Incentive mechanisms for service supply chains based on the buy-back contract

2010 ◽  
Author(s):  
Yu Haihong ◽  
Liu Nan
Keyword(s):  
Supply Chains ◽  
Incentive Mechanisms ◽  
Buy Back ◽  
Service Supply Chains

Dynamics of judicial service supply chains

2014 ◽  
Vol 67 (7) ◽  
pp. 1447-1454 ◽  
Author(s):  
Luis López ◽  
Roy Zúñiga
Keyword(s):  
Supply Chains ◽  
Service Supply Chains

Variation Management in the Product-Service Supply Chains of Repairable Products

2018 ◽  
pp. 104-152
Author(s):  
Shabnam Rezapour ◽  
Amirhossein Khosrojerdi ◽  
Golnoosh Rasoulifar ◽  
Janet K. Allen ◽  
Jitesh H. Panchal ◽  
...  
Keyword(s):  
Supply Chains ◽  
Product Service ◽  
Service Supply Chains ◽  
Variation Management

Optimising reorder intervals and order-up-to levels in guaranteed service supply chains

2013 ◽  
Vol 52 (1) ◽  
pp. 149-164 ◽  
Author(s):  
Ayse Sena Eruguz ◽  
Zied Jemai ◽  
Evren Sahin ◽  
Yves Dallery
Keyword(s):  
Supply Chains ◽  
Guaranteed Service ◽  
Service Supply Chains

The Model and Algorithm for Computing Market Share in Competitive Service Supply Chains

2011 ◽  
Vol 204-210 ◽  
pp. 1283-1286
Author(s):  
Yi Hong Hu ◽  
Jian Tong Zhang
Keyword(s):  
Supply Chains ◽  
Market Share ◽  
Utility Maximization ◽  
Choice Theory ◽  
Service Providers ◽  
Customer Behavior ◽  
Customer Choice ◽  
Infinite Dimensional ◽  
Service Supply Chains ◽  
Maximization Principle

This paper studies the problem of computing market share in competitive service supply chains characterized by service congestion phenomena. Heterogenous customers choose services based on the utility maximization principle taking congestion into account. We use customer choice theory and infinite dimensional variational inequality to model the customer behavior and estimate service product’s market share. An extended Frank and Wolfe algorithm for solving this market share problem and a numerical example is given. The results shows that that service providers with poor service quality can also win some market share due to customers’ aversion to congestion.

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