A Multi-Criteria Decision Making Approach for ranking Business Schools

The proliferation of management institutes along with the establishment of new business school (B-School) has caused a dilemma among students while choosing the management institutes because of a plethora of options. To address the issue, this article provides a ranking framework which first identifies the criteria important for students while selecting a business school using NVivo software on the semi-structured survey. Further, the multi-criteria decision making (MCDM) technique ranks the business schools based on the selected criteria using fuzzy analytical hierarchy process (AHP) and evaluation based on distance from average solution (EDAS). The study has found that the ranking obtained is different from the National Institute Ranking Framework (NIRF) and other ranking systems for selecting a business school by students based on student-centered criteria. The rankings of business schools are obtained based on eight criteria: placement, location, infrastructure, industry-institute interaction, NIRF ranking, fee, innovativeness, and student-faculty ratio. The results of the study are validated using comparative analysis with different MCDM methods and sensitivity analysis with respect to change in weights of criteria. The theoretical and practical implications are discussed.

Download Full-text

Multi-criteria Decision Making for Solar Panel Selection Using Fuzzy Analytical Hierarchy Process and Technique for Order Preference by Similarity to ideal Solution (TOPSIS): An Empirical Study

Journal of The Institution of Engineers (India) Series C ◽

10.1007/s40032-019-00520-2 ◽

2019 ◽

Vol 100 (4) ◽

pp. 707-715 ◽

Cited By ~ 1

Author(s):

Gnanasekaran Sasikumar ◽

Sivasangari Ayyappan

Keyword(s):

Decision Making ◽

Empirical Study ◽

Analytical Hierarchy Process ◽

Solar Panel ◽

Multi Criteria Decision Making ◽

Ideal Solution ◽

Fuzzy Analytical Hierarchy Process ◽

Order Preference ◽

Hierarchy Process

Download Full-text

PENGAPLIKASIAN METODE FUZZY ANALYTIC HIERARCHY PROCESS (FAHP) PADA PENENTUAN PIMILIHAN SUPPLIER BENANG (Studi Kasus di CV. Sarung Indah Sejahterah)

JUSTI (Jurnal Sistem dan Teknik Industri) ◽

10.30587/justicb.v1i1.2027 ◽

2020 ◽

Vol 1 (1) ◽

pp. 11

Author(s):

Syamsul Huda ◽

Pregiwati Pusporini ◽

Said Salim Dahda

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Fuzzy Set ◽

Analytical Hierarchy Process ◽

Fuzzy Analytic Hierarchy Process ◽

Multi Criteria Decision Making ◽

Fuzzy Analytical Hierarchy Process ◽

Analytic Hierarchy ◽

Hierarchy Process

Pemilihan supplier merupakan salah satu aktivitas dalam rangkaian pekerjaan CV Sarung Indah Sejahtera. Aktivitas ini dikategorikan dalam aktivitas strategis, karena peran supplier akan turut dalam menentukan keberhasilan perusahaan, apabila barang yang disediakan supplier tidak sesuai dengan kebutuhan perusahaan, maka dapat dipastikan bahwa proses pekerjaan akan terganggu. Berpijak dari latar belakang tersebut maka tujuan dari penelitian ini adalah menentukan supplier yang dapat memberikan perfomansi terbaik, berdasarkan kriteria dan subkriteria yang telah ditentukan perusahaan. CV Sarung Indah Sejahterah adalah sebuah perusahaan yang memproduksi dan menjual sarung tenun tangan tanpa mesin, sehingga kualitas menjadi hal yang sangat penting. Penelitian ini melibatkan lebih dari satu kriteria dalam menentukan supplier, agar dapat membuat keputusan yang tepat maka diperlukan metode Multi Criteria Decision Making (MCDM). Metode yang digunakan disini adalah metode Analytical Hierarchy Process (AHP) dan Fuzzy Set, yang untuk selanjutnya disebut dengan metode Fuzzy Analytical Hierarchy Process (FAHP). Yaitu ketidakmampuan dalam mempertimbangkan ketidakpastian yang muncul akibat subjektivitas manusia. Hasil penenelitian menenjukkan bahwa tedapat 4 kriteria yang harus dipertimbangkan dalam menentukan supplier di CV Sarung Indah Sejahterah. Keempat kriteria tersebut adalah pengiriman, kualitas, pelayanan, harga. Hasil dari tahapan metode Fuzzy Analytical Hierarchy Process (FAHP). Didapatkan urutan sebagai berikut : Supplier 1 BNP 101,813, Supplier 2 BNP 117,29, Supplier 3 BNP 99,59.

