Logistics service network design for humanitarian response in East Africa

Dufour, Émilie; Laporte, Gilbert; Paquette, Julie; Rancourt, Marie–Ève

doi:10.1016/j.omega.2017.01.002

Cited by 97 publications

(77 citation statements)

References 48 publications

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“…Since the LSNDP [Dufour et al, 2018, Belieres et al, 2020b has received little attention to date, we position it regarding existing network design problems. The LSNDP is similar to the Service Network Design Problem (SNDP) [Crainic, 2000, Wieberneit, 2008 in that both problems focus on transportation planning decisions within a facility network.…”

Section: Literature Reviewmentioning

confidence: 99%

A Benders decomposition-based approach for logistics service network design

Belieres

Hewitt

Jozefowiez

et al. 2020

European Journal of Operational Research

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Supply chain transportation operations often account for a large proportion of product total cost to market. Such operations can be optimized by solving the Logistics Service Network Design Problem (LSNDP), wherein a logistics service provider seeks to cost-effectively source and fulfill customer demands of products within a multi-echelon distribution network. However, many industrial settings yield instances of the LSNDP that are too large to be solved in reasonable run-times by off-the-shelf optimization solvers. We introduce an exact Benders decomposition algorithm based on partial decompositions that strengthen the master problem with information derived from aggregating subproblem data. More specifically, the proposed Meta Partial Benders Decomposition intelligently switches from one master problem to another by changing both the amount of subproblem information to include in the master as well as how it is aggregated. Through an extensive computational study, we show that the approach outperforms existing benchmark methods and we demonstrate the benefits of dynamically refining the master problem in the course of a partial Benders decomposition-based scheme.

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Section: Literature Reviewmentioning

confidence: 99%

A Benders decomposition-based approach for logistics service network design

Belieres

Hewitt

Jozefowiez

et al. 2020

European Journal of Operational Research

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“…The research considers the welfare of all stakeholders for allocating distribution centers using GIS information. GIS data is also used as a parameter estimation tool in a facility location model for a new United Nations Humanitarian Response Depot (UNHRD) in Kampala, Uganda (Dufour et al, 2018), for silos as a strategy for national food security in India (Mogale et al, 2018) and for providing water to the refugee camp in Syria (Smadi et al, 2018).…”

Section: (Iii) Real Case Evaluationmentioning

confidence: 99%

“…Nevertheless, most of the research defines network planning and the warehouses from scratch and make no comparisons with the current network structure. Only the work by Dufour et al (2018) made a cost and operational evaluation of introducing a new warehouse in the current system. This fact is not completely useful since most of the food assistance supply chains (like Bienestarina) have been operative already for many years, thus comparisons between current structures and new proposals based on mathematical methods may offer significant conclusions about the supply chain performance.…”

Section: (Iii) Real Case Evaluationmentioning

confidence: 99%

Evaluation of a facility location for a food assistance supply chain. The case of Bienestarina in Colombia

et al. 2020

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The evaluation of the strategic supply chain configuration is considered one of the strategic logistics decisions, especially in food assistance supply chains focused on generating better nutritional conditions in vulnerable populations. In Colombia, there is a social program called Bienestarina, which aims to promote food and nutritional security in a vulnerable population. Although the government supports the program for improving nutritional support, there are currently inconsistencies in freight flows, lack of coverage in some areas, and delivery delays. Therefore, this work aims to evaluate the current configuration of the supply chain and propose improvements related to the facility location. Such advances would enable the increase in the efficacy of the network and the reduction of malnutrition in the country. For this purpose, a mixed-integer mathematical programming model is presented, which considers the weighted distance criterion for different demand scenarios and supports the location-allocation decision in a social assistance supply chain. The current network configuration was compared with the optimal proposed structure. The comparisons show highly potential improvements in freight flow allocation, suggests several variations in the existing warehouses emplacement, and generates public policy implications to reduce the logistic cost in the system, prioritizing in turn the demand covering.

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“…Therefore, a proposal of the most convenient location for a distribution LC (DLC) was suggested in South Africa to promote China's engagement in sub-Saharan Africa (SSA), serving the sub-Saharan region and relaying container cargoes to South America. Dufour et al (2018) analyses the feasibility of establishing a regional distribution centre in East Africa. Five locations selecting criteria were applied; namely ease of doing business, corruption percentage, worldwide governance, available storage capacity, and logistics performance index.…”

Section: Lcs Conceptmentioning

confidence: 99%

“…where, Xijt is the value of exports from country i to country j at time t, Yit (Yjt) is the value of GDP in the exporting (importing) country at time t, yit (yjt) is the value of per capita GDP in the exporting (importing) country at time t, Dij is the geographical distance between the 2 partners, Borij is a dummy variable for being neighbouring country pairs, Agrij is a dummy variable for being members in at least one trade blocks at time t, ydifijt is the per capita GDP difference between the 2 partners at time t, Infrit (Infrjt) is an index for the infrastructural level in the exporting (importing) country at time t (3) , IQit (IQjt) is an index for the institutional quality in the exporting (importing) country (4) , XDTFit (MDTFjt) is an index for ease of trading across borders index in both countries (5) which is used as a proxy for documents and costs of trade across borders. publishing date Khaled Gaber -Mohamed ahmed logistics center selecting optimal Openit (Openjt) is the sum of merchandise exports and imports divided by the value of GDP of the exporting (importing) country at time t as a proxy for openness.…”

Section: Significance Of Logistics Factors In Intra-arab Trade Using mentioning

confidence: 99%

Selecting Optimal Logistics Center Locations to Enhance Arab African Trade: A Multi-Criteria Decision Making Methodology

کامل¹,

السقطي²

2020

المجلة العلمیة للإقتصاد و التجارة

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transit, are carried out by various operators on a commercial basis (Uyanik et al., 2018; Önden et al., 2018). Various names are generated common for the concept of LC in the literature such as distribution centre, freight village, dry port, inland port, warehouse, logistics platform, logistics depot and distripark. The location of LC is a key element in enhancing the efficiency of logistics and supply chain activities. Right LC locations enhance the flow of trade and minimise distance, cost, congestion and bottleneck (Erkayman et al., 2011). Thus, the location of LC should be selected strategically. In Africa, the continent is inhabited by about 17.2 per cent of the world's population (ranked as the second after Asia) and makes 2020 / 10 / 12 publishing date Khaled Gaber-Mohamed ahmed logistics center selecting optimal

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Logistics service network design for humanitarian response in East Africa

Cited by 97 publications

References 48 publications

A Benders decomposition-based approach for logistics service network design

A Benders decomposition-based approach for logistics service network design

Evaluation of a facility location for a food assistance supply chain. The case of Bienestarina in Colombia

Selecting Optimal Logistics Center Locations to Enhance Arab African Trade: A Multi-Criteria Decision Making Methodology

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