A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment

Ayağ, Zeki

doi:10.1080/07408170590969852

Cited by 197 publications

(62 citation statements)

References 40 publications

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“…Metode AHP bertujuan meranking alternatif keputusan dan memilih salah satu yang terbaik bagi kasus multi kriteria yang menggabungkan faktor kualitatif dan kuantitatif dalam evaluasi alternatifalternatif yang ada (Ayağ [24]; Saaty [21,22]). TOPSIS menggunakan prinsip bahwa alternatif yang terpilih harus mempunyai jarak terdekat dan solusi ideal positif dan terjauh dari solusi ideal negatif dari sudut pandang geometris dengan menggunakan jarak euclidean untuk menentukan kedekatan relatif dari suatu alternatif (Chen [25]; Hwang dan Yoon, [23]).…”

Section: Pendahuluanunclassified

“…Metode ini banyak digunakan dalam menyelesaikan kasus-kasus pengambilan keputusan praktis (Anisseh et al [26]; Büyüközkan dan Çifçi [17], Chen [25]). Teori himpunan fuzzy yang diperkenalkan oleh Zadeh [27], juga digunakan untuk membantu mengurangi faktor subjektivitas dari pengambil keputusan terhadap penilaian kualitas layanan elektronik (Anisseh et al [26], Ayağ [24]; Büyüközkan dan Çifçi, [17]). Dalam penelitian ini, model integrasi fuzzy AHP-TOPSIS digunakan untuk menentukan bobot tiap kriteria dan untuk menentukan laman rumah sakit mana yang memiliki kinerja E-SQ terbaik.…”

Section: Pendahuluanunclassified

“…Nilai bobot akhir merupakan hasil perkalian dari bobot tiap kriteria dan bobot sub kriteria (Ayağ [24]; Saaty [21] Daftar Pustaka…”

Section: Bobot Kepentingan Tiap Kriteria Dan Sub Kriteriaunclassified

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Integrasi Fuzzy AHP-TOPSIS dalam Evaluasi Kualitas Layanan Elektronik Rumah Sakit

Sukwadi¹,

Yang²,

Benny³

2014

jti

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In today's global era, the electronic service quality (E-SQ) development has swept across almost all service sectors. This development represents not only a new paradigm for providing services, but also a weapon for winning competitions. This research aims to examine and determine the key service attributes of E-SQ which is adopted from service quality (SERVQUAL) methodology as the reference model. The proposed E-SQ framework will be illustrated with a web service performance example of some public and private hospitals in Indonesia by integrating fuzzy analytic hierarchy process (AHP) and technique for order performance by similarity to ideal solution (TOPSIS). Finally, this study shows the implementation of the E-SQ framework in evaluating the complexity of service attributes observed in the hospital healthcare services via websites.

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Section: Pendahuluanunclassified

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Integrasi Fuzzy AHP-TOPSIS dalam Evaluasi Kualitas Layanan Elektronik Rumah Sakit

Sukwadi¹,

Yang²,

Benny³

2014

jti

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“…The methodological framework of Ayag (2005) for fuzzy AHP method is followed by this study. First, performance scores are defined and represented by linguistic terms.…”

Section: Fuzzy Ahpmentioning

confidence: 99%

“…The fuzzy AHP method which is used in this study is based on methodology steps of Ayag (2005). In the first step, the performance scores are compared.…”

Section: Fuzzy Ahpmentioning

confidence: 99%

Evaluation of pull production control strategies under uncertainty: An integrated fuzzy AHP-TOPSIS approach

Torkabadi

Mayorga

2018

JIEM

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Abstract:Purpose: Just-In-Time (JIT) production has continuously been considered by industrial practitioners and researchers as a leading strategy for the yet popular Lean production. Pull Production Control Policies (PPCPs) are the major enablers of JIT that locally control the level of inventory by authorizing the production in each station. Aiming to improve the PPCPs, three authorization mechanisms: Kanban, constant-work-in-process (ConWIP), and a hybrid system, are evaluated by considering uncertainty.Design/methodology/approach: Multi-Criteria Decision Making (MCDM) methods are successful in evaluating alternatives with respect to several objectives. The proposed approach of this study applies the fuzzy set theory together with an integrated Analytical Hierarchy Process (AHP) and a Technique for Order Performance by Similarity to Ideal Solution (TOPSIS) method. Findings:The study finds that hybrid Kanban-ConWIP pull production control policies have a better performance in controlling the studied multi-layer multi-stage manufacturing and assembly system. Practical implications:To examine the approach a real case from automobile electro-mechanical part production industry is studied. The production system consists of multiple levels of manufacturing, feeding a multi-stage assembly line with stochastic processing times to satisfy the changing demand.Originality/value: This study proposes the integrated Kanban-ConWIP hybrid pull control policies and implements several alternatives on a multi-stage and multi-layer manufacturing and assembly production system. An integrated Fuzzy AHP TOPSIS method is developed to evaluate the alternatives with respect to several JIT criteria.

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Attitude-Based Multi-expert Evaluation of Design

Stoklasová

Talášek

Stoklasa

2022

Intelligent Systems and Applications in Business and Finance

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A fuzzy AHP-based simulation approach to concept evaluation in a NPD environment

Cited by 197 publications

References 40 publications

Integrasi Fuzzy AHP-TOPSIS dalam Evaluasi Kualitas Layanan Elektronik Rumah Sakit

Integrasi Fuzzy AHP-TOPSIS dalam Evaluasi Kualitas Layanan Elektronik Rumah Sakit

Evaluation of pull production control strategies under uncertainty: An integrated fuzzy AHP-TOPSIS approach

Attitude-Based Multi-expert Evaluation of Design

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