Abstract
The daily demand of perishable items in the market is very volatile. The demand of perishable items is assumed lognormal distribution. The parameters of lognormal distribution are uncertain. Hence, fuzzy triangular numbers are used to overcome such problems. Single-period (newsboy) inventory model is used to obtain optimal order quantity, retailer profit, manufacturer profit and total supply chain profit under decentralized supply chain. At the end of the day, most of the remaining items are rotted. The data is collected from Koregaon Park, Pune Market, India, to study the methodology.
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Bhosale, M.R., Latpate, R., Gitte, S. (2022). Fuzzy Supply Chain Newsboy Problem Under Lognormal Distributed Demand for Bakery Products. In: Hanagal, D.D., Latpate, R.V., Chandra, G. (eds) Applied Statistical Methods. ISGES 2020. Springer Proceedings in Mathematics & Statistics, vol 380. Springer, Singapore. https://doi.org/10.1007/978-981-16-7932-2_5
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