Humanitarian relief supply chain: a multi-objective model and solution

Jha, Aditya; Acharya, D.; Tiwari, Manoj Kumar

doi:10.1007/s12046-017-0679-8

Cited by 19 publications

(8 citation statements)

References 31 publications

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“…Researchers try to identify best practices and strategies for building structural systems in this area (Stephenson, 2017). In this line, modeling and optimization of the humanitarian relief chain system can play vital role during and after the natural and unnatural disasters (Jha et al , 2017). Therefore, managers have been focused on improving the level of performance in the humanitarian relief organizations and related operations in this industry (Cantillo et al , 2017; Siemen et al , 2017).…”

Section: Resultsmentioning

confidence: 99%

Humanitarian relief chain agility: identification and evaluation of enabling factors

Dashtpeyma

Ghodsi

2021

IJES

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PurposeThis research paper aims to identify and evaluate the enabling factors of agility capability in humanitarian relief chain network.Design/methodology/approachThe research phases were implemented based on an integrated framework. First, a reference framework of the enablers has been constructed based on a literature review. Then, a hybrid evaluation approach is applied that combines fuzzy decision-making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) to achieve reliable results. It provides a road map to identify and evaluate the interactions between the enabling factors and determines the weights correspond to their relative importance. This approach takes advantage of fuzzy set theory to deal with ambiguities, uncertainties and vagueness inherent in the evaluation process.FindingsRelief chain agility is a vital determinant of the effectiveness to succeed humanitarian missions during and after natural and unnatural disasters such as earthquakes, epidemics and terrorist attacks. Results shed light on the essential enabling factors, relationships among them, and their importance for developing humanitarian relief chain agility enhancing the overall performance quality.Originality/valueThe integrated framework is implemented for the Red Crescent, a nongovernmental organization in Iran, which is trying to optimize the agility of their humanitarian relief chain network. In short, the findings are beneficial for identification and utilization of the essential prerequisites of agility in order to develop an agile humanitarian relief chain.

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Section: Resultsmentioning

confidence: 99%

Humanitarian relief chain agility: identification and evaluation of enabling factors

Dashtpeyma

Ghodsi

2021

IJES

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“…

Y Sung & Lee (2016) They designed an RSCN to meet patients’ demands

N Zhou et al [49 ] They considered resources distribution in post-disaster by optimizing emergency resource allocation and scheduling.

Y Jha et al [50 ] They designed an RSCN to distribute goods.

Y Al Theeb and Murray [51 ] They designed an RSCN considering VRP.…”

Section: Problem Definition and Formulationmentioning

confidence: 99%

Disaster relief supply chain design for personal protection equipment during the COVID-19 pandemic

Mosallanezhad

Chouhan

Paydar

et al. 2021

Applied Soft Computing

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The global epidemic caused by novel coronavirus continues to be a crisis in the world and a matter of concern. The way the epidemic has wreaked havoc on the international level has become difficult for the healthcare systems to supply adequately personal protection equipment for medical personnel all over the globe. In this paper, considering the COVID-19 outbreak, a multi-objective, multi-product, and multi-period model for the personal protection equipment demands satisfaction aiming to optimize total cost and shortage, simultaneously, is developed. The model is embedded with instances and validated by both modern and classic multi-objective metaheuristic algorithms. Moreover, the Taguchi method is exploited to set the metaheuristic into their best performances by finding their parameters’ optimum level. Furthermore, fifteen test examples are designed to prove the established PPE supply chain model and tuned algorithms’ applicability. Among the test examples, one is related to a real case study in Iran. Finally, metaheuristics are evaluated by a series of related metrics through different statistical analyses. It can be concluded from the obtained results that solution methods are practical and valuable to achieve the efficient shortage level and cost.

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“…Mollah et al [60] work on the evacuation of people during a flood; two algorithms are proposed, one of integer mixed programming and a genetic algorithm. Jha et al [61] presents a disaster evacuation chain with two echelons-evacuation fields and affected-modeling the problem through mixed integer programming that is solved through NSGA-II. In [45] the transfer of affected people is considered using forward and backward multi-objective and is resolved with NSGA-II.…”

Section: Type Of Problemmentioning

confidence: 99%

Metaheuristics in the Humanitarian Supply Chain

et al. 2021

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Everyday there are more disasters that require Humanitarian Supply Chain (HSC) attention; generally these problems are difficult to solve in reasonable computational time and metaheuristics (MHs) are the indicated solution algorithms. To our knowledge, there has not been a review article on MHs applied to HSC. In this work, 78 articles were extracted from 2016 publications using systematic literature review methodology and were analyzed to answer two research questions: (1) How are the HSC problems that have been solved from Metaheuristics classified? (2) What is the gap found to accomplish future research in Metaheuristics in HSC? After classifying them into deterministic (52.56%) and non-deterministic (47.44%) problems; post-disaster (51.28%), pre-disaster (14.10%) and integrated (34.62%); facility location (41.03%), distribution (71.79%), inventory (11.54%) and mass evacuation (10.26%); single (46.15%) and multiple objective functions (53.85%), single (76.92%) and multiple (23.07%) period; and the type of Metaheuristic: Metaphor (71.79%) with genetic algorithms and particle swarm optimization as the most used; and non-metaphor based (28.20%), in which search algorithms are mostly used; it is concluded that, to consider the uncertainty of the real context, future research should be done in non-deterministic and multi-period problems that integrate pre- and post-disaster stages, that increasingly include problems such as inventory and mass evacuation and in which new multi-objective MHs are tested.

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Humanitarian relief supply chain: a multi-objective model and solution

Cited by 19 publications

References 31 publications

Humanitarian relief chain agility: identification and evaluation of enabling factors

Humanitarian relief chain agility: identification and evaluation of enabling factors

Disaster relief supply chain design for personal protection equipment during the COVID-19 pandemic

Metaheuristics in the Humanitarian Supply Chain

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