A Quantity-Flexibility Contract in Two-Stage Decision with Supply Chain Coordination

2015 ◽  
Author(s):  
Xin Li
Keyword(s):  
Supply Chain ◽  
Supply Chain Coordination ◽  
Two Stage ◽  
Quantity Flexibility ◽  
Quantity Flexibility Contract

scholarly journals Supply Chain Coordination with a Loss-Averse Retailer and Combined Contract

Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 586
Author(s):  
Wei Liu ◽  
Shiji Song ◽  
Ying Qiao ◽  
Han Zhao
Keyword(s):  
Supply Chain ◽  
Loss Aversion ◽  
Value At Risk ◽  
Supply Chain Coordination ◽  
Wholesale Price ◽  
Conditional Value At Risk ◽  
Optimal Order ◽  
Confidence Levels ◽  
Quantity Flexibility ◽  
Quantity Flexibility Contract

This paper studies the supply chain coordination where the retailer is loss-averse, and a combined buyback and quantity flexibility contract is introduced. The loss-averse retailer’s objective is to maximize the Conditional Value-at-Risk of utility. It is shown the combined contract can coordinate the chain and a unique coordinating wholesale price exists if the confidence level is below a threshold. Moreover, the retailer’s optimal order quantity, expected utility and coordinating wholesale price are decreasing in loss aversion and confidence levels, respectively. We also find that when the contract parameters are restricted, the combined contract may coordinate the supply chain even though neither of its component contracts coordinate the chain.

Two Stage Supply Chain Optimization for Perishable Products Under Fuzzy Environment

2019 ◽  
Vol 8 (3) ◽  
pp. 31-48
Author(s):  
Sandhya Makkar
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chain Coordination ◽  
Supply Chain Optimization ◽  
Coordination Problem ◽  
Two Stage ◽  
Chain Management ◽  
Fuzzy Environment ◽  
Demand Information ◽  
The One

In the changing market scenario, supply chain management is getting phenomenal importance amongst researchers. Studies on supply chain management have emphasized the vitality of a long-term strategic relationship between the supplier, distributor and retailer. In this article, the authors have studied a two-stage supply chain coordination problem under uncertain costs and demand information when integrated procurement and distribution decisions of supply chain has to be employed. The model incorporates a single supplier transporting its products to multiple destinations of a retailer. This process becomes tedious, as when items have an inventory carrying cost incurred due to perishable nature of products. Different discount policies are offered to procure and transport goods from the one stage to other stage. Fuzzy set theory is applied to estimate the uncertainty associated with the input parameters and triangular fuzzy numbers are used to analyze the model. A case is presented to validate the procedure.

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