scholarly journals Optimization of Decision-Making in Port Logistics Terminals: Using Analytic Hierarchy Process for the Case of Port of Thessaloniki

2014 ◽  
Vol 15 (4) ◽  
pp. 255-268 ◽  
Author(s):  
Michael Gogas ◽  
Konstantinos Papoutsis ◽  
Eftihia Nathanail
Keyword(s):  
Decision Making ◽  
Decision Models ◽  
Analytic Hierarchy ◽  
Investment Projects ◽  
Complex Process ◽  
Wide Range ◽  
Decision Making Processes ◽  
Private Management ◽  
Decision Making Model ◽  
Hierarchy Process

Abstract The management models pursued in logistics terminals determine their performance to a great extent. Terminals managed by public actors usually incorporate more social criteria into their decision-making processes. In addition, private management focuses on economic viability of the initiative. Decision-making is a complex process regardless the structure of management or the decision models useddue to the fact that a wide range of diverse criteria are embedded into this process. The objective of this paper it to determine a prioritization of a set of alternative options for investment projects which were suggested by port executives taking into account criteria and evaluation that have already validated by them. In order to perform the analysis a multi-criteria decision-making model was used: the Analytic Hierachy Process. The outcomes support a low-biased and efficient strategic planning through a balanced decision-making framework.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

Decision-Making Model for Convention Site Selection

2012 ◽  
Vol 538-541 ◽  
pp. 895-900 ◽  
Author(s):  
Han Chen Huang
Keyword(s):  
Decision Making ◽  
Site Selection ◽  
Political Conflict ◽  
Decision Makers ◽  
City Image ◽  
Analytic Hierarchy ◽  
Number Of Factors ◽  
Decision Making Model ◽  
Hierarchy Process

A number of factors must be considered when selecting a convention site. Typically, most selections are based on the decision makers’ knowledge and experience, which may lead to biased decisions based on the decision makers’ subjective judgment. This study establishes decision-making evaluation factors and attributes for convention site selection based on a literature review. After surveying experts’ opinions using questionnaires, we employed the fuzzy analytic hierarchy process (FAHP) to analyze the weighting of the factors and attributes. The results show that of the five evaluation factors, site environment is the most important, followed by meeting and accommodation facilities, local support, extraconference opportunities, and costs. Additionally, the five most important attributes among the 20 evaluation attributes are the suitability of convention facilities, suitability and quality of local infrastructure, climate, city image, and political conflict or terrorist threats.

Human Centricity and Perception-Based Perspective and Their Centrality to the Agenda of Granular Computing

2011 ◽  
Vol 5 (4) ◽  
pp. 44-60 ◽  
Author(s):  
Witold Pedrycz
Keyword(s):  
Decision Making ◽  
Intelligent Systems ◽  
Granular Computing ◽  
Optimal Allocation ◽  
Information Granularity ◽  
Analytic Hierarchy ◽  
Information Granules ◽  
Decision Making Processes ◽  
Collaborative Activities ◽  
Hierarchy Process

In spite of their striking diversity, numerous tasks and architectures of intelligent systems such as those permeating multivariable data analysis, decision-making processes along with their underlying models, recommender systems and others exhibit two evident commonalities. They promote (a) human centricity and (b) vigorously engage perceptions (rather than plain numeric entities) in the realization of the systems and their further usage. Information granules play a pivotal role in such settings. Granular Computing delivers a cohesive framework supporting a formation of information granules and facilitating their processing. The author exploits two essential concepts of Granular Computing. The first one deals with the construction of information granules. The second one helps endow constructs of intelligent systems with a much needed conceptual and modeling flexibility. The study elaborates in detail on the three representative studies. In the first study being focused on the Analytic Hierarchy Process (AHP) used in decision-making, the author shows how an optimal allocation of granularity helps improve the quality of the solution and facilitate collaborative activities in models of group decision-making. The second study is concerned with a granular interpretation of temporal data where the role of information granularity is profoundly visible when effectively supporting human centric description of relationships existing in data. The third study concerns a formation of granular logic descriptors on a basis of a family of logic descriptors.

scholarly journals The Model of Support for the Decision-Making Process, While Organizing Dredging Works in the Ports

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2706
Author(s):  
Adam Kaizer ◽  
Tomasz Neumann
Keyword(s):  
Decision Making ◽  
Computer Program ◽  
Priority Queue ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Analytic Hierarchy ◽  
Port Area ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Expert Study

