Effect of visualization on the decision maker when using analytic hierarchy process

Multi Criteria Decision Making is one of the main topics for Industrial Engineering which is especially use for decision making and for selection process. Analytic hierarchy process (AHP) is aheuristic methodology developed for analyze and estimate decisions. This methodology is also compare tangible and intangible digitizing criteria with respect to compare their priorities between each other and also it defines order of criteria importance. In this methodology experience and knowledge of decision maker is essential. In this way, it is easy to make subjective decision which has higher qualification. With this methodology, there will be vehicle selection and application for a University which use these vehicles to carry their students from bus station to university. To be able to solve this selection, budget, importance of system and other criteria will take into consideration.

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Model Pemilihan Pemasok Bahan Baku Kelapa Parut Kering dengan Metode AHP (Studi Kasus PT. Kokonako Indonesia)

Jurnal Optimasi Sistem Industri ◽

10.25077/josi.v12.n2.p352-357.2013 ◽

2016 ◽

Vol 12 (2) ◽

pp. 352

Author(s):

Siti Wardah

Keyword(s):

Analytic Hierarchy Process ◽

Decision Maker ◽

Analytical Hierarchy Process ◽

Raw Materials ◽

Exact Method ◽

Analytic Hierarchy ◽

Second Stage ◽

Hierarchy Process ◽

Selection Of

The selection of suppliers is a strategic activity, especially if the supplier will supply critical items and/ or will be used in the long term. Many factors need to be considered in the selection of suppliers. PT. Kokonako Indonesia is one of the companies of the Group are located in Medan Capella. There are weaknesses in the selection of suppliers conducted by PT. Indonesia Kokonako the decision maker for the purchase of raw materials which are not within specification diameter ≥ 10 cm. Therefore, this study aims to perform the selection of suppliers with the consideration of a more comprehensive and objective as needed. The first stage is carried out in order to represent the actual circumstances is to identify the criteria, sub-criteria, and alternatives that will be used in the selection of suppliers. There are 6 criteria, 13 subcriteria, and 4 alternatives used in the selection of suppliers for raw materials dried grated coconut. The second stage, the stage determines the method for the selection of suppliers. Based on the identification there are no dependencies between sub criteria. Therefore, the exact method used to determine the priority of suppliers to be selected is the method of analytical hierarchy process (AHP). By using the AHP, the priorities selected suppliers for raw materials are dried grated coconut and weighs 0.363 Tempuling District as a top priority. Followed by Sub Tembilahan with weights 0.268, third priority is the District Enoch with weights 0.213, and the last is the Sub Trunk Tuaka and weighs 0,157.Keywords : Selection of suppliers, Analytic Hierarchy Process (AHP)

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A METHOD FOR IMPROVING THE CONSISTENCY OF JUDGEMENTS

International Journal of Uncertainty Fuzziness and Knowledge-Based Systems ◽

10.1142/s0218488502001727 ◽

2002 ◽

Vol 10 (06) ◽

pp. 677-686 ◽

Cited By ~ 22

Author(s):

M. T. LAMATA ◽

J. I. PELAEZ

Keyword(s):

Analytic Hierarchy Process ◽

Decision Maker ◽

Pairwise Comparison ◽

Analytic Hierarchy ◽

Alternative Method ◽

Consistency Problem ◽

The Analytic Hierarchy Process ◽

Hierarchy Process

The Analytic Hierarchy Process provides the decision maker with a method for improving the consistency of pairwise comparison matrices. Although it is one of the most commonly used method it presents some disadvantages related generally with the consistency problem. The purpose of this paper is to provide an alternative method for improving consistency and show how it can be applied to pairwise comparison matrices. The contribution to this method and also its limitations are shown at the end.

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The main cost-related factors in airlines management

Journal of Transport Literature ◽

10.1590/s2238-10312014000100002 ◽

2014 ◽

Vol 8 (1) ◽

pp. 8-23 ◽

Cited By ~ 7

Author(s):

Rogéria de Arantes Gomes Eller ◽

Michelle Moreira

Keyword(s):

Analytic Hierarchy Process ◽

Decision Maker ◽

Airline Industry ◽

Air Transportation ◽

Analytic Hierarchy ◽

Related Factors ◽

Management Quality ◽

Main Factors ◽

Hierarchy Process ◽

Reduction Costs

This paper analyzes the main factors that affect the strategies to reduce airlines costs. These costs factors were presented to experts from the airline industry through two rounds of questionnaires in sense to be weighed. It was applied a method based on the structure of the AHP (Analytic Hierarchy Process) and the results show that the main important factors for a cost-related airlines strategy are, in importance: route structure and mesh; type and characteristics of the aircraft; cost of labor and management quality. This hierarchy can help the decision maker when facing the need of defining priorities in reduction costs. past decades despite the increase in air transportation and significant decrease in average operation costs, it is observed that airlines have low profitability. The liberalization of the markets and increase opportunities for competition diminishes prices, even when airlines face increasing costs. Considering that advantage in costs is an important strategy for carriers to remain in the market, this paper analyzes the main factors that affect the strategies to reduce airlines costs. These costs factors were presented to experts from the airline industry through two rounds of questionnaires in sense to be weighed. It was applied a method based on the structure of the AHP (Analytic Hierarchy Process) and the results show that the main important factors for a cost-related airlines strategy are, in order of importance: route structure and mesh; type and characteristics of the aircraft; cost of labor and management quality. This hierarchy can help the decision maker when facing the need of defining priorities in reduction costs.

