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Economic order quantity model for new product under fuzzy environment where demand follows innovation diffusion process with salvage value

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dc.contributor.author Chanda, Udayan
dc.date.accessioned 2023-05-01T07:05:02Z
dc.date.available 2023-05-01T07:05:02Z
dc.date.issued 2016-05
dc.identifier.uri https://www.inderscienceonline.com/doi/abs/10.1504/IJPM.2016.076306
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/10601
dc.description.abstract Diffusion 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.iso en en_US
dc.publisher Inder Science en_US
dc.subject Management en_US
dc.subject Innovation diffusion en_US
dc.subject Economic Order Quantity (EOQ) en_US
dc.subject Trapezoidal membership function en_US
dc.subject Fuzzy variables en_US
dc.subject Function principles en_US
dc.subject Salvage value en_US
dc.subject Inventory modelling en_US
dc.subject Fuzzy logic en_US
dc.title Economic order quantity model for new product under fuzzy environment where demand follows innovation diffusion process with salvage value en_US
dc.type Article en_US


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