Download Full-text

SITE SUITABILITY ANALYSIS FOR INDUSTRIES USING GIS AND MULTI CRITERIA DECISION MAKING

ISPRS Annals of Photogrammetry Remote Sensing and Spatial Information Sciences ◽

10.5194/isprs-annals-iv-5-447-2018 ◽

2018 ◽

Vol IV-5 ◽

pp. 447-454 ◽

Cited By ~ 3

Author(s):

◽

S. Saran ◽

K. V. Ramana

Keyword(s):

Decision Making ◽

Agricultural Land ◽

Land Use Changes ◽

Arable Land ◽

Multi Criteria Decision Making ◽

Suitability Analysis ◽

Policy Makers ◽

The People ◽

Manufacturing Sectors ◽

Hierarchy Process

<p><strong>Abstract.</strong> Developing countries have to be very cautious in utilizing the land as they affect the food security, cause damage to environment and an ecological imbalance might be created in the process of establishing industries to raise the standard of living of the people from poverty. India, as a developing nation with sufficient amount of arable land at present is producing surplus food which is sufficient for all the population, in the recent decades loosing productive agricultural land without proper scientific solution for industries. This is a major concern because it causes not only food scarcity but dependency on the other nations even though we have lot of industries. We need to maintain a balance between Agriculture and manufacturing sectors to have smooth run of the country’s economy. The purpose of the study is to assess the land use changes in the areas for recent years which have potential for industrial establishment through land suitability analysis (LSA) to emphasize both agriculture and industries with sustainable development. Geographic information Systems (GIS) and Multi Criteria Decision Making (MCDM) are combined to distinctly identify the suitable zones for industries. Six criteria in Analytical hierarchy Process (AHP) and nine criteria in Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) are evaluated by spatial analysis using ArcGIS software. Considerable amount of productive agricultural land is diverted to non agricultural purposes during last 12 years i.e., from 2004&ndash;2016, which is at first taken for industrial establishment. Results obtained by the methodology we followed have given considerable accuracy by cross checking the previously established industries with suitability regions. Thus GIS and MCDM can assist the policy makers and planning officials to get a better overview with the resources they possess to carry forward with less damage to environment and agricultural land.</p>

Download Full-text

THE INTEGRATION OF ANALYTICAL HIERARCHY PROCESS AND DATA ENVELOPMENT ANALYSIS IN A MULTI-CRITERIA DECISION-MAKING PROBLEM

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622006001940 ◽

2006 ◽

Vol 05 (02) ◽

pp. 263-276 ◽

Cited By ~ 36

Author(s):

NORITA AHMAD ◽

DANIEL BERG ◽

GENE R. SIMONS

Keyword(s):

Decision Making ◽

Data Envelopment Analysis ◽

Analytical Hierarchy Process ◽

Data Envelopment ◽

Multi Criteria Decision Making ◽

Analysis Model ◽

Decision Tool ◽

Manufacturing Enterprises ◽

Decision Making Problem ◽

Hierarchy Process

This research focuses on developing a model that can be used to assess the performance of Small to Medium-Sized Manufacturing Enterprises (SMEs). The model will result from the integration of a decision tool called the Analytical Hierarchy Process (AHP) and a data analysis model called Data Envelopment Analysis (DEA). This research demonstrates that by eliminating flaws and taking advantage of each methodology's specific characteristics in identifying and solving problems, the new integrated AHP/DEA model appears to be a logical and sensible solution in multi-criteria decision-making problem.

Download Full-text

Some Conflicting Results in the Analytic Hierarchy Process

International Journal of Information Technology & Decision Making ◽

10.1142/s0219622018500517 ◽

2019 ◽

Vol 18 (02) ◽

pp. 465-486 ◽

Cited By ~ 5

Author(s):

Ardalan Bafahm ◽

Minghe Sun

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Decision Makers ◽

Unexpected Result ◽

Multi Criteria Decision Making ◽

Analytic Hierarchy ◽

Preference Relations ◽

The Analytic Hierarchy Process ◽

Hierarchy Process

The analytic hierarchy process (AHP) has been believed to be one of the most pragmatic and widely accepted methods for multi-criteria decision making. However, there have been various criticisms of this method within the last four decades. In this study, the results of AHP contradicting common expectations are examined for both the distributive and ideal modes. Specifically, conflicting priorities, conflicting decisions, and conflicting preference relations are investigated. A decision-making scenario is used throughout the paper and an illustrative example constructed from the decision-making scenario is provided to demonstrate each of the conflicting results recommended by AHP. With a parametric formulation of each unexpected result, the possibility of unexpected results of AHP is generalized irrespective of applying the distributive or ideal mode. The logic and causes of these contradictions are also analyzed. This study shows that AHP is not always reliable, and could lead the decision makers towards incorrect decisions.

