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Lab Report, 2019-3: MELOGIC PROJECT: ESHFP input data and results for the case study in the Province of Teruel, Spain
Post date: Wednesday, October 30, 2019 - 14:45
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Lab Report, 2019-2: MELOGIC PROJECT_ESHFP input data and solution for a large scale problem
Post date: Wednesday, October 30, 2019 - 14:43
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Lab Report, 2019-1: MELOGIC PROJECT: Effects of critical ESHFP characteristics on supply time
Post date: Wednesday, October 30, 2019 - 14:37
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Emergency Evacuation Planning in Natural Disasters Under Diverse Population and Fleet Characteristics
Baou, E., Koutras, V., Zeimpekis, V., Minis, I.
Accepted for publication in the Journal of Humanitarian Logistics and Supply Chain Management, Publication date 3 December 2018
Abstract:
Purpose – The purpose of this paper is to formulate and solve a new emergency evacuation planning problem. This problem addresses the needs of both able and disabled persons who are evacuated from multiple pick-up locations and transported using a heterogeneous fleet of vehicles.Design/methodology/approach – The problem is formulated using a mixed integer linear programming model and solved using a heuristic algorithm. The authors analyze the selected heuristic with respect to key parameters and use it to address theoretical and practical case studies.Findings – Evacuating people with disabilities has a significant impact on total evacuation time, due to increased loading/unloading times. Additionally, increasing the number of large capacity vehicles adapted to transport individuals with disabilities benefits total evacuation time.Research limitations/implications – The mathematical model is of high complexity and it is not possible to obtain exact solutions in reasonable computational times. The efficiency of the heuristic has not been analyzed with respect to optimality.Practical implications – Solving the problem by a heuristic provides a fast solution, a requirement in emergency evacuation cases, especially when the state of the theater of the emergency changes dynamically. The parametric analysis of the heuristic provides valuable insights in improving an emergency evacuation system.Social implications – Efficient population evacuation studied in this work may save lives. This is especially critical for disabled evacuees, the evacuation of whom requires longer operational times.Originality/value – The authors consider a population that comprises able and disabled individuals, the latter with varying degrees of disability. The authors also consider a heterogeneous fleet of vehicles, which perform multiple trips during the evacuation process.Keywords Disaster relief logistics, Emergency evacuation planning, Evacuation of disabled personsPaper type Research paperPost date: Tuesday, July 16, 2019 - 12:27 -
MELOGIC PROJECT: ESHFP input data and solution for a large scale problem
The following tables present the necessary data in terms of a) demand points, b) the available fleet of vehicles for supplying consumable and non-consumable provisions to civilians and intervention groups at their cites and c) the supply point providing the necessary commodities for a large scale instance of the ESHFP:
Post date: Friday, March 1, 2019 - 09:35
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Τhe Design, Operations, and Production Systems Lab is “knowledge Partner” of the Green Freight Europe Initiative.