Optimal buffer inventory and inspection errors in an imperfect production system with preventive maintenance

Sett, Bimal Kumar; Sarkar, Sourav; Sarkar, Biswajit

doi:10.1007/s00170-016-9359-9

Cited by 40 publications

(20 citation statements)

References 33 publications

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“…An improved way to calculate imperfect items is given by Kim et al [56], and Sett et al [57] determined optimal buffer inventory in imperfect production system. Sarkar et al [58] studied warranty, optimal run time with inspection errors in the imperfect production system, and Kang et al [59] discussed optimal ordering policies for the imperfect production system.…”

Section: Literature Reviewmentioning

confidence: 99%

Joint Inventory and Pricing Policy for an Online to Offline Closed-Loop Supply Chain Model with Random Defective Rate and Returnable Transport Items

2019

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Environmental deterioration is one of the current hot topics of the business world. To cope with the negative environmental impacts of corporate activities, researchers introduced the concept of closed-loop supply chain (CLSC) management and remanufacturing. This paper studies joint inventory and pricing decisions in a multi-echelon CLSC model that considers online to offline (O2O) business strategy. An imperfect production process is examined with a random defective rate that follows a probability distribution. The results show that the O2O channel increases the profit of the system. For the defective rate, three different distributions are considered and three examples are solved. The results of the three examples conclude that the highest profit is generated when the defective rate follows a uniform distribution. Furthermore, based on the salvage value of defective items, two cases were studied. Results and sensitivity analysis show that the increase in defective rate does not reduce total profit in every situation, as perceived by the existing literature. Sensitivity analysis and numerical examples are given to show robustness of the model and draw important managerial insights.

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Section: Literature Reviewmentioning

confidence: 99%

Joint Inventory and Pricing Policy for an Online to Offline Closed-Loop Supply Chain Model with Random Defective Rate and Returnable Transport Items

2019

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“…Sarkar and Saren [35] developed EPQ models that considered warranty cost and the possibility of inspection errors due to product inspection policy. Sett et al [36] investigated an imperfect production system with preventive maintenance to obtain the optimal buffer inventory and inspection policy. Recently, Cunha et al [37] developed an EPQ model considering a discount price for imperfect quality items to reduce the total production cost.…”

Section: Economic Production Quantity With Defective Item and Warrantymentioning

confidence: 99%

Production-Inventory System for Deteriorating Items with Machine Breakdown, Inspection, and Partial Backordering

et al. 2019

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This study considers the effects of a machine breakdown, inspection, and partial backordering for deteriorating items. Most industries try to reduce facility unavailability by implementing a regular inspection and preventive maintenance since there is a possibility that some machines will breakdown during the production process. Moreover, an emergency purchase policy can be provided for quick response to customer’s backorder. The system also produces imperfect items with different rates before and after the inspection. Rework process and post-sales warranty are launched for the defective items. Unlike previous studies, we applied a fixed-point approach and renewal reward theorem to solve the deteriorating production-inventory model while considering machine breakdown, inspection, and partial backordering. A case example and sensitivity analysis are provided. The sensitivity analysis shows the important parameters that should be considered in designing the inspection plan and the replenishment policy when facility unavailability and imperfect items exist.

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“…In this direction, the first few researchers who came up with human errors in the inspection planning were Rauf et al [34], Sarkar and Saren [35], and Duffua and Khan [36]. In recent years, Khan et al [37] and Sett et al [38] threw light on the inspection errors, and constructed models by considering imperfect quality without and with the occurrence of shortages, respectively. Recently, Hsu and Hsu [39] developed an EOQ model for imperfect quality items, along with screening errors and fully backlogged shortages and sales returns.…”

Section: Literature Overviewmentioning

confidence: 99%

Supply Chain with Customer-Based Two-Level Credit Policies under an Imperfect Quality Environment

et al. 2018

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The present model develops a three-echelon supply chain, in which the manufacturer offers full permissible delay to the whole seller, while the latter, in turn, adopts distinct trade credit policies for his subsequent downstream retailers. The type of credit policy being offered to the retailers is decided on the basis of their past profiles. Hence, the whole seller puts forth full and partial permissible delays to his old and new retailers respectively. This study considers bad debts from the portion of new retailers who fail to make up for the delayed part of the partial payment. The analysis shows that it is beneficial for the whole seller to make shorter contracts, particularly with new retailers, along with the fetching of a higher fraction of initial purchase cost from them. In addition to the above-described scenario, the lot received by the whole seller from the manufacturer is not perfect, and it contains some defects for which he employs an inspection process before selling the items to the retailers. In order to make the study more realistic, Type-I, as well as Type-II misclassification errors, and the case of out-of-stock are considered. The impact of Type-I error has been found to be crucial in the study. The present paper determines the optimal policy for the whole seller by maximizing the expected total profit per unit time. For the optimality of the solution, theoretical results are provided. Finally, a numerical example and a sensitivity analysis are done to validate the model.

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Optimal buffer inventory and inspection errors in an imperfect production system with preventive maintenance

Cited by 40 publications

References 33 publications

Joint Inventory and Pricing Policy for an Online to Offline Closed-Loop Supply Chain Model with Random Defective Rate and Returnable Transport Items

Joint Inventory and Pricing Policy for an Online to Offline Closed-Loop Supply Chain Model with Random Defective Rate and Returnable Transport Items

Production-Inventory System for Deteriorating Items with Machine Breakdown, Inspection, and Partial Backordering

Supply Chain with Customer-Based Two-Level Credit Policies under an Imperfect Quality Environment

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