ANALYSIS OF PROCUREMENT POLICY FOR ROAD CONSTRUCTION BUSINESS
Article Sidebar
Main Article Content
Abstract
The procurement policy for machinery is important for the smooth operation of the road construction project. The policy analysis should cover both quantitative and qualitative factors which will be a better analysis than focusing on only quantitative factors. The objective of this research paper was to illustrate the policy analysis by using the analytic hierarchy process and the results to be determined as an organization's policy. The research has created a hierarchical decision structure consisting of five main criteria, six sub-criteria, and two alternative policies. The main criteria are machinery cost, maintainability, age, the ability of service providers, and economic value. Alternative policies include a new machine purchase policy and machinery restoration policy. For a case study of grader cars, the result of the machine replacement analysis showed that it was accepting the machinery restoration policy for all graders, which was different from the analysis results of the hierarchical analysis process, grader cars with 19-25 years of work, choose a new machinery purchase policy with significant weight 0.583 and grader cars with 3 to 5 years of work, choose machinery restoration policy with a significant weight of 0.504. The main criteria that were of the most important are the cost of machinery and ease of maintenance, with a significant weight of 0.381 and 0.421, respectively. The sub-criteria, fines from late delivery, and technological age had a significant weight of 0.592 and 0.750 respectively. Moreover, the use of machinery restoration policy resulted in the improvement of the grader cars to the availability values from 69% to 81.71%
Article Details
The published articles are copyright of the Engineering Journal of Research and Development, The Engineering Institute of Thailand Under H.M. The King's Patronage (EIT).
References
Ibrahim, M., Amund, B. and Nabil, M. D. Causes of delay in road construction projects. Journal of Management in Engineering, 2012, pp.300-10, DOI: 10.1061/(ASCE)ME.1943-5479.0000096
Kaliba, C., Muya, M. and Mumba, K. Cost escalation and schedule delays in road construction projects in Zambia. International Journal of Project Management, 2009, 27(5), pp.522–531. Available from: https://www.sciencedirect.com/science/article/abs/pii/S0263786308000951 [Accessed 29 December 2019].
Remon, F.A. and Asmaa, A.H. Exploring delay causes of road construction projects in Egypt. Alexandria Engineering Journal, 2016, pp. 1515-39. DOI: 10.1016/j.aej.2016.03.0061110-0168Ó2016
Thanapun Prasertrungruang and B.H.W. Hadikusumo. Heavy equipment management practices and problems in Thai highway contractors. Engineering, Construction and Architectural Management, 2007, 14(3), pp.228-241. DOI: 10.1108/09699980710744881
Pintelon, L. and Van Puyvelde, Maintenance decision Making. Leuven: Uitgeverij, 2006.
J.Jaturonnateea, D.N.P.MurthybR and Boondiskulchoka. Optimal preventive maintenance of leased equipment with corrective minimal repairs. European Journal of Operational Research, 2006, 174(1), pp. 201–215. DOI: 10.1016/j.ejor.2005.01.049
Prajeesh. V. P. and Mr. N. Sakthivel. Management of equipment and machinery in Construction. International Journal of Innovative Science, Engineering & Technology, 2016, 6(3), 2016, pp.113-118. Available from: http://ijiset.com/vol3/v3s5/IJISET_V3_I5_16.pdf [Accessed 17 November 2019].
Joseph, C.H. and Chin, H.T. Equipment replacement analysis: A literature review and directions for future research, The Engineering Economist, 2014, 59(2), pp.136-153, DOI: 10.1080/0013791X.2013.862891
Seif, J. and Rabbani, M. Component based life cycle costing in replacement decisions. Journal of Quality in Maintenance Engineering, 2014, 20(4), pp.436-452, DOI: 10.1108/JQME-08-2013-0053
Golmakani, H.R. and Pouresmaeeli, M. Optimal replacement policy for condition-based maintenance with non-decreasing failure cost and costly inspection, Journal of Quality in Maintenance Engineering, 2014, 20(1), pp.51-64, DOI: 10.1108/JQME-12-2012-0044
Al-Chalabi, H., Lundberg, J. and Ahmadi, J. Economic lifetime of a drilling machine: a case study on mining industry. International Journal Strategic Engineering Asset Management, 2015, 2(2), 177–189. DOI: 10.1080/0013791X.2014.952466
Douglas, L. Construction Equipment Policy. New York: McGraw-Hill, 1975.
Faisal, M. and Sharawi, A. Prioritize medical equipment replacement using analytical hierarchy process. Journal of Electrical and Electronics Engineering (IOSR-JEEE), 2015, 10(3), pp.55-63, DOI: 10.9790/1676-10325563
Taghipour, S., Banjevic, D. and Jardine, A.K.S. Prioritization of medical equipment for maintenance decisions. Journal of the Operational Research Society, 2010, pp.1–22, DOI: 10.1057/jors.2010.106
Saaty, T. L. The analytic hierarchy process: planning, priority setting, resource allocation. New York: McGraw-Hill, 1980.
Jardine, A.K.S. Operation research in maintenance. Manchester University Press, Mew York, 1970.
Ascher, H. and Feingold, H. Repairable systems reliability: modelling, inference, misconceptions and their cause. Marcel Dekker, Basel, 1984.
Sullivan, W. G., Wicks, E. M., and Keolling, C. P. Engineering economy (15th ed.). Upper Saddle River: Pearson Education, 2012.
จิตรา รู้กิจการพานิช และ ปาริสา ศิริพันธ์. การจัดการงานบำรุงรักษาในระดับปฏิบัติการสำหรับเครื่องจักรของงานสร้างถนน. วิศวกรรมสารฉบับวิจัยและพัฒนา, 2563, 31(3), pp. 187-204.
Jittra Rukijkanpanich and Panit Pasuk. Maintenance management for transportation process in quarry industry. Journal of Quality in Maintenance Engineering, 2018, 24, pp. 185-199.