A hybrid mathematical programming model for optimal project portfolio selection using fuzzy inference system and analytic hierarchy process.

The primary goal in project portfolio management is to select and manage the optimal set of projects that contribute the maximum in business value. However, selecting Information Technology (IT) projects is a difficult task due to the complexities and uncertainties inherent in the strategic-operational nature of the process, and the existence of both quantitative and qualitative criteria. We propose a two-stage process to select an optimal project portfolio with the aim of maximizing project benefits and minimizing project risks. We construct a two-stage hybrid mathematical programming model by integrating Fuzzy Analytic Hierarchy Process (FAHP) with Fuzzy Inference System (FIS). This hybrid framework provides the ability to consider both the quantitative and qualitative criteria while considering budget constraints and project risks. We also present a real-world case study in the cybersecurity industry to exhibit the applicability and demonstrate the efficacy of our proposed method.

[1]  Jack E. Triplett,et al.  What's New About the New Economy? IT, Economic Growth and Productivity , 2001 .

[2]  Marc J. Schniederjans,et al.  A zero-one goal programming approach for information system project selection , 1989 .

[3]  V. Cherkassky.  Fuzzy Inference Systems: A Critical Review , 1998 .

[4]  Kannan Govindan,et al.  Multi criteria decision making approaches for green supplier evaluation and selection: a literature review , 2015 .

[5]  Özer Uygun,et al.  An integrated DEMATEL and Fuzzy ANP techniques for evaluation and selection of outsourcing provider for a telecommunication company , 2015, Comput. Ind. Eng..

[6]  Madjid Tavana,et al.  A fuzzy inference system with application to player selection and team formation in multi-player sports , 2013 .

[7]  Madjid Tavana,et al.  A multi-attribute group decision support system for information technology project selection , 2010, Int. J. Bus. Inf. Syst..

[8]  Hepu Deng,et al.  Multicriteria Decision Making for Evaluating and Selecting Information Systems Projects: A Sustainability Perspective , 2019, Sustainability.

[9]  Anié Bermudez Peña,et al.  An Adaptive-Network-Based Fuzzy Inference System for Project Evaluation 1 * Sistema de inferencia borroso basado en redes adaptativas para la evaluación de proyectos 2 , 2015 .

[10]  Qing Li,et al.  Enterprise information system project selection with regard to BOCR , 2008 .

[11]  Soroosh Nalchigar,et al.  Information technology project evaluation: An integrated data envelopment analysis and balanced scorecard approach , 2010, Expert Syst. Appl..

[12]  Shinhong Kim,et al.  An integrated approach for interdependent information system project selection , 2001 .

[13]  Madjid Tavana,et al.  A methodology for selecting portfolios of projects with interactions and under uncertainty , 2012 .

[14]  Masood A. Badri,et al.  A comprehensive 0-1 goal programming model for project selection , 2001 .

[15]  Cengiz Kahraman,et al.  Fuzzy Multicriteria Decision-Making: A Literature Review , 2015, Int. J. Comput. Intell. Syst..

[16]  Wen-Chin Chen,et al.  A fuzzy AHP and BSC approach for evaluating performance of IT department in the manufacturing industry in Taiwan , 2008, Expert Syst. Appl..

[17]  Ramiro Concepción,et al.  An intuitionistic method for the selection of a risk management approach to information technology projects , 2017, Inf. Sci..

[18]  Amir Hossein Ghapanchi,et al.  An Application of Data Envelopment Analysis (DEA) for ERP System Selection: Case of a Petrochemical Company , 2008, ICIS.

[19]  Basar Oztaysi,et al.  A decision model for information technology selection using AHP integrated TOPSIS-Grey , 2014 .

[20]  Yiğit Kazançoğlu,et al.  Integrated Fuzzy Analytic Network Process And 0-1 Goal Programming Technique For Enterprise Resource Planning (Erp) Software Selection , 2019, Ege Akademik Bakis (Ege Academic Review).

[21]  Metin Dagdeviren,et al.  A fuzzy analytic network process (ANP) model for measurement of the sectoral competititon level (SCL) , 2010, Expert Syst. Appl..

[22]  R. Stewart,et al.  IT/IS projects selection using multi‐criteria utility theory , 2002 .

[23]  Basar Oztaysi,et al.  A Group Decision Making Approach Using Interval Type-2 Fuzzy AHP for Enterprise Information Systems Project Selection , 2015, SOCO 2015.

[24]  Edmundas Kazimieras Zavadskas,et al.  Fuzzy multiple criteria decision-making techniques and applications - Two decades review from 1994 to 2014 , 2015, Expert Syst. Appl..

[25]  Anupam Haldar,et al.  A framework for managing uncertainty in information system project selection: an intelligent fuzzy approach , 2019, International Journal of Management Science and Engineering Management.

[26]  Fatima Perez,et al.  Multiobjective project portfolio selection with fuzzy constraints , 2016, Ann. Oper. Res..

[27]  Madjid Tavana,et al.  A fuzzy hybrid project portfolio selection method using Data Envelopment Analysis, TOPSIS and Integer Programming , 2015, Expert Syst. Appl..

[28]  E. Brynjolfsson,et al.  Beyond Computation: Information Technology, Organizational Transformation and Business Performance , 2000 .

[29]  Francisco Ortega,et al.  A method for the evaluation of risk in IT projects , 2016, Expert Syst. Appl..

[30]  Joseph C. Paradi,et al.  Information systems project prioritization using data envelopment analysis , 2005, Math. Comput. Model..

[31]  Mehdi Toloo,et al.  Selecting most efficient information system projects in presence of user subjective opinions: a DEA approach , 2018, Central Eur. J. Oper. Res..

[32]  Guohe Huang,et al.  Planning regional energy system in association with greenhouse gas mitigation under uncertainty , 2011 .

[33]  Yael Grushka-Cockayne,et al.  The impact of project portfolio management on information technology projects , 2005 .

[34]  Jianping Shen,et al.  Using logic model and visualization to conduct portfolio evaluation. , 2019, Evaluation and program planning.

[35]  Radhika Santhanam,et al.  A DECISION MODEL FOR INTERDEPENDENT INFORMATION SYSTEM PROJECT SELECTION , 1996 .

[36]  Shinhong Kim,et al.  Determination of information system development priority using quality function development , 1998 .

[37]  Marc J. Schniederjans,et al.  Using the analytic hierarchy process and goal programming for information system project selection , 1991, Inf. Manag..

[38]  Jurgita Antucheviciene,et al.  Hybrid multiple criteria decision-making methods: a review of applications for sustainability issues , 2016 .

[39]  Yunna Wu,et al.  Site selection decision framework using fuzzy ANP-VIKOR for large commercial rooftop PV system based on sustainability perspective , 2018, Sustainable Cities and Society.

[40]  Soung Hie Kim,et al.  Using analytic network process and goal programming for interdependent information system project selection , 2000, Comput. Oper. Res..

[41]  H. Zimmermann.  Fuzzy programming and linear programming with several objective functions , 1978 .

[42]  David L. Olson,et al.  An Empirical Assessment of IT Project Selection and Evaluation Methods in State Government , 2008 .

[43]  Cengiz Kahraman,et al.  Multi-attribute information technology project selection using fuzzy axiomatic design , 2005, J. Enterp. Inf. Manag..

[44]  Ardeshir Bahreininejad,et al.  Sustainable supplier selection: A ranking model based on fuzzy inference system , 2012, Appl. Soft Comput..