THE ANALYTIC HIERARCHY PROCESS METHOD TO DESIGN STRATEGIC DECISION MAKING FOR THE EFFECTIVE ASSESSMENT OF SUPPLIER SELECTION IN CONSTRUCTION INDUSTRY

Abstract

Purpose - Endemic uncertainty of the environment within a limited time framework tend to complicate the decision-making process. This study aims to analyze the selection of the optimal supplier that meets the necessary criteria such as product features, supplier features, and delivery conditions.

Methodology - Increasing market pressure in the construction industry compels companies to make quick and good decisions conducting strategic analyses. In this regard, information asymmetry is a crucial concept that requires managers to use different models during the decision-making process not only for their own benefit but also for the sake of all stakeholders. Analytic Hierarchy Process Method is used to evaluate suppliers’ characteristics that tend to consist of numerous interdependent variables and complex relationships.

Findings - Supplier A has relatively better product features and supplier features. Addressing fundamental issues in supplier selection has been increasingly gaining ground in the construction industry in order to maintain a competitive advantage in regard to both cost and time efficiency as well as sustainability.

Conclusion - Companies operate in an environment where decisions are ought to be handled in a rather holistic way. When managers are about to make robust decisions, they are ultimately obliged to feel responsible to both the company and various groups of stakeholders. Overall, decision-making is of vital importance for corporates both in a macro perspective due to existing ecological concerns and also in a micro perspective in terms of sustainability.

Keywords

• Analytic Hierarchy Process,strategy,decision-making,supplier selection,construction industry

References

1. Aslan, I., & Çınar, O. (2012). Ranking and evaluating new Asian suppliers with European suppliers based on performance criteria, 7th International Scientific Conference, Business and Management, Vilnius, Lithuania; 949-956
2. Bayazit, O. (2006). Use of analytic network process in vendor selection decisions. Benchmarking: An International Journal, 13(5), 566-579.
3. de FSM Russo, R., & Camanho, R. (2015). Criteria in AHP: a systematic review of literature. Procedia Computer Science, 55, 1123-1132.
4. Faridi, A. S., & El‐Sayegh, S. M. (2006). Significant factors causing delay in the UAE construction industry. Construction Management and Economics, 24(11), 1167-1176.
5. Gadde, L. E., & Dubois, A. (2010). Partnering in the construction industry: Problems and opportunities. Journal of purchasing and supply management, 16(4), 254-263.
6. Gosling, J., Purvis, L., & Naim, M. M. (2010). Supply chain flexibility as a determinant of supplier selection. International Journal of Production Economics, 128(1), 11-21.
7. Jabbarzadeh, A. (2018). Application of the AHP and TOPSIS in project management. Journal of Project Management, 3(2), 125-130.
8. Kahraman, C., Cebeci, U., & Ulukan, Z. (2003). Multi-criteria supplier selection using fuzzy AHP. Logistics information management, 16(6), 382-394.

9. Kuo, R. J., Chi, S. C., & Kao, S. S. (1999). A decision support system for locating convenience store through fuzzy AHP. Computers & Industrial Engineering, 37(1-2), 323-326.
10. Mandal, A., & Deshmukh, S. G. (1994). Vendor selection using interpretive structural modelling (ISM). International Journal of Operations & Production Management, 14(6), 52-59.
11. Ömürbek, N., Şimşek, A. (2014). Analitik Hiyerarşi Süreci ve Analitik Ağ Süreci Yöntemleri ileOnline Alışveriş Site Seçimi. Yönetim ve Ekonomi Araştırmaları Dergisi, 22, 306-327.
12. Patil, S. K., & Kant, R. (2014). A fuzzy AHP-TOPSIS framework for ranking the solutions of Knowledge Management adoption in Supply Chain to overcome its barriers. Expert systems with applications, 41(2), 679-693.
13. Porter, M. E. (2008). The five competitive forces that shape strategy. Harvard business review, 86(1), 25-40.
14. Sambasivan, M., & Soon, Y. W. (2007). Causes and effects of delays in Malaysian construction industry. International Journal of project management, 25(5), 517-526.
15. Sarkis, J., & Dhavale, D. G. (2015). Supplier selection for sustainable operations: A triple-bottom-line approach using a Bayesian framework. International Journal of Production Economics, 166, 177-191.
16. Tam, M. C., & Tummala, V. R. (2001). An application of the AHP in vendor selection of a telecommunications system. Omega, 29(2), 171-182.
17. Yüksel, İ., & Dağdeviren, M. (2010). Using the fuzzy analytic network process (ANP) for Balanced Scorecard (BSC): A case study for a manufacturing firm. Expert Systems with Applications, 37(2), 1270-1278.