DETERMINING THE IMPORTANCE GRADE OF THE FACTORS THAT LEAD TO COMPLEXITY IN PROJECTS WITH FUZZY ANALYTIC HIERARCHY PROCESS APPROACH

Yıl 2013, Cilt: 2 Sayı: 3, 20 - 33, 01.06.2013

Talha Ustasüleyman Pelin Çelik

Öz

The purpose of this paper is to determine the priorities of project complexity factors. For this purpose project complexity factors are decomposed into three groups as project size and variety, project system interdependencies and project system context-dependence and they are established as hierarchical structure. The hierarchical structure for the purposed framework is evaluated by using fuzzy analytic hierarchy process method. The study showed that the group of “project system size and varitety” are the most important criteria in the project complexity factors. In additon, “number of stakeholders” under project system size and variety main factor group, “dependencies with the environment” under project system interdepencies main factor group and “cultural configuration and variety” under project system context dependence main factor group are the most important criteria found in project complexity factors.

Anahtar Kelimeler

Project, Project Complexity, Fuzzy Analytic Hierarchy Process.

BULANIK ANALİTİK HİYERARŞİ SÜRECİ YAKLAŞIMI İLE PROJELERDE KARMAŞIKLIĞA NEDEN OLAN FAKTÖRLERİN ÖNEM DERECESİNİN BELİRLENMESİ

Öz

Bu çalışmada proje karmaşıklığına sebep olan faktörlerin önem derecesinin belirlenmesi amaçlanmıştır. Bu amaçla proje karmaşıklığına sebep olan faktörler; projenin boyutu ve çeşitliliği, projenin bağlılığı ve projenin şartları olmak üzere üç grupta toplanarak hiyerarşik bir yapı oluşturulmuştur. Oluşturulan hiyerarşik yapı Bulanık Analitik Hiyerarşi Süreci (BAHS) Yaklaşımı ile değerlendirilerek proje karmaşıklığına neden olan faktörlerin önem derecesi belirlenmiştir. Yapılan değerlendirme sonucunda en önemli faktör grubunun “projenin boyutu ve çeşitliliği” olduğu görülmüştür. Ayrıca projenin boyutu ve çeşitliliğini içeren ana faktör grubunda “paydaşların sayısı”, projenin bağlılığı ana faktör grubunda “çevreyle bağlılık” ve projenin şartları ana faktör grubunda ise “kültürel düzen ve çeşitliliğin” en önemli faktörler olduğu ortaya çıkmıştır.

Anahtar Kelimeler

Proje, Proje Karmaşıklığı, Bulanık Analitik Hiyerarşi Süreci.

