A simple solution procedure to solve the multi-delivery policy into economic production lot size problem with partial rework

Chung, Kun‐Jen; Ting, Pin‐Shou; Cárdenas–Barrón, Leopoldo Eduardo

doi:10.24200/sci.2017.4484

Cited by 5 publications

(4 citation statements)

References 5 publications

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“…[46] studied replenishment and pricing strategies for a defective process with paramount rework and various deliveries. [47] solved the multi-delivery lot-sizing dilemma with a partial rework. [6] proposed a lot-sizing model for a production system with back-ordering and outsourcing rework.…”

Section: Reworkmentioning

confidence: 99%

An Optimal Two-level Supply Chain Model for Small and Medium-sized Enterprises with a rework for New Products and Price-Dependent Demand

2020

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Today, the advent of new technologies, globalization of markets, customers' varied needs, and increasingly fierce competition, are making SMEs seek to improve engagement with their suppliers, and cost management practices in order to survive. SMEs clearly need to focus on the interests of the entire supply chain by enacting win-win policies. In this study, we investigate a two-level inventory model featuring a manufacturer and a buyer in the competitive market with the policy of producing new products. Imperfect quality products and the capacity to rework are also considered in the model. In other words, because of the competitive nature of the market, any increase in price leads to a decrease in demand. The mathematical model is proposed over two scenarios: a scenario where shortage can occur, and one with no possibility of shortage. The objective function of the mathematical model revolves around the central goal of maximizing the total profit of the supply chain considering both independent and joint optimization by the supply chain members. A new algorithm is proposed to solve the mathematical model whose applicability is evaluated by giving a numerical example to the analysis software MATLAB. The results are analyzed and discussed using a sensitivity analysis approach.

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Section: Reworkmentioning

confidence: 99%

An Optimal Two-level Supply Chain Model for Small and Medium-sized Enterprises with a rework for New Products and Price-Dependent Demand

2020

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“…Wang et al [41] also proposed an optimal order quantity model, taking into account the screening constraints. Jaggi et al [42], Moussawi-Haidar et al [43], Liao [44], Pal et al [45], Shah et al [46], Sekar and Uthayakumar [47], Benkherouf et al [48], Chen [49], Sha ee-Gol et al [50], Jawla and Singh [51], C ardenas-Barr on et al [52], Nobil et al [53], Chung et al [54], and Nobil et al [55] have recently explored the area of inventory management by employing various rework scenarios.…”

Section: Motivationmentioning

confidence: 99%

Investigating the effect of learning in set-up cost for imperfect production systems by utilizing two-way inspection plan for rework under screening constraints

et al. 2019

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In the industrial world of today, a growing need for the advancement and improvement of the organizations' operations is felt. Learning regarded as an inherent property is time-dependent and comes with experience. In view of this, the present study considers the process of learning for an imperfect production system in order to contribute to reducing the setup cost with the level of maturity gained, hence bringing positive results for organizations. Due to machine disturbances/malfunctions, defectives were manufactured with a known probability density function. To satisfy the demand for good products only, the manufacturer invested in a two-way inspection process with multiple screening constraints. The rst inspection misclassi ed some of the items and delivered inaccuracies called Type-I and Type-II errors. The loss resulting from inspection at the rst stage was e ciently managed through the second inspection, which was presumed to be error-free. The study mutually optimized the production backordering quantities in order to maximize the expected total pro t per unit time. Numerical analysis and detailed sensitivity analysis were carried out to validate the hypothesis and further cater for some valuable implications.

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“…A multi objective close loop sustainable SC network model based on logistic discount supposition was formulated by Fathollahi-Fard and Hajiaghaei-Keshteli [7]. Since 1990s, researchers have shown that discount available due to fleet selection will decrease the price of perishable product at the hand of end customer, by decreasing the logistic cost of manufacturers [51][52].…”

Section: Fleet Selectionmentioning

confidence: 99%

A holistic framework for lot sizing problem in fast-moving perishable products

Sinha

Anand

2018

Scientia Iranica

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One of the major challenges being faced by manufacturing companies today is the issue of addressing various aspects of perishable products in a supply chain environment. To address this issue, the integrated lot size problem for a perishable product has been investigated in the present work. The problem is modeled as a single vendor multiple buyer system. A variant of the truckload discount scheme is applied and the proposed model is formulated as a mixed integer program (MIP). The traditional warehouses are replaced by 'cross-docks' and situations in which, cross-docking would be more beneficial are highlighted. The problem of fleet selection is also addressed and various strategies to minimize the vendor cost are also highlighted for centralized and decentralized supply chains.Sensitivity analysis is then carried out on various input parameters such as setup cost at plant, variable transportation cost, fixed transportation cost, setup cost per order, holding cost and, lost cost, which underscores the significant impact of economies of scale in transportation on the total supply chain cost.Analysis of lead time-cost trade-off reveals that alternate modes of transportation could be explored, which significantly reduces the lead time of transportation, thereby minimizing the total supply chain cost.towards sustainability in the global competitive environment [2]. In the current times, the concept of SC network has been shifting from traditional SC environment. Nowadays, SC is an integral system of raw materials, material procurement, suppliers, manufacturing processes, assembly, dispatch, logistics, inventory, cross-docks, warehouses, end customers and, finally recycling of the product [3]. The SC environment is also defined as an effective management of all components / partners related to SC network which include transportation and replenishment of raw materials either inside the manufacturing shop floor or shipment of finished goods along with transportation decisions (mode of shipment, lot size and, fleet selection) for yielding competitive advantages for all individual components / partners [4-5] . SC network design mainly consists of three levels namely strategic, tactical and, operational decisions [6]. Strategic decisions mainly emphasize on production, assembly and, distribution to fulfill the demand of end customers. Tactical decisions describes the management policy for flow of materials, decisions related to various production level, assembly section, inventory control and, lot sizes. Decisions on operational level deals with scheduling of different operations of SC network for making responsive SC design including coordination in logistic network for assuring on time delivery of the product to the end customer at low cost with least environmental impact [7-8]. However, logistic network which is a part of green supply chain network is one of the major challenging tasks for every manufacturing industry.Moreover, perishability is one of the key issues in a supply chain environment. Integration of product...

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A simple solution procedure to solve the multi-delivery policy into economic production lot size problem with partial rework

Cited by 5 publications

References 5 publications

An Optimal Two-level Supply Chain Model for Small and Medium-sized Enterprises with a rework for New Products and Price-Dependent Demand

An Optimal Two-level Supply Chain Model for Small and Medium-sized Enterprises with a rework for New Products and Price-Dependent Demand

Investigating the effect of learning in set-up cost for imperfect production systems by utilizing two-way inspection plan for rework under screening constraints

A holistic framework for lot sizing problem in fast-moving perishable products

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