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dc.contributor.authorChanda, Udayan-
dc.date.accessioned2023-05-01T07:05:02Z-
dc.date.available2023-05-01T07:05:02Z-
dc.date.issued2016-05-
dc.identifier.urihttps://www.inderscienceonline.com/doi/abs/10.1504/IJPM.2016.076306-
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10601-
dc.description.abstractDiffusion pattern of new products have been well-documented in literature but research on integration of growth model and inventory policies are still scarce. Globalisation and technological breakthroughs' are creating significant risks of obsolescence at the product level. This calls for integration of diffusion dynamics in formulation of economic ordering policies for technology products. Unfortunately, most of the diffusion models available in literature do not recognise uncertainty in diffusion parameters, making it difficult to use in inventory-models. Here, we propose an economic order quantity model using fuzzy logic for new product where demand rate follows innovation diffusion process. Effect of deterioration is incorporated by considering the salvage value in the cost component. The comprehensive sensitivity analysis with respect to different parameters has also been performed to illustrate the effectiveness and behaviour of the model.en_US
dc.language.isoenen_US
dc.publisherInder Scienceen_US
dc.subjectManagementen_US
dc.subjectInnovation diffusionen_US
dc.subjectEconomic Order Quantity (EOQ)en_US
dc.subjectTrapezoidal membership functionen_US
dc.subjectFuzzy variablesen_US
dc.subjectFunction principlesen_US
dc.subjectSalvage valueen_US
dc.subjectInventory modellingen_US
dc.subjectFuzzy logicen_US
dc.titleEconomic order quantity model for new product under fuzzy environment where demand follows innovation diffusion process with salvage valueen_US
dc.typeArticleen_US
Appears in Collections:Department of Management

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