A computational approach to economic production quantity model for perishable products with backordering shortage and stock-dependent demand

Mokhtari, Hadi; Naimi-Sadigh, Ali; Salmasnia, Ali

doi:10.24200/sci.2017.4300

Cited by 12 publications

(10 citation statements)

References 36 publications

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“…A dynamic version of the lot-sizing problem also appeared [18]. The extensions of the EOQ grew exponentially, leading to EOQ with multiple setups costs [19], a present value formulation [20], a stochastic version [21], temporary one-time discounts [22], an EOQ with learning [23], EOQ models with nonlinear holding costs [24], deteriorating items [25{28], supplier credits [29], imperfect quality [30,31], recycling [32{34], EOQ for reverse logistics environments [35,36], and partial and full backordering [37,38] to mention just a few.…”

Section: Theoretical Framework 21 Existing Work On Eoq Inventory Momentioning

confidence: 99%

Inventory model optimization revisited: Understanding service inventories to improve performance

et al. 2018

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Services are becoming increasingly important in the modern economy for both service and manufacturing rms; however, the inventory literature is focused mainly on physical goods and, thus, only few studies have considered services in optimization. Further to that, the traditional service management literature relies on an extremely narrow de nition of inventory that excludes services because they are perishable. Thus, there is a lack of research on possible links between inventory optimization and service management. However, according to a new service inventory approach, business components such as tasks or information, as di erent from physical goods, can be performed and stored in anticipation of service demand as a form of service inventory, that is, inventorying by anticipation rather than delaying the service. This paper aims to contribute to this lack of research by proposing a service inventory optimization model that integrates a service orientation to optimize tasks and information to be performed in advance. In contrast with the traditional inventory models where the objective is to optimize physical items, in this approach, physical products (whenever included) constitute only mechanisms for service provision. This service inventory model contributes to the optimization of the quantity of tasks or information to be anticipated and, thus, provides customers with a number of bene ts.

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Section: Theoretical Framework 21 Existing Work On Eoq Inventory Momentioning

confidence: 99%

Inventory model optimization revisited: Understanding service inventories to improve performance

et al. 2018

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“…Moreover, Al-Salamah [11] suggested an EPQ model with quality control process where the items are subjected to destructive or nondestructive inspection. Mokhtari et al [12] proposed an EPQ model for perishable products with shortage and stock-dependent demand. Mokhtari and Rezvan [13] studied an EPQ model for multi-buyers and multiproducts under partial backordering.…”

Section: Introductionmentioning

confidence: 99%

Extended Economic Production Quantity Models with Preventive Maintenance

Mokhtari

Asadkhani

2019

Scientia Iranica

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“…Lot size problem for perishable products provides tactical decision playing an important role for the performance of closed loop supply chain network and it also facilitates towards competitive advantages of all the partners of SC network [9]. This decision also affects the decision of strategic and operational level and thus, the decision maker always keeps in mind the complexity of lot size problem for perishable product while settling other issues of SC network [10].…”

Section: Introductionmentioning

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 computational approach to economic production quantity model for perishable products with backordering shortage and stock-dependent demand

Cited by 12 publications

References 36 publications

Inventory model optimization revisited: Understanding service inventories to improve performance

Inventory model optimization revisited: Understanding service inventories to improve performance

Extended Economic Production Quantity Models with Preventive Maintenance

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

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