A FUZZY APPROACH TO BUSINESS TRAVEL AIRLINE SELECTION USING AN INTEGRATED AHP-TOPSIS-MSGP METHODOLOGY

2013 ◽  
Vol 12 (01) ◽  
pp. 119-137 ◽  
Author(s):  
CHIN-NUNG LIAO
Keyword(s):  
Analytical Hierarchy Process ◽  
Real Life ◽  
Evaluation Process ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Business Travel ◽  
Or Organization ◽  
Hierarchy Process ◽  
A Company

Airline selection is a multi-criteria decision-making (MCDM) problem faced in business travel. The evaluation process primarily involves the evaluation of several complex factors for selecting an airline that will best meet business travel needs. Previous studies have proposed several different methods that a company or organization can use to evaluate or select an airline. In its proposed approach to solving airline selection, this study integrates the analytical hierarchy process (AHP) with a type of preference ordering involving the determination a solution's similarity to an ideal solution (TOPSIS) and multi-segment goal programming (MSGP). A real-life case study on selecting an airline is also presented.

Aggregating GIS and MCDM to Optimize Wave Energy Converters Location in Tasmania, Australia

2015 ◽  
pp. 141-164
Author(s):  
Phuc Le ◽  
Andrew Fischer ◽  
Irene Penesis ◽  
Rahman Rahimi
Keyword(s):  
Wave Energy ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Wave Energy Converters ◽  
Order Preference ◽  
A Chain ◽  
Hierarchy Process ◽  
Energy Converters

The aim of this chapter is to develop a framework to guide Wave Energy Converters (WECs) sites using the coastal waters of Tasmania as a case study. This chapter proposes a combined two-stage Multi-Criteria Decision Making (MCDM) methodology to determine suitable locations for WECs siting with overlapping and minimal conflicting uses. A methodology combining MCDM and Geographic Information Systems (GIS) was developed combining the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytical Hierarchy Process (AHP). Priority rankings for each of the human uses and ocean features were prioritized using AHP and were then applied to TOPSIS analyses. A chain of optimal locations were determined, stretching from the southwest to southeast coast of Tasmania, where presently low densities of human activities overlap with high wave height. The result shows that suitable areas for harnessing WECs may not always be located in the highest wave energy areas.

Aggregating GIS and MCDM to Optimize Wave Energy Converters Location in Tasmania, Australia

2016 ◽  
pp. 943-966
Author(s):  
Phuc Le ◽  
Andrew Fischer ◽  
Irene Penesis ◽  
Rahman Rahimi
Keyword(s):  
Wave Energy ◽  
Analytical Hierarchy Process ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Wave Energy Converters ◽  
Order Preference ◽  
A Chain ◽  
Hierarchy Process ◽  
Energy Converters

The aim of this chapter is to develop a framework to guide Wave Energy Converters (WECs) sites using the coastal waters of Tasmania as a case study. This chapter proposes a combined two-stage Multi-Criteria Decision Making (MCDM) methodology to determine suitable locations for WECs siting with overlapping and minimal conflicting uses. A methodology combining MCDM and Geographic Information Systems (GIS) was developed combining the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and the Analytical Hierarchy Process (AHP). Priority rankings for each of the human uses and ocean features were prioritized using AHP and were then applied to TOPSIS analyses. A chain of optimal locations were determined, stretching from the southwest to southeast coast of Tasmania, where presently low densities of human activities overlap with high wave height. The result shows that suitable areas for harnessing WECs may not always be located in the highest wave energy areas.

scholarly journals Analisis Hasil Pendukung Keputusan Mendapatkan Rumah Dinas Perusahaan Menggunakan Metode Analytical Hierarchy Process (AHP) dan Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)

2021 ◽  
Vol 5 (2) ◽  
pp. 695
Author(s):  
Andi Zulherry ◽  
T S Gunawan ◽  
Wanayumini Wanayumini
Keyword(s):  
Analytical Hierarchy Process ◽  
Ideal Solution ◽  
Accurate Data ◽  
Topsis Method ◽  
Ahp Method ◽  
Evaluation Result ◽  
Order Preference ◽  
Hierarchy Process ◽  
A Company ◽  
Housing Facility

The Bridgestone company is a company engaged in the plantation sector, currently it has employees of 230 staff/employees, every employee is entitled to an official residence, This requires the company to conduct a decision analysis to determine the official residence for each employee who will apply for the official housing facility. to reduce the level of lack of transparency and accuracy of data that can cause turmoil and gaps for each employee. Then an analysis of the results of decision support for obtaining a company official residence was carried out using the Analytical Hierarchy Process (Ahp) and Technique For Order Preference By Similarity To Ideal Solution (Topsis). The final results of the AHP method trial evaluation result in accurate data where there are 5 employees who are truly in the very feasible category to get an official residence. Whereas in the AHP method there are differences in the results found, where it is found that the number of employees is 1 person who should be in the feasible category but belongs to the very feasible category, so that the number generated from the TOPSIS method is 6 people. With these 2 methods, it can produce an accuracy value of around 60% by entering all the specified criteria.

