A graph theory-based algorithm for a multi-echelon multi-period responsive supply chain network design with lateral-transshipments

Rabbani, Masoud; Sabbaghnia, Ali; Mobini, Mahdi; Razmi, Jafar

doi:10.1007/s12351-018-0425-y

Cited by 16 publications

(18 citation statements)

References 34 publications

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“…The main objective when designing a supply chain network is to reduce these conicts and increase the total revenue and/or decrease the total costs (Rabbani et al. 2018 ). A great deal of research in the scientific literature has been done to propose solutions and decision-support methods for problems related to the SCND.…”

Section: Literature Reviewmentioning

confidence: 99%

Collaborative hospital supply chain network design problem under uncertainty

et al. 2022

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Since 2016, hospitals in France have met to form Territorial Hospital Groups (THGs) in order to modernize their health care system. The main challenge is to allow an efficient logistics organization to adopt the new collaborative structure of the supply chain. In our work, we approach the concept of logistics pooling as a form of collaboration between hospitals in THGs. The aim is to pool and rationalize the storage of products in warehouses and optimize their distribution to care units while reducing logistics costs (transportation, storage, workforce, etc.). Besides, due to the unavailability and the incompleteness of data in real-world situations, several parameters embedded in supply chains could be imprecise or even uncertain. In this paper, a Fuzzy chance-constrained programming approach is developed based on possibility theory to solve a network design problem in a multi-supplier, multi-warehouse, and multi-commodity supply chain. The problem is designed as a minimum-cost flow graph and a linear programming optimization model is developed considering fuzzy demand. The objective is to meet the customers’ demand and nd the best allocation of products to warehouses. Different instances were generated based on realistic data from an existing territorial hospital group, and several tests were developed to reveal the benefits of collaboration and uncertainty handling.

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Section: Literature Reviewmentioning

confidence: 99%

Collaborative hospital supply chain network design problem under uncertainty

et al. 2022

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“…Our research focuses on the variant of the inventory routing model known as IRP-LT which is attracting increasing interest. Research on these models is very recent and growing, the best known are [11][12][13][14][15][16][17]. This work will be the subject of this section.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Rabbani et al, [15] studied a Supply Chain Network Design problem (SCND) able to meet lead-times directly and explicitly in a multi-echelon, multi-period network with recourse to LT if necessary. They felt that unmet customer demand was penalized.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the effects of Lead-Time variation and Lateral Transshipment insertion in a Supply Chain Network

Sakhri

Tlili

Korbaa

2021

Preprint

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In a supply chain, inventory is the single largest source of costs for a company. This is due to the various physical and informational activities that accompany inventory management, primarily the holding and transportation of inventory. Companies are looking to streamline these activities and minimize the associated costs. One of the most coveted models to jointly solve these two problems is the Inventory Routing Problem (IRP), which will be the focus of this study. This paper addresses the case of a deterministic replenishment demand in a distribution network consisting of a supplier and a number of customers to be served by a single vehicle over a finite planning horizon. We will first study the impact of increasing supplier lead times on network costs. Then, we will study the effects of the Lateral Transshipment (LT) technique on the overall network cost. A mathematical model is developed and solved by an exact method. The results obtained will show that LT is an effective tool capable of improving the total network cost and balancing the customers’ inventory level.

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“…Kumar and Kumar Singh (2017) investigated the major areas for research on coordination and responsiveness of SME SC. Transshipment (Zhang et al , 2017; Aslani and Heydari, 2019) and lateral-transshipment (Rabbani et al , 2018) are widely used in SC management theory to elevate the performance of the SC members and prevent lost sales.…”

Section: Literature Reviewmentioning

confidence: 99%

A collaborative scenario-based decision model for a disrupted dual-channel supply chain

Heydari

Aslani

Sabbaghnia

2019

BIJ

Self Cite

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Purpose Distribution systems usually utilize both traditional retailing channels in conjunction with e-channels. The purpose of this paper is to investigate a dual-channel supply chain, comprising a traditional retailing channel and an e-channel under disruption. By benchmarking against the centralized decision structure, the authors intend to propose a collaboration model to achieve channel coordination as well as more reliable decisions. Design/methodology/approach Four different channel disruption scenarios, with customers’ reaction toward disruptions, are examined, and then, optimal pricing decisions for both centralized and decentralized decision-making structures are extracted. Next, a collaboration mechanism based on the dominancy power of channel members is developed to entice all channel members to participate in channel coordination. By benchmarking the proposed collaboration model against both the decentralized/centralized structures a win–win solution is guaranteed for all channel members. In addition, the proposed model ensures more reliable decisions than the centralized structure, as it guarantees less fluctuated income levels. Findings This study shows, as the disruption probability grows, the channel profit decreases while the channel-retailing price increases. Furthermore, the exact alignment of the centralized decision-making approach and the proposed collaboration model is not achievable due to the problem infeasibility. Numerical experiments and sensitivity analyses benchmark the performance of the proposed collaboration mechanism against the centralized structure for the full alignment with centralized decision-making approach. Originality/value This study contributes to the channel conflict literature as jointly considers pricing decisions, disruptions and coordination. Further, consumers’ reaction toward disruption is analyzed through a transshipment agreement.

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A graph theory-based algorithm for a multi-echelon multi-period responsive supply chain network design with lateral-transshipments

Cited by 16 publications

References 34 publications

Collaborative hospital supply chain network design problem under uncertainty

Collaborative hospital supply chain network design problem under uncertainty

Analysis of the effects of Lead-Time variation and Lateral Transshipment insertion in a Supply Chain Network

A collaborative scenario-based decision model for a disrupted dual-channel supply chain

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