Optimal batch quantity in a cleaner multi-stage lean production system with random defective rate

Tayyab, Muhammad; Sarkar, Biswajit

doi:10.1016/j.jclepro.2016.08.062

Cited by 87 publications

(44 citation statements)

References 75 publications

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“…Later, Sana [29] examined the production in an imperfect quality environment for a three-tier supply chain. Tayyab and Sarkar [36] extended this research direction with variable backorder rate under a multi-stage production system.…”

Section: Imperfect Quality Itemsmentioning

confidence: 99%

Inventory and pricing decisions for imperfect quality items with inspection errors, sales returns, and partial backorders under inflation

et al. 2020

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In this paper, an optimal replenishment inventory policy for imperfect quality items is presented with a selling price-dependent demand under inflationary conditions using a discounted cash flow (DCF) approach. Due to the presence of defectives in the system, all items go through a 100% inspection process. However, the screening process is also considered to be imperfect and involves errors, namely Type-I and Type-II. In addition, shortages are allowed and are partially backlogged. An optimal solution for the proposed model is derived by maximizing the expected profit function by jointly optimizing three decision variables: selling price, order quantity, and backorder level. To validate the theoretical results, a numerical example along with comprehensive sensitivity analysis is offered. The model has pertinence in industries like

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Section: Imperfect Quality Itemsmentioning

confidence: 99%

Inventory and pricing decisions for imperfect quality items with inspection errors, sales returns, and partial backorders under inflation

et al. 2020

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“…To meet the direction and requirements of lean and sustainable manufacturing, management of scraps and reworks are an important issue for manufacturing systems [40,41]. Inderfurth et al [42] proposed an inventory model to ensure that the defective items also produced commonly in same production facility.…”

Section: Literature Reviewmentioning

confidence: 99%

Minimum Quantity Lubrication and Carbon Footprint: A Step towards Sustainability

2017

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In today's world, there is an increasing awareness among consumers for demanding sustainable products. Several countries have already started working to create strategies for implementing sustainable manufacturing. Other countries are making efforts to access international markets and face intense market competitions in terms of sustainable status of products, which build a huge pressure on manufacturers to avail the concept of sustainable manufacturing. This paper proposes a manufacturing model to minimize total cost of manufacturing and carbon emissions with the effect of variable production quantity to provide sustainable manufacturing. Total cost of manufacturing includes fixed costs and variable costs with the addition of cost of minimum quantity lubrication and imperfect quality items. Minimum quantity lubrication system is an eco-friendly and sustainable, which reduces negative impact on environment and improves workers' safety. This study considers the real situation of imperfect products and proportion of it can be reworked at certain known rate. Numerical example and sensitivity analysis are given by using multiobjective genetic algorithm and goal attainment techniques to illustrate the practical applications of the proposed model.

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“…Wu et al [27] investigated the e ects of quality-guaranteed strategies on the optimal production quantity, wherein the manufacturer o ers free repairs for detective products. Tayyab and Sarkar [28] revisited an EPQ model with an imperfect multi-stage production system by considering a random defective rate. Related articles include studies by Khan et al [29], Sarkar [30], Hsu and Hsu [31], Hsu et al [32], Yu and Lin [33], Moussawi-Haidar et al [34], and their references.…”

Section: Introductionmentioning

confidence: 99%

Optimal Production and Ordering Strategies with Defective Items and Allowable Shortage under Two-part Trade Credit

2018

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Abstract. This study investigated a production-inventory model with defective items under a two-part trade credit, where the agreement of conditionally freight concession is considered in an integrated supply chain. It is assumed here that the retailer conducts the inspection process before selling incoming items. All the defective items are discovered, stored, and sold as a single batch to a secondary market at a decreased price. Furthermore, shortages are allowed and completely backlogged for the retailer. The purpose of this study is to determine the optimal number of shipments per production cycle for the supplier and the optimal length of time when there is no inventory shortage and replenishment cycle for the retailer, such that the total pro t function has a maximum value. In theoretical analysis, the existence and uniqueness of the optimal solutions are shown, and an algorithm is developed to nd the optimal solutions. Furthermore, numerical examples are presented to demonstrate the solution procedures, and a sensitivity analysis of the optimal solutions regarding all parameters is also carried out.

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Optimal batch quantity in a cleaner multi-stage lean production system with random defective rate

Cited by 87 publications

References 75 publications

Inventory and pricing decisions for imperfect quality items with inspection errors, sales returns, and partial backorders under inflation

Inventory and pricing decisions for imperfect quality items with inspection errors, sales returns, and partial backorders under inflation

Minimum Quantity Lubrication and Carbon Footprint: A Step towards Sustainability

Optimal Production and Ordering Strategies with Defective Items and Allowable Shortage under Two-part Trade Credit

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