scholarly journals FUZZY SUPPLY CHAIN COORDINATION MECHANISM WITH IMPERFECT QUALITY ITEMS

2019 ◽  
Vol 25 (2) ◽  
pp. 239-257 ◽  
Author(s):  
Shukuan Liu ◽  
Jie Gao ◽  
Zeshui Xu

We study the supply chain (SC) returning strategy and quantity discount coordination under the condition of product quality defects. We assume that the demand is a triangular fuzzy number (TFN), considering the SC coordination problem consisting of a manufacturer and a retailer. The decentralized SC coordination model and the integrated SC coordination model under a fuzzy environment are established respectively. The fuzzy set theory is used to study the manufacturer’s quantity discount and the retailer’s coordination of return policy. The signed distance is used as the ranking method to find the optimal order quantity in SC, and the optimization theory is used to maximize the participants’ profits. We first demonstrate that the retailer’s profit will be reduced in a typical integrated channel, and then we propose a quantitative discount return policy to coordinate the profits of the manufacturer and the retailer. Finally, the coordination steps are designed, and the manufacturer’s return policy is given. Meanwhile, some illustrative cases are provided to illustrate the feasibility of the proposed model.

2018 ◽  
Vol 30 (2) ◽  
pp. 195-204 ◽  
Author(s):  
Nana Geng ◽  
Yong Zhang ◽  
Yixiang Sun

Biofuel is considered to be an important alternative energy in the future transportation. Its development is supported by the rest of the world. However, biofuel industry development is still very slow. From the previous research it is known that the supply chain coordination and other problems need to be solved to promote the supply chain ability. This paper studies biodiesel supply chain coordination problem from the view of disturbance management. It gives a disturbed coordination strategy which contains the optimal order quantity and the contract parameters. This paper has then verified the disturbed coordination strategy through using the actual data of Jiangsu Yueda Kate New Energy Co. Ltd. The result shows that when the market demand and the recovery cost are simultaneously disturbed, the coordination can make the biodiesel supply chain robust and the new strategy under the revenue sharing contract is better than the original one.


2021 ◽  
Author(s):  
Amanpreet Singh Pabla

This project focuses on supply chain coordination model between vendor and buyer with emphasis on transportation cost. The objective is to minimize the supply chain cost which comprises of order cost, setup cost, vendor holding, buyer holding, shortage cost and finally transportation cost. The model developed in this project determines the optimal order size, number of shipments, and reorder point while simultaneously accounting for the uncertainties in diesel price. Uncertainty in price of diesel is also developed using mean reverting process. To date, the impacts diesel price uncertainty and transportation cost in the supply chain policy is not very well known. This report provides an analysis by altering the multiple variables impacting transportation costs such as the truck type, feature, environmental condition, route, weight and driving style. This analysis demonstrates how changes in truck variables impact the expected total cost thereby making it extremely critical for corporations to mitigate costs strategically.


2021 ◽  
Author(s):  
Amanpreet Singh Pabla

This project focuses on supply chain coordination model between vendor and buyer with emphasis on transportation cost. The objective is to minimize the supply chain cost which comprises of order cost, setup cost, vendor holding, buyer holding, shortage cost and finally transportation cost. The model developed in this project determines the optimal order size, number of shipments, and reorder point while simultaneously accounting for the uncertainties in diesel price. Uncertainty in price of diesel is also developed using mean reverting process. To date, the impacts diesel price uncertainty and transportation cost in the supply chain policy is not very well known. This report provides an analysis by altering the multiple variables impacting transportation costs such as the truck type, feature, environmental condition, route, weight and driving style. This analysis demonstrates how changes in truck variables impact the expected total cost thereby making it extremely critical for corporations to mitigate costs strategically.


2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Jian Liu ◽  
Yong He

This paper examines the optimal order decision in a supply chain when it faces uncertain demand and uncertain consumer returns. We build consumer returns model with decision-makers’ risk preference under mean-variance objective framework and discuss supply chain coordination problem under wholesale-price-only policy and the manufacturer’s buyback policy, respectively. We find that, with wholesale price policy, the supply chain cannot be coordinated whether the supply chain agents are risk-neutral or risk-averse. However, with buyback policy, the supply chain can be coordinated and the profit of the supply chain can be arbitrarily allocated between the manufacturer and the retailer. Through numerical examples, we illustrate the impact of stochastic consumer returns and the supply chain agents’ risk attitude on the optimal order decision.


2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Juan Yang ◽  
Haorui Liu ◽  
Xuedou Yu ◽  
Fenghua Xiao

In consideration of influence of loss, freshness, and secret retailer cost of products, how to handle emergency events during three-level supply chain is researched when market need is presumed to be a nonlinear function with retail price in fresh agricultural product market. Centralized and decentralized supply chain coordination models are studied based on asymmetric information. Optimal strategy of supply chain in dealing with retail price perturbation is caused by emergency events. The research reveals robustness for optimal production planning, wholesale price for distributors, wholesale price for retailers, and retail price of three-level supply chain about fresh agricultural products. The above four factors can keep constant within a certain perturbation of expectation costs for retailers because of emergency events; the conclusions are verified by numerical simulation. This paper also can be used for reference to the other related studies in how to coordinate the supply chain under asymmetric and punctual researches information response to disruptions.


Mathematics ◽  
2020 ◽  
Vol 8 (4) ◽  
pp. 586
Author(s):  
Wei Liu ◽  
Shiji Song ◽  
Ying Qiao ◽  
Han Zhao

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.


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