Decision making application in collaborative emergency response: A new PROMETHEE preference function

Abstract Emergencies or disasters encourage various agencies in a country to cooperate and collaborate to minimize the level of casualties. Hence, the desired overall system performance is influenced not only by the efficiency of each system but also by the synergy between the independent systems, which is critical for emergency response management. This paper presents a multi-criteria decision making (MCDM) approach to evaluate emergency response systems by taking into account the interactions synergy. The study is planned in two major phases, the first uses PROMETHEE method to evaluate emergency response systems. So a new type of preference function is proposed, which is able to overcome the main shortcomings of other preference functions. It helps to extend the range of choices for experts and decision makers. The simplicity and easiness of application are a big bonus of the proposed function. The second phase employs a pairwise comparison of synergy criteria to assess the ratings of systems in coordination and collaboration with each other during the emergency response. Incorporating synergy with MCDM makes more realistic results which helps policy makers to improve the performance of emergency response management. The proposed model is proofed in a real-world case of Lebanon for efficiency and applicability, while the reliability of the proposed function also is investigated through sensitivity analysis.

[1]  Quan Zhou,et al.  Identifying critical success factors in emergency management using a fuzzy DEMATEL method , 2011 .

[2]  Rita Gamberini,et al.  On the elicitation of criteria weights in PROMETHEE-based ranking methods for a mobile application , 2019, Expert Syst. Appl..

[3]  Abdalhadi Alijla,et al.  Between inequality and sectarianism: who destroys generalised trust? The case of Lebanon , 2016 .

[4]  Hoda Baytiyeh,et al.  Towards safer public school buildings in Lebanon: an advocacy for seismic retrofitting initiative , 2014 .

[5]  Francisco Herrera,et al.  An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges , 2019, Inf. Fusion.

[6]  Hamidreza Eskandari,et al.  An integrated MCDM approach to evaluate public transportation systems in Tehran , 2017 .

[7]  Christopher Brewster,et al.  Disaster preparedness in humanitarian logistics: A collaborative approach for resource management in floods , 2018, Eur. J. Oper. Res..

[8]  Rita Gamberini,et al.  Waste treatment: an environmental, economic and social analysis with a new group fuzzy PROMETHEE approach , 2016, Clean Technologies and Environmental Policy.

[9]  Vaninha Vieira,et al.  Information visualization for emergency management: A systematic mapping study , 2016, Expert Syst. Appl..

[10]  Adel Azar,et al.  A method for modelling operational risk with fuzzy cognitive maps and Bayesian belief networks , 2019, Expert Syst. Appl..

[11]  Hakan Tozan,et al.  A fuzzy AHP based decision support system for disaster center location selection and a case study for Istanbul , 2011 .

[12]  Alex Gorod,et al.  Case Studies in System of Systems, Enterprise Systems, and Complex Systems Engineering , 2014 .

[13]  Hossain Poorzahedy,et al.  A multi-agent optimization formulation of earthquake disaster prevention and management , 2013, Eur. J. Oper. Res..

[14]  A. Vafeidis,et al.  A multi-criteria approach for assessing urban flood resilience in Tehran, Iran , 2019, International Journal of Disaster Risk Reduction.

[15]  William H. Cooper,et al.  Japan's 2011 Earthquake and Tsunami: Economic Effects and Implications for the United States [March 25, 2011] , 2011 .

[16]  P. Vincke,et al.  Note-A Preference Ranking Organisation Method: The PROMETHEE Method for Multiple Criteria Decision-Making , 1985 .

[17]  Hoda Baytiyeh,et al.  Are colleges in Lebanon preparing students for future earthquake disasters , 2015 .

[18]  K. F. Darkwah,et al.  Logistic preference function for preference ranking organization method for enrichment evaluation (PROMETHEE) decision analysis , 2012 .

[19]  Narges Pourghahreman,et al.  Supplier selection in an agent based pharmaceutical supply chain: An application of TOPSIS and PROMETHEE Π , 2015 .

[20]  Hsu-Shih Shih,et al.  A Generalized PROMETHEE III with Risk Preferences on Losses and Gains , 2016 .

[21]  Lean Yu,et al.  Multiple criteria decision making in emergency management , 2014, Comput. Oper. Res..

[22]  Martin Degg,et al.  Earthquake vulnerability in the Middle East , 2005 .

[23]  Halim Kazan,et al.  An Application for Measuring Performance Quality of Schools by Using the PROMETHEE Multi-Criteria Decision Making Method , 2015 .

[24]  Xiaoyue Liu,et al.  Evaluating emergency response capacity by fuzzy AHP and 2-tuple fuzzy linguistic approach , 2012, Expert Syst. Appl..

[25]  Nezih Altay,et al.  OR/MS research in disaster operations management , 2006, Eur. J. Oper. Res..

[26]  Wei Li,et al.  Revised PROMETHEE II for Improving Efficiency in Emergency Response , 2013, ITQM.

[27]  Hoda Baytiyeh,et al.  Can Lebanon Survive Future Earthquake Disasters by Relying on a Military Response Strategy? , 2016 .

