The Decision-Making Model of Customers’ Choosing Hot Spring Resorts

2011 ◽  
Vol 204-210 ◽  
pp. 1856-1861
Author(s):  
Jiung Bin Chin
Keyword(s):  
Decision Making ◽  
Hot Spring ◽  
Economic Downturn ◽  
Analytic Hierarchy ◽  
Valuation Model ◽  
Expert Interview ◽  
The Rich ◽  
Decision Making Model ◽  
Hierarchy Process ◽  
Major Domain

This paper aimed at the rich hot spring resources and relevant industries were regarded as one major domain worth further developing in Taiwan. But under the current situation adversely affected by economic downturn and diverse customers’ need, how to survival in a market with extremely intense competition, while maintaining high profits, high lodging rate and high visiting rate, are the most essential challenge facing numerous hot spring hotels operators and other relevant trades. Apart from collecting related literature of hot spring hotel and conducting in-depth analyses and induction, this study employs Delphi Method for expert interview. The decision-making model of customers’ choosing hot spring hotel is established, the 6 major criteria are further divided into 19 indicators, for constructing the integral valuation model of this study, followed by issuing questionnaire of expert weigh of Analytic Hierarchy Process (AHP), with the aim to integrate and calculate the important relations between criteria and indicators. The results of this study are expected to be used by relevant trades as reference for future operation.

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.

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.

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.

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.

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.

scholarly journals A Novel Vaccine Selection Decision-Making Model (VSDMM) for COVID-19

Vaccines ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 718
Author(s):  
Sayed F. Abdelwahab ◽  
Usama H. Issa ◽  
Hossam M. Ashour
Keyword(s):  
Decision Making ◽  
Cost Savings ◽  
Analytic Hierarchy ◽  
Related Factors ◽  
Proposed Model ◽  
Criteria Weights ◽  
Selection Decision ◽  
Vaccine Availability ◽  
Decision Making Model ◽  
Hierarchy Process

Selecting a vaccine for fighting a pandemic is one of the serious issues in healthcare. Novel decision models for vaccine selection need to be developed. In this study, a novel vaccine selection decision-making model (VSDMM) was proposed and developed, based on the analytic hierarchy process (AHP) technique, which assesses many alternatives (vaccines) using multi-criteria to support decision making. To feed data to the VSDMM, six coronavirus disease-19 (COVID-19) vaccines were selected in a case study to highlight the applicability of the proposed model. Each vaccine was compared to the others with respect to six criteria and all criteria were compared to calculate the relative weights. The proposed criteria include (1) vaccine availability; (2) vaccine formula; (3) vaccine efficacy; (4) vaccine-related side effects; (5) cost savings, and (6) host-related factors. Using the selected criteria, experts responded to questions and currently available COVID-19 vaccines were ranked according to their weight in the model. A sensitivity analysis was introduced to assess the model robustness and the impacts of changing criteria weights on the results. The VSDMM is flexible in terms of its ability to accept more vaccine alternatives and/or more criteria. It could also be applied to other current or future pandemics/epidemics in the world. In conclusion, this is the first report to propose a VSDMM for selecting the most suitable vaccines in pandemic/epidemic situations or any other situations in which vaccine selection and usage may be deemed necessary.

A Decision-making Model for Supplier Selection in Indian Pharmaceutical Organizations

2019 ◽  
Vol 21 (3) ◽  
pp. 351-371
Author(s):  
Anirban Ganguly ◽  
Chitresh Kumar ◽  
Debdeep Chatterjee
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Selection Process ◽  
Selection Strategy ◽  
Managerial Decision ◽  
Analytic Hierarchy ◽  
Multi Criteria Evaluation ◽  
Tremendous Amount ◽  
Decision Making Model ◽  
Hierarchy Process

Supplier selection is the process by which firms identify, evaluate and contract with suppliers. The supplier selection process deploys a tremendous amount of a firm’s operational and financial resources and is considered as an important determinant of the success of its supply chain. In spite of being strategically important to organizations, the decision for supplier selection is often complex and unstructured. Furthermore, it is inherently a multi-criterion decision-making (MCDM) problem, which pertains to structuring and solving decision problems involving multiple criteria. The paper provides a framework to analyze and evaluate supplier selection in Indian pharmaceutical sector (IPS) using MCDM technique of fuzzy analytic hierarchy process. It intends to improve managerial decision-making in the IPS in developing a supplier selection strategy based on multi-criteria evaluation technique.

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