Download Full-text

Fuzzy Analytic Hierarchy Process and Its Application to E-Marketplace Selection

Enterprise Business Modeling, Optimization Techniques, and Flexible Information Systems ◽

10.4018/978-1-4666-3946-1.ch003 ◽

2013 ◽

pp. 26-44 ◽

Cited By ~ 2

Author(s):

Beyza Ahlatcioglu Ozkok ◽

Elisa Pappalardo

Keyword(s):

Decision Making ◽

Analytic Hierarchy Process ◽

Fuzzy Ahp ◽

Multi Criteria Decision Making ◽

Linguistic Variables ◽

Analytic Hierarchy ◽

Multi Attribute Decision Making ◽

Electronic Parts ◽

Hierarchy Process

Making decisions is a part of daily life. The nature of decision-making includes multiple and usually conflicting criteria. Multi Criteria Decision-Making (MCDM) problems are handled under two main headings: Multi Attribute Decision Making (MADM) and Multi Objective Decision Making (MODM). Analytic Hierarchy Process (AHP) is a widely used multi-criteria decision making approach and has successfully been applied to many practical problems. Traditional AHP requires exact or crisp judgments (numbers). However, due to the complexity and uncertainty involved in real world decision problems, decision makers might be more reluctant to provide crisp judgments than fuzzy ones. Furthermore, even when people use the same words, individual judgments of events are invariably subjective, and the interpretations that they attach to the same words may differ. This is why fuzzy numbers and fuzzy sets have been introduced to characterize linguistic variables. Here, the authors overview the most known fuzzy AHP approaches and their application, and they present a case study to select an e-marketplace for a firm, which produces and sells electronic parts of computers in Turkey.

Download Full-text

Road Crash Severity Ranking by Applying a Multi-criteria Decision-Making Tool: Analytical Hierarchy Process

Studies in Infrastructure and Control - Intelligent Infrastructure in Transportation and Management ◽

10.1007/978-981-16-6936-1_10 ◽

2021 ◽

pp. 123-129

Author(s):

Priyank Trivedi ◽

Jiten Shah

Keyword(s):

Decision Making ◽

Analytical Hierarchy Process ◽

Crash Severity ◽

Multi Criteria Decision Making ◽

Road Crash ◽

Hierarchy Process ◽

Decision Making Tool

Download Full-text

Lean in higher education

Quality Assurance in Education ◽

10.1108/qae-12-2016-0089 ◽

2019 ◽

Vol 27 (1) ◽

pp. 82-102 ◽

Cited By ~ 2

Author(s):

Yigit Kazancoglu ◽

Yesim Deniz Ozkan-Ozen

Keyword(s):

Higher Education ◽

Decision Making ◽

Business School ◽

Stage Structure ◽

Fuzzy Decision Making ◽

Multi Criteria Decision Making ◽

Stage Model ◽

Content Type ◽

Road Map ◽

Multi Stage

PurposeThis research aims to investigate and define the eight wastes of lean philosophy in higher education institutions (HEIs) by proposing a multi-stage model.Design/methodology/approachThe authors have used a specific multi-criteria decision-making method, fuzzy decision-making trial and evaluation laboratory, to investigate the cause–effect relationships and importance order between criteria for wastes in HEIs. In total, 22 criteria were categorized under eight wastes of lean. The study was implemented in a business school with the participation of faculty members from different departments.FindingsThe results showed that the most important wastes in the business school selected were repeated tasks, unnecessary bureaucracy, errors because of misunderstanding/communication problems, excessive number of academic units and creation of an excessive amount of information. Another important result was that all the sub-wastes of talent were in the causes group, while motion and transportation wastes were in the effect group.Practical implicationsA road map to guide lean transformation for HEIs is proposed with a multi-stage model and potential areas for improvement in HEIs were presented.Originality/valueThis study proposes a multi-stage structure by applying multi-criteria decision-making to HEIs, focussing on wastes from a lean perspective.

Download Full-text

A consumer-based textile quality scoring model using multi-criteria decision making

Journal of Engineered Fibers and Fabrics ◽

10.1177/1558925019854773 ◽

2019 ◽

Vol 14 ◽

pp. 155892501985477

Author(s):

Romain Benkirane ◽

Sébastien Thomassey ◽

Ludovic Koehl ◽

Anne Perwuelz

Keyword(s):

Decision Making ◽

Quality Criteria ◽

Quality Score ◽

Ranking Method ◽

Multi Criteria Decision Making ◽

Analytic Hierarchy ◽

Requirements Specifications ◽

Textile Testing ◽

Fuzzy Techniques ◽

Hierarchy Process

In the clothing industry, the understanding of the quality is a major issue to well meet the customer needs. The dilemma that faces manufacturers is to find the balance between good quality and “overquality,” what the quality criteria are, and how to target requirements specifications. The aim of this study was to propose a multi-attribute ranking method of products. Ranking is based on an overall quality score. The quality score, here called consumer-based quality, is computed via the combination of textile testing and consumer perception to deterioration. Such a perception has been surveyed, and damage that can lead to end of life has been investigated. Collected data have been translated into a consumer sensitivity using multi-criteria decision making and fuzzy techniques. The fuzzy analytic hierarchy process has been used. Five damage categories have been weighted. A selection of appropriate tests according to standards has been completed to test the product resistance to the damage. The tests results have been computed with the consumer sensitivity to obtain the consumer-based quality score. Finally, the ranking method is applied on T-shirts, and a single score ranking is made possible and objectively depict perceived quality.

Download Full-text