[28]  Lamjed Ben Said,et al.  Modelling and simulating a crisis management system: an organisational perspective , 2017, Enterp. Inf. Syst..

[29]  Claude Lamboray,et al.  ℱlow $\mathcal{S}$ ort: a flow-based sorting method with limiting or central profiles , 2008 .

[30]  G. Laporte,et al.  Logistics service network design for humanitarian response in East Africa , 2018 .

[31]  Alev Taskin Gumus,et al.  A fuzzy logic based PROMETHEE method for material selection problems , 2018 .

[32]  Reza Baradaran Kazemzadeh,et al.  PROMETHEE: A comprehensive literature review on methodologies and applications , 2010, Eur. J. Oper. Res..

[33]  Rajan Batta,et al.  Review of recent developments in OR/MS research in disaster operations management , 2013, Eur. J. Oper. Res..

[34]  Hoda Baytiyeh,et al.  Revolutionising engineering education in the Middle East region to promote earthquake-disaster mitigation , 2014 .

[35]  Lixin Wu,et al.  Satellite scheduling of large areal tasks for rapid response to natural disaster using a multi-objective genetic algorithm , 2018, International Journal of Disaster Risk Reduction.

[36]  Zhang Liang,et al.  AHP-based assessment of emergency response agencies , 2011, 2011 IEEE 3rd International Conference on Communication Software and Networks.

[37]  Gang Kou,et al.  Multi-criteria decision analysis for emergency medical service assessment , 2014, Ann. Oper. Res..

[38]  Solomon Tesfamariam,et al.  A review of multi-criteria decision-making methods for infrastructure management , 2014 .

[39]  Hong-yu Zhang,et al.  Outranking approach for multi-criteria decision-making problems with hesitant interval-valued fuzzy sets , 2017, Soft Computing.

[40]  Lucimário Gois de Oliveira Silva,et al.  A new PROMETHEE-based approach applied within a framework for conflict analysis in Evidence Theory integrating three conflict measures , 2018, Expert Syst. Appl..

[41]  Francisco Gomez,et al.  Measurement of Anomalous Radon Gas Emanation Across the Yammouneh Fault in Southern Lebanon: A Possible Approach to Earthquake Prediction , 2015, International Journal of Disaster Risk Science.

[42]  Hoda Baytiyeh,et al.  Promoting earthquake disaster mitigation in Lebanon through civic engagement , 2013 .

[43]  Wenguo Weng,et al.  A scenario-based model for earthquake emergency management effectiveness evaluation , 2017 .

[44]  A. Farazmand Learning from the Katrina Crisis: A Global and International Perspective with Implications for Future Crisis Management , 2007 .

[45]  Thomas L. Saaty,et al.  Multicriteria Decision Making: The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation , 1990 .

[46]  M M Klarin,et al.  Multi-criteria approach to optimization of enterprise production programme , 2011 .

[47]  Alessio Ishizaka,et al.  Multi-criteria Decision Analysis: Methods and Software , 2013 .

[48]  Konstantin E. Samouylov,et al.  Carrying out consensual Group Decision Making processes under social networks using sentiment analysis over comparative expressions , 2019, Knowl. Based Syst..

[49]  Salvatore Greco,et al.  GAIA-SMAA-PROMETHEE for a hierarchy of interacting criteria , 2018, Eur. J. Oper. Res..

[50]  Alessio Ishizaka,et al.  Selecting the best statistical distribution with PROMETHEE and GAIA , 2011, Comput. Ind. Eng..

[51]  Peter Tatham,et al.  Introduction [Humanitarian Logistics: Meeting the challenge of preparing for and responding to disasters] , 2011 .

[52]  Wen-Chieh Chou,et al.  Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: A case study in Shihmen Reservoir Watershed, Taiwan , 2007 .

[53]  Ashish Trivedi,et al.  A multi-criteria decision approach based on DEMATEL to assess determinants of shelter site selection in disaster response , 2018, International Journal of Disaster Risk Reduction.

[54]  Hoda Baytiyeh Socio-cultural characteristics: the missing factor in disaster risk reduction strategy in sectarian divided societies , 2017 .

[55]  Rita Gamberini,et al.  FlowSort-GDSS - A novel group multi-criteria decision support system for sorting problems with application to FMEA , 2015, Expert Syst. Appl..

[56]  Valentinas Podvezko,et al.  DEPENDENCE OF MULTI-CRITERIA EVALUATION RESULT ON CHOICE OF PREFERENCE FUNCTIONS AND THEIR PARAMETERS , 2010 .

[57]  Bianca Rimini,et al.  Requalifying public buildings and utilities using a group decision support system , 2017 .

[58]  Tricia Wachtendorf,et al.  Comparative performance of alternative humanitarian logistic structures after the Port-au-Prince earthquake: ACEs, PIEs, and CANs , 2012 .

[59]  Erik Auf der Heide,et al.  Disaster Response: Principles of Preparation and Coordination , 1989 .

[60]  Patrick Taillandier,et al.  Using the PROMETHEE multi-criteria decision making method to define new exploration strategies for rescue robots , 2011, 2011 IEEE International Symposium on Safety, Security, and Rescue Robotics.