Inventory Systems in Fuzzy Environment - Tripathy, P. K.;Sukla, Sujata
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It systematically analyses the fuzzy inventory models that are based on Economic Order Quantity systems to find out the different fuzzy characteristics involved in the inventory system in capturing the uncertainty. It provides the best inventory management techniques to effectively deal with complex challenges faced by business organisations and to maintain a competitive position in the marketplace. This aids the business manager, decision maker and supply chain designer in choosing the most effective inventory policy for acquiring optimal solution when the cost parameters are uncertain in…mehr

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Produktbeschreibung
It systematically analyses the fuzzy inventory models that are based on Economic Order Quantity systems to find out the different fuzzy characteristics involved in the inventory system in capturing the uncertainty. It provides the best inventory management techniques to effectively deal with complex challenges faced by business organisations and to maintain a competitive position in the marketplace. This aids the business manager, decision maker and supply chain designer in choosing the most effective inventory policy for acquiring optimal solution when the cost parameters are uncertain in nature. Different aspects associated with inventory model have been employed to build up the models and the behavior of optimal lot size and optimal total profit are examined to make the best strategy.
Autorenporträt
Prof. P. K. Tripathy, eminent Professor of Statistics, who received prestigious Chandrasekharan Award. He is the author of several books and has published 100 research papers in reputed journals. He has produced 18 Doctoral students. Dr. Sujata Sukla is a dedicated researcher in this area. She has published 7 research papers in esteemed journals.