Customer and Order Prioritization With Multi-Criteria Decision Making

2021 ◽  
pp. 57-75
Author(s):  
Emre Aslan
Keyword(s):  
Analytical Hierarchy Process ◽  
Production Systems ◽  
Customer Relationship ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Make To Order ◽  
Order Preference ◽  
Production Manager ◽  
Metal Processing ◽  
Hierarchy Process

Customer and order prioritization is prioritizing the orders according to features of customers and orders. In make-to-order production systems, especially when demand exceeds the capacity, a need arises for prioritizing the orders. As a customer may have more than one order and as one type of order may belong to different customers, every job order must be prioritized according to both customer and order features. Prioritization values may be used for accepting and scheduling orders or selecting customers as a reflection of supplier selection. In this chapter, the production manager and customer relationship manager of a metal processing firm were interviewed for determining the criteria for prioritizing customers and orders. After determining the criteria, the managers were asked to pairwise compare the criteria for weighting with analytical hierarchy process (AHP). Then by considering scores of customers and orders for each criterion, orders were prioritized with technique for order preference by similarity to ideal solution (TOPSIS).

scholarly journals Evaluating Museum Virtual Tours: The Case Study of Italy

Information ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 351 ◽  
Author(s):  
Katerina Kabassi ◽  
Alessia Amelio ◽  
Vasileios Komianos ◽  
Konstantinos Oikonomou
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Topsis ◽  
Multi Criteria Decision Making ◽  
Ideal Solution ◽  
Analytic Hierarchy ◽  
The Status ◽  
The Analytic Hierarchy Process ◽  
Hierarchy Process

Virtual tours in museums are an ideal solution for those that are not able to visit a museum or those who want to have a small taste of what is presented in the museum before their visit. However, these tours often encounter severe problems while users interact with them. In order to check the status of virtual tours of museums, we present the implementation of an evaluation experiment that uses a combination of two multi-criteria decision making theories, namely the analytic hierarchy process (AHP) and the fuzzy technique for order of preference by similarity to ideal solution (TOPSIS). AHP has been used for the estimation of the weights of the heuristics and fuzzy TOPSIS has been used for the evaluation of virtual tours of museums. This paper presents the exact steps that have to be followed in order to implement such an experiment and run an example experiment for virtual tours of Italian museums.

scholarly journals A Decision-Making Process for Selecting of Lean Tools Implementation Methods by Means of Analytical Hierarchy Process in Health Center

2013 ◽  
Vol 64 (3) ◽  
Author(s):  
Seyed Navid Seyedi ◽  
Saeed Hakimi ◽  
Hadi Badri Ahmadi ◽  
Pouyan Rezvan ◽  
Mozghan Izadifar
Keyword(s):  
Decision Making ◽  
College Student ◽  
Analytical Hierarchy Process ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Study Results ◽  
Management Context ◽  
Lean Tools ◽  
Hierarchy Process

Decision making is contemplated as a serious task in management context and it becomes more challenging when appropriate alternatives should be selected among various options based on some criteria. Analytical Hierarchy Process (AHP) is one of the multi-criteria decision making methods, which is widely used in management science because of its reliable and acceptable performance. In this study, a novel execution of adjusted AHP in decision making was utilized in a case study in Iran in order to find the best method for application of lean concept among alternatives. Previous-mentioned alternatives are consulting, college student, and internal human resource. Case study results demonstrated that using consultants for carrying out lean tools is the best method. The degree of consistency is satisfactory and proved the accuracy and correction of application of AHP in finding the best method for implementation of lean tools.

scholarly journals Evaluasi Supplier Dengan Menggunakan Metode Analytical Hierarchy Process Dan Taguchi Loss Function

2018 ◽  
Vol 19 (2) ◽  
pp. 178
Author(s):  
Muhammad Yanu Asdidi ◽  
Moeso Alpianto ◽  
Ahmad Ainul Yaqin
Keyword(s):  
Loss Function ◽  
Analytical Hierarchy Process ◽  
Raw Materials ◽  
Evaluation Process ◽  
Purchasing Management ◽  
Policy Response ◽  
Supplier Evaluation ◽  
Taguchi Loss Function ◽  
Hierarchy Process ◽  
A Company

Supplier evaluation process is a strategic activity on purchasing management that aims to find out the performance of the supplier. PT. Fronte Classic Indonesia is a company manufacturing car carpet, one of the raw materials needed in producing car carpet that is calcium. The supplier in partnership with the company has performance that is less suitable. The methods used in this research Analytical Hierarchy Process (AHP) and Taguchi Loss Function. AHP is used to determine the weights of the criteria and Taguchi Loss Function is used to calculate the loss function of the respective supplier. Supplier evaluation process carried out to search for suppliers and meet the criteria of the company. The criteria used in the evaluation of suppliers are price, delivery, quality, the accuracy of goods quantity, guarantee policy, response to claims. The results showed that the suppliers who meet the criteria of the company by providing minimum losses as the best supplier.

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