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Machining scheme selection based on a new discrete particle swarm optimization and analytic hierarchy process

Artificial intelligence for engineering design analysis and manufacturing ◽

10.1017/s0890060413000504 ◽

2014 ◽

Vol 28 (1) ◽

pp. 71-82 ◽

Cited By ~ 7

Author(s):

Yan-Juan Hu ◽

Yao Wang ◽

Zhan-Li Wang ◽

Yi-Qiang Wang ◽

Bang-Cheng Zhang

Keyword(s):

Particle Swarm Optimization ◽

Multiobjective Optimization ◽

Analytic Hierarchy Process ◽

Decision Maker ◽

Analytic Hierarchy ◽

Swarm Optimization ◽

Scheme Selection ◽

Hierarchy Process ◽

Machining Scheme

AbstractThe goal of machining scheme selection (MSS) is to select the most appropriate machining scheme for a previously designed part, for which the decision maker must take several aspects into consideration. Because many of these aspects may be conflicting, such as time, cost, quality, profit, resource utilization, and so on, the problem is rendered as a multiobjective one. Consequently, we consider a multiobjective optimization problem of MSS in this study, where production profit and machining quality are to be maximized while production cost and production time must be minimized, simultaneously. This paper presents a new discrete method for particle swarm optimization, which can be widely applied in MSS to find out the set of Pareto-optimal solutions for multiobjective optimization. To deal with multiple objectives and enable the decision maker to make decisions according to different demands on each evaluation index, an analytic hierarchy process is implemented to determine the weight value of evaluation indices. Case study is included to demonstrate the feasibility and robustness of the hybrid algorithm. It is shown from the case study that the multiobjective optimization model can simply, effectively, and objectively select the optimal machining scheme according to the different demands on evaluation indices.

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Overall quality assessment of SKOS thesauri: An AHP-based approach

Journal of Information Science ◽

10.1177/0165551516671079 ◽

2016 ◽

Vol 43 (6) ◽

pp. 816-834 ◽

Cited By ~ 5

Author(s):

Alfonso Quarati ◽

Riccardo Albertoni ◽

Monica De Martino

Keyword(s):

Analytic Hierarchy Process ◽

Quality Assessment ◽

Decision Maker ◽

Decision Process ◽

Quality Measure ◽

Decision Makers ◽

Analytic Hierarchy ◽

Subjective Perceptions ◽

Process Methodology ◽

Hierarchy Process

The article proposes a methodology for a thesauri quality assessment that supports decision-makers in selecting thesauri by exploiting an overall quality measure. This measure takes into account the subjective perceptions of the decision-maker according to the reuse of thesauri in a specific application context. The analytic hierarchy process methodology is adopted to capture both subjective and objective facets involved in the thesauri quality assessment, thus providing a ranking of the thesauri assessed. Our methodology is applied to a set of thesauri by using user-driven application contexts. A step-by-step explanation of how the approach supports the decision process in the creation, maintenance and exploitation of a framework of linked thesauri is provided.

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The Analytic Hierarchy Process

Encyclopedia of Decision Making and Decision Support Technologies ◽

10.4018/978-1-59904-843-7.ch003 ◽

2011 ◽

pp. 29-37

Author(s):

John Wang ◽

Chandana Chakraborty ◽

Huanyu Ouyang

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Decision Maker ◽

Decision Makers ◽

Decision Models ◽

Mental Process ◽

Analytic Hierarchy ◽

Advantages And Disadvantages ◽

Hierarchy Process ◽

Made In

The challenges of evaluation and decision making are encountered in every sphere of life and on a regular basis. The nature of the required decisions, however, may vary between themselves. While some decisions may reflect individual solutions on simple problems, others may indicate collaborative solutions on complex issues. Regardless of their distinctive nature, all decisions are outcomes of a mental process. The process involves careful evaluation of merits of all the available options leading ultimately to the choice of a single solution. Numerous efforts have been made in the literature to develop decision models ideal for choosing the best solution for a given problem. The dilemma in using these decision models, however, can hardly be avoided. With differences in underlying methodology, each model serves a specific decision-making need of the decision maker. In the absence of a universal framework suitable for handling a variety of problems, decision makers are often required to identify the model best suited for their particular need. Furthermore, they need to take account of the advantages and disadvantages associated with the chosen model.

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