Multi-Criteria Decision Making in Green Supply Chain Management: An Example of Automotive Main Industry

Yıl 2019, Cilt: 14 Sayı: 3, 675 - 698, 31.12.2019

Gozde Koca Sema Behdioğlu

https://doi.org/10.17153/oguiibf.491356

Cited By: 1

Öz

In this study, the Green Supply Chain, which is the environmental
dimension of the Sustainable Supply Chain Management was examined within the
framework of the Turkish Automotive Main Industry by using Multi Criteria
Decision Making methods. In the first phase, the criteria were determined. In
the second phase, criteria weighted. The sub-criteria of the green recycling
and the green design were determined to be the foreground. In the third
phase, the factories of Ford OTOSAN were evaluated by using 8 different
methods which include absolute numbers, fuzzy numbers and intuitive fuzzy
numbers. In the fourth phase, 10 different scenarios were developed. In this
way, the changes in the grading of the factories of Ford OTOSAN were traced
with sensitivity analysis. In conclusion, Intuitionistic Fuzzy TOPSIS methods using entropy weight
were seen as more effective ones.

Anahtar Kelimeler

Green Supply Chain Management, Multi Criteria Decision Making, Entropy, Intuitionistic Fuzzy TOPSIS

Yeşil Tedarik Zinciri Yönetiminde Çok Kriterli Karar Verme: Otomotiv Ana Sanayi Örneği

Öz

Çalışmada Sürdürülebilir
Tedarik Zinciri Yönetimi’nin (STZY) çevresel boyutu olan Yeşil Tedarik Zinciri
Yönetimi (YTZY), Türk Otomotiv Ana Sanayi bağlamında, Çok Kriterli Karar Verme
(ÇKKV) metotları kullanılarak incelenmiştir. Çalışmanın ilk aşamasında, YTZY
ait kriterler belirlenmiştir. İkinci aşamada, kriterler oran ağırlıkları
tekniği ile ağırlıklandırılmıştır. Ağırlıklandırma sonucunda, yeşil geri
dönüşüm ve yeşil tasarıma ait alt kriterlerin ön plana çıktığı belirlenmiştir.
Üçüncü aşamada, Ford OTOSAN’ın fabrikaları mutlak sayıları, bulanık sayıları ve
sezgisel bulanık sayıları içeren 8 ayrı metot kullanılarak, YTZY kriterlerine
göre değerlendirilmiştir. Dördüncü aşamada ise karar verici olarak yer alan 11
firmanın önem ağırlıkları değiştirilerek 10 farklı senaryo oluşturulmuştur.
Böylelikle Ford OTOSAN’ın fabrikalarının sıralamalarındaki değişimler
duyarlılık analizleri ile izlenmiştir. Sonuçta, bu çalışma için Entropi ile
Ağırlıklandırılmış Sezgisel Bulanık TOPSIS Metotları daha etkin olarak görülmüştür.

Anahtar Kelimeler

Yeşil Tedarik Zinciri Yönetimi, Çok Kriterli Karar Verme, Entropi, Sezgisel Bulanık TOPSIS

Kaynakça

• Atanassov, Krassimir T (1999), "Intuitionistic Fuzzy Sets", Intuitionistic Fuzzy Sets: Theory and Applications içinde (s.1-137), Physica-Verlag, Heidelberg.
• Borcherding, Katrin; Schmeer, Stefanie; Weber, Martin (1995), "Biases in multiattribute weight elicitation", Contributions to Decision Making, Elsevier.
• Chen, Chiau-Ching; Shih, Hsu-Shih, Shyur; Huan-Jyh; Wu, Kun-Shan (2012), "A Business Strategy Selection Of Green Supply Chain Management Via An Analytic Network Process", Computers & Mathematics with Applications, C.64(S.8), s.2544–2557.
• De Luca, Aldo.; Termini, Settimo. (1972), "A Definition Of A Nonprobabilistic Entropy İn The Setting Of Fuzzy Sets Theory", Information and Control, C.20(S.4), s.301–312.
• Demirci, Uğraş (2014), "Green Supply Chain Management Case: Turkish Automotive Industry by Practices, Pressures And Performance", Yayınlanmamış Yüksek Lisans Tezi, University of Gavle.
• Diabat, Ali; Govindan, Kannan (2011), "An Analysis of The Drivers Affecting The İmplementation Of Green Supply Chain Management", Resources, Conservation and Recycling, C.55(S.6), s.659–667.
• Diabat, Ali; Khodaverdi, Roohollah; Olfat, Laya (2013), "An Exploration of Green Supply Chain Practices and Performances in An Automotive Industry", The International Journal of Advanced Manufacturing Technology, C.68(S.1), s.949–961.
• Drohomeretski, Everton; Gouvea da Costa, Sergio; Pinheiro de Lima, Edson (2014), "Green Supply Chain Management", Journal of Manufacturing Technology Management, C.25(S.8), s.1105–1134.
• Edwards, Ward (1977), "How to Use Multiattribute Utility Measurement for Social Decisionmaking", IEEE Transactions on Systems, Man, and Cybernetics, C.7(S.5), s.326–340.
• Ghazanfari, Mehdi; Rouhani, Saeed; Jafari, Mostafa (2014), "A Fuzzy TOPSIS Model To Evaluate The Business Intelligence Competencies of