Group Decision Making for Hazard Analysis and Consequence Modelling Software Selection with AHP

Document Type : Research Article

Authors

1 Gazi University, Technical Sciences Vocational School, Material and Material Processing Technologies Ankara, TURKEY

2 Gazi University, Faculty of Engineering, Department of Industrial Engineering, Ankara, TURKEY

3 Atatürk University, Faculty of Engineering, Department of Industrial Engineering, Erzurum, TURKEY

Abstract

Software evaluation and selection have begun to be addressed as a topic title along with the fact that microcomputers and then personal computers have become widespread and have been used in the operations of businesses. In this study, it was focused on the selection of software for identifying the physical effect distances of the explosion, fire, and toxic emission, which is an important need for industrial institutions containing, using or storing hazardous chemicals. The evaluation and selection of software for the Hazard Analysis and Consequence Modeling (HACM) of potential accidents was studied at first. In means of methodology, questionnaires consisting of original questions were applied to the experts. The results obtained from questionnaires according to the Likert scale, were converted into Analytical Hierarchy Process (AHP) suggestion matrices. In this way, the inconsistency problem in the pairwise comparison matrices was eliminated. As a result, evaluation and selection were made among the HACM software.

Keywords

Main Subjects

References

[1] Zoll P.F., Engineering Software Selection Criteria, Proc. Int. Conf. Fire Saf., 67–71 (1980).
[2] Dicaselli R.. How to Select Manufacturing Software, Mod. Mach. Shop, 58(4): 60–63 (1985).
[3] Clochesy J., Henker R., Selecting Computer Software Applications in Critical Care, Dimensions of Critical Care Nursing, 5(3): 171–177 (1986).
[4] Butler D., Selection of Software in the Instructional Laboratory, Behavior Research Methods, Instruments and Computers, 20(2): 175–177 (1988).
[5] Mahmoud E., Malhotra N., Decision Making Process of Small Business for Microcomputers and
Software Selection and Usage, INFOR: Information Systems and Operational Research, 24(2): 116–133 (1986).
[6] Masud A., Kolarik B., A Microcomputer Based Knowledge System for CAD Software Selection, Computers and Industrial Engineering, 13(1-4): 26–28 (1987).
[7] Le Blanc L., Tawfik Jelassi M., DSS Software Selection: A Multiple Criteria Decision Methodology, Information and Management, 17(1): 49–65 (1989).
[8] Galletta D., King R.C., Rateb D., The Effect of Expertise on Software Selection, ACM SIGMIS Database, 24(2): 7–20 (1993).
[9] Rowley J., Selection and Evaluation of Software, Aslib Proc., 45(3): 77–81 (1993).
[10] Andersen C., Emery L., Guidelines for Selection of Health Information Management Software in Outpatient Practice, Occupational Therapy in Health Care, 24(2): 147–158 (2010).
[11] Frank H., Some Considerations when Selecting Digital Library Software, OCLC Systems and Services, 22(2): 107–110 (2006)
[12] Etaati L., Sadi-Nezhad S., Makue A., Using Fuzzy Group Analytical Network Process and ISO 9126 Quality Model in Software Selection: A Case Study in e-learning Systems, J. Appl. Sci., 11(1): 96–103 (2011).
[13] Kaygısız Ertuğ Z., Girginer N., A Multi Criteria Approach for Statistical Software Selection in Education, Hacettepe University Journal of Education, 29(2): 129–143 (2014).
[14] Iroaganachi, Mercy A., Iwu-James J. and Esse, U.C., Software Selection and Deployment for Library Cooperation and Resource Sharing Among Academic Libraries in South-West Nigeria, DESIDOC Journal of Library and Information Technology, 35(1): 3–8 (2015)
[15] Bernroider E, Stix V., Profile Distance Method-A Multi Attribute Decision Making Approach for Information System Investments, Decision Support Systems; 42(2): 988–998 (2006)
[16] Natalia C, Ana Marîa B, Nancy B, Simôn R., Model for the Selection of ERP Software: The Venezuelan Case, Revista de la Facultad de Ingenieria, 21(1): 125–137 (2006)
[17] Ayağ Z, Özdemir RG., An Intelligent Approach to ERP Software Selection Through Fuzzy ANP, Int. J. Prod. Res., 45(10): 2169–2194 (2007)
[18] Al-Mashari M, Ghani S, Al-Braithen M., The Enterprise Resource Planning (ERP) Selection Process: Case Analysis and Proposed Framework, International Journal of Business Information Systems, 3(2): 120–139 (2008)
[19] Deep A, Guttridge P, Dani S, Burns N., Investigating Factors Affecting ERP Selection in Made-To-Order SME Sector, Journal of Manufacturing Technology Management, 19(4): 430–446 (2008).
[20] Karsak E., Özoğul C., An Integrated Decision Making Approach for ERP System Selection, Expert Systems with Applications, 36(1): 660–667 (2009)
[21] Şen C.G., Baraçlı H., Şen S., Başlıgil H., An Integrated Decision Support System Dealing with Qualitative and Quantitative Objectives for Enterprise Software Selection, Expert Systems with Applications, 36(3): 5272–5283 (2009b).
[22] Karaarslan N., Gündoğar E., An Application for Modular Capability Based ERP Software Selection Using AHP Method, International Journal of Advanced Manufacturing Technology, 42(9-10): 1025–1033 (2009).
[23] Yazgan HR, Boran S, Göztepe, K. An ERP Software Selection Process with Using Artificial Neural Network Based on Analytic Network Process Approach, Expert Systems with Applications, 36(5): 9214–9222 (2009).
[24] Kutlu B., Akpınar E., ERP Software Selection Using Fuzzy Methodology: A Case Study, Journal of Applied Sciences, 9(18):3378–3384 (2009).
[25] Şen C.G., Baraçlı H., Fuzzy Quality Function Deployment Based Methodology for Acquiring Enterprise Software Selection Requirements, Expert Systems with Applications, 37(4): 3415–3426 (2010).
[26] Parkhill R., Belton V., Bititci U., Roberts A., Smith M., Using Multiple Criteria Decision Analysis to Aid The Selection of Enterprise Resource Planning Software: A Case Study, Smart Innovation, Systems and Technologies, 5: 39-49 (2010).
[27] Onut S., Efendigil T., A Theorical Model Design for ERP Software Selection Process under the Constraints of Cost and Quality: A Fuzzy Approach, Journal of Intelligent and Fuzzy Systems, 21(6): 365–378 (2010).
[28] Zahedi M., Yousefi S., Cheshmberah M., A Fuzzy Quality Function Deployment Approach to Enterprise Resource Planning Software Selection, Asian Journal of Scientific Research, 4(2): 114–128 (2011).
[29] Benlian A., Hess T., Comparing the Relative Importance of Evaluation Criteria in Proprietary and Open Source Enterprise Application Software Selection - A Conjoint Study of ERP and Office Systems, Information Systems Journal, 21(6): 503–25 (2011).
[30] Huiqun H., Guang S., ERP Software Selection Using the Rough Set and TOPSIS Methods Under Fuzzy Environment, Advances in Information Sciences and Service Sciences, 4(3): 111–118 (2012).
[31] Kazancoğlu Y., Burmaoğlu S., ERP Software Selection with MCDM: Application of TODIM Method. International, Journal of Business Information Systems, 13(4): 435–452 (2013).
[32] Fulmer B., Gerard G., Selecting an Enterprise Resource Planning System: An Active Learning Simulation, Journal of Emerging Technologies in Accounting, 11(1): 71–82 (2014).
[33] Efe B., An Integrated Fuzzy Multi Criteria Group Decision Making Approach for ERP System Selection, Applied Soft Computing, 38:106–117 (2016).
[34] Çakır S., Selecting Appropriate ERP Software Using Integrated Fuzzy Linguistic Preference Relations – Fuzzy TOPSIS Method, International Journal of Computational Intelligence Systems, 9(3): 433–449 (2016).
[35] Hlupic V., Paul R., Methodological Approach to Manufacturing Simulation Software Selection, Computer Integrated Manufacturing Systems, 9(1): 49–55 (1996).
[36] Hlupic V., Simulation Software Selection Using Simselect, Simulation, 69(4): 231–239 (1997).
[37] Mchaney R., White D., Discrete Event Simulation Software Selection: An Empirical Framework. Simulation and Gaming, 29(2): 193–215 (1998).