Kaynakça

• Baccarini, David (1996), “The Concept of Project Complexity: A Review”, International Journal of Project Management (14), 4, 201-204.
• Büyüközkan, G.; Çifci, G.; Guleryuz, S. (2011) “Strategic Analysis of Healthcare Service Quality Using Fuzzy AHP Methodology” Expert Systems with Applications, 1-18.
• Calabrese, Armando; Costa, Roberta; Menichini, Tamara (2013), “Using Fuzzy AHP to Manage Intellectual Capital Assets: An Application to the ICT Service Industry”, Expert Systems with Applications, 40 (9), 3447-3755.
• Cardoso, J.; Mendling, J.; Neumann, G.; Reijers, H. A. (2006), “A Discourse on Complexity of Process Models”, Business Process Management Workshops Lecture Notes in Computer Science, LNCS 4103, 1171
• Chaghooshi, Ahmad Jafarnejad; Safari, Hossein; Fathi, Mohammad Reza (2012), “Integration of Fuzzy AHP and Fuzzy GTMA for Location Selection of Gas Pressure Reducing Stations: A Case Study”, Journal of Management Research, 4 (3), 152-169.
• Chan, F. T.S. ve Kumar N. (2007), “Global Supplier Development Considering Risk Factors Using Fuzzy Extended AHP-based Approach”, Omega, 35( 4), 417-431.
• Chamodrakas, I.; Batis, D.; Martakos D. (2010), “Supplier Selection in Electronic Marketplaces Using Satisfiying and Fuzzy AHP”, Expert Systems with Applications, 37, 490–498.
• Che, Z.H.; Wang, H.S.; Chuang, Chih-Ling (2010), “A fuzzy AHP and DEA Approach For Making Bank Loan Decisions For Small And Medium Enterprises in Taiwan”, Expert Systems with Applications, 37, 7189-7199.
• Chou, Ying-Chyi; Sun, Chia-Chi; Yen, Hsin-Yi (2012), “Evaluating the Criteria for Human Resource for Science and Technology (HRST) Based on an Integrated Fuzzy AHP and Fuzzy Dematel Approach”, Applied Soft Computing, 12, 64-71.
• Chu, Dominique; Strand, Roger; Fjelland, Ragnar (2003), “Theories of Complexity”, Wiley Periodicals, 8 (3), 19-30.
• Çebi, S.; Çelik M.; Kahraman, C. (2008), “Gemi Sistemleri İçin Entegre Bakım-Onarım Yönetimi Gereksiniminin Analizi”, Havacılık Ve Uzay Teknolojileri Dergisi, 3 (4), 17-24
• Duru, Okan; Bulut, Emrah; Yoshida, Shigeru (2012), “Regime Switching Fuzzy AHP Model For ChoiceVarying Priorities Problem and Expert Consistency Prioritization: A Cubic Fuzzy-Priority Matrix Design”, Expert Systems with Applications, 39, 4954-4964.
• Hameri, Ari-Pekka (1997), “Project Management in a Long-Term and Global One-Of-A-Kind Project”, International Journal of Project Management (15), 3, 151-157.
• Heising, Wilderich (2012), “The Integration of Ideation and Project Portfolio Management-A Key Factor For Sustainable Success”, International Journal of Project Management, 30, 582–595.
• Heylighen, Francis; Cilliers, Paul; Gershenson, Carlos (2011),”Complexity and Philosophy”, Book Chapter.
• Ho, Chao Chung (2012), “Construct Factor Evaluation Model of Health Management Center Selected By Customers With Fuzzy Analytic Hierarchy Process”, Expert Systems with Applications, 39, 954-959.
• Huang, C.C.; Chu, P.-Y.; Chiang, Y. H. (2008) “A Fuzzy AHP Application in Government-Sponsored R&D Project Selection” Omega, 36(6), 1038-1052.
• Ireland Lew (2007), “Project Complexity: A Brief Exposure To Difficult Situations”, PrezSez, published at the asapm website: www.asapm.org.
• Ishizaka, Alessio ve HOANG N. (2013), “Calibrated Fuzzy AHP for Current Bank Account Selection”, Expert Systems with Applications, 40 (9), 3775-3783.
• Ishizaka, A. ve Labib A. (2011), “Selection of New Production Facilities With The Group Analytic Hierarchy Process Ordering Method” Expert Systems with Applications, 38, 7317–7325.
• Javanbarg, Mohammad Bagher; Scawthorn, Charles; Kiyono, Junji; Shahbodaghkhan, Babak (2012), “Fuzzy AHP-Based Multicriteria Decision Making Systems Using Particle Swarm Optimization”, Expert Systems with Applications, 39, 960–966.
• Ju, Yanbing; Wang, Aihua; Liu, Xiaoyue (2012), “Evaluating Emergency Response Capacity By Fuzzy AHP and 2-tuple Fuzzy Linguistic Approach”, Expert Systems with Applications 39, 6972–6981.
• Jung H. (2011), “A Fuzzy AHP–GP Approach For Integrated Production-Planning Considering Manufacturing Partners”, Expert Systems with Applications, 38(5), 5833-5840.
• Karimi, A.R.; Mehrdadi, N.; Hashemian, S.J.; Nabi-Bidhendi, Gh. R.; Tavakkoli-Moghaddam R. (2011), “Using of the Fuzzy TOPSIS and Fuzzy AHP Methods for Wastewater Treatment Process Selection”, International Journal of Academic Research, 3 (1), 737-745.
• Kilinççi, O. ve Önal S.A. (2011), “Fuzzy AHP Approach For Supplier Selection in A Washing Machine Company”, Expert Systems with Applications, 38 (8), 9665-9664.
• Lam, P. K. ve Chin, K. S. (2005), “Identifying and Prioritizing Critical Success Factors for Conflict Management in Collaborative New Product Development”, Industrial Marketing Management, 34, 761– 772. Lee, S.K.; Mogi, G.; Jong Kim, J.W.; Gim B.J. (2008), “A Fuzzy Analytic Hierarchy Process Approach For Assessing National Competitiveness İn The Hydrogen Technology Sector” International Journal of Hydrogen Energy, 33(23), 6840-6848
• Li, Tiejun; Jin, Jianhua; Li, Chunquan (2012), “Refractured Well Selection for Multicriteria Group Decision Making by Integrating Fuzzy AHP With Fuzzy TOPSIS Based on Interval-Typed Fuzzy Numbers”, Hindawi Publishing Corporation Journal of Applied Mathematics, 1-20.
• Mahmoodzadeh, S.; Shahrabi, J.; Pariazar, M.; Zaeri, M. S. (2007), “Project Selection by Using Fuzzy AHP and TOPSIS Technique”, International Journal of Humanities and Social Sciences, 1 (3), 135-140.
• Martin, A. (2000), “A Simulation Engine For Custom Project Management Education”, International Journal of Project Management, 18, 201-213.
• Marques, Guillaume; Gourc Didier; Lauras Matthieu (2010), “Multi-Criteria Performance Analysis For Decision Making in Project Management”, International Journal of Project Management 29, 1057–1069.
• Maylor, Harvey; Vidgen, Richard; Carver, Stephen (2008), “Managerial Complexity in Project-Based Operations: A Grounded Model and Its Implications for Practice”, Project Management Journal, (39), 15–26. Mota, Caroline Maria De Miranda; Almeida, Adiel Teixeira De; Alencar, Luciana Hazin (2009), “A Multiple Criteria Decision Model For Assigning Priorities To Activities in Project Management”, International Journal of Project Management, 27, 175–181.
• Nassar, Khaled M.; Hegab, Mohamed Y.; E., P.; Asce, M. (2006), “Developing a Complexity Measure for Project Schedules”, Journal Of Constructıon Engineering and Management, 132 (6), 554-561.
• Nepal, B.; Yadav, O.P.; Murat A. (2010) “A Fuzzy-AHP Approach To Prioritization of CS Attributes İn Target Planning For Automotive Product Development”, Expert Systems with Applications, 37, 6775–6786. Organ, Arzu ve Kenger, Murat Deniz (2012), “Bulanık Analitik Hiyerarşi Süreci ve Mortgage Banka Kredisi Seçim Problemine Uygulanması”, Niğde Üniversitesi İİBF Dergisi, 5 (2), 119-135.
• Özdemir, A. İ. ve Seçme G. (2009), “Tedarik Zinciri Ağ Tasarımına Bulanık Ulaştırma Modeli Yaklaşımı”, Erciyes Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 32, 219-237.
• Rao, R.V. (2008), “Evaluating Flexible Manufacturing Systems Using A Combined Multiple Attribute Decision Making Method” International Journal of Production Research, 46 (7), 1975–1989.
• Seçme, N.Y., Bayrakdaroğlu, A.; Kahraman C. (2009) “Fuzzy performance Evaluation in Turkish Banking Sector Using Fuzzy Analytic Hierarchy Process and TOPSIS”, Expert Systems with Applications, 36 (9), 11699-11709.
• Shahriari, Gholamreza; Hosseini, Seyyed S. M.; Hosseinalipoor (2011), “Optimal Sustainable Energy Portfolio in Tehran Province Industries Using Fuzzy AHP”, Australian Journal of Basic and Applied Sciences, 5 (12), 2584-2594.
• Shaw, Krishnendu; Shankar, Ravi; Yadav, Surenda S.; Thakur, Lakshman S. (2012), “Supplier Selection Using Fuzzy AHP and Fuzzy Multi-Objective Linear Programming For Developing Low Carbon Supply Chain”, Expert Systems with Applications, 39, 8182–8192.
• Thomas Janice ve Mengel Thomas (2008), “Preparing Project Managers To Deal With Complexity – Advanced Project Management Education”, International Journal of Project Management, 26, 304-315.
• Vidal Ludovic-Alexandre; Marle Franck; Bocquet Jean-Claude, (2011a), “Using a Delphi Process and the Analytic Hierarchy Process (AHP) to Evaluate the Complexity of Projects”, Expert Systems with Applications, 38, 5388–5405.
• Vidal, Ludocic-Alexandre; Marle, Franck; Bocquet, Jean-Claude (2011b), “Measuring Project Complexity Using the Analytic Hierarchy Process”, International Journal of Project Management, 29, 718-727.
• Wang, Xiaojun; Chan, Hing Kai; Yee, Rachel W.Y.; Diaz-Rainey, Ivan (2011), A Two-Stage Fuzzy-AHP Model For Risk Assessment Of Implementing Green Initiatives in The Fashion Supply Chain, Int. J. Production Economics, 135, 595-606.
• Whitty Stephen Jonathan ve Maylor Harvey (2009), “And Then Came Complex Project Management (revised)”, International Journal of Project Management 27, 304–310.
• Zheng, Guozhong; Zhu, Neng; Tian, Zhe; Chen, Ying; Sun, Binhui (2012), “Application of A Trapezoidal Fuzzy AHP Method for Work Safety Evaluation and Early Warning Rating of Hot and Humid Environments”, Safety Science, 50, 228-239.