Crowdsourcing planar facility location allocation problems

Allahbakhsh, Mohammad; Arbabi, Saeed; Galavii, Mohammadreza; Daniel, Florian; Benatallah, Boualem

doi:10.1007/s00607-018-0670-1

Cited by 10 publications

(4 citation statements)

References 36 publications

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“…So many organizations are facing challenges to find accurate locations of the facilities. Better accuracy is achieved by a crowdsourced game which is used to solve the problems of facility location allocation (Allahbakhsh et al, 2019).…”

Section: Crowdsourcing Challenges and Solutions (Cluster-1)mentioning

confidence: 99%

Impact Of Crowdsourcing in Organizations: A Systematic Literature Review (SLR) and Future Research Directions

Ataur Rahman,

Masudur Rahman

2023

Journal of Technology Management & Innovation

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Crowdsourcing is a very popular term in the management and business world in the 21 st century. This study engages in the Systematic Literature Review (SLR) methodology to investigate the impacts of crowdsourcing in formal organizations while undertaking their businesses. In conducting the SLR process this study carried out the Text Analyses on the existing literature related to business and management fields. Then, Data Visualization tools were employed to understand how the ideas in the literature were connected. The Visualization tools are able to show how the condensed principles in the literature relate to the growth of the organization, produce the desired outcomes in implementations and influence the use of crowdsourcing according to peculiar situations of the organizations. Finally, the Text Analyses of current literature and the findings of this paper pave the focus of future fruitful research directions.

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Section: Crowdsourcing Challenges and Solutions (Cluster-1)mentioning

confidence: 99%

Impact Of Crowdsourcing in Organizations: A Systematic Literature Review (SLR) and Future Research Directions

Ataur Rahman,

Masudur Rahman

2023

Journal of Technology Management & Innovation

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“…An emergency medical facility location-allocation scheme is urgently needed following the declaration of a public health emergency. LAP is an NP-hard problem [ 17 , 18 ] that can be effectively solved by heuristic algorithms. The proposed effectiveness means that solutions can be obtained using the heuristic algorithm within a reasonable computational time.…”

Section: State Of the Artmentioning

confidence: 99%

An Improved Genetic Algorithm for Location Allocation Problem with Grey Theory in Public Health Emergencies

Wang

2022

IJERPH

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The demand for emergency medical facilities (EMFs) has witnessed an explosive growth recently due to the COVID-19 pandemic and the rapid spread of the virus. To expedite the location of EMFs and the allocation of patients to these facilities at times of disaster, a location-allocation problem (LAP) model that can help EMFs cope with major public health emergencies was proposed in this study. Given the influence of the number of COVID-19-infected persons on the demand for EMFs, a grey forecasting model was also utilized to predict the accumulative COVID-19 cases during the pandemic and to calculate the demand for EMFs. A serial-number-coded genetic algorithm (SNCGA) was proposed, and dynamic variation was used to accelerate the convergence. This algorithm was programmed using MATLAB, and the emergency medical facility LAP (EMFLAP) model was solved using the simple (standard) genetic algorithm (SGA) and SNCGA. Results show that the EMFLAP plan based on SNCGA consumes 8.34% less time than that based on SGA, and the calculation time of SNCGA is 20.25% shorter than that of SGA. Therefore, SNCGA is proven convenient for processing the model constraint conditions, for naturally describing the available solutions to a problem, for improving the complexity of algorithms, and for reducing the total time consumed by EMFLAP plans. The proposed method can guide emergency management personnel in designing an EMFLAP decision scheme.

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“…Other studies have considered LA models for improving the spatial planning of public health services (Polo et al 2015) and the optimising health-care facilities in highly developed cities (Zhang et al 2016). More recently, Allahbakhsh et al (2019) developed a crowdsourced game which "employs wisdom and intelligence of the crowd" to solve LA problems.…”

Section: Location-allocation Analysismentioning

confidence: 99%

Development of an Adaptive Solution to Increase Infrastructure System Resilience Based upon a Location-Allocation Methodology

Dunn

Gonzalez-Otalora

2021

J. Infrastruct. Syst.

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Infrastructure systems are critical to the normal functioning of our modern communities, enabling access to essential resources and services, and also providing a platform for social and economic growth. These systems are currently being subjected to a multitude of challenges and must therefore adapt to ensure the needs of society can continue to be met. Perhaps the most problematic of these challenges is climate change. The high level of uncertainty within long-term climate projections means that they cannot reliably be used as a basis for informed decisions to permanently alter existing assets or change the design of infrastructure assets (through alteration to design codes, for example). Therefore, we need new tools to ensure our infrastructure systems are resilient using adaptable approaches, which do not require accurate long-term climate scenarios to inform decisions. This paper develops a modified Location-Allocation modelling approach, which can provide an adaptive solution, utilising deployable resources, to increase the resilience of infrastructure systems. Specifically, this approach can be applied to indicate the optimal location to store resources so as to ensure a baseline level of service to our communities, either through the protection of critical assets (e.g. mobile flood defences, grit storage) or the provision of a temporary service (e.g. electricity generators). The approach we have developed is based upon a modified Location-Allocation analysis, which determines an optimal location for one, or more, resource sites to provide supply to a given set of demand points (e.g. hospitals, community centres). The novel contribution of the work, is to the development of a methodology to assign weighting to assets with only qualitative attributes within the Location-Allocation methodology. We use ArcGIS to undertake the analysis and apply our methodology to a realworld infrastructure case study and natural hazard threat.

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Crowdsourcing planar facility location allocation problems

Cited by 10 publications

References 36 publications

Impact Of Crowdsourcing in Organizations: A Systematic Literature Review (SLR) and Future Research Directions

Impact Of Crowdsourcing in Organizations: A Systematic Literature Review (SLR) and Future Research Directions

An Improved Genetic Algorithm for Location Allocation Problem with Grey Theory in Public Health Emergencies

Development of an Adaptive Solution to Increase Infrastructure System Resilience Based upon a Location-Allocation Methodology

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