scholarly journals Airport Ground Handling Services Equipment Purchase Decision Model with AHP Weighted

2020 ◽  
Author(s):  
Tao Yu-Jwo ◽  
Lee Hsuan-Shih ◽  
Tu Chang-Shu
Keyword(s):  
Supplier Selection ◽  
Decision Model ◽  
Fuzzy Linear Programming ◽  
Selection Problem ◽  
Programming Approach ◽  
Analytic Hierarchy ◽  
Daily Work ◽  
Selection Decisions ◽  
Ground Handling ◽  
Equipment Supplier

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.

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
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Primary Objective ◽  
Fuzzy Linear Programming ◽  
Purchase Decision ◽  
Analytic Hierarchy ◽  
Proposed Model ◽  
Ground Handling ◽  
Equipment Supplier ◽  
Hierarchy Process

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.

scholarly journals Inventory replenishment decision model for the supplier selection problem using metaheuristic algorithms

2020 ◽  
Vol 17 (3) ◽  
pp. 2016-2036 ◽  
Author(s):  
Avelina Alejo-Reyes ◽  
◽  
Elias Olivares-Benitez ◽  
Abraham Mendoza ◽  
Alma Rodriguez ◽  
...  
Keyword(s):  
Supplier Selection ◽  
Decision Model ◽  
Metaheuristic Algorithms ◽  
Selection Problem ◽  
Inventory Replenishment ◽  
Supplier Selection Problem

scholarly journals Analytic Hierarchy Process Case Study Solution Source Selection

2009 ◽  
Vol 5 (2) ◽  
pp. 35-42
Author(s):  
William Townsend
Keyword(s):  
Analytic Hierarchy Process ◽  
Decision Model ◽  
Selection Problem ◽  
Decision Criteria ◽  
Analytic Hierarchy ◽  
Source Selection ◽  
Hierarchy Process ◽  
Solution Source ◽  
Relative Weighting

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.

scholarly journals A Partial-Consensus Posterior-Aggregation FAHP Method—Supplier Selection Problem as an Example

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 179 ◽  
Author(s):  
Yu-Cheng Wang ◽  
Tin-Chih Chen
Keyword(s):  
Supplier Selection ◽  
Pairwise Comparison ◽  
Selection Problem ◽  
Analytic Hierarchy ◽  
Comparison Results ◽  
Fuzzy Weights ◽  
Partial Consensus ◽  
Hierarchy Process ◽  
Supplier Selection Problem ◽  
Fuzzy Pairwise Comparison

Existing fuzzy analytic hierarchy process (FAHP) methods usually aggregate the fuzzy pairwise comparison results produced by multiple decision-makers (DMs) rather than the fuzzy weights estimations. This is problematic because fuzzy pairwise comparison results are subject to uncertainty and lack consensus. To address this problem, a partial-consensus posterior-aggregation FAHP (PCPA-FAHP) approach is proposed in this study. The PCPA-FAHP approach seeks a partial consensus among most DMs instead of an overall consensus among all DMs, thereby increasing the possibility of reaching a consensus. Subsequently, the aggregation result is defuzzified using the prevalent center-of-gravity method. The PCPA-FAHP approach was applied to a supplier selection problem to validate its effectiveness. According to the experimental results, the PCPA-FAHP approach not only successfully found out the partial consensus among the DMs, but also shrunk the widths of the estimated fuzzy weights to enhance the precision of the FAHP analysis.

scholarly journals AN INTEGRATED FUZZY MCGDM APPROACH FOR SUPPLIER SELECTION PROBLEM

2017 ◽  
Vol 23 (7) ◽  
pp. 926-942 ◽  
Author(s):  
Gul POLAT ◽  
Ekin ERAY ◽  
Befrin Neval BINGOL
Keyword(s):  
Supplier Selection ◽  
Construction Projects ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Selection Problem ◽  
Analytic Hierarchy ◽  
Order Preference ◽  
Strategic Issue ◽  
The Right ◽  
Supplier Selection Problem

Materials constitute a large proportion of the total project cost and the absence of right materials in the right quantities and quality on site when needed is one of the most commonly experienced causes of delays in construction projects. Although supplier selection is a strategic issue, contractors generally select suppliers based on their past experi­ences, which may result in selecting wrong suppliers. Supplier selection decision is generally made by multiple decision makers and is affected by several criteria. Therefore, selecting the right supplier among many alternatives considering several compromising and conflicting criteria is a multi-criteria group decision-making (MCGDM) problem. This paper proposes an integrated fuzzy MCGDM approach, which employs fuzzy analytic hierarchy process (AHP) and fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) together, for the supplier selection problem. In the proposed approach, fuzzy AHP is used to analyse the structure of the supplier selection problem and to determine the weights of the criteria, and the fuzzy TOPSIS method is employed to rank the alternative suppliers. The proposed approach is applied to a problem of selecting the most appropriate rail supplier and company management found the proposed decision approach satisfactory and implementable in future supplier selection problems.

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