An integrated supplier selection and inventory problem with multi-sourcing and lateral transshipments

Firouz, Mohammad; Keskin, Burcu B.; Melouk, Sharif H.

doi:10.1016/j.omega.2016.09.003

Cited by 68 publications

(28 citation statements)

References 48 publications

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“…Some useful methods are as follows: Liu and Lian [25] studied the optimal inventory with respect to the minimized cost, Fiestras-Janeiroabcd [26] used the cooperative game theory to manage the military supply inventory, Ventura et al [27] explored a nonlinear programming model to determine the optimal inventory, and Parhizkari et al [28] used Non-dominated Sorting Genetic Algorithm-II (NSGA-II) as meta-heuristic technique and examined the validity of the proposed inventory management model. Recently, Russell and Urban [29] developed a mixed-integer programming model through applying symmetry-breaking constraints to calculate the optimal inventory, and Firouz et al [30] proposed the multi-sourcing and lateral transshipment method to analyze the integrated inventory. It should be pointed out that these inventory controlling models are not suitable for military supply transportation and inventory analysis.…”

Section: Introductionmentioning

confidence: 99%

Optimal Flow Distribution of Military Supply Transportation Based on Network Analysis and Entropy Measurement

Zhou

Chen

Ding

2018

Entropy

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One important element of military supply transportation is concealment, especially during war preparations and warfare periods. By introducing entropy to calculate the transportation concealment degree, we investigate the issue about concealed military supply transportation on the whole road network and propose an optimal flow distribution model. This model's objective function is to maximize the concealment of military supply transportation. After analyzing the road network, classifying different nodes, summarizing the constraint conditions based on the properties and assumptions in the transportation process, and combining the general parameter limits, the optimal flow distribution model is further transformed into a calculable non-linear programming model. Thus, based on this non-linear programming model, we can obtain the optimal distribution scheme of military supply transportation from the perspectives of network analysis and concealment measurement. Lastly, an example of military supply transportation in Jiangsu province, China is illustrated to prove the feasibility of the proposed model. The managerial implication is that by utilizing the proposed flow distribution model, military supplies can be efficiently transported to the required destinations based on maximizing the concealment degree. Not only this model can be utilized in the real military supply transportation, it can be also applied in other transportation fields which require time efficiency and concealment.

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Section: Introductionmentioning

confidence: 99%

Optimal Flow Distribution of Military Supply Transportation Based on Network Analysis and Entropy Measurement

Zhou

Chen

Ding

2018

Entropy

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“…Arikan 2013, Kannan, Govindan, and Rajendran 2015, Jadidi, Cavalieri, and Zolfaghari 2015, Yousefi, Mahmoudzadeh, and Rezaee 2017, but disregard inventory management, transportation and supply uncertainty. In fact, strategic items require assurance of supply while maintaining low costs through integrated supplier selection and inventory management under multi-sourcing strategy (Firouz, Keskin, and Melouk 2017). Firouz, Keskin, and Melouk (2017), Meyer (2010), andSaputro, Figueira, andAlmada-Lobo (2019) are some of the few to consider disruptions and integrate those entire activities in supplier selection processes.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, strategic items require assurance of supply while maintaining low costs through integrated supplier selection and inventory management under multi-sourcing strategy (Firouz, Keskin, and Melouk 2017). Firouz, Keskin, and Melouk (2017), Meyer (2010), andSaputro, Figueira, andAlmada-Lobo (2019) are some of the few to consider disruptions and integrate those entire activities in supplier selection processes. However, some pivotal aspects need to be addressed and fully incorporated, in order to achieve competitive priorities as a whole, particularly when dealing with the supply of strategic items.…”

Section: Introductionmentioning

confidence: 99%

Integrating supplier selection with inventory management under supply disruptions

Saputro

Figueira

Almada-Lobo

2020

International Journal of Production Research

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In the current global market, managing supply is not a straightforward process and it becomes even more complex as uncertainty and disruptions occur. In order to mitigate their impact, the selection of suppliers of strategic items should have a more holistic view of the operations in the supply chain. We propose an integrated model for supplier selection, considering inventory management and inbound transportation. We approach this problem, incorporating stochastic demand and suppliers' imperfect quality. Imperfect quality triggers additional costs, including external failure and holding costs. Supply disruptions also affect the suppliers' lead time, resulting in delivery delays. We develop a methodology to address this challenge with simulation-optimisation. A genetic algorithm determines supplier selection decisions, while inventory decisions are computed analytically. Discrete-event simulation is used to evaluate the overall performance, as well as to update the lead time dynamically, according to the disruptions. Finally, sensitivity analysis providing managerial insights reveals that criteria in supplier selection should be given a different priority depending on the characteristics of the items, and the effectiveness of disruption mitigation strategies depends on the disruption characteristics.

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“…Also, changing trend of costs and competitive trade environment have heightened importance of supplier selection for company managers and field experts (Zubar and Parthiban, 2014). The other important issue is availability of different suppliers for each type of products that makes supplier selection planning problem complicating (Bohner and Minner, 2017;Firouz et al, 2017;Torabi et al, 2015). Supplier selection could be defined as designing an effective procedure for selecting the best suppliers.…”

Section: Introductionmentioning

confidence: 99%

A socially responsible supplier selection model under uncertainty: case study of pharmaceutical department of an Iranian hospital

Fazli-Khalaf

Nemati

2019

IJLSM

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Effective performance of suppliers could improve responsiveness of network and heightens customer loyalty. Accordingly, supplier selection has become an important challenge for company managers in supply chain planning. Also, importance of corporate social responsibility (CSR) has been emphasised by researchers that is disregarded in supplier selection scope. Inherent uncertainty of parameters is other issue that should be carefully considered in supply chain planning owing to undesirable effects of uncertainties on output decisions of network design. Therefore, a bi-objective multi-period supplier selection model is developed that minimises total of costs of network besides maximising social responsibility. To cope with uncertainty of parameters, a chance constrained possibilistic programming model is proposed. Extended model enables decision makers (DMs) to control riskaversion of output decisions. Finally, case study of pharmaceutical department of an Iranian hospital is employed to show efficiency and practicability of developed fuzzy socially responsible supplier selection model in real world problems.

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An integrated supplier selection and inventory problem with multi-sourcing and lateral transshipments

Cited by 68 publications

References 48 publications

Optimal Flow Distribution of Military Supply Transportation Based on Network Analysis and Entropy Measurement

Optimal Flow Distribution of Military Supply Transportation Based on Network Analysis and Entropy Measurement

Integrating supplier selection with inventory management under supply disruptions

A socially responsible supplier selection model under uncertainty: case study of pharmaceutical department of an Iranian hospital

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