scholarly journals Analytic Hierarchy Process-Based Airport Ground Handling Equipment Purchase Decision Model

2021 ◽  
Vol 13 (5) ◽  
pp. 2540
Author(s):  
Yu-Jwo Tao ◽  
Hsuan-Shih Lee ◽  
Chang-Shu Tu

The Airport ground handling services (AGHS) equipment supplier provider selection requires a safety guarantee in terms of the daily operations AGHS provider. AGHS providers seek to avoid aircraft damage and airline delays and ensure the provision of reliable and high-quality services. The primary objective of this paper was to develop purchasing decision model of the analytic hierarchy process (AHP), AHP-fuzzy linear programming (FLP), and AHP-Taguchi loss function (TLF) multi-choice goal programming (MCGP) purchase decision models to help the AGHS purchasing managers in selecting the best AGHS equipment supplier provider. The constructed models were assessed, and results obtained for the AHP-FLP and AHP-TLF-MCGP models were compared. We conducted a real-world example of supplier selection by an AGHS company by using the proposed models. The proposed model provides useful information and has practical value for AGHS providers.

Author(s):  
Tao Yu-Jwo ◽  
Lee Hsuan-Shih ◽  
Tu Chang-Shu

The airport ground handling services (AGHS) equipment supplier selection problem involves a safety guarantee on the part of the AGHS company that carries out the daily work. AGHS company can prevent aircraft damage and delays in airlines schedules, and ensure reliable and high-quality ground handling service. In our research, we developed an AGHS equipment supplier selection model based on the analytic hierarchy process and an AHP weighted fuzzy linear programming approach, and we solved the AGHS equipment supplier’s selection problem. The main objective of this article is to create an AHP and AHP-FLP decision model in order to help the AGHS company authorities select the best AGHS equipment supplier. The practical application in AGHS equipment supplier selection decisions can be interpreted as demonstrating that the proposed model provides knowledge and practical value for the AGHS industry.


2013 ◽  
Vol 423-426 ◽  
pp. 2973-2976 ◽  
Author(s):  
Cheng Wang

Housing is the basic livelihood of the residents, and the residents need to consider many factors include the price, the quality, and the surrounding environment in the house-purchase decision. Aiming at the actual problem of family house-purchase decision, this paper established a family house-purchase decision model based on Analytic Hierarchy Process (AHP). Concretely, a hierarchical chart of family house-purchase is constructed based on four factors, i.e., housing price, housing quality, supporting facilities and traffic convenience degree, and then the decision method based on AHP is given to rank the order for the alternative commercial housings. It will provide the decision reference for feasible and effective decision-making of family house-purchase.


2020 ◽  
Vol 11 (4) ◽  
pp. 39-51
Author(s):  
Pi-Fang Hsu ◽  
Hua-Lin Yang

The script of a drama is key to achieving an outstanding performance. This study develops a new model for selecting the scripts of Taiwanese dramas based on the production manager's perceptions. First, the proposed model adopts the modified delphi method to determine suitable evaluative criteria for the scripts of contemporary Taiwanese dramas. Next, the model applies the analytic hierarchy process (AHP) to determine the relative weights of evaluative criteria, thereafter rating the alternatives and selecting the best script. Additionally, a Taiwanese company is used how the scripts of Taiwanese dramas can be selected using this model. The results indicate that important criteria, in order of important, are characteristics of the story, the subject matter of the script, the meaning of the words, and the scriptwriter. The proposed model helps companies to effectively select the scripts of Taiwanese dramas, making it highly applicable for academia and commerce.


Author(s):  
Sotiris A. Papantonopoulos ◽  
Gavriel Salvendy

Cognitive task allocation employs task analysis to identify the performance and operational requirements of task functions; and demand/resource matching to match the identified requirements and the human and computer resources available for implementation. The current methodologies of cognitive task allocation are either too aggregate to provide adequate resolution of performance requirements or domain-specific and thus of limited applicability. The paper introduces a formal, quantitative, and domain-independent model of cognitive task allocation aimed at reducing the limitations inherent in the currently practiced methodologies. Demand/resource matching is modeled as an Analytic Hierarchy Process. The Analytic Hierarchy Process of Demand/Resource Matching is defined as a mapping process along a four-level Analytic Hierarchy. By means of the Analytic Hierarchy Process, a task function (Level 1 of the Analytic Hierarchy) is analyzed into its cognitive processes (Level 2); performance criteria are set for each cognitive process (Level 3) by means of which the capacities of the human, computer, or interactive human/computer controller (Level 4) are evaluated and compared. The Analytic Hierarchy Process then integrates judgements of human and computer abilities and limitations into a weighted average indicating the relative capacity of human and computer to perform this function. This assessment of relative merit of performance can hence be integrated with work design, economic, and other contextual factors towards the final allocation design. The Analytic Hierarchy Process was applied and evaluated in the design of task allocation in production planing and control of a flexible manufacturing system by comparing the allocation designs of two groups of subjects. One group was supported by the decision model, the other received no decision support. The observed differences between the two groups indicated that the decision model can effectively support detailed task analysis and an adequate resolution of performance requirements; the identification of the design, trade-offs between human allocation and automation; and provide the computational resources to reduce decision bias.


2015 ◽  
Vol 14 (06) ◽  
pp. 1263-1284 ◽  
Author(s):  
Jih-Jeng Huang ◽  
Masahiro Inuiguchi

The analytic hierarchy/network process (analytic hierarchy process (AHP)/analytic network process (ANP)) became the most popular tool for weighting criteria in the field of multiple criteria analysis during the 1980s. However, these models often suffer from criticisms because of their theoretical and practical problems. In this paper, the diminishing utility decision model (DUDM) is proposed in order to retain the pros and avoid the cons of the AHP and ANP for weighting criteria. The DUDM integrates the AHP and the concept of diminishing marginal utility in order to model the main and interaction weights of criteria, respectively. From the results of the numerical examples, it can be seen that the proposed method can solve two major limitations of the ANP. First, the proposed method can significantly reduce the number of questions that are asked in the ANP. Second, the proposed method can ensure convergence in many situations and avoid the problem of the ANP with regard to the absorbing state.


Author(s):  
Pi-Fang Hsu ◽  
Chia-Hui Hsu

Celebrity endorsement is a critical and positive commercial promotional tool. With the increasing number of international sports celebrities, many sporting and non-sporting goods companies use such celebrities to promote their products. This study develops a model for selecting sports celebrity endorsers. A Chinese sporting brand company is the target of this study. The proposed model adopts the modified Delphi method to identify suitable criteria and applies the analytic hierarchy process (AHP) to determine the criteria's relative weights. The selected company exemplifies how the model can guide the selection of sports celebrity endorsers. The model ranks the importance to the target company of five criteria: trustworthiness, match-up, attractiveness, risk and expertise. The proposed model allows the company to select sports celebrity endorsers effectively, and contributes to academia and commerce.


2009 ◽  
Vol 5 (2) ◽  
pp. 35-42
Author(s):  
William Townsend

The analytic hierarchy process has been used to evaluate and prioritize decision criteria for over 25 years. This case examines an application of the process to a source selection problem in an environment with several stakeholder organizations with disparate assessments of the relative weighting of various decision criteria. The process served as an effective way to establish consensus and produce a supportable decision model.


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