Journal ArticleDOI
A manufacturing-oriented supply chain model for imperfect quality with inspection errors, stochastic demand under rework and shortages
Shilpi Pal,G. S. Mahapatra +1 more
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TLDR
Numerical simulation is presented to provide important managerial insights and the integrated total cost with respect to production rate of manufacturer and the time when the item finished at retailer end is optimized.About:
This article is published in Computers & Industrial Engineering.The article was published on 2017-04-01. It has received 63 citations till now. The article focuses on the topics: Supply chain.read more
Citations
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A dynamic perspective on the key drivers of innovation-led lean approaches to achieve sustainability in manufacturing supply chain
TL;DR: Wang et al. as mentioned in this paper employed fuzzy logic and Technique for Order Performance by Similarity to Ideal Solution (Fuzzy TOPSIS) to prioritize the key drivers of innovation-led lean approaches to achieve sustainability in the manufacturing supply chain based on the evaluations of experts in the Chinese electronics sector.
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The effect of human errors on an integrated stochastic supply chain model with setup cost reduction and backorder price discount
TL;DR: This study develops an integrated vendor–buyer inventory model for a supply chain where quality issues and human error affect its coordination.
Journal ArticleDOI
A new approach to deal with learning in inspection in an integrated vendor-buyer model with imperfect production process
Oshmita Dey,Bibhas C. Giri +1 more
TL;DR: The expected total cost per unit time of the integrated system is derived and a solution procedure is suggested to determine the optimal number of shipments and shipment size of the vendor.
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A modified firefly algorithm for optimizing a multi stage supply chain network with stochastic demand and fuzzy production capacity
TL;DR: A novel heuristic based on firefly algorithm (FA) called selective fireflies algorithm (SFA) to solve the large sized problems of multi stage production–distribution planning under uncertain environment is presented.
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A cloudy fuzzy economic order quantity model for imperfect-quality items with allowable proportionate discounts
TL;DR: To nullify the issues of non-random uncertainties of demand rate in business scenario, cloudy fuzzy method has been utilized here and numerical study reveals that cloud model along with its new defuzzification methods can give maximum profit of the model all the time instead of deterministic ones.
References
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Journal ArticleDOI
A joint economic-lot-size model for purchaser and vendor
TL;DR: In this article, a joint economic-lot-size model for a special case where a vendor produces to order for a purchaser on a lot-for-lot basis under deterministic conditions is developed.
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Economic production quantity model for items with imperfect quality
TL;DR: In this article, the authors extended the traditional economic production quantity model by accounting for imperfect quality items when using the EPQ/EOQ formulae, and considered the issue that poor-quality items are sold as a single batch by the end of the 100% screening process.
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An integrated inventory model for a single supplier-single customer problem
TL;DR: In this article, the method given in this paper is typically applicable to those inventory problems where a product is procured by a single customer from a single supplier and an example has been solved to illustrate the method.
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The Stabilizing Effect of Inventory in Supply Chains
TL;DR: A hierarchical model framework is presented for the analysis of the stabilizing effect of inventories in multiechelon manufacturing/distribution supply chains and defines sufficient conditions for the existence of stabilization and relates these conditions to the optimality of myopic control policies.
Journal ArticleDOI
Production lot sizing with the reworking of imperfect quality items produced
TL;DR: In this article, the effect of imperfect quality items on the finite production model was studied. And the optimal operating policy that minimizes the total inventory cost per unit time was derived where shortages are allowed and backordered.