[38] Nikoukaran J., Hlupic V., Paul R., Hierarchical Framework for Evaluating Simulation Software, Simulation Practice and Theory, 7(3): 219–31 (1999).
[39] Tewoldeberhan T., Verbraeck A., Hlupic V., Implementing A Discrete Event Simulation Software Selection Methodology for Supporting Decision Making at Accenture, Journal of the Operational Research Society, 21(10): 1446– 58 (2010).
[40] Zakria G., Guan Z., Shao X., Riaz Y., Hameed U., Selection of Simulation Software for Manufacturing System: Application of Analytical Hierarchy Approach In Multi Criteria Decision Making, Advanced Science Letters, 4(6-7): 2152–2158 (2011).
[41] Hincu D., Andreica M., The Evaluation and Selecting Process for Simulation Software Using Fuzzy Sets, Metalurgia International, 17(3): 141–144 (2012).
[42] Baykasoğlu A., “Graph Theory” And “Matrix Method” Based Approach for Business Process Modeling/Simulation Software Selection, Journal of the Faculty of Engineering and Architecture of Gazi University, 28(3): 555– 566 (2013).
[43] Bo S., Yanming L., Establishment on Evaluation Indicator System for Power System Simulation Software, Open Electrical and Electronic Engineering Journal, 8(1): 372–378 (2014).
[44] Öztürk N., Çelikliay G., Öztürk F., Software Selection Management in Sheet Metal Fabrication Industry, Metall,  59(6): 382–387 (2005).
[45] Allcock A., Easy Software Selection, Machinery, 166(4157): 18–9 (2008).
[46] Zakria G., Guan Z., Riaz Y., Jahanzaib M., Khan A., Selecting and Prioritizing Key Factors for CAD/CAM Software in Small and Medium Sized Enterprises Using AHP, Frontiers of Mechanical Engineering in China, 5(2): 1571-64 (2010).
[47] Ayağ Z., A Combined Fuzzy AHP-Simulation Approach to CAD Software Selection, International Journal of General Systems, 39(7): 731–756
(2010).
[48] Roshanaei V., Vahdani B., Mousavi S.M., Mousakhani M., Zhang G., CAD/CAM System Selection: A Multi Component Hybrid Fuzzy MCDM Model, Arabian Journal for Science and Engineering, 38(9): 2579–2594 (2013).
[49] Prasad K., Chakraborty S., A QFD-Based Decision Making Model For Computer Aided Design Software Selection, International Journal of Industrial Engineering and Management, 7(2): 49–58 (2016).
 [50] Liberatore M., Pollack-Johnson B., Factors Influencing the Usage and Selection of Project Management Software, IEEE Transactions on Engineering Management, 50(2): 164–72 (2003).
[51] Fu C., Yang S.L., The Group Consensus Based Evidential Reasoning Approach for Multiple Attributive Group Decision Analysis, European Journal of Operational Research, 206(3): 601–608 (2010).
[52] Lee Y.C., Tang N.H., Sugumaran V., Open Source CRM Software Selection Using the Analytic Hierarchy Process, Information Systems Management, 31(1): 2–20 (2014).
[53] Omar M.F., Nursal A.T., Nawi M.N.M., Haron A.T., Goh K.C., A Preliminary Requirement of Decision Support System for Building Information Modelling Software Selection, Malaysian Construction Research Journal, 15(2): 11–28 (2014).
[54] Nursal A., Omar Mohd M., Nawi M., Case Study Methodology of DSS Development for BIM Software Selection in Construction Industry, American- Eurasian Journal of Sustainable Agriculture, 8(3): 81–5 (2014).
[55] Nursal A., Omar M., Nawi M., Decision Support Evaluation for Building Information Modeling Software Selection, Jurnal Teknologi, 75(9): 117-122 (2015a).
[56] Nursal A.T., Omar M.F., Nawi M.N.M., The Design of Topsis4bim Decision Support for Building Information Modeling Software Selection, Jurnal Teknologi, 77(5): 1–7 (2015b).
[57] Nursal A., Omar M., Nawi M., Asri M., Adoption of Cloud Based Decision Support System for Building Information Modeling Software Selection, Advanced Science Letters, 22(5-6): 1310–1313 (2016).
[58] Eldrandaly K., GIS Software Selection: A Multi Criteria Decision Making Approach, Applied GIS, 3(5):1-17 (2007).
[59] Eldrandaly K., Naguib S., A Knowledge-Based System for GIS Software Selection, International Arab Journal of Information Technology, 10(2): 152–159 (2013).
