Constrained Stochastic Inventory Control Models for Multi-Item with Variable Demand
نویسندگان
چکیده
Constrained multi-item inventory system with variable demands are considered. The demand rates of five selected - Cowbell, Milo, SMA, Cerelac and Golden Morn were modeled as Weibull, Normal Lognormal probability distributions respectively the aid chi-squared multinomial goodness-of-fit test. respective estimated location parameters: 491.55, 536.92, 10.5, 2.1926 5.3103 used basis probabilistic models to obtain dynamic EOQ for each item under constraint subject Kuhn, Karush Tucker (KKT) conditions against use simple averages in deterministic models. optimal values these constraints: available warehouse space (124sq.ft), specified level (94 units), limited capital (76,671.52 naira) number orders (1/month) obtained using establish constraints level/capacity order avoid shortage or excess stock.
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ژورنال
عنوان ژورنال: Asian Journal of Probability and Statistics
سال: 2022
ISSN: ['2582-0230']
DOI: https://doi.org/10.9734/ajpas/2022/v20i2415