AHP and Intuitionistic Fuzzy TOPSIS Methodology for SCM Selection

Rouyendegh, Babak Daneshvar

doi:10.1007/978-3-319-11415-6_9

Cited by 3 publications

(3 citation statements)

References 59 publications

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“…This research employed exclusively the entropy method to service the weights even though other research has used methods such as the Analytic Hierarchy Process (AHP). However, this research team believes that the AHP method loses its significance when involving multiple subject weight [69,70].…”

Section: Justification Of the Methodsmentioning

confidence: 99%

BIM and Sustainability Education: Incorporating Instructional Needs into Curriculum Planning in CEM Programs Accredited by ACCE

Zhang

Schmidt

2016

Sustainability

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Abstract:Higher education ought to support the identification of training needs for industrial building information modelling (BIM) curriculum development and sustainability education in the fields of civil engineering and management (CEM). This paper proposes a framework based on a four-phase step-by-step quality function deployment (QFD) application for CEM curriculum planning and quality management. The framework attempts to respond to requests collected from 17 professionals and professors in order to integrate BIM into the higher education curriculum in China with a specific focus on construction management programs accredited by the American Council for Construction Education (ACCE). The entropy method and a K1-K6 scale adapted from Bloom's revised cognitive process were employed to evaluate the CEM curriculum in QFD. The proposed framework was successfully applied to CEM curriculum planning, which included two curriculums of the four main knowledge areas provided by the Chinese CEM guidelines: construction cost and flow construction. Two curriculum areas showed that content should focus on knowledge such as (a) Program evaluation and review technique(PERT) planning; (b) construction optimization in flow construction; (c) principles of bill of quantities and (d) construction consumption in construction costs. As for teaching quality management in China, the higher education curriculum should focus on three aspects to promote curriculum integration: (a) pedagogical design; (b) teaching resource and material and (c) curriculum assessment. This research sheds light on the pedagogical shift to a similar context that has established guidelines accredited by the ACCE, with respect to reviewing curriculum planning from a knowledge system perspective in order to meet industrial demands at the operational level.

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Section: Justification Of the Methodsmentioning

confidence: 99%

BIM and Sustainability Education: Incorporating Instructional Needs into Curriculum Planning in CEM Programs Accredited by ACCE

Zhang

Schmidt

2016

Sustainability

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“…An FS is a collection of goods with varying membership degrees. Each object is assigned a membership grade between zero and one via a membership function [20][21][22].…”

Section: Fstmentioning

confidence: 99%

An Integrated Fuzzy MCDM Hybrid Methodology to Analyze Agricultural Production

Rouyendegh

Savalan

2022

Sustainability

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A hybrid model was developed by combining multiple-criteria decision-making (MCDM) with the analytic hierarchy process (AHP) and a fuzzy set to give decision support for choosing sustainable solutions to agricultural problems. Six steps were taken to build the suggested hybrid model: identifying and weighing criteria; normalizing data using fuzzy membership functions; calculating the weighting of the criteria using AHP; and selecting the best alternative for the agricultural problem. The objective of this case study is to demonstrate how agricultural production techniques (APTs) are becoming more complex as agricultural production becomes more complex. Organic agriculture aims to protect both the environment and consumer satisfaction by utilizing organic management practices that do not have the negative effects associated with conventional and genetic engineering production. Meanwhile, products obtained through conventional and genetic engineering techniques are more cost-effective. To present the superiority of the proposed fuzzy MCDM hybrid model, this problem is used as the causative agent’s dataset. Because the challenge involves a large number of competing quantitative and qualitative criteria, the assessment approach should improve the ratio of input data to output data. As a result, agricultural productivity should be controlled holistically. However, because the problem may contain both qualitative and quantitative facts and uncertainties, it is necessary to represent the uncertainty inherent in human thinking. To achieve superior outcomes, fuzzy set theory (FST), which enables the expression of uncertainty in human judgments, can be integrated with). The purpose of this study is to present a novel MCDM approach based on fuzzy numbers for analyzing decision-making scenarios. The proposed methodology, which is based on Buckley’s fuzzy analytic hierarchy process (B-FAHP) and the Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS), uses Buckley’s fuzzy analytic hierarchy process (B-FAHP) and fuzzy TOPSIS to determine weights and rank alternatives, respectively. As a result, we attempted to include both the uncertainty and hesitancy of experts in the decision-making process through the use of fuzzy numbers. We have three main criteria in this study: Satisfaction (C1), Economy (C2), and Environment (C3). An important objective of the current research is to build a complete framework for evaluating and grading the suitability of technologies. A real-world case study is used to demonstrate the suggested paradigm’s validity.

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“…Göstergelerin karar vericiler için eşit öneme sahip olmamaları nedeniyle ağırlıklarının belirlenmesi gerekmektedir. Analitik Hiyerarşi Süreci (AHS), günümüze kadar birçok araştırmada kriter ağırlıklarının belirlenmesinde kullanılmıştır [24,25,26,27]. Bu yöntem, özellikle kriterlere ilişkin ikincil verinin bulunmadığı, verilerin anket yardımıyla bir ölçek üzerinden hesaplandığı durumlarda etkin bir hesaplama aracıdır.…”

Section: B Gösterge Ağirliklarinin Entropy Kullanilarak Beli̇rlenmesi̇unclassified

Assessing Occupational Health and Safety Performances of Companies Using Multi-Criteria Methods

Erol

Rouyendegh

2021

Düzce Üniversitesi Bilim Ve Teknoloji Dergisi

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İş sağlığı ve güvenliği yönetim sistemleri, iş süreçlerinde oluşan kaza ve hastalıkların sayısının azaltılması amacıyla kullanılan temel yaklaşımlardan biridir. Sürekli gelişme bağlamında inşa edilen bu sistemlerin hedeflenen sonuçları doğurması, sistem kapsamında geliştirilen performans ölçüm araçlarının oluşturulması ile mümkündür. Kapsamlı bir performans ölçüm aracı, birden fazla göstergeyi içermeli, sayısal analiz imkanı sunmalı ve karşılaştırma yapabilmeye elverişli olmalıdır. Bu araştırmada, etkin bir iş sağlığı ve güvenliği performans ölçümü aracının geliştirilmesi amacıyla; performans gösterge havuzu oluşturulmuş ve uygun göstergeler taranarak belirlenmiş, Entropy ve TOPSIS tabanlı çok kriterli bir karar verme modeli geliştirilmiş, Türkiye'de demir-çelik sektöründe faaliyet gösteren bir firmadan elde edilen veriler kullanılarak Entropy tabanlı bir gösterge ağırlığı belirleme çalışması yapılmış, firmanın iş sağlığı ve güvenliği performansı, yıllar itibariyle TOPSIS kullanılarak karşılaştırmalı olarak hesaplanmış ve araştırmanın sonuçları, zayıf yanları ve yeni araştırma imkanları tartışılmıştır. Araştırmanın bulgularına göre, "güvenli olmayan faaliyetler nedeniyle meydana gelen kazaların sayısı", 0,2971 ağırlığıyla en önemli göstergedir. Buna ek olarak, TOPSIS tabanlı göreceli yakınlık değerleri, firmanın iş sağlığı ve güvenliği performans sıralamasının 2018, 2017, 2016, 2015 ve 2014 şeklinde gerçekleştiğini ortaya koymaktadır. Bu bulgulara göre, firmanın iş sağlığı ve güvenliği performansında yıllar itibari ile bir gelişme sağlandığı sonucuna ulaşılmıştır. Bu araştırmada geliştirilen çok kriterli karar verme modelinin karar vericilerin karar alma süreçlerine belirtilen katkıları sunabileceği öngörülmektedir: iş sağlığı ve güvenliği performanslarının karşılaştırmalı analizlerinin yapılması, iş sağlığı ve güvenliği alanındaki farklı göstergelerin dikkate alınması, bu analizlerin yıllık raporlarda kullanılmasıyla paydaşların firma hakkında yapacakları yatırım kararlarının sağlıklı bir biçimde alınabilmesi ve sezgilere dönük karar verme sürecinin bilimsel olarak desteklenmesi.

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AHP and Intuitionistic Fuzzy TOPSIS Methodology for SCM Selection

Cited by 3 publications

References 59 publications

BIM and Sustainability Education: Incorporating Instructional Needs into Curriculum Planning in CEM Programs Accredited by ACCE

BIM and Sustainability Education: Incorporating Instructional Needs into Curriculum Planning in CEM Programs Accredited by ACCE

An Integrated Fuzzy MCDM Hybrid Methodology to Analyze Agricultural Production

Assessing Occupational Health and Safety Performances of Companies Using Multi-Criteria Methods

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