scholarly journals Implementation of AHP Methodology for the Evaluation and Selection Process of a Reverse Engineering Scanning System

2021 ◽  
Vol 11 (24) ◽  
pp. 12050
Author(s):  
Juraj Beniak ◽  
Ľubomír Šooš ◽  
Peter Križan ◽  
Miloš Matúš
Keyword(s):  
Reverse Engineering ◽  
Selection Process ◽  
Evaluation Criteria ◽  
Pairwise Comparison ◽  
Scanning System ◽  
Engineering System ◽  
Engineering Systems ◽  
Historical Objects ◽  
The Individual ◽  
Selection Of

Generally speaking, the proper selection of a suitable system for various uses is key to its full use in practice. In all areas, there is a large number of technologies, equipment, and systems to choose from, so it is necessary to determine the individual parameters and their weight, which are important for selection. In the field of reverse engineering, several technological devices are particularly expensive, and the selection of one will influence the long-term functioning of the system. Reverse engineering systems are widely used for the registration and documentation of historical objects in the sense of cultural heritage, and the presented scanning systems are suitable for this purpose. In this case, the selection of a scanning system is discussed. This paper deals with the methodology of selecting the most suitable reverse engineering system by the method of pairwise comparison of expert evaluation criteria (analytical hierarchical process (AHP)). This paper contains a comparison of several systems and the selection of the most suitable solution for the particular company.

scholarly journals Procurement Selection Model: Development of a Conceptual Model Based on Transaction Costs

2014 ◽  
Vol 2 (2) ◽  
pp. 56 ◽  
Author(s):  
Mohammed A Rajeh ◽  
John Tookey ◽  
James Rotimi
Keyword(s):  
Transaction Costs ◽  
Construction Projects ◽  
Negative Impact ◽  
Selection Process ◽  
Model Development ◽  
Evaluation Criteria ◽  
Analytical Form ◽  
Model Based ◽  
Suitable Combination ◽  
Selection Of

Procurement is a major improvement area and a crucial element contributing to project success, and the selection of an optimal procurement system is an important and difficult step in project execution. The criteria for choosing suitable procurement methods are based on client’s objectives and priorities, and influenced by project constraints. The procurement path determination chart has largely dominated research in procurement selection process in construction. Eight factors need to be considered by the client when developing procurement selection criteria. At the procurement strategy the focus should be on factors such as cost, quality, and time, while at the procurement route the consideration should focus on complexity, certainty, risk, responsibility, and degree of control by the client. However, including certain criteria and ignoring the magnitude of transaction costs (TCs) associated with uncertainties in the transaction environment simplifies this process. This study addresses this shortcoming by combining evaluation criteria with TCs incurred because of external and internal environmental uncertainties in a theoretical model on procurement selection. This is achieved by developing a conceptual framework model based on TCs. Uncertainties in the transaction environment have a positive or negative impact on the magnitude of TCs such as information, procurement, administration, and enforcement. The model represents an analytical form of a suitable combination of factors influencing procurement systems, which guide procurement decisions. The model will increase understanding of how efficient procurement selection of construction projects can be achieved through appropriate procurement procedures, which could positively impact project performance.Keywords: Construction, Procurement systems, Transaction costs

scholarly journals Project Managers’ Competences

2018 ◽  
Vol 49 (3) ◽  
pp. 82-97 ◽  
Author(s):  
João Walter Saunders Pacheco do Vale ◽  
Breno Nunes ◽  
Marly Monteiro de Carvalho
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Selection Process ◽  
Methodological Approach ◽  
Project Managers ◽  
Job Descriptions ◽  
Second Stage ◽  
Job Advertisements ◽  
The Individual ◽  
Selection Of

This article investigates the individual competences of project managers through a methodological approach that combines a systematic literature review and an analysis of employment opportunities. A comparative analysis of project manager’s competences from the literature and the job advertisements was done. The systematic literature review was the first stage of the research and consisted of adopting methods of bibliometrics and content analysis. The second stage included an analysis of project managers’ competences in the selection process. Thus, five Brazilian recruitment websites and the selection of employees were investigated. Through literature review, it was possible to classify and code competences in four categories (contextual, managerial, technical, and behavioral). The analysis of job advertisements allowed us to identify core competence requirements in the job descriptions and to develop a project manager profile expected by Brazilian organizations.

scholarly journals Determination of the importance of evaluation criteria during the process of recruitment and selection of personnel based on the application of the SWARA method

Ekonomika ◽  
2021 ◽  
Vol 67 (4) ◽  
pp. 1-9
Author(s):  
Milica Popović ◽  
Gabrijela Popović ◽  
Darjan Karabašević
Keyword(s):  
Personnel Selection ◽  
Selection Process ◽  
Evaluation Criteria ◽  
Domain Experts ◽  
Recruitment And Selection ◽  
Weighting Coefficients ◽  
Final Selection ◽  
Selection Of

Personnel selection for an organization is an extremely important process. Modern organizations strive to improve the process of recruitment and selection of personnel as much as possible, in order to provide the organization with quality personnel and thus long-term competitiveness. In addition, the evaluation criteria on which the recruitment and selection process is based is also important, as it has a large impact on the final selection of candidates. Therefore, the aim of this paper is to propose the application of multi-criteria decision-making methods for the process of determining the weighting coefficients of evaluation criteria. Accordingly, the SWARA (Step-Wise Weight Assessment Ratio Analysis) method for determining weights was applied in the paper. The SWARA method proved to be extremely reliable when it comes to defining the weights of evaluation criteria, primarily due to its simplicity and the fact that respondents and domain experts could easily express their views on the issue.

scholarly journals Selection of Zambia’s optimal copper mining excess profit tax

2020 ◽  
Author(s):  
Webby Banda
Keyword(s):  
Selection Process ◽  
Evaluation Criteria ◽  
Good Combination ◽  
Copper Mining ◽  
Analytic Hierarchy ◽  
Administrative Efficiency ◽  
Fiscal Regime ◽  
Hierarchy Process ◽  
Selection Of ◽  
Excess Profit

Mineral taxation is an important revenue-generating instrument for the Zambian government. A good combination of tax instruments in a fiscal regime will help a mineral resource-rich country to generate revenue needed for economic development. This paper selects Zambia’s optimal copper mining excess profit tax. The choice was made between variable profit tax and windfall tax. This was attained by using the fuzzy analytic hierarchy process (AHP) and fuzzy technique order of preference by similarity to ideal solution (TOPSIS) methods. The selection process was anchored on four evaluation criteria: administrative efficiency, investor risk, government risk, and progressivity. Results show that windfall tax is technically superior to variable profit tax. Therefore, windfall tax was selected as Zambia’s optimal copper mining excess profit tax.

scholarly journals Problems of Creation and Design of Engineering Systems: Mathematics, Technology and Informatics

2020 ◽  
Vol 1 (1) ◽  
Keyword(s):  
Vector Optimization ◽  
Engineering System ◽  
Engineering Systems ◽  
Mathematical Apparatus ◽  
Optimal Parameters ◽  
Technological Systems ◽  
Functional Characteristics ◽  
Mathematical Problems ◽  
Technical Specifications ◽  
Selection Of

In this work, we presented the problems that arise when automating the creation and design of engineering systems. These problems include: first, mathematical problems that are associated with a variety of functional characteristics of engineering systems, secondly, technological issues, which include the development of technical specifications, the construction of a mathematical and numerical model of an engineering system, taking into account the set of functional characteristics and constraints of the system, and, thirdly, information problems associated with solving problems in conditions of uncertainty (regression analysis) , creation of adequate software. To solve the presented problems, we presented a presentation of two works. In the field of mathematics, the monograph “Theory and methods of vector optimization” is presented, which is a development of the work https://rdcu.be/bhZ8i. In the field of technological and information problems, the article “Mathematical apparatus for selection of optimal parameters of Technical, Technological Systems and Materials based on Vector Optimization “.

Novel Multiperspective Hiring Framework for the Selection of Software Programmer Applicants Based on AHP and Group TOPSIS Techniques

2020 ◽  
Vol 19 (03) ◽  
pp. 775-847
Author(s):  
A. A. Zaidan ◽  
B. B. Zaidan ◽  
M. A. Alsalem ◽  
Fayiz Momani ◽  
Omar Zughoul
Keyword(s):  
Software Engineering ◽  
Analytic Hierarchy Process ◽  
Soft Skills ◽  
Selection Process ◽  
Evaluation Criteria ◽  
Object Oriented Programming ◽  
Analytic Hierarchy ◽  
Grade Point ◽  
Hierarchy Process ◽  
Selection Of

The selection of software programmer applicants based on multiperspective evaluation criteria (grade point average (GPA) and soft skills of the applicants) is needed instead of an interview because an interview does not necessarily lead to hiring the best candidate amongst the applicants. The selection of a suitable software programmer is considered a challenging task owing to the following factors: (1) data variation, (2) multiple evaluation criteria and (3) criterion importance. A general framework for the selection of the best software programmer applicants is not available in the existing literature. The present study aims to propose a novel multiperspective hiring framework based on multicriteria analysis to select the best software programmer amongst several applicants. A decision matrix (DM) is constructed for the selection of the best programmer applicants according to multiple criteria, namely, structured programming, object-oriented programming, data structure, database system and courseware engineering. Each criterion includes two parameters, namely, GPA and soft skills, and these criteria cross over with programmer applicants as alternatives. The standard and expert opinion of the Software Engineering Body of Knowledge is used to distribute the criteria in the DM. The two commonly used techniques of multicriteria decision-making are analytic hierarchy process (AHP) for weighing the criteria and technique for order performance by similarity to ideal solution (TOPSIS) for ranking the alternatives (programmer applicants). The data used in this study include 60 software engineering students who graduated in 2016 from Universiti Pendidikan Sultan Idris. Results show that integrating multilayer analytic hierarchy process (MLAHP) and group TOPSIS are effective for solving applicant selection problems. Group TOPSIS uses different contexts — internal and external aggregation — and indicates similar results. Objective validation is used for the ranking of the results, which are equally divided into four parts. Furthermore, the applicants are systematically ranked. This study benefits application software, system software and computer programming tool companies by providing a method that improves software quality whilst reducing time and cost in the selection process.

scholarly journals Evaluation criteria to assess the value of identification sources for horizon scanning

2010 ◽  
Vol 26 (3) ◽  
pp. 348-353 ◽  
Author(s):  
Joanna Smith ◽  
Alison Cook ◽  
Claire Packer
Keyword(s):  
Information Quality ◽  
Selection Process ◽  
Evaluation Criteria ◽  
Relevant Information ◽  
Cutoff Score ◽  
Analytic Hierarchy ◽  
Health Technologies ◽  
Horizon Scanning ◽  
Hierarchy Process ◽  
Selection Of

Objectives: The English National Horizon Scanning Centre routinely scans thirty-five sources to identify new and emerging health technologies. The aim of the study was to develop and apply evaluation criteria and scores to assess the value of sources, and to identify a cutoff score below which sources would be recommended for removal from routine horizon scanning. Criteria to evaluate each source scanned could result in a more efficient approach in the selection process.Methods: Evaluation criteria were developed following a review of the literature and discussions with horizon analysts. Proposed criteria were piloted on a random selection of six sources, and then applied to all thirty-five sources. The criteria were assessed using the Analytic Hierarchy Process.Results: Eight criteria were identified as being most relevant for assessing the value of scanning sources. The three most important (primary) criteria were coverage (approximate percentage of relevant information), quality (reliable, accurate, objective), and efficiency (estimated time to identify one potentially significant health technology or other relevant information). Seven sources fell beneath the cutoff score and were recommended for removal from routine scanning.Conclusions: The criteria were considered useful in the assessment of current sources, and have the potential to be used to assess new ones. These criteria may be useful for other horizon scanning centers to pilot and validate.

scholarly journals Supplier Selection by Coupling-Attribute Combinatorial Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-9
Author(s):  
Xinyu Sun
Keyword(s):  
Lead Time ◽  
Supplier Selection ◽  
Selection Process ◽  
Success Factor ◽  
Critical Success Factor ◽  
Critical Success ◽  
Attribute Analysis ◽  
Delivery Reliability ◽  
The Individual ◽  
Selection Of

Increasing reliance on outsourcing has made supplier selection a critical success factor for a supply chain/network. In addition to cost, the synergy among product components and supplier selection criteria should be considered holistically during the supplier selection process. This paper shows this synergy using coupled-attribute analysis. The key coupling attributes, including total cost, quality, delivery reliability, and delivery lead time of the final product, are identified and formulated. A max-max model is designed to assist the selection of the optional combination of suppliers. The results are compared with the individual supplier selection. Management insights are also discussed.

scholarly journals Selection of Optimal Thermochemical Treatment of Steel Guides of Yarn

2019 ◽  
Vol 27 (6(138)) ◽  
pp. 27-33
Author(s):  
Stanisław Płonka ◽  
Robert Drobina ◽  
Dariusz Jędrzejczyk ◽  
Jacek Postrożny
Keyword(s):  
Surface Layer ◽  
Thermochemical Treatment ◽  
Pairwise Comparison ◽  
Case Depth ◽  
Case Hardening ◽  
Ring Spinning ◽  
Individual Decisions ◽  
The Individual ◽  
Optimisation Procedure ◽  
Selection Of

This paper presents a method of selection of an optimal (the best possible) thermochemical treatment of a steel guide of yarn for a ring spinning frame with the use of an optimisation procedure based on assumed criteria, and with consideration of their importance. Yarn guides for a ring spinning frame were manufactured from three brands of steel and were subjected to the following types of thermochemical treatment: 50SiCr4 steel (chrome hardening, diffusion boronising, and titanising); 41CrAlMo7 steel (nitrosulfiding and nitrogen case hardening), and C45 steel (diffusion boronizing). Unit manufacturing costs and six criteria of manufacturing quality: four parameters of surface texture (Rq, Rp, RΔq, rw), maximal hardness of the surface layer (HV0,1), and the case depth of the surface layer (gww), were taken as criteria for assessment. Values of the assessment criteria obtained from calculations and measurements were subjected to normalisation. The knowledge of experts and importance matrix B evaluated with the use of the Saaty method (consisting in pairwise comparison of the successive criteria) were used to determine the importance of the criteria taken for the assessment. Using the Power method, eigenvalues of matrix B were found, as well as corresponding coordinates yt of the eigenvector, which are simultaneously the weights of the corresponding criteria. Normalised decisions were created in the next step by raising each component of the normalised assessments to a power equal to the corresponding weight. In the last step of the procedure, a single optimal lining-up was created comprising the smallest s-th components of the individual decisions d1, d2, …, dm. The best variant of the thermochemical treatment was recognised as corresponding to the largest component of the optimal lining-up, which in our case is the diffusion boronizing.

THEORETICAL PRINCIPLES OF FORECASTING THE COST OF A SOFTWARE PRODUCT

2017 ◽  
Author(s):  
Pavlo Rodionov ◽  
◽  
Anna Ploskonos ◽  
Lesya Gavrutenko ◽  
◽  
...  
Keyword(s):  
Selection Process ◽  
Individual Characteristics ◽  
Successful Implementation ◽  
Software Products ◽  
Software Product ◽  
Continue Research ◽  
Cocomo Model ◽  
Factors Of Influence ◽  
The Individual ◽  
The Cost

The paper analyzes the factors that affect the amount of effort required to create a mobile application and its cost. It is established that the main factors of influence are the design of the application, its functionality, the type of mobile platform, the availability and level of testing and support, as well as the individual characteristics of the developer. Based on the analysis of information sources, the main methods and approaches to forecasting the cost of software products are identified, which include the COCOMO model, Price-to-win method, expert evaluation, algorithmic methods and the method of analogies. It is proposed to consider the method of analogies as a tool that allows you to make predictions about the cost of resources required for the successful implementation of IT projects based on the experience of similar projects. It is proved that the advantages of this method are the simplicity of its implementation and the clarity of the results obtained, which follows from the practical orientation of this tool. Among the limitations of the method of analogy is the mandatory need for reliable data relating to similar projects, as well as the difficulty of taking into account unspecified indicators. Taking into account the mentioned limitations of the method of analogies and on the basis of the analysis of scientific sources the possible directions of its optimization are determined. Thus, among the ways to improve the effectiveness of this method are those aimed at optimizing the project selection process, the data for which are used as a basis for forecasting. Attempts to improve the method of analogies by including parameters that were previously ignored by this technique seem promising. This in turn can lead to an expansion of the scope of the method of analogies and increase the accuracy of forecasts. As prospects for further research, the need to continue research in the field of optimization of the method of analogies with the subsequent practical verification of theoretical positions on the data of real projects.

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