Multi-Location Transshipment Problem with Capacitated Production and Lost Sales

Özdemir,; Yucesan,; Herer,

doi:10.1109/wsc.2006.322915

Cited by 5 publications

(3 citation statements)

References 23 publications

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“…Companies tend to carry inventory in practice, to reduce their total cost and improve their customer service. However, information sharing also enabling inventory sharing among locations by transshipments has been less frequent [9][10]. For providing an effective mechanism, transshipments are being made between stocking locations at the same echelon based on their available inventories and their distances to increase the efficiency of the network.…”

Section: Introductionmentioning

confidence: 99%

Simulation-based lateral transshipment policy optimization for s, S inventory control problem in a single-echelon supply chain network

Ekren

Arslan²

2019

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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Since it affects the performance of whole supply chain significantly, definition of correct inventory control policy in a supply chain is critical. Recent technological development enabled real time visibility of a supply network by horizontal integration of each node in a supply network. By this opportunity, inventory sharing among stocking locations is also possible in the effort of cost minimization in supply chain management. Hence, lateral transshipment gained popularity and studies seeking the best lateral-transshipment policy is still under research. In this study, we aim to compare different lateral-transshipment policies for an s, S inventory control problem for a single-echelon supply chain network system. In this work, we consider a supply network with three stocking locations which may perform lateral transshipment among them when backorder takes place. We develop the simulation models of the systems in ARENA 14.5 commercial software and compare the performance of the policies by minimizing the total cost under a pre-defined fill rate constraint by using an optimization tool, OptQuest, integrated in that software. The results show that lateral transshipment works well compared to the scenario when there is no lateral transshipment policy in the network.

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Section: Introductionmentioning

confidence: 99%

Simulation-based lateral transshipment policy optimization for s, S inventory control problem in a single-echelon supply chain network

Ekren

Arslan²

2019

Int. J. Optim. Control, Theor. Appl. (IJOCTA)

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“…Nonås et al (2007) [8] modeled and analyzed the single-cycle centralized control distributed inventory system to obtain optimal inventory and transshipment strategies for three or four inventory points. The problem of transshipment to distributed inventory systems is also Herer & Tzur (2003) [9], Özdemir (2006) [10], Olsson (2009) [11].…”

Section: Literature Reviewmentioning

confidence: 99%

Research on Order-Inventory Transshipment Mechanism in Dual-Channel Distribution Supply Chain

Shi¹

2019

OJBM

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The development of e-commerce has prompted traditional enterprises to open up online channels and form a dual-channel sales model. The increase in the number of channels has led to an increase in the number of orders, so how to properly and effectively match the order with the inventory will test the operational capabilities of the enterprise. Based on this practical problem, this thesis considers a two-echelon distribution system with online and offline dual-channel sales, which consists of one group node (G) and multiple distribution nodes (D). When online orders are not fully satisfied, we propose an operation mechanism of transporting inventory to online orders through offline inventory. An optimal decision model is constructed by using the Analysis Target Cascading (ATC). Finally, the model is simulated and analyzed with a specific case. The results show that the ATC method and the transshipment mechanism are effective.

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“…Garg and Prakash (1985) [2] studied time minimizing transshipment problem. Afterwards, multi-location transshipment problem with capacitated production and lost sales were studied by Ozdemir (2006) [3]. The concept of fuzzy numbers and arithmetic operations with these numbers were first introduced and investigated by Zadeh [4].In [5] Nagoor Gani et alsolving Transportation Problem using Fuzzy Number and, Nagoor Gani et al [6,7]presented a two-stage cost minimizing fuzzy transportation problem in which supplies and demands are trapezoidal fuzzy numbers.…”

Section: Introductionmentioning

confidence: 99%