The aim of the research was to create a decision-making model, which would be able to support planning, organizing and conducting the dredging works in the port area. The proposed solution is a multiple element system which enables to verify, in a comprehensive way, the majority of the aspects determining the quality and the time of dredging enterprise realization. The paper presents an original approach to the decision-making process during the organization of dredging works, using the computer program. In order to achieve the main goal of the study, the conditions of dredging works were considered. Furthermore, the factors that have an influence on the schedule of the project were evaluated and algorithms, as well as process organization schemes, were developed. If it is not enough, the decision models corresponding to the discussed issue were analysed and the computer program was created. And last but not the least, the proposed project and equipment were verified using a simulation model. While creating this model, the method of multiple criteria AHP (Analytic Hierarchy Process) decision support was used. Moreover, the mass service model with the priority queue regulations, the expert study, and statistical analysis of the traffic flow, were provided. The model was developed in reliance to multiple criteria studies, based on the opinions of multinational experts. These enabled to adjust each element of the system in accordance with various locations. As a result of the research, the following thesis has been proven, that detailed analysis of the conditions of dredging works and taking into account the received conclusions enables to reduce the costs and shorten the time of dredging projects realizations.

Multi-Criteria Decision-Making and its Analysis for Machining Process of Mine Fans Impellers

2012 ◽  
Vol 522 ◽  
pp. 103-109
Author(s):  
Ai Jun Liu ◽  
De Shun Liu ◽  
Wen Hui Yue
Keyword(s):  
Decision Making ◽  
Green Manufacturing ◽  
Indicator System ◽  
Machining Process ◽  
Analytic Hierarchy ◽  
Process Route ◽  
Aluminum Ingot ◽  
Decision Making Model ◽  
Hierarchy Process

Green manufacturing is a new model to solve current environmental problems in manufacturing, and the process route determination of the product machining process is one of the key problems. According to the existing machining process and equipment of mine fans impellers, analytic hierarchy process (AHP) is used to assist in building the optimized decision-making model and multi-criteria assessment indicator system and help draw decision. It is concluded that processing technology route of using steel plate stamped is better than that of using aluminum ingot cast for mine fan impellers. The decision coincides with fan impellers actual production.

Developing an analytic hierarchy process-based decision model for modular construction in urban areas

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael Sing ◽  
Joseph Chan ◽  
Henry Liu ◽  
Nancy Hei Ngai
Keyword(s):  
Decision Making ◽  
Urban Area ◽  
Urban Areas ◽  
Modular Construction ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Decision Making Factors ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Decision Making Tool

Purpose Modular construction is considered a well-established construction method for improving the efficiency of the construction industry worldwide. However, the industry struggles to achieve higher levels of modularisation in urban areas. Previous studies on decision-making for modularisation have, so far, not focussed much on its application in urban areas. As modular construction could bring lots of advantages such as speed of construction, This study aims to develop a decision-making tool that can assist the project planners in deciding whether the modular construction techniques should be applied in their urban area project. Design/methodology/approach Based on the literature review, a total of 35 decision-making factors of modularisation were identified for this study. The decision-making model is then developed to evaluate the significance of each factor using the analytic hierarchy process (AHP) approach. A total number of 72 valid responses were obtained and analysed. The geometric mean of priorities is adopted to obtain the par-wise comparison between the critical factors in which each factor’s weighting in the decision-making model is calculated. Afterwards, the robustness of the decision-making model is demonstrated by the real-life projects in China, Hong Kong and the UK, respectively. Findings A total of 35 decision-making factors allocated in five criteria for modular construction selection in urban areas were identified. The criteria include site attributes, project characteristics, labour consideration, environmental and organisation and project risk. Their impact was calculated using the AHP to indicate the relative importance with respect to the adoption of modularisation in urban areas. Afterwards, a two-level decision-making model was developed that can be used as a decision-making tool for the adoption of modular construction. Practical implications The outcome of this research will be beneficial to industrial practitioners and academics in understanding the critical attributes that affect the adoption of modular construction in an urban area. It further enables the building professionals to assess the feasibility of using modular construction in their projects, especially at the early stage, so as to facilitate its use. Originality/value There is a number of literature on the decision-making model on the adoption of modular construction. However, previous studies did not provide specific concerns related to urban areas, whereas there is an urgent need to have an updated analysis that can be catered to the modular construction in the urban area. In this research study, the 35 decision-making factors were ranked by the experienced project managers and then a pair-wise comparison was conducted. With this information, the robust decision-making model is formulated to offer a kept promised indicator in adopting modularisation in the urban area.

Evaluation of Water Environmental Quality in Feng Zi Jian Mining Area Based on Analytic Hierarchy Process

2013 ◽  
Vol 864-867 ◽  
pp. 2350-2356 ◽  
Author(s):  
Yan Li ◽  
Xiu Ming Jia ◽  
Peng Fei Xing
Keyword(s):  
Decision Making ◽  
Environmental Quality ◽  
Water Environment ◽  
Practical Method ◽  
Mining Area ◽  
Analytic Hierarchy ◽  
Quality Of Water ◽  
Decision Making Processes ◽  
Hierarchy Process ◽  
Water Environmental Quality

AHP, a simple and practical method for multi-criteria decision-making, is widely used in many decision-making processes of engineering projects. Owing to a large number of coal mining in Feng Zi Jian mining Area in Da Tong, it leads to many water environmental quality problems. According to the principle of AHP, it establishes hierarchical models, creates judgment matrix, counts its weight and maximum eigenvalue from the local to the whole, tests its consistent, analyzes the factors quantitatively which impact Feng Zi Jian mining Area water environmental quality, finally, and makes status evaluation for the quality of water environment of the mine. The results show that, AHP is intuitive, effective and has an objective reality during the process of calculating the weights of each factor. It achieves the results of the evaluation with satisfactory.

scholarly journals A Method for Evaluating and Selecting Suitable Hardware for Deployment of Embedded System on UAVs

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4420
Author(s):  
Nicolas Mandel ◽  
Michael Milford ◽  
Felipe Gonzalez
Keyword(s):  
Remote Sensing ◽  
Decision Making ◽  
Embedded System ◽  
Hardware In The Loop ◽  
Analytic Hierarchy ◽  
Effective Implementation ◽  
Industry Standard ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
And Robotics

The use of UAVs for remote sensing is increasing. In this paper, we demonstrate a method for evaluating and selecting suitable hardware to be used for deployment of algorithms for UAV-based remote sensing under considerations of Size, Weight, Power, and Computational constraints. These constraints hinder the deployment of rapidly evolving computer vision and robotics algorithms on UAVs, because they require intricate knowledge about the system and architecture to allow for effective implementation. We propose integrating computational monitoring techniques—profiling—with an industry standard specifying software quality—ISO 25000—and fusing both in a decision-making model—the analytic hierarchy process—to provide an informed decision basis for deploying embedded systems in the context of UAV-based remote sensing. One software package is combined in three software–hardware alternatives, which are profiled in hardware-in-the-loop simulations. Three objectives are used as inputs for the decision-making process. A Monte Carlo simulation provides insights into which decision-making parameters lead to which preferred alternative. Results indicate that local weights significantly influence the preference of an alternative. The approach enables relating complex parameters, leading to informed decisions about which hardware is deemed suitable for deployment in which case.

An Integrated AFS-Based SWOT Analysis Approach for Evaluation of Strategies Under MCDM Environment

2018 ◽  
Vol 1 (2) ◽  
pp. 129-147 ◽  
Author(s):  
Sunil Pratap Singh ◽  
Preetvanti Singh
Keyword(s):  
Decision Making ◽  
Swot Analysis ◽  
Analytic Hierarchy ◽  
Real World Application ◽  
Normalization Methods ◽  
Human Decision ◽  
Decision Making Processes ◽  
Simple Additive Weighting ◽  
Hierarchy Process ◽  
Afs Theory

This article outlines the development of a hybrid methodology aimed to help the policymakers in strategic planning. The proposed methodology integrates the axiomatic fuzzy set (AFS) theory, analytic hierarchy process (AHP), and the concept of simple additive weighting (SAW) to evaluate the strategies by strengths, weaknesses, opportunities, and threats (SWOT) analysis. The combination of AHP with SWOT yields analytically determined weights of the factors included in SWOT analysis. The SAW technique provides a flexible technique to obtain the final ranking of strategies in multi-criteria decision situations. In SAW, the strategies are described using the AFS-based AHP calculation framework for normalization and consistent ratings over the SWOT factors. The AFS theory is incorporated in the model to overcome the uncertainty and ambiguity in human decision-making processes. The proposed integrated methodology copes with the inconsistency caused by different types of fuzzy numbers and normalization methods required in solving multi-criteria decision-making (MCDM) problems. A real-world application is conducted to illustrate the utilization of the model to evaluate SWOT analysis and strategies for tourism development.

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