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.

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.

Pipeline Coating Selection Process: A Hybrid Multi-Criteria Based Approach

2014 ◽  
Author(s):  
Sherif Hassanien ◽  
Len Krissa ◽  
Vitaly Vorontsov
Keyword(s):  
Selection Process ◽  
Probabilistic Approach ◽  
Test Methods ◽  
Critical Material ◽  
Analytic Hierarchy ◽  
Systematic Analysis ◽  
Critical Material Attributes ◽  
External Corrosion ◽  
Hierarchy Process ◽  
Selection Of

The most critical component of external corrosion prevention on pipeline is the protective coating system. The coating selection process can be extremely challenging due to the sheer number of manufacturers and products/options that are offered — often with limited performance data available. Relying solely on manufacturer’s recommendations or information can be problematic when the anticipated service environment has not been adequately characterized, application parameters not completely understood, and/or when there is a misunderstanding of the product’s capabilities. Although there are many test methods for evaluation of pipe coatings, there are no commonly accepted test protocols or acceptance criteria for selecting coatings. Moreover, laboratory based testing is often complicated, expensive, and rarely provides an accurate simulation of field conditions. Although in-house subject matter experts (SMEs) and/or independent coating specialists provide some confidence in coating selection, the diversity of background and experience between these experts frequently creates inconsistency in coating evaluations and can produce divergent or conflicting recommendations. In this paper, an innovative approach is proposed to address these coating selection process challenges. The proposed approach incorporates a systematic analysis of critical material attributes within an expert environment, and applies established decision making techniques to the evaluation. Priorities are developed by structuring a hierarchy of criteria and eliciting technical judgment of company’s SMEs, stakeholders, and unbiased industry specialists. The Deterministic Analytic Hierarchy Process (d-AHP) is applied using pairwise comparisons for prioritizing coating products/options and achieving an optimal selection. The experts’ opinions can then be updated by technical lab-based results for a smaller selection of top ranked products. Laboratory tests would be expected to be completed annually based on smart selection of certain products and to ensure year-over-year consistency. This paper also presents a probabilistic approach that improves d-AHP in order to capture uncertainties in experts’ opinions and/or lab results through probabilistic AHP (p-AHP). Although this approach is not widely used within the pipeline industry, there is a potential opportunity to improve conventional approaches for selecting and approving coatings for pipelines based on a systematic/quantitative approach.

scholarly journals THE USE OF THE ANALYTIC HIERARCHY PROCESS FOR ADMISSION TO AN AIR TRAFFIC CONTROL DEPARTMENT

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Mustafa Özdemir ◽  
Müjgan Sağır Özdemir
Keyword(s):  
Analytic Hierarchy Process ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Selection Process ◽  
Air Traffic ◽  
Analytic Hierarchy ◽  
Control Department ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process ◽  
Selection Of

Meeting the need for qualified staff in the field of air traffic control depends primarily on selection of appropriate candidates among many applicants. The selection of competent air traffic controllers, who play a vital role in the air traffic system, is of critical importance and is usually conducted through multi-stage examinations. It is also important to use correct methods in the selection process in order to identify the most suitable candidates. In particular, the application of subjective examinations, such as interviews in a standard way, and determination and standardization of criteria can assist in selecting the right candidates. Within this context, the student selection process in an air traffic control department is investigated, with the aim of supporting the interview examination through the Analytic Hierarchy Process. The criteria weighting is determined by expert opinion. Thirty-nine candidates are ranked according to the AHP, with the current and proposed rankings being compared. As a result, the ranking has changed significantly with the proposed approach.

scholarly journals Decision support system based in AHP method to selection vendors of clinical laboratorys inputs

2019 ◽  
Vol 10 (5) ◽  
pp. 1536
Author(s):  
André Andrade Longaray ◽  
Anderson Picua Gonçalves ◽  
Vilmar Gonçalves Tondolo ◽  
Rosana Tondolo ◽  
Catia Maria dos Santos Machado
Keyword(s):  
Selection Process ◽  
Clinical Analysis ◽  
Correct Selection ◽  
Analytic Hierarchy ◽  
Organizational Goals ◽  
Analysis Laboratory ◽  
Hierarchy Process ◽  
The City ◽  
Selection Of

In a competitive marketing scenario, the purchasing area contributes significantly to the achievement of organizational goals. Its mission is to identify the competitive needs of products and services, becoming responsible for the timely delivery, costs optimization and quality. Within shopping, a correct selection of vendors is important for this to happen. From this perspective, the present study aims to develop a model that assists in the vendors’ selection process. This way, a case study was carried out in a clinical analysis laboratory located in the city of Rio Grande, where the AHP (Analytic Hierarchy Process) was used as an intervention tool. The development process consisted in three stages. The first one aimed at structuring the model, in which the hierarchy of criteria was defined. In the second step, the judgments were carried out and the relative weights for each criterion and subcriterion were calculated. Finally, the third step aimed at applying the model developed in a purchasing process. The model was tested in a selection process that involved the evaluation of three vendors of a laboratorial input, in order to identify which one met the demands of the organization. The result obtained with its use was considered satisfactory, this way, the model was approved by the manager who participated in the structuring process of the AHP hierarchy.

DETERMINING THE DESALINATION UNIT COMPOSITION FOR COSTAL AREAS AND SMALL ISLANDS USE ANALYTIC HIERARCHY PROCESS

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Imam Setiadi ◽  
Dinda Rita K. Hartaja
Keyword(s):  
Analytic Hierarchy Process ◽  
Energy Demand ◽  
Pairwise Comparison ◽  
Small Islands ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Comparison Research ◽  
Hierarchy Process ◽  
Selection Of

Selection of the appropriate composition desalination units can be done with a variety of method approaches, one of the method is the Analytic Hierarchy Process. In determining the desalination unit with AHP method to consider is setting a goal, an alternative criteria and pairwise comparison. Research for the determination of the exact composition of the desalination unit in order to achieve sustainable drinking water suppy in coastal areas and small islands has been conducted. The results of the study are as follows, the energy demand of 50.83%, operator costs of 26.64%, maintenance costs of 14.13% and chemical requirement 8.4%. For an alternative composition desalination unit of RO 10 m3 / day is the best alternative composition with value of 59.61%, the composition of the next alternative is RO 20 m3/ day of 30.40% and the last alternative of the desalination unit composition is RO 120 m3/ day of 09.99%.Key words : Desalination, Mukti Stage Flash Composition, AHP

SELEKSI ASISTEN PELATIH BELA DIRI DENGAN PERBANDINGAN METODE AHP (Analytic Hierarchy Process) DAN METODE SAW (Simple Additive Weighting)

2016 ◽  
Vol 1 (1) ◽  
pp. 088
Author(s):  
Wahyu Joni Kurniawan
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Analytic Hierarchy Process ◽  
Support System ◽  
Analytic Hierarchy ◽  
Assistant Coach ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Selection Of ◽  
Discipline Knowledge

This study was conducted to assist in the selection of martial assistant coach, to determine who is right. Its results will didadaptkan by comparing the two methods in the decision support system, by using the Analytic Hierarchy Process (AHP) and the Simple Additive Weight (SAW) in limiting the problems in producing the desired solution, using multiple criteria (multi-criteria). AHP and SAW has a different way of doing the calculation. This is done to determine which method is looking for help in making decisions. And in this study are the criteria Discipline, Knowledge, Leadership, Attitude, and Level. And there are sub criteria on Level, which Black (AND I) and Red Black II.

A Soft Hierarchical Process Approach for Decision Making in A Supply Chain

2015 ◽  
Vol 4 (1and2) ◽  
Author(s):  
Rajeev Dhingra ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Process Approach ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Conflicting Objectives ◽  
Realistic View ◽  
Hierarchy Process ◽  
Pair Wise Comparison ◽  
Supplier Selection Problem ◽  
Selection Of

Decision problems are usually complex and involve evaluation of several conflicting criteria (parameters). Multi Criteria Decision Making (MCDM) is a promising field that considers the parallel influence of all criteria and aims at helping decision makers in expressing their preferences, over a set of predefined alternatives, on the basis of criteria (parameters) that are contradictory in nature. The Analytic Hierarchy Process (AHP) is a useful and widespread MCDM tool for solving such type of problems, as it allows the incorporation of conflicting objectives and decision makers preferences in the decision making. The AHP utilizes the concept of pair wise comparison to find the order of criteria (parameters) and alternatives. The comparison in a pairwise manner becomes quite tedious and complex for problems having eight alternatives or more, thereby, limiting the application of AHP. This paper presents a soft hierarchical process approach based on soft set decision making which eliminates the least promising candidate alternatives and selects the optimum(potential) ones that results in the significant reduction in the number of pairwise comparisons necessary for the selection of the best alternative using AHP, giving the approach a more realistic view. A supplier selection problem is used to illustrate the proposed approach.

Utilizing analytic hierarchy process for improved decision making within supply chains

2008 ◽  
Vol 27 (1) ◽  
pp. 49-62
Author(s):  
Sameer Kumar ◽  
John Bisson
Keyword(s):  
Analytic Hierarchy Process ◽  
Global Economy ◽  
Supplier Selection ◽  
Selection Process ◽  
Decision Support Tool ◽  
Data Availability ◽  
Analytic Hierarchy ◽  
Support Tool ◽  
Device Manufacturer ◽  
Hierarchy Process

With a growing global economy and competition and increased outsourcing, the supplier selection process has gained more focus and importance within many business enterprises for developing an integrated supply network. Analytic Hierarchy Process (AHP) has been identified as an ideal multi-objective decision support tool to assist firms in completing the supplier selection process as part of strengthening their procurement strategies. This paper involved secondary research methods to gain an understanding of AHP, its various applications, and exploration of how to incorporate non-traditional selection criteria such as environmental criterion into the process. AHP's application for optimal supplier selection to support integrated procurement process is illustrated through an example of a Medical Device Manufacturer (MDM), known for established supplier-customer partnerships and alliances. Major limitation in studying this example included data availability to complete a comprehensive AHP decision management model. However, it was found that AHP is a powerful, structured but flexible method of addressing the multi-criteria supplier selection decision that facilitates building an integrated supply chain.

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