scholarly journals IDENTIFYING AND PRIORITIZING THE SELECTION CRITERIA OF APPROPRIATE REPAIR AND MAINTENANCE METHODS FOR COMMERCIAL BUILDINGS

2021 ◽  
Vol 25 (5) ◽  
pp. 413-431
Author(s):  
Jolanta Tamošaitienė ◽  
Hadi Sarvari ◽  
Matteo Cristofaro ◽  
Daniel W. M. Chan
Keyword(s):  
Human Resources ◽  
Selection Criteria ◽  
Facility Management ◽  
Commercial Buildings ◽  
Cycle Period ◽  
Important Criterion ◽  
Analytic Hierarchy ◽  
Technical Capability ◽  
The Cost ◽  
Hierarchy Process

All buildings require Repair and Maintenance (R&M) in their life cycle period. However, if R&M activities are not carried out properly, deterioration will occur, service life of buildings will be reduced, and maintenance costs will increase. Hence, selecting the appropriate R&M methods is pivotal, especially for developing countries, such as Iran, which are featured by highly constrained resources. The present study aims to identify and prioritize the main criteria for selecting the suitable R&M methods for Commercial Buildings (CBs), which is considered as a profound challenge for the Architecture, Engineering and Construction/Facility Management (AEC/FM) industry. A total of 20 senior experts in the AEC/FM industry and CBs in Iran were invited to participate in a Delphi survey to solicit their perceptions and opinions on the selection criteria. The total number of individual criteria identified is 16, which are further divided into five categories: human resources, flexibility and technical capability, risks, cost of maintenance, together with facilities and technology. Then, the Fuzzy Analytic Hierarchy Process (FAHP) technique was applied to prioritize the identified criteria. Among the 5 main selection criteria, the cost of maintenance is the most important criterion for selecting appropriate R&M methods for CBs whereas the criterion of human resources (HR) was recognized as the least important.

scholarly journals A Hybrid Multi-Criteria Approach for Evaluation and Selection of Sustainable Suppliers in the Avionics Industry of Pakistan

2020 ◽  
Vol 12 (11) ◽  
pp. 4744 ◽  
Author(s):  
Noor Muhammad ◽  
Zhigeng Fang ◽  
Syed Ahsan Ali Shah ◽  
Muhammad Azeem Akbar ◽  
Ahmed Alsanad ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Analytic Hierarchy Process ◽  
Public Procurement ◽  
Ideal Solution ◽  
Important Criterion ◽  
Analytic Hierarchy ◽  
The Cost ◽  
Hierarchy Process ◽  
Selection Of

Reliability and quality are the two ultimate objectives in the avionics industry. The risk of counterfeit electronics and the unavailability of screening facilities for 100% components are the most concerning areas in the supply chain of the avionics industry. Unlike most public procurement, the cost is not the only significant criterion. Unbiased decision-making criteria to accommodate all the important factors without compromising on quality, reliability, and maintainability are essential for the evaluation and selection of sustainable suppliers. Therefore, this study proposes an unbiased decision methodology based on the fuzzy analytic hierarchy process (FAHP) and the fuzzy technique for order performance by similarity to ideal solution (FTOPSIS). In the first phase, six main and twenty-one sub-criteria are selected from the literature and empirically validated by experts of the avionics industry. FAHP is used to evaluate the weight of the main criteria and sub-criteria. FTOPSIS is used to prioritize eight alternatives (suppliers) concerning their effectiveness and superiority in finding the best alternatives. The results of the FAHP reveal that traceability (T) is the most important criterion, followed by quality (Q), and cost (C), which rank as the second and third most significant criteria. The results of the FTOPSIS rate supplier 8, supplier 2, and supplier 1 as the first, second, and third most effective suppliers, respectively.

Personnel Selection for Promotion using an Integrated Consistent Fuzzy Preference Relations - Fuzzy Analytic Hierarchy Process Methodology: A Real Case Study

2020 ◽  
Vol 3 (1) ◽  
pp. 219-236 ◽  
Author(s):  
Yavuz Ozdemir ◽  
Kemal Gokhan Nalbant
Keyword(s):  
Human Resources ◽  
Analytic Hierarchy Process ◽  
Personnel Selection ◽  
Selection Criteria ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analytic Hierarchy ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Hierarchy Process

Personnel selection is an important business process for companies. Training, experience information and personal characteristics are important qualities for employee to be recruited. The most accurate result of the personnel selection is obtained from the qualified personnel by determining the personnel who is most suitable for the job requirements. The basic idea of personnel selection is to choose the best candidate for a job. Personnel selection is crucial in human resources management. A solution to the Multi Criteria Decision Making (MCDM) problem is Personnel selection. The main goal of this paper is to find the best personnel using the integrated Consistent Fuzzy Preference Relations (CFPR) and Fuzzy Analytic Hierarchy Process (FAHP) methodology. CFPR is used to obtain the importance weight of personnel selection criteria (22 sub-criteria are categorized under 5 main criteria). Then, the importance weights of personnel selection criteria are integrated with a FAHP model to prioritize the personnel alternatives. For a case study in Turkey, the ranking of the alternatives (17) is calculated using the integrated CFPR-FAHP model, and the best personnel is selected for promotion. This methodology makes it easier for managers/human resources department to decide on recruitment and personnel promotion. The proposed methodology provides the consistent results owing to the integrated methods. The main contribution in this study is the reduction of judgments for a preference matrix using the proposed methodology. To the authors’ knowledge, this study will be the first to integrate CFPR and FAHP methods for personnel selection.

scholarly journals Designing a model to determine the preferred Islamic contract for a bank facilities applicant

2018 ◽  
Vol 7 (2.2) ◽  
pp. 21
Author(s):  
Marzieh Jahani ◽  
Parastoo Mohammadi
Keyword(s):  
Evaluation Criteria ◽  
Industrial Sector ◽  
Point Of View ◽  
Second Phase ◽  
Optimization Approach ◽  
Compromise Solution ◽  
Decision Matrix ◽  
Analytic Hierarchy ◽  
The Cost ◽  
Hierarchy Process

This paper aims to present a model to determine the preferred Islamic contract for the bank facilities applicant in the industrial sector. For this purpose we use a consolidated method which includes the compromise solution multi-criteria optimization in the first phase, and the calculation of the cost of financing for the applicant of facilities in the second phase. Afterwards, by using the output of the both-phase, the preferred Islamic contract based on the combinational criterion has been determined for the applicant of the facilities. According to the fact that in the financing of the projects, in addition to the criteria related to the cost of financing, the qualitative criteria are also important, so both the qualitative and quantitative criteria have been considered in this research. In this study, we used four widely applied Islamic contracts (Jo’aalah Instalment sales, Hire purchase, Participation). The assessment criteria of the Islamic contracts have been extracted in the form of a questionnaire based on the previous studies and the expert’s point of view. In the first phase, the Analytic Hierarchy Process (AHP) has been used in order to determine the weights of the evaluation criteria of the Islamic contracts; and, in order to select an appropriate contract for the applicant, the compromise solution multi-criteria optimization approach (VIKOR), which is based on the decision matrix, was used. In the second phase, the cost of financing from the bank was estimated for the applicant of the facilities in the four contracts. Finally, the obtained results of the qualitative questionnaire and the cost of financing from the bank have been combined; thus, the preferred contract for the applicant of facilities has been determined based on a combinational criterion.

scholarly journals FUZZY MULTICRITERIA EVALUATION OF HEALTH RESEARCH INVESTMENTS

2014 ◽  
Vol 20 (2) ◽  
pp. 210-226 ◽  
Author(s):  
Cengiz Kahraman ◽  
Aslı Süder ◽  
İhsan Kaya
Keyword(s):  
Health Research ◽  
Research Area ◽  
Analytic Hierarchy ◽  
Research Investment ◽  
The Cost ◽  
Research Investments ◽  
Returns On Investment ◽  
Hierarchy Process ◽  
Research Impacts ◽  
Specific Health

Health research and investments are expensive, and its explicit social, health and economic impacts are hard to define. There are many challenges and assumptions in defining specific returns on investment in health research. In the literature, there is no common approach to evaluate health research impacts. Single criterion methods are generally used with validated indicators to track overall outcomes or outcomes in a specific health research area. These methods have the ability of considering only one criterion at a time, which is usually the cost of the investment. A multicriteria method is proposed for taking care of many conflicting criteria of health research investments. The difficulty of measuring intangible criteria is captured by the fuzzy set theory. Fuzzy analytic hierarchy process (AHP) is used for the selection among four possible health research investment alternatives. A sensitivity analysis is made for the changes in the values of various parameters.

A multibelief analytic hierarchy process and nonlinear programming approach for diversifying product designs: Smart backpack design as an example

2020 ◽  
Vol 234 (6-7) ◽  
pp. 1044-1056 ◽  
Author(s):  
Yu-Cheng Lin ◽  
Toly Chen
Keyword(s):  
Nonlinear Programming ◽  
Analytic Hierarchy Process ◽  
Programming Model ◽  
Programming Approach ◽  
Analytic Hierarchy ◽  
Nonlinear Programming Model ◽  
Judgment Matrix ◽  
The Cost ◽  
Analytic Hierarchy Process Method ◽  
Hierarchy Process

Owing to the cost constraint, it is difficult to incorporate all critical features into a single product design. To deal with this issue, analytic hierarchy process is a well-known method that compares the relative priorities of critical features. This study aims to illustrate that the judgment of a designer can be used to generate multiple diversified product designs. To this end, this study proposed a multibelief analytic hierarchy process and nonlinear programming approach. In the proposed methodology, a decision maker’s judgment matrix is decomposed into several single-belief judgment matrices that are more consistent than the original judgment matrix and represent diversified points of view regarding the relative priorities of factors. To this end, a nonlinear programming model is established and optimized. The proposed methodology was applied to a smart backpack design problem. It was concluded that a designer’s judgment was often inconsistent, which was ignored in the conventional analytic hierarchy process method but could be employed to diversify product designs.

Benchmarking facility management: applying analytic hierarchy process

Facilities ◽  
2004 ◽  
Vol 22 (1/2) ◽  
pp. 19-25 ◽  
Author(s):  
John D. Gilleard ◽  
Philip Wong Yat‐lung
Keyword(s):  
Analytic Hierarchy Process ◽  
Facility Management ◽  
Analytic Hierarchy ◽  
Hierarchy Process
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