• ISSN: 2148-2225 (online)

Ulaştırma ve Lojistik Kongreleri

alphanumeric journal

The Journal of Operations Research, Statistics, Econometrics and Management Information Systems

Multi-Objective Optimization Of Build-Operate-Transfer (BOT) Tender Problem For Private Sector Companies

bib

Elif Acar, Ph.D.

Hasan Durucasu, Ph.D.


Abstract

Today, around the world, Build-Operate-Transfer (BOT) project finance model is used frequently in numerous projects. One key aspect to the success of project company who wishing to gain BOT tender is to prepare a financial package consistent with the expectations of the related participants in accordance with BOT contract. The debt to equity ratio, the concession length and the unit prices are the important financial decision variables to be determined by the project company. The objective of this paper is to present financial optimization model including two different procurement objectives; (1) potential of winning a BOT project and (2) potential of finding debt. The optimization model solved by multi-objective evolutionary algorithm generate a set of pareto solutions to help project company assess the trade-offs between the two competing objectives. To show application of the model, a real airport YİD project in Turkey study is conducted.

Keywords: Build Operate Transfer, Evolutionary Algorithm, Financial Optimization, Multi-Objective Model, Pareto-optimal

Jel Classification: C39, C61, D22

Özel Sektör Şirketleri İçin YİD İhale Probleminin Çok Amaçlı Optimizasyonu


Öz

Bugün dünyada pek çok projede Yap İşlet Devret (YİD) proje finansman modelinin sıklıkla kullanıldığını gözlemlemekteyiz. YİD ihalesini kazanmak isteyen proje şirketinin başarısı için kilit görüş, YİD sözleşmesi gereğince ilişkide olduğu tarafların beklentileriyle uyumlu finansal bir paket hazırlamasıdır. Proje şirketinin belirleyeceği özsermaye borç oranı, imtiyaz (çalışma) süresi ve ürün/hizmetlerin birim fiyatları önemli finansal karar değişkenleridir. Proje şirketinin ihaleyi kazanma potansiyeli ve borç bulma potansiyeli iki farklı ihale hedefidir. Çalışmanın amacı, bu hedefleri içeren finansal optimizasyon modelini sunmaktır. Çok amaçlı evrimsel algoritma ile çözümlenen model, pareto çözümler kümesi sunarak, iki çelişen amaç arasındaki değişimi değerlendirmede karar vericilere yardımcı olmaktadır. Modelin uygulaması için Türkiye’deki bir havaalanı YİD projesi verileri kullanılmıştır.

Anahtar Kelimeler: Evrimsel Algoritma, Finansal Optimizasyon, Pareto-Optimal, Yap İşlet Devret, Çok Amaçlı Model


Suggested citation

Acar, E. & Durucasu, H. (). Özel Sektör Şirketleri İçin YİD İhale Probleminin Çok Amaçlı Optimizasyonu. Alphanumeric Journal, 2(2), 37-50. http://dx.doi.org/10.17093/aj.2014.2.2.5000083954

