• Journal of Construction Engineering and Project Management
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• v.6 no.3
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• pp.1-7
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• 2016

The purpose of this paper is to develop a model for selecting the best contractor in the Gaza Strip using the Artificial Neural Network (ANN). The contractor's selection methods and criteria were identified using a field survey. Fifty four engineers were asked to fill a questionnaire that covers factors related to the selection criteria of contractors practiced in Gaza Strip. The results shows that the dominant part of respondents (91%) confirmed that the current awarding method "the lowest bid price" is considered one of the major problems of the construction sector, "award the bid to the highest weight after combination of the technical and financial scores" represented 50% of the respondents. The criteria weights were determined based on Relative Importance Index (RII. Ninety-one tenders(13 projects) were used to train and test the ANN model after re-evaluating the contractors depend on the weights of factors to select the best contractor who achieves the highest score. Neurosolution software was used to train the models. The results of the trained models indicated that neural network reasonably succeeded in selection the best contractor with 95.96% accuracy. The performed sensitivity analysis showed that the profitability and capital of company are the most influential parameters in selection contractors. This model gives chance to the owner to be more accurate in selecting the most appropriate contractor.

• The Research Journal of the Costume Culture
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• v.17 no.5
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• pp.819-833
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• 2009

The current research focused on exploration of a well known Korean fashion and clothing industry cluster, Dongdaemun Fashion Town(DFT). Many clothing and fashion wholesalers in DFT with various business formats are trying to obtain competitive advantages. For the empirical study, a questionnaire was developed. Items measuring descriptive statistics for each business and contractor selection criteria were included in the survey. 161 data from Employees of various wholesalers of DFT were used for statistical analysis. Majority of DFT customers were buyers of Internet shopping malls and street retail shops. 64% of them used domestic contractors for sourcing products. Most of them managed less than three contractors. Contractor selection criteria were factorized as flexibility, production ability, stability, fame and location. Wholesalers were segmented into three groups: product oriented, flexibility oriented and stability oriented groups. Group differences in terms of business practices were assessed and strategic implications were included.

• Journal of Construction Engineering and Project Management
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• v.5 no.2
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• pp.35-43
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• 2015

Project Management Consultant (PMC) plays a vital role in the overall performance of any project. Selecting right PMC for right project is the most crucial challenge for any construction owner. Thus, PMC selection is one of the main decisions made by owners at the early phase of construction project. It is not easy for the project owner to select a competent PMC due to the fuzziness, imprecision, vagueness, incomplete and qualitative criteria of the decision. This paper presents a model for selecting PMC contractor using the Fuzzy Analytical Hierarchy Process (FAHP). And a fuzzy number based framework is proposed to be a viable method for PMC contractor selection. A case study to illustrate the application of the model is also presented in this paper.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.141-142
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• 2012

Using green construction equipment, there are some disadvantages like increasing construction costs and delaying the schedule. Despites of disadvantages, green construction equipment is necessary for decreasing environmental load in construction industry. Therefore, this study proposed checklist for green construction equipment selection. For the checklists, criteria of the checklist were drawn by literature review in the aspects of contractor and a survey was performed in order to measure weights of the criteria. When a contractor choose the green construction equipment, this checklist can support an objective decision-making.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.259-268
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• 2007

In a very competitive construction business environment there is a need to measure and manage business performance across a wider spectrum of business success criteria. The Balanced Scorecard (BSC) and Triple Bottom Line (TBL) reporting concepts are emerging as champions in the race for sustainable business success. The construction business organisations are often judged based on their financial performance as well as wider performance. This paper aims at developing a universally accepted tool for assessing contractors' wider business performance in the construction industry. A prototype of web-based business performance measurement system has been developed to help contractors assess their own performance aimed at uplifting their performance. The consultants/clients can also use the tool to measure contractors' performance in a value-based contractor selection. The system was developed based on the research conducted among 63 senior construction professionals and therefore further research with the participation of a large number of managers across different countries and also an upgrade of the system will be required.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.197-211
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• 2017

In recent years, it is natural that the development and the maintenance of information systems are strongly dependent on outside service providers for economic reasons, especially in public sector. There has been an unexpected growth in the number of selection activities for outsourcing related works. At this time, selection of the contractor generally considers the proposals received based on the RFP(requested for proposal) and determines the ranking by experts committee. However, it is difficult even for expert giving a specific numeric score in weighting criteria or rating alternatives. In this context, an extended fuzzy TOPSIS method is applied for selection problem of IT proposals. A numerical illustration is also provided to demonstrate the applicability of the approach. This approach is very practical to help decision makers in assessing proposals during the selection phase under uncertainties.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.830-836
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• 2007

This paper is concerned with identifying the importance of the pre-qualification factors used in selecting contractors and also in determining the importance of various criteria used for the award of contract. The study was carried out through questionnaire survey administered to a population of 60 respondents in consultancy and client's organisation. The data analysis included a statistical comparison of means and interpretation. The result of this study showed that experience of the contractor is the most important prequalification factor while technical expertise is the most important criteria in the award of contract. The result of this study will enable clients, consultants and contractors to lay emphasis on the influencing factors in terms of pre-qualification and award of contract.

• Korean Journal of Construction Engineering and Management
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• v.2 no.2 s.6
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• pp.68-80
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• 2001

While opportunities for international construction firms have been growing with globalization, the risk of international construction projects is significantly increasing in severity and complexity. However, the traditional risk management approach in the construction industry has maintained a profit focus. In addition, this approach has not considered the overall risk at the corporate level, but rather has focused only on the risk of individuals at the project level. Corporate risk management should be implemented from the initial stages of new project selection. This paper suggests the Multi-criteria Integrated Systematic Analysis as a strategic decision-making tool for international construction contractors. The model integrates the multi-criteria of risk, return, and efficiency to choose the optimal set of new portfolios at the corporate level. This model also introduces the Value at Risk (VaR) concept to the international construction industry to present the total risk at the corporate level. To validate this model, this paper tested an experimental case study using the historical data of a global general contractor.