Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS

Ayse Nur Karabayir; Ahmet Reha Botsali; Yildiz Kose; Emre Cevikcan

doi:10.1007/978-3-030-23756-1_60

Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS

Ayse Nur Karabayir^*, Ahmet Reha Botsali, Yildiz Kose, Emre Cevikcan

^*Bu çalışma için yazışmadan sorumlu yazar

Endüstri Mühendisliği Bölümü

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

9 Atıf (Scopus)

Özet

Supplier selection is an important process for companies in the construction sector because of long-term projects and high cost. There are several criteria and alternatives to be considered in the construction industry and choosing the best multi-criteria decision‐making approach has become a critical step for selecting suppliers. Therefore, in this study, we analyze the problem of selecting the most convenient supplier for a construction company using two powerful multi-criteria decision‐making methods, Fuzzy AHP and Fuzzy TOPSIS. Due to the uncertainty embedded in problem’s nature and the ambiguity of the experts’ opinion, we prefer fuzzy methods. Various interviews were conducted with the experts at the companies in order to determine the criteria to be used in construction supplier evaluation. As a result of those interviews, 12 criteria that can be used for evaluating the alternative suppliers of the company were determined. This paper is comparing Fuzzy AHP and Fuzzy TOPSIS application results in a construction company in terms of determining the best supplier with respect to selected criteria. The contribution of this study is not only the application of the multi-criteria decision methodologies for supplier selection problem, but also it provides a comparison of two different multi-criteria decision making methods’ result.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference
Editörler	Cengiz Kahraman, Sezi Cevik Onar, Basar Oztaysi, Irem Ucal Sari, Selcuk Cebi, A.Cagri Tolga
Yayınlayan	Springer Verlag
Sayfalar	481-487
Sayfa sayısı	7
ISBN (Basılı)	9783030237554
DOI'lar	https://doi.org/10.1007/978-3-030-23756-1_60
Yayın durumu	Yayınlandı - 2020
Etkinlik	International Conference on Intelligent and Fuzzy Systems, INFUS 2019 - Istanbul, Turkey Süre: 23 Tem 2019 → 25 Tem 2019

Yayın serisi

Adı	Advances in Intelligent Systems and Computing
Hacim	1029
ISSN (Basılı)	2194-5357
ISSN (Elektronik)	2194-5365

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Intelligent and Fuzzy Systems, INFUS 2019
Ülke/Bölge	Turkey
Şehir	Istanbul
Periyot	23/07/19 → 25/07/19

Bibliyografik not

Publisher Copyright:
© 2020, Springer Nature Switzerland AG.

Belgeye Erişim

10.1007/978-3-030-23756-1_60

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Karabayir, A. N., Botsali, A. R., Kose, Y., & Cevikcan, E. (2020). Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS. In C. Kahraman, S. Cevik Onar, B. Oztaysi, I. U. Sari, S. Cebi, & A. C. Tolga (Eds.), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference (pp. 481-487). (Advances in Intelligent Systems and Computing; Hac. 1029). Springer Verlag. https://doi.org/10.1007/978-3-030-23756-1_60

Karabayir, Ayse Nur ; Botsali, Ahmet Reha ; Kose, Yildiz et al. / Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS. Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. editör / Cengiz Kahraman ; Sezi Cevik Onar ; Basar Oztaysi ; Irem Ucal Sari ; Selcuk Cebi ; A.Cagri Tolga. Springer Verlag, 2020. pp. 481-487 (Advances in Intelligent Systems and Computing).

@inproceedings{a5ba25668b2a4f69849e0f648d5ef3ef,

title = "Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS",

abstract = "Supplier selection is an important process for companies in the construction sector because of long-term projects and high cost. There are several criteria and alternatives to be considered in the construction industry and choosing the best multi-criteria decision‐making approach has become a critical step for selecting suppliers. Therefore, in this study, we analyze the problem of selecting the most convenient supplier for a construction company using two powerful multi-criteria decision‐making methods, Fuzzy AHP and Fuzzy TOPSIS. Due to the uncertainty embedded in problem{\textquoteright}s nature and the ambiguity of the experts{\textquoteright} opinion, we prefer fuzzy methods. Various interviews were conducted with the experts at the companies in order to determine the criteria to be used in construction supplier evaluation. As a result of those interviews, 12 criteria that can be used for evaluating the alternative suppliers of the company were determined. This paper is comparing Fuzzy AHP and Fuzzy TOPSIS application results in a construction company in terms of determining the best supplier with respect to selected criteria. The contribution of this study is not only the application of the multi-criteria decision methodologies for supplier selection problem, but also it provides a comparison of two different multi-criteria decision making methods{\textquoteright} result.",

keywords = "Fuzzy AHP, Fuzzy TOPSIS, Supplier selection, Supply chain management",

author = "Karabayir, {Ayse Nur} and Botsali, {Ahmet Reha} and Yildiz Kose and Emre Cevikcan",

note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Intelligent and Fuzzy Systems, INFUS 2019 ; Conference date: 23-07-2019 Through 25-07-2019",

year = "2020",

doi = "10.1007/978-3-030-23756-1_60",

language = "English",

isbn = "9783030237554",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "481--487",

editor = "Cengiz Kahraman and {Cevik Onar}, Sezi and Basar Oztaysi and Sari, {Irem Ucal} and Selcuk Cebi and A.Cagri Tolga",

booktitle = "Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference",

address = "Germany",

}

Karabayir, AN, Botsali, AR, Kose, Y & Cevikcan, E 2020, Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS. in C Kahraman, S Cevik Onar, B Oztaysi, IU Sari, S Cebi & AC Tolga (eds), Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Advances in Intelligent Systems and Computing, hac. 1029, Springer Verlag, pp. 481-487, International Conference on Intelligent and Fuzzy Systems, INFUS 2019, Istanbul, Turkey, 23/07/19. https://doi.org/10.1007/978-3-030-23756-1_60

Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS. / Karabayir, Ayse Nur; Botsali, Ahmet Reha; Kose, Yildiz et al.
Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. ed. / Cengiz Kahraman; Sezi Cevik Onar; Basar Oztaysi; Irem Ucal Sari; Selcuk Cebi; A.Cagri Tolga. Springer Verlag, 2020. p. 481-487 (Advances in Intelligent Systems and Computing; Hac. 1029).

Araştırma sonucu: ???type-name??? › Konferans katkısı › bilirkişi

TY - GEN

T1 - Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS

AU - Karabayir, Ayse Nur

AU - Botsali, Ahmet Reha

AU - Kose, Yildiz

AU - Cevikcan, Emre

PY - 2020

Y1 - 2020

N2 - Supplier selection is an important process for companies in the construction sector because of long-term projects and high cost. There are several criteria and alternatives to be considered in the construction industry and choosing the best multi-criteria decision‐making approach has become a critical step for selecting suppliers. Therefore, in this study, we analyze the problem of selecting the most convenient supplier for a construction company using two powerful multi-criteria decision‐making methods, Fuzzy AHP and Fuzzy TOPSIS. Due to the uncertainty embedded in problem’s nature and the ambiguity of the experts’ opinion, we prefer fuzzy methods. Various interviews were conducted with the experts at the companies in order to determine the criteria to be used in construction supplier evaluation. As a result of those interviews, 12 criteria that can be used for evaluating the alternative suppliers of the company were determined. This paper is comparing Fuzzy AHP and Fuzzy TOPSIS application results in a construction company in terms of determining the best supplier with respect to selected criteria. The contribution of this study is not only the application of the multi-criteria decision methodologies for supplier selection problem, but also it provides a comparison of two different multi-criteria decision making methods’ result.

AB - Supplier selection is an important process for companies in the construction sector because of long-term projects and high cost. There are several criteria and alternatives to be considered in the construction industry and choosing the best multi-criteria decision‐making approach has become a critical step for selecting suppliers. Therefore, in this study, we analyze the problem of selecting the most convenient supplier for a construction company using two powerful multi-criteria decision‐making methods, Fuzzy AHP and Fuzzy TOPSIS. Due to the uncertainty embedded in problem’s nature and the ambiguity of the experts’ opinion, we prefer fuzzy methods. Various interviews were conducted with the experts at the companies in order to determine the criteria to be used in construction supplier evaluation. As a result of those interviews, 12 criteria that can be used for evaluating the alternative suppliers of the company were determined. This paper is comparing Fuzzy AHP and Fuzzy TOPSIS application results in a construction company in terms of determining the best supplier with respect to selected criteria. The contribution of this study is not only the application of the multi-criteria decision methodologies for supplier selection problem, but also it provides a comparison of two different multi-criteria decision making methods’ result.

KW - Fuzzy AHP

KW - Fuzzy TOPSIS

KW - Supplier selection

KW - Supply chain management

UR - http://www.scopus.com/inward/record.url?scp=85069462979&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-23756-1_60

DO - 10.1007/978-3-030-23756-1_60

M3 - Conference contribution

AN - SCOPUS:85069462979

SN - 9783030237554

T3 - Advances in Intelligent Systems and Computing

SP - 481

EP - 487

BT - Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference

A2 - Kahraman, Cengiz

A2 - Cevik Onar, Sezi

A2 - Oztaysi, Basar

A2 - Sari, Irem Ucal

A2 - Cebi, Selcuk

A2 - Tolga, A.Cagri

PB - Springer Verlag

T2 - International Conference on Intelligent and Fuzzy Systems, INFUS 2019

Y2 - 23 July 2019 through 25 July 2019

ER -

Karabayir AN, Botsali AR, Kose Y, Cevikcan E. Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS. In Kahraman C, Cevik Onar S, Oztaysi B, Sari IU, Cebi S, Tolga AC, editörler, Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making - Proceedings of the INFUS 2019 Conference. Springer Verlag. 2020. p. 481-487. (Advances in Intelligent Systems and Computing). doi: 10.1007/978-3-030-23756-1_60

Supplier selection in a construction company using fuzzy AHP and fuzzy TOPSIS

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap