Titlebook: Optimization and Inventory Management; Nita H. Shah,Mandeep Mittal Book 2020 The Editor(s) (if applicable) and The Author(s), under exclus

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A Production Reliable Model for Imperfect Items with Random Machine Breakdown Under Learning and Fohift from an “in-control” state to an “out-of-control” state but also may fail at any random point in time during production run time. Model is developed for multi-items with imperfect quality by considering the situation of random machine failure over infinite planning horizon. Demand rate is assum

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Inventory Policies with Development Cost for Imperfect Production and Price-Stock Reliability-Depeno it undergoes a production process which is imperfect including manufacturing of perfect as well as imperfect quality products. As such, each production firm believes in the production of perfect quality goods but because of various uncontrollable barrier factors like machinery, labor, technology,

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Imperfect Quality Item Inventory Models Considering Carbon Emissions,nhouse gas emissions is influenced by inventory decisions such as delivery quantity and delivery frequencies. This chapter focuses on a supply chain system which contains a percentage of imperfect quality items in its delivered lot; we also consider carbon emission costs under a carbon tax policy. P

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Joint Effects of Carbon Emission, Deterioration, and Multi-stage Inspection Policy in an Integrated arrive some defect products in the system. To control product quality, the manufacturer inspects all the products to separate the defective products. After the first-stage inspection, the defective products are reworked at a fixed cost and again inspection takes place for the reworked products in t

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,EOQ Model Under Discounted Partial Advance—Partial Trade Credit Policy with Price-Dependent Demand, in the presence of credit period when the demand rate is price sensitive. The lengths of the credit period, advance period, as well as rate of discount on advance payment, are specified by the supplier. Conditions for unique optimal values of the decision variables, namely, the retailer’s selling p

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