2020
DOI: 10.1108/gs-04-2020-0056
|View full text |Cite
|
Sign up to set email alerts
|

Coordination and competition in two-echelon supply chain using grey revenue-sharing contracts

Abstract: PurposeThis study examines the potential of contracts as one of the supply chain coordination mechanisms under competitive conditions. It also investigates a two-echelon supply chain model with two manufacturers and two retailers to develop a competitive structure in grey stochastic demand.Design/methodology/approachSupply chain demand is considered as a stochastic phenomenon depending on the selling price of the product. Also, products can be replaced by market manufacturers. Each retailer faces the pricing o… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
8
0

Year Published

2021
2021
2024
2024

Publication Types

Select...
10

Relationship

2
8

Authors

Journals

citations
Cited by 29 publications
(12 citation statements)
references
References 42 publications
0
8
0
Order By: Relevance
“…Aiming at the opening of the carbon emission trading market, Cao et al (2016) determined the optimal range of the revenue-sharing ratio of a two-echelon supply chain composed of an emission-dependent manufacturer and a retailer by considering the revenue-sharing contract and combining the actual situation with the Stackelberg game method. Hendalianpour et al (2020) compared the duopoly supply chain models based on wholesale price contract, revenue-sharing contract, and quantity discount contract using the grey optimization and coordination analysis method. The results show that the performance of revenue-sharing contracts in the supply chain is higher.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Aiming at the opening of the carbon emission trading market, Cao et al (2016) determined the optimal range of the revenue-sharing ratio of a two-echelon supply chain composed of an emission-dependent manufacturer and a retailer by considering the revenue-sharing contract and combining the actual situation with the Stackelberg game method. Hendalianpour et al (2020) compared the duopoly supply chain models based on wholesale price contract, revenue-sharing contract, and quantity discount contract using the grey optimization and coordination analysis method. The results show that the performance of revenue-sharing contracts in the supply chain is higher.…”
Section: Literature Reviewmentioning
confidence: 99%
“…They assume that one retailer can purchase from two suppliers, and another retailer is an integrated firm. Hendalianpour et al [30] investigate a two-echelon SC model with two manufacturers and two retailers facing grey stochastic demand, and each retailer can purchase products from two manufacturers, which leads to the competition between two retailers. They mainly examine the important role of the contracts to coordinate SC under competitive conditions.…”
Section: Literature Reviewmentioning
confidence: 99%
“…An inventory control management strategy for the perishable items was developed by Feng et al [18] assuming the dependency of the demand rate on price, displayed stock, freshness of items simultaneously.On the other hand, Hendalianpour [19] developed an inventory control problem with price dependent demand in game theoretic approach using the double interval grey number for tracing the consumer behavior more accurately.The study of the distribution management of blood products (one kind of perishable items) was mathematically modeled under transshipment and uncertain demand consideration and optimized through heuristic algorithm by Liu et al [20].The potential of different contracts (like wholesale-price, revenue-share, quantity discount etc.) under the competitive structures of two manufactures and two retailers with price sensitive stochastic grey demand was examined by Hendalianpouret al [21].Also, Deyet al [22] considered the discrete set up cost for an integrated inventory model with price dependent demand.…”
Section: Recent Advancement On Inventorymodellingmentioning
confidence: 99%