A Multi-criteria decision support system for optimal allocation of subcontractors in construction projects

Download
index.pdf
2016
Akkerman, Semih
Show full item record
231
views
86
downloads
Achieving the success in a construction project requires ultimate harmony of numerous disciplines that are involved in. In a construction project, in order to reach the targeted cost, time and quality performance, the allocation of the appropriate subcontractors to the appropriate parts of the work is essential. This thesis presents a multi-criteria decision support system using Analytical Network Process (ANP) and Pareto Front Optimization in order to select the most eligible subcontractors for core and shell works in a construction project. The main purpose of the thesis is to develop a multi-criteria decision support system for subcontractor selection in construction projects. For this purpose, a 4-module tool is created using MS Excel and Visual Basic for Applications (VBA) which assess the tendering stage of a core and shell project portfolio limited to 15 work parts and 35 candidate subcontractors. Within the process, the weights of the factors affecting the “credibility” of the candidate subcontractors are determined by the decision maker using 15 predefined credibility factors obtained from a comprehensive literature research. The relevant information is gathered from the candidate subcontractors and final credibility indexes of each subcontractor are determined using the Analytical Network Process. Finally, the bids are gathered from the candidate subcontractors and the tender matrix is constructed considering the eligibility of the subcontractors due to their limitations regarding project timing out, bank references, and work completion. The cumulative cost versus credibility plots belonging different allocation scenarios are drawn using a heuristic optimization algorithm and Pareto optimal solutions are presented. Two case studies for a private organization tendering process are used to illustrate the proposed subcontractor selection decision support system.
Construction projects., Construction industry., Multivariate analysis., Decision making.
http://etd.lib.metu.edu.tr/upload/12620343/index.pdf
https://hdl.handle.net/11511/25909
Graduate School of Natural and Applied Sciences, Thesis

Suggestions

A Multi agent risk analysis and sharing platform for international construction projects
Dağkıran, Gülşah; Dikmen Toker, İrem; Tanyer, Ali Murat; Department of Civil Engineering (2015)
The risks and complexities that are naturally inherent with construction projects and the diverging interests of the parties involved, cause deviations from the project objectives and make claims an unavoidable consequence in construction projects. Risk management is accepted as one of the critical success factors to handle the claim management process effectively. In construction management literature, while there are several studies to develop a mechanism for risk management, decision making and dispute r...
A Mixed integer programming method for integrated discrete time-cost trade-off and manpower resource leveling problem
Tatar, Ali Can; Sönmez, Rifat; Atan, S. Tankut; Department of Civil Engineering (2016)
Construction projects have to meet all of the objectives of scope, quality, schedule, budget simultaneously. These objectives, however, cannot be considered as independent of each other. For example, an increase in direct resources will usually lead to shorter activity durations. A shorter project duration results in lower indirect costs, whereas the additional resources cause an increase the project’s direct costs, in general. This phenomenon is defined as time-cost trade-off problem (TCTP). Nevertheless, ...
A Hybrid genetic algorithm for multi mode resource constrained scheduling problem for large size projects
Gürel, Mustafa; Sönmez, Rifat; Department of Civil Engineering (2015)
Just like in all industries, some of the available resources, in order to finish a project on time, are constrained in construction industry. To be able to finish the project on time has high importance both for the contractor and for the owner. Project scheduling in which resources are limited for a particular time are called as resource constrained project scheduling problems (RCPSP) and occupies a significant place in construction management. Especially for large scale projects, little success has been a...
A Mixed integer programming method for pareto front optimization of discrete time cost trade-off problem
Bilir, Mert; Sönmez, Rifat; Atan, S. Tankut; Department of Civil Engineering (2015)
There is a reverse relationship between the activity durations and costs in construction projects. In scheduling of construction projects, the project duration can be compressed (crashed) by expediting some of its activities in several ways including; increasing crew size, working overtime, or using alternative construction methods. As a result, when duration of a critical activity is decreased, its cost increases and project duration decreases. In construction projects, resources are usually available in d...
Development of an IT-based tool for portfolio assessment and management for construction companies
Bilgin, Gözde; Dikmen Toker, İrem; Özorhon Orakçal, Beliz; Department of Civil Engineering (2019)
Development in the construction industry has leaded most of the construction companies to undertake more complex projects than before, which are generally executed concurrently. Therefore, project management routines of the companies may not support effective management of multi-projects. Project portfolio management approach has been suggested to meet requirements for coordinating multi-projects to meet strategic objectives under limited resources. Since project portfolio management requires a comprehensiv...
Citation Formats
S. Akkerman, “A Multi-criteria decision support system for optimal allocation of subcontractors in construction projects,” M.S. - Master of Science, Middle East Technical University, 2016.
METU IIS - Integrated Information Service open@metu.edu.tr