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Research on evaluation method of monitoring importance for medium- small span bridge group in regional road network
Published in Airong Chen, Xin Ruan, Dan M. Frangopol, Life-Cycle Civil Engineering: Innovation, Theory and Practice, 2021
The weight of each parameter is determined by using the ranking principle under the single criterion in the analytic hierarchy process. The derived scales obtained by comparing the importance of the parameters in pairs constitute a judgment matrix with positive values and reciprocity, shown in Table 1, which can be determined through expert consultation or empirical methods. The normalized component corresponding to the maximum eigenvalue of the matrix is the weight of each parameter. It is worth noting that the judgment matrix needs to be checked for consistency to avoid excessive errors. The result of the eigenvector after normalization process is as follows: w=[0.417 0.182 0.111 0.036 0.071 0.182]T
Energy Policies and Ethical Notions in Developing Countries
Published in Stephen A. Roosa, International Solutions to Sustainable Energy, Policies and Applications, 2020
Ali Asghar Pourezzat, Ali Asghar Sadabadi, Mohammad Koohi Khor, Narges Salehi Shahrabi, Alireza Aslani, Mohammad Mahdi Zolfagharzadeh
The analytical hierarchy process is a multi-criteria decision-making approach which can be used to solve complex decision problems. This methodology examines complex problems based on their interactions, and converts them to a plain form to be solved. AHP consists of these major steps: Modeling—in this step decision, problem and goal are arranged in a hierarchy of pertinent elements of decision.Preferred judgment—Pairwise comparisons of each option are implemented in terms of each criterion. These comparisons are performed for decision criteria.Calculation of relative weight—the importance and weight of elements of decision are computed relative to each other by means of numerical calculation.Combination of relative weights—this step is performed to rank the options for decision making, so for each option, criteria weight matrix should be multiplied in criteria’s weight vector.The judgment’s compatibility are examined. If the relative compatibility is less than 0.1, it is acceptable [7:165].
Force-System Resultants and Equilibrium
Published in Richard C. Dorf, The Engineering Handbook, 2018
Decision analysis provides a means for systematically dealing with complex problems to arrive at a decision. Information is gathered in a structured manner to provide the best answer to the problem. A decision generally deals with three elements: alternatives, consequences, and preferences. The alternatives are the possible choices for consideration. The consequences are the potential outcomes of a decision. Decision analysis provides methods for quantifying preference tradeoffs for performance along multiple decision attributes while taking into account risk objectives. Decision attributes are the performance scales that measure the degree to which objectives are satisfied. For example, one possible attribute is reducing lives lost for the objective of increasing safety. Additional examples of objectives may include minimize cost, maximize utility, maximize reliability, and maximize profit. The decision outcomes may be affected by uncertainty; however, the goal is to choose the best alternative with the proper consideration of uncertainty. The analytical depth and rigor for decision analysis depend on the desired detail in making the decision. Cost-benefit analysis, decision trees, influence diagrams, and the analytic hierarchy process are some of the tools to assist in decision analysis. Also, decision analysis should consider constraints, such as availability of the system for inspection, availability of inspectors, preferences of certain inspectors, and availability of inspection equipment.
Comparison of different concrete compositions based on sustainability score
Published in International Journal of Sustainable Engineering, 2021
Saurabh Shinkhede, Vasudha Katare, Saurabh Joglekar, Mangesh Madurwar, Sachin Mandavgane
Analytical Hierarchy Process is a systematic method that can solve complex problems of decision-making having a large number of criteria. Mirslaw et al. reported a framework of AHP, which can be used in various new technologies and advancements in construction sector (Skibniewski and Chao 1992). In one of the studies performed by Aminbaksh, AHP was used as a tool for safety risk assessment during the planning and budgeting phase of a construction project (Aminbakhsh, Gunduz, and Sonmez 2013). During a study of building construction projects in Melbourne, AHP was employed in improving the productivity of workers from management perspective. The author divided the productivity based on three broad criteria: 1) Project Planning; 2) Incentives; and 3) Job Satisfaction. Evidences were presented stating the dependence of productivity on criteria other than financial benefits. Thus, AHP proved to be an effective tool to enhance the productivity by providing due importance to the other latent factors also (Aminbakhsh, Gunduz, and Sonmez 2013).
Condition monitoring of marine and offshore machinery using evidential reasoning techniques
Published in Journal of Marine Engineering & Technology, 2021
Maurice Patrick Asuquo, Jin Wang, Geraint Phylip-Jones, Ramin Riahi
Analytic hierarchy process is a structured technique commonly used in analysing complex decisions. It is based on mathematics and psychology and was developed by Thomas L. Saaty in the 1970s. Since then, it has been extensively studied and refined by many researchers. AHP provides a comprehensive and rational framework for structuring a decision problem, for representing and quantifying its elements, for relating those elements to overall goals, and for evaluating alternative solutions. Instead of stipulating a ‘correct’ decision, AHP helps decision-makers find solution that best suits their goal and their understanding of the problem. It is used around the world in a wide variety of decision-making situations (Saaty 1983, 2008).
A Novel Quality Function Deployment Based Integrated Framework for Improving Supply Chain Sustainability
Published in Engineering Management Journal, 2022
Koppiahraj Karuppiah, Bathrinath Sankaranarayanan, Syed Mithun Ali
Analytical hierarchy process, a multi-criteria decision-making method, is used to determine the priority of factors under consideration using pair-wise comparison based on experts judgment (Saaty, 1980). Being effective and convenient to use, AHP method is utilized in several areas. However, AHP method has major concerns like uncertainty and subjectivity. To overcome these concerns, AHP is integrated with fuzzy concepts. FAHP has been utilized in various disciplines, including airport selection (Loh et al., 2020), assessment of water quality model (Singh et al., 2021) and risk assessment in worksite (Koulinas et al., 2019).