Using Analytic Hierarchy Process to Optimize PESTEL Scenario Analysis Tool in Huge Construction Projects

2017 ◽  
Vol 865 ◽  
pp. 707-712 ◽  
Author(s):  
José Geraldo Lamas Leite ◽  
Luiz Carlos Brasil de Brito Mello ◽  
Orlando Celso Longo ◽  
Eduardo Picanço Cruz

This paper uses the Analytic Hierarchy Process to optimize the PESTEL analysis. The scenario: pre-construction and assembly factors of huge civil engineering construction projects. Several managers use too many criteria to evaluate large projects. It suggests that there may be few important criteria that summarize the manager's preference. To demonstrate the feasibility of the proposed hypothesis, the authors prepared a qualitative and exploratory study. Conclusions are based on the judgment of an expert interviewed. As expected, the hypothesis was considered plausible. Two main criteria corresponded to 71% of the expert's preference. The result resembles a Pareto distribution.

Author(s):  
Bivash Mallick ◽  
Bijan Sarkar ◽  
Santanu Das

Conventionally, a traditional ABC analysis based on a single criterion of annual consumption cost is employed in industry to facilitate classification of inventory items. However, other criteria may be important in inventory classification such as lead time, item criticality, storage cost, etc. Hence, for situations like this many multiple criteria decision-making methods are available and the Analytic Hierarchy Process (AHP) is a popular one. The present article demonstrates a new approach by integrating Graph Theory (GT) and the Analytic Hierarchy Process (AHP) as a decision analysis tool for multi-criteria inventory classification. In this paper, 47 disposable items used in a respiratory therapy unit of a hospital were considered for a case study. Output of this hybrid method shows more precise results than that of either traditional ABC or the AHP classification methods. As the proposed decision analysis tool is a simple, logical, systematic and consistent method, it may be recommended for application in diverse industries handling multi-criteria inventory classification systems.https://doi.org/10.13033/ijahp.v9.i2.482


2006 ◽  
Vol 33 (1) ◽  
pp. 58-68 ◽  
Author(s):  
Irem Dikmen ◽  
M Talat Birgonul

Risk assessment of international projects is a complicated task because of the sensitivity of project success related to country specific risks as well as project risks. Decision makers face the difficulty of weighing project opportunities against risks and determining attractiveness of projects while giving bidding decisions. The aim of this paper is to propose a methodology for risk and opportunity assessment of international projects. The proposed model uses an analytic hierarchy process for calculation of risk and opportunity ratings. A risk breakdown structure, specific to international construction projects, is proposed as well as a list of factors that affect the ability of construction companies to manage risk. An application of the proposed methodology is demonstrated by using real data supplied by a construction company that is experienced in international markets. Ranking of project options is made according to the opportunity and risk ratings that are calculated by using the proposed methodology based on the judgments of company professionals.Key words: international construction, risk assessment, analytic hierarchy process.


2019 ◽  
Vol 26 (1) ◽  
pp. 71-85
Author(s):  
Murat Gunduz ◽  
Khaled Omar Mohammad

Complexity is very high in construction project and constrained by money and time. Change orders are commonly required during the execution of construction projects. They may increase, omit or adjust tasks in the project. Change orders affect the performance of construction job because they disturb current jobs and affect their schedule. The motive behind this study is to outline a complete assessment on change orders impacts. A review on past studies was performed to capture change order factors that affect project performance. Literature review and interviews with the industry professionals were used to finalize the factors into 16 critical factors. A questionnaire was distributed to industry specialists to capture the effect of these 16 factors on project performance. Complete answers of 102 surveys were received. Analytic Hierarchy Process (AHP) and Relative Important Index (RII) were utilized to analyze the responses. This study differs from other past studies by studying change order impact factors on three different change order types namely additional, omission and substitutional works. The most important change orders impacts factors as per the analysis outcomes are increased project management efforts, increased project re-planning, loss of efficiency due to work interruption, increased reworks/demolition works and delay of payments. This paper would help construction professionals to recognize change order impacts and would assist them in taking proactive actions to limit these impacts.


2012 ◽  
Vol 518-523 ◽  
pp. 2792-2796
Author(s):  
Xun Feng Xia ◽  
Bei Dou Xi ◽  
Ming Xin Wang

In demonstration and promotion of treatment works for rural domestic sewage, the technical solutions should consider not only the treatment technology’s effectiveness, but also its economy and suitability for specific rural areas, that is, the advanced and applicable technology should be selected. In this paper, a rural domestic sewage technology evaluation system was established with the analytic hierarchy process as the assessment method to evaluate the alternative technology options and made decision. The indicators quantification and standardization and the weight determination were also promoted. Finally, a case study was conducted. The method can be used as decision support analysis tool in demonstration and promotion of treatment works for rural domestic sewage.


Author(s):  
John Wang ◽  
Xiaohua Hu ◽  
Kimberly Hollister ◽  
Dan Zhu

Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice to determine which data mining package was best suitable for us. Deliberating a dozen alternatives and objectives led us to a series of pair-wise comparisons. When further synthesizing the results, Expert Choice helped us provide a clear rationale for the decision. The issue is that data mining technology is changing very rapidly. Our article focused only on the major suppliers typically available in the market place. The method and the process that we have used can be easily applied to analyze and compare other data mining software or knowledge management initiatives.


2009 ◽  
pp. 467-485
Author(s):  
John Wang ◽  
Xiaohua Hu ◽  
Kimberly Hollister ◽  
Dan Zhu

Finding the right software is often hindered by different criteria as well as by technology changes. We performed an analytic hierarchy process (AHP) analysis using Expert Choice to determine which data mining package was best suitable for us. Deliberating a dozen alternatives and objectives led us to a series of pair-wise comparisons. When further synthesizing the results, Expert Choice helped us provide a clear rationale for the decision. The issue is that data mining technology is changing very rapidly. Our article focused only on the major suppliers typically available in the market place. The method and the process that we have used can be easily applied to analyze and compare other data mining software or knowledge management initiatives.


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