A supply chain model with vendor-managed inventory, consignment, and quality inspection errors

2017 ◽  
Vol 55 (19) ◽  
pp. 5706-5727 ◽  
Author(s):  
Hesham K. Alfares ◽  
Ahmed M. Attia
Keyword(s):  
Supply Chain ◽  
Chain Model ◽  
Quality Inspection ◽  
Vendor Managed Inventory ◽  
Inspection Errors ◽  
Supply Chain Model

An integrated supply chain model with errors in quality inspection and learning in production

Omega ◽  
2014 ◽  
Vol 42 (1) ◽  
pp. 16-24 ◽  
Author(s):  
Mehmood Khan ◽  
Mohamad Y. Jaber ◽  
Abdul-Rahim Ahmad
Keyword(s):  
Supply Chain ◽  
Chain Model ◽  
Quality Inspection ◽  
Supply Chain Model ◽  
Integrated Supply Chain

Two-echelon imperfect production fuzzy supply chain model for reliability dependent demand with probabilistic deterioration and rework

2021 ◽  
pp. 1-15
Author(s):  
Sudip Adak ◽  
G.S. Mahapatra
Keyword(s):  
Supply Chain ◽  
Production Rate ◽  
Production Cost ◽  
Idle Time ◽  
Chain Model ◽  
Specific Time ◽  
Defective Items ◽  
Imperfect Production ◽  
Supply Chain Model ◽  
Dependent Demand

This paper develops a fuzzy two-layer supply chain for manufacturer and retailer with defective and non-defective types of products. The manufacturer produces up to a specific time, including faulty and non-defective items, and after the screening, the non-defective item sends to the retailer. The retailer’s strategy is to do the screening of items received from the manufacturer; subsequently, the perfect quality items are used to fulfill the customer’s demand, and the defective items are reworked. The retailer considers that customer demand is time and reliability dependent. The supply chain considers probabilistic deterioration for the manufacturer and retailers along with the strategies such as production rate, unit production cost, cost of idle time of manufacturer, screening, rework, etc. The optimum average profit of the integrated model is evaluated for both the cases crisp and fuzzy environments. Managerial insights and the effect of changes in the parameters’ values on the optimal inventory policy under fuzziness are presented.

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