This paper develops an integrated fuzzy two-layer supply chain for manufacturersand retailers with defective and non-defective types of products. The manufacturerproduces up to a specific time, including both faulty a...This paper develops an integrated fuzzy two-layer supply chain for manufacturersand retailers with defective and non-defective types of products. The manufacturerproduces up to a specific time, including both faulty and non-defective items, andpost-screening only the non-defective item sends to the retailer. The strategy of theretailer is to do the screening of items received from the manufacturer.Subsequently, the perfect quality items use to fulfill the demand of thecustomer, and the defective items are reworked. The retailer considers thatcustomer demand is time and reliability dependent. The proposed supply chainconsiders probabilistic deterioration for the manufacturer and retailers. Theoptimum solution of the given model is evaluated for both the cases of crispand fuzzy environments on the strategies such as production rate, unitproduction cost, idle time, screening, rework, etc. Managerial insights and theeffect of parameters on the optimal inventory under fuzziness are presented.展开更多
文摘This paper develops an integrated fuzzy two-layer supply chain for manufacturersand retailers with defective and non-defective types of products. The manufacturerproduces up to a specific time, including both faulty and non-defective items, andpost-screening only the non-defective item sends to the retailer. The strategy of theretailer is to do the screening of items received from the manufacturer.Subsequently, the perfect quality items use to fulfill the demand of thecustomer, and the defective items are reworked. The retailer considers thatcustomer demand is time and reliability dependent. The proposed supply chainconsiders probabilistic deterioration for the manufacturer and retailers. Theoptimum solution of the given model is evaluated for both the cases of crispand fuzzy environments on the strategies such as production rate, unitproduction cost, idle time, screening, rework, etc. Managerial insights and theeffect of parameters on the optimal inventory under fuzziness are presented.
