Applying queuing approach for a stochastic location-inventory problem with two different mean inventory considerations

Sadjadi, Seyed Jafar; Makui, Ahmad; Dehghani, Ehsan; Pourmohammad, Magsoud

doi:10.1016/j.apm.2015.06.010

Cited by 46 publications

(19 citation statements)

References 52 publications

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“…However, in the last research, the solution approach has been changed using capacity constraints instead of Roundy's "power of two" inventory policy and then the model is linearized using piecewise linear approximation (Diabat, 2016). Sadjadi et al (2016) used queue theory to determine positive and negative inventory levels in a three-level supply chain model. Similarly, queue theory was used by Diabat et al (2017) in determining expected reorder point, inventory and lost sale with uncertain demand and uncertain lead time.…”

Section: Literature Reviewmentioning

confidence: 99%

A Multi Echelon Location-Inventory Model with Lateral Transshipment

Gholamian

Nasri

2019

OSCM: An Int. Journal

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In this research, a supply chain system consisting producer, distribution centers and retailers is modeled by considering lateral transshipment between distribution centers and also using echelon-based inventory system instead of independent inventory system. The model is developed in the form of mixed integer non-linear programming (MINLP) to minimize the total location, transportation, and inventory costs of the system. The model was solved using conic programming approach and validity was examined by comparing the developed model with the basic model (i.e. the model without the contributions) in several instances with different sizes of distributors and retailers. The results represent superiority of the developed model in computational time and objective value especially in medium and large-scale problems.

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Section: Literature Reviewmentioning

confidence: 99%

A Multi Echelon Location-Inventory Model with Lateral Transshipment

Gholamian

Nasri

2019

OSCM: An Int. Journal

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“…A mixed integer programming model was devised by Rabbani et al [22] to investigate the effect of the lease contract on inventory and pricing decisions. Sadjadi et al [23] examined a stochastic location-inventory problem and considered an (S − 1, S) inventory policy for opened DCs. They applied a queuing approach to obtain some characteristics of inventory policy and then formulated the problem using the acquired results.…”

Section: Location-inventorymentioning

confidence: 99%

“…Chen et al [28] presented a location-inventory problem regarding disruptions and assumed that facilities may fail independently with an equal probability. Last but not the least, Zhang et al [34] devised a discrete competitive [17] 2002 * * * [41] 2003 * * [42] 2005 * * * * [43] 2007 * * * [2] 2008 * * * * [18] 2010 * * * * [28] 2011 * * * * [44] 2012 * * * * [21] 2014 * * * [3] 2015 * * * [45] 2015 * * * * * [23] 2016 * * * * * Our work -* * * * * * * * facility location problem under facility failure patterns and developed a variable neighborhood decomposition search heuristic to solve their problem.…”

Section: Facility Disruptionmentioning

confidence: 99%

A hybrid Markov process-mathematical programming approach for joint location-inventory problem under supply disruptions

2018

Self Cite

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This paper introduces a joint location-inventory problem, in which facilities become temporarily unavailable. A hybrid approach based on the Markov process and mathematical programming techniques is presented to design the distribution network of a supply chain in an integrated manner. In the first phase, the Markov process derives some performance features of inventory policy. In the second phase, using outputs of the Markov process, the location-inventory problem is formulated as a mixed-integer nonlinear programming model. Moreover, a robust possibilistic programming approach is utilized, which is able to provide a more stable supply chain structure under almost all possible values of imprecise parameters. Since the proposed problem is complicated to solve by means of exact methods, we develop a simulated annealing algorithm in order to find near-optimal solutions in reasonable computational times. The obtained computational results reveal the efficiency and effectiveness of the proposed solution approach. Finally, some insights are provided and the performance of the proposed robust optimization approach is compared to traditional possibilistic chance constrained method.

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“…The time that takes to deliver a product for the ordered procurer is haphazard and a positive value. It leads to form a queue and inventory executive needs to monitor the waiting time to dispatch the product along with waiting ordered products, inventory size, product holding time and other factors to judge the system performance, to execute different strategies for ordered items [5][6][7]. An inventory management system handles a single inventory article to service the customer at a time in the service facility.…”

Section: Introductionmentioning

confidence: 99%

Performance Measures of Online Warehouse Service System with Replenishment Policy

Saritha¹,

Mamatha²,

Reddy³

2019

JESA

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In this work, we studied an inventory model with a single-component preservation system and the replenishment schedule as decision variables. The system has characteristics with three distinct states. The productive items are maintained in the warehouse, the items are serviced on demand of the customers, any defective items are to be serviced if it serviceable or discarded. The system is monitored periodical intervals, and the warehouse system is maintained with frequent observations and inspections. Based on the request of the customer the products are serviced. If any defective product is serviced then the customer has the right to the returned product with a new item or amount paid. The defective items that are returned from the customers re-entered into the service system after repair or discarded as scrap. The key intention of the paper is to minimize the optimization of cost, minimal time service, and effective stock of the warehouse. The produced results show that effective improvement with existing metrics. Finally, we formulated an inventory model for the stochastic optimal performance measures of various parameters.

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Applying queuing approach for a stochastic location-inventory problem with two different mean inventory considerations

Cited by 46 publications

References 52 publications

A Multi Echelon Location-Inventory Model with Lateral Transshipment

A Multi Echelon Location-Inventory Model with Lateral Transshipment

A hybrid Markov process-mathematical programming approach for joint location-inventory problem under supply disruptions

Performance Measures of Online Warehouse Service System with Replenishment Policy

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