[60] De Heij J., The Use of Data Models for Assessing Standard Logistics Software, Computers in Industry, 25(2): 211–216 (1994).
[61] Sahay B., Gupta A., Development of Software Selection Criteria for Supply Chain Solutions, Industrial Management and Data Systems, 103(1- 2): 97–110 (2003).
[62] Ncube C., Maiden N., “Guiding Parallel Requirements Acquisition and COTS Software Selection”
In: Proceedings of the IEEE International Conference on Requirements Engineering, 133–140 (1999).
[63] Kunda D., STACE: “Social Technical Approach to COTS Software Evaluation”, Springer; Volume 2693 of Lecture Notes in Computer Science, 64–84 (2003).
[64] Brooks L., Kunda D., Social-Technical COTS Development: The STACE Contribution, Journal of Intelligent Systems, 15(1-4): 177–202 (2006).
[65] Ahmad N., Laplante P., Using the Analytical Hierarchy Process in Selecting Commercial Real Time Operating Systems, International Journal of Information Technology and Decision Making, 8(1): 151–168 (2009).
[66] Wybo M., Robert J., L´Eger P.M., Using Search Theory to Determine an Applications Selection Strategy, Information and Management, 46(5): 285–93 (2009).
[67] Nikoukaran J., Paul R., Software Selection for Simulation in Manufacturing: A Review, Simulation Practice and Theory, 7(1): 1–14 (1999).
[68] Şen C., Baraçlı H., Şen S., A Literature Review and Classification of Enterprise Software Selection Approaches, International Journal of Information Technology and Decision Making, 8(2): 217–238 (2009a).
[69] Al-Arfaj A., Al-Mudimigh A., Enterprise Software Selection Methodologies - A Brief Review, Information, 15(11B): 4813–4832 (2012).
[70] Le Blanc L., Jelassi T., An Empirical Assessment of Choice Models for Software Selection: A Comparison of The LWA and MAUT Techniques, Journal of Decision Systems, 3(2): 115–126 (1994).
[71] Lai V., Trueblood R., Wong B., Software Selection: A Case Study of the Application of the Analytical Hierarchical Process to the Selection of a Multimedia Authoring System, Information and Management, 36(4): 221–232 (1999).
[72] Lai V.S., Wong B.K., Cheung W., Group Decision Making in a Multiple Criteria Environment: A Case Using the AHP in Software Selection, European Journal of Operational Research, 137(1): 134–144 (2002).
[73] Okudan G., A Multi Criteria Decision Making Methodology for Optimum Selection of a Solid Modeler for Design Teaching and Practice, Journal of Engineering Design, 17(2): 159–175 (2006).
[74] Lin H.Y., Hsu P.Y., Yeh Y.T., Application of the AHP In Data Warehouse System Selection Decisions for Smes in Taiwan, International Journal of Management and Enterprise Development, 3(6): 599–617 (2006).
[75] Assadi P., Sowlati T., Design and Manufacturing Software Selection in the Wood Industry Using Analytic Hierarchy Process, International Journal of Business Innovation and Research, 3(2): 182–198 (2009).
[76] Kara S., Cheikhrouhou N., A Multi Criteria Group Decision Making Approach for Collaborative Software Selection Problem, Journal of Intelligent And Fuzzy Systems, 26(1): 37–47 (2014).
[77] Hanine M., Boutkhoum O., Tikniouine A., Agouti T., Application of an Integrated Multi-Criteria Decision Making AHP-TOPSIS Methodology for ETL Software Selection, Springer Plus, 5(1):1-17 (2016).
[78] Mulebeke J., Zheng L., Analytical Network Process for Software Selection in Product Development:
a Case Study, Journal of Engineering and Technology Management, 23(4): 337–352 (2006).
[79] Li X., Zhu D., Object Technology Software Selection: A Case Study, Annals of Operations Research, 185(1): 5–24 (2011).
[80] Kemp E., Phillips C., Pringle D., Hedderley D., Dickson B., Chan M., Software Selection for the Management and Prevention of RSI in a Diverse User Community, International Journal of Industrial Ergonomics, 29(1): 1–14 (2002).
[81] Brzozowska L., Computer Simulation of Impacts of a Chlorine Tanker Truck Accident, Transportation Research Part D: Transport and Environment, 43:107–122 (2016).
[82] Cao H., Li T., Li S., Fan T., An Integrated Emergency Response Model for Toxic Gas Release Accidents Based on Cellular Automata, Annals of Operations Research, 255: 617-638 (2017).
[83] Xing Z., Wang Y., Safety Assessment and Fire Design of the Synthesis and Refining Unit for Annual 10000t Methanol, Journal of Safety and Environment, 3 (2015).
[84] Norhamimi M.H., Libriati Z., Nordin Y., Norhazilan M.N., Environmental Loss Assessment for Gas Pipeline Failure by Considering Localize Factors Using Fuzzy Based Approach, Applied Mechanics and Materials, 735:163–167 (2015).
[85] Hossain M.F., Adnan Z.H, Hasin M.A.A., Improvement in Weighting Assignment Process in Analytic Hierarchy Process by Introducing Suggestion Matrix And Likert Scale, International Journal of Supply Chain Management, 3(4): 91–95 (2014).
[86] Likert R., A Technique for the Measurement of Attitudes, Archives of Psychology, 140:1–55 (1932).
[87] Oppenheim A.N., “Questionnaire Design, Interviewing and Attitude Measurement”, Pinter, London (1992).
[88] Cohen L., Manion L., Morrison K., “Research Methods in Education”, 6th ed. Routledge, London (2007).
[89] Marcomini A., Suter II G.W., Critto A., “Decision Support Systems for Risk Based Management of Contaminated Sites”, Springer Science and Business Media, New York (2008).
 [90] Ishizaka A., Lusti M., An Expert Module To Improve The Consistency of AHP Matrices, International Transactions in Operational Research, 11: 97-105 (2004).
[91] Yucheng W., Baoguo M., Zhaohan S., Ranking Method for the Reciprocal Judgment Matrix Based on the Unascertained Three Valued Judgments, Journal of Systems Engineering And Electronics, 17:115–120 (2006).
[92] Gass S.I., Standard S.M., Characteristics of Positive Reciprocal Matrices in the Analytic Hierarchy Process, Journal of the Operational Research Society, 53(12): 1385-1389 (2002).
[93] Carr M., Zwick P., Smart Land-Use Analysis: The LUCIS Model. Redlands: ESRI Press (2007).
[94] Badri M.A., A Combined AHP-GP Model for Quality Control Systems, International Journal of Production Economics, 72: 27–40 (2001).
[95] Lv J., Peng Q., Chen X., Sun Z., A Multi Objective Heuristic Algorithm for Gene Expression Microarray Data Classification, Expert Systems with Applications, 59:13–19 (2016).
[96] Petrillo A., De Felice F., Jannelli E., Autorino C., Minutillo M., Lavadera A.L., Life Cycle Assessment (LCA) And Life Cycle Cost (LCC) Analysis Model for a Stand-Alone Hybrid Renewable Energy System, Renewable Energy, 95: 337-355 (2016).
[97] Çevik Onar S., Büyüközkan G., Öztayşi B., Kahraman C., A New Hesitant Fuzzy QFD Approach: An Application To Computer Workstation Selection, Applied Soft Computing Journal, 46:1–16 (2016).
[98] Dede G., Kamalakis T., Sphicopoulos T., Theoretical Estimation of the Probability of Weight Rank Reversal in Pairwise Comparisons, European Journal of Operational Research, 252(2): 587–600 (2016).
[99] Hassanzadeh R., Nedovic-Budic Z., Where to Go First: Prioritization of Damaged Areas for Allocation of Urban Search and Rescue (USAR) Operations (PI-USAR Model). Geomatics, Natural Hazards and Risk, 7(4): 1337– 1366 (2016).
[100] Kramulova J., Jablonsky J., AHP Model for Competitiveness Analysis of Selected Countries, Central European Journal of Operations Research 24(2): 335–351 (2016).
[101] Albayrak E., Erensal Y.C., Using Analytic Hierarchy Process (AHP) to Improve Human Performance. an Application of Multiple Criteria Decision Making Problem, Journal of Intelligent Manufacturing, 15: 491–503 (2004).
[102] Dağdeviren M., Yavuz S., Kılınç N., Weapon Selection Using the AHP and TOPSIS Methods Under Fuzzy Environment, Expert Systems with Applications, 36: 8143–8151 (2009).
[103] Wang J.J., Yang D.L., Using A Hybrid Multi Criteria Decision Aid Method for Information Systems Outsourcing, Computers and Operation Research, 34: 3691–700 (2007).
Iranian Journal of Chemistry and Chemical Engineering
Volume 39, Issue 3 - Serial Number 101
May and June 2020
Pages 303-318

Files

Share

How to cite

Statistics