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Corporate social responsibility and revenue sharing policy for a dual-channel buyback contract
Biswajit Sarkar,Rekha Guchhait 대한산업공학회 2021 대한산업공학회 춘계학술대회논문집 Vol.2021 No.6
Industries nowadays are participating in social development to improve the standard of living. There are several criteria to balance economic growth and social development. Besides, the pattern of business is changing every day based on the circumstance. The use of online channels among people is increasing gradually. A manufacturer opens both possibilities of the traditional channel as well as the online channel. In the traditional channel, the manufacturer is in a buyback contract with the retailer. The manufacturer is in direct contact with customers through the online channel. The manufacturer uses returned products from the retailer for social welfare through corporate social responsibility. For the coordination business, the manufacturer shares revenue with the retailer. Stackelberg’s game strategy is used to find the leader and follower of the supply chain in the non-coordination case. The classical optimization technique finds optimal solutions. An example is given to validate the mathematical model numerically.
Manufacturing quality improvement and setup cost reduction in a vendor-buyer supply chain model
Majumder, Arunava,Guchhait, Rekha,Sarkar, Biswajit Inderscience Enterprises Ltd. 2017 European journal of industrial engineering Vol.11 No.5
<P>Quality improvement and setup cost reduction of any production system are endless procedure. Customer's demand is always intended to have the best quality product and the industries always try to improve the quality of products. This paper develops a two-echelon supply chain model with quality improvement of products and setup cost reduction under controllable lead time. The lead time demand follows a normal distribution and in the second case, it does not consider any specific distribution except a mean and standard deviation. Both models are solved analytically to obtain global solution. Two improved iterative algorithms are developed in order to obtain the optimal results of decision variables numerically to minimise the total system cost. The expected value of additional information is calculated to show the financial effect for collecting the information about lead time demand distribution. Some numerical examples and sensitivity analysis are given to illustrate the model.</P>