Supply chain network optimization: A review of classification, models, solution techniques and future research

Matinrad, Niki; Roghanian, Emad; Rasi, Zarifeh

doi:10.5267/j.uscm.2013.05.003

Cited by 17 publications

(7 citation statements)

References 37 publications

(59 reference statements)

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“…A recent complete review focusing on facility location problem could be found in Farahani et al (2014). Klose and Drexel (2005), Matinrad, Roghanian, and Rasi (2013), Melo, Nickel, and Saldanha-da-Gama (2009), ReVelle and Eiselt (2005), and Synder (2006) have also reviewed the problem. While facility location models aim at strategic level, many researchers have recently shown interest in integrating the strategic and tactical decisions of supply chain networks by developing integrated models such as location-inventory models (Berman, Krass, and Tajbakhsh 2012).…”

Section: Literature Reviewmentioning

confidence: 99%

A bi-objective location-inventory model with capacitated transportation and lateral transshipments

Ahmadi

Torabi

Tavakkoli–Moghaddam

2015

International Journal of Production Research

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We integrate location and inventory decisions in a three-echelon distribution network model with multiple products, capacitated in-house fleet and proactive transshipments between depots. The problem was originally motivated by the real-life case of a leading company in consumers' household goods. The company offers a wide range of products which are different from demand pattern and shortage viewpoints. One of the product groups has seasonal trend with possibly lost sales during high seasons and backlog in low seasons, while the others lack any seasonal trend and get backlogged if any shortage occurs. A two-step process consisting of a new practical customer classification framework and a new mathematical model is developed. Total profit and customers' dissatisfaction in the form of a new service-level measure are considered as the objective functions. To study the effects of transportation capacity on the network's performance, a second scenario with inclusion of third-party transportation resources is presented. Due to unavailability or insufficiency of required objective data about production capacities and demands, they are assumed to be imprecise (i.e. possibilistic). After converting the original fuzzy model to its equivalent crisp formulation, an interactive solution procedure is applied to deal with the trade-off between the conflicting objectives. Useful managerial insights are also derived from the numerical experiments.

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Section: Literature Reviewmentioning

confidence: 99%

A bi-objective location-inventory model with capacitated transportation and lateral transshipments

Ahmadi

Torabi

Tavakkoli–Moghaddam

2015

International Journal of Production Research

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“…To clearly present the effects of COVID-19 on supply chains optimization, this paper analyses a particular practical example of the supply chain. Supply chain is a network that consists of four entities: suppliers, distribution networks, manufacturers, and customers [13]. Supply chains have different numbers of nodes, different numbers of active participants, different types of connections and influences on each other including transportation, information sharing, and financial flows [14].…”

Section: Methodsmentioning

confidence: 99%

Optimization of COVID-19-Free Supply Chains

Pupavac

Maršanić²,

Krpan³

2021

PROMET

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The basic aim of this paper is to research the importance of supply chain optimization in the circumstances of the COVID-19 crisis. The research object is the optimum selection of active participants before and after the COVID-19 crisis. The initial hypothesis of this paper is that optimal COVID-19-free supply chains can be formed with a dynamic programming method, the costs of which will be higher than those when this restriction would not exist, but significantly lower than those formed if the optimization principle in the selection of supply chain stakeholders would be neglected. Research results in this scientific discussion paper are based on the analysis and synthesis method, comparative method, and dynamic programming method. The main findings of this paper point to the conclusion that the COVID-19 crisis affected the reduction of goods flow within supply chains, reduction of potential participants in supply chains, reduction of supply chains business safety, and increase in business costs.

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“…The Green Supply Network concept, which includes an environmental factor in the design of the supply network, has also attracted the attention of researchers in recent years [19][20][21][22][23][24][25][26][27][28][29][30][31]. N. Matinrada et al [32] argue that when different companies work together to maintain customer satisfaction, the result is a "supply chain network" (SCN). One of the main objectives of both GSCM and GSN is to assess the environmental impact of different production and/or distribution approaches to reduce GHG emissions from logistics activities [33].…”

Section: Introductionmentioning

confidence: 99%

Untitled

2023

Intellectualization of logistics and SCM

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Supply chain network optimization: A review of classification, models, solution techniques and future research

Cited by 17 publications

References 37 publications

A bi-objective location-inventory model with capacitated transportation and lateral transshipments

A bi-objective location-inventory model with capacitated transportation and lateral transshipments

Optimization of COVID-19-Free Supply Chains

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