References

  • Akintoye A., Hardcastle C., Beck M., Chinyio E., Asenova D., (2003). Achieving Best Value in Private Finance İnitiative Project Procurement, Construction Management and Economics 21(5), 461-470.
  • Bakatjan S., Arikan M., Tiong R. L. K., (2003). Optimal Capital Structure Model for BOT Power Projects in Turkey, ASCE, J. Constr. Engrg. and Mgmt. 129(1), 89-97.
  • Başer M., (2000). Proje Finansmanında Bir Araç Olarak Yid Modeli ve İzmit Büyükşehir Belediyesi Su Temin Projesinde Modelin Uygulanışı, Eskişehir: Doktora Tezi.
  • Coello Coello C.A., Van Veldhuizen D.A., Lamont G.B., (2002). Evolutionary Algorithms For Solving Multi-Objective Problems, Kluwer Academic, New York.
  • Duman S., Öztürk A., Tutkun N., (2011). Güç Sistemi Kararlı Kılıcısı için Diferansiyel Evrim Algoritması Kullanarak PID Kontrolör Parametrelerinin Belirlenmesi, Elazığ: 6 th International Advanced Technologies Symposium (IATS’11).
  • Durucasu H., Acar E., (2014). Use of Evolutionary Algorithm in the Investment Project Evaluation, Global Interdıscıplınary Busıness-Economıcs Advancement Conference (GIBA), May 15-18, Florida, USA, 2333-4207, p. 251-260.
  • Ersönmez C., (1995). Yap İşlet Devret Modeli ve Modelin Finansmanına İlişkin Bir Analiz, Uzmanlık Tezi, Ankara: Hazine ve Dış Ticaret Müsteşarlığı.
  • Goldberg D. E., (1989). Genetic Algorithms in Search, Optimization, and Machine Learning, Addison-Wesley Pub. Co., Reading, Mass.
  • Islam M., (2008). Optimizing Concessionary Items' Values For Procuring Privately Financed Infrastructure Projects. Ph.D Thesis. Australia: Griffith University.
  • Islam M.M., Mohamed, S., Blumenstein M., (2006). Towards an Optimal Financial Investment Decısıon In Buıld-Operate-Transfer Projects Usıng Genetıc Algorıthms, Proceedings of the Third Joint International Conferencce on Computing and Decision Making in Civil and Building Engineering, June 14-16, Montreal, Canada, 1554-1563.
  • Iyer K.C ., Sagheer M., (2012). Optimization of Bid-Winning Potential and Capital Structure for Build-Operate-Transfer Road Projects in India, J. Manage. Eng., 28(2), 104–113.
  • Kapanoğlu M., (2011).Genetik Algoritma Ders Notları, Eskişehir: Osmangazi Üniversitesi.
  • Lang L.H.P., (1998). Project finance in Asia. Amsterdam: Elsevier Science B.V.
  • Liou F., Yang C., Chen B., Chen W., (2011). Identifying The Pareto‐Front Approximation for Negotiations Of BOT Contracts With A Multi‐Objective Genetic Algorithm. Construction Management & Economics. Taylor and Francis Journals 0144-6193. - Vol. 29.2011, 5, p. 535-548.
  • Liu B., Fernandez V., Zhang Q., Pak M., Sipahi S., Fellow G. G., (2010). An Enhanced MOEA/D-DE And Its Application To Multiobjective Analog Cell Sizing, IEEE, Congress on Evolutionary Computation 978-1-4244-8126-2/10.
  • Pak M., (2011). An Enhanced Multi-Objectıve Evolutionary Algorithm (MOEA/D-DE) For The Applications Of Analog Sizing With Both W/L And A Novel Operating Point Driven (Opd) Based Methods. Yüksek Lisans Tezi, Turkiye, Istanbul: Boğaziçi Universitesi.
  • Ranasinghe M., (1999). Private Sector Participation in Infrastructure Projects: A Methodology to Analyse Viability of BOT, Construction Management and Economics 17(5), 613-623.
  • Sağ T., Çunkaş M., (2009). Çok amaçlı Genetik Algoritmalar İçin Bir Çevrimdışı Performans Değerlendirmesi. 5. Uluslararası İleri Teknolojiler Sempozyumu (IATS’09). Karabük: Karabük Üniversitesi.
  • Tapia C.G., Murtagh B.A., (1991). Interactive Fuzzy Programming With Preference Criteria İn Multiobjective Decision Making. Computers and Operational Research 18, 307-318.
  • Tiong R.L.K., (1996). CSFs in Competitive Tendering And Negotiation Model For BOT Projects. Journal Of Construction Enginering And Management 122(3), 205-211.
  • Wang L., Singh C., (2007). Environmental/Economic Power Dispatch Using A Fuzzified Multi-Objective Partical Swarm Optimization Algorithm, Electric Power Systems Research 77(12), 1654-1664.
  • Yun S., Han S. H., Kim H., Ock J. H., (2009). Capital Structure Optimization for Build-Operate-Transfer (BOT) Projects Using A Stochastic and Multi-Objective Approach, Canadian Journal of Civil Engineering 36, 777–790.
  • Zhang X., (2005). Financial Viability Analysis and Capital Structure Optimization in Privatized Public Infrastructure Projects, Journal of Construction Engineering and Management (131)6, 656-668.

Volume 2, Issue 2, 2014

2014.02.02.OR.01

alphanumeric journal

Volume 2, Issue 2, 2014

Pages 37-50

Received: Aug. 26, 2014

Accepted: Dec. 11, 2014

Published: Dec. 31, 2014

Full Text [749.3 KB]

2014 Acar, E., Durucasu, H.

This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence, which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.

Creative Commons Attribution licence

scan QR code to access this article from your mobile device


Contact Us

Faculty of Transportation and Logistics, Istanbul University
Beyazit Campus 34452 Fatih/Istanbul/TURKEY

Bahadır Fatih Yıldırım, Ph.D.
editor@alphanumericjournal.com
+ 90 (212) 440 00 00 - 13219

alphanumeric journal

alphanumeric journal has been publishing as "International Peer-Reviewed Journal" every six months since 2013. alphanumeric serves as a vehicle for researchers and practitioners in the field of quantitative methods, and is enabling a process of sharing in all fields related to the operations research, statistics, econometrics and management informations systems in order to enhance the quality on a globe scale.