Intelligence
Competition
Computational Intelligence
Control
Cooperation
Engineering
Expenditures
Fuzzy sets
Game theory
Inventory
Manufacturers
Mathematical Logic and Foundations
Mechatronics
Methodologies and Application
Parameters
Pricing
Production costs
Retail stores
Robotics
Set theory
Supply chains
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Summary:This paper addresses coordination of pricing and cooperative advertising policies in a two-echelon supply chain under fuzziness of demand function’s parameters and manufacturing costs. Three different decentralized scenarios are introduced with regard to the players’ market power: (1) manufacturer-Stackelberg game where the manufacturer has the dominant power in the channel, (2) retailer-Stackelberg game where the manufacturer follows the strategies taken by a dominant retailer, and (3) Nash game where the manufacture and the retailer with the same market power make the decisions simultaneously. The equilibrium wholesale and retail prices, national and local advertising expenditures, and participation rate are determined using the concepts of possibilistic game theory, and the results are compared with the centralized channel scenario. A numerical example is presented to illustrate the effectiveness of the proposed modeling approach, and sensitivity analyses are carried out to measure the impact of the demand function’s parameters as well as the levels of uncertainty.
ISSN:1432-7643
1433-7479
DOI:10.1007/s00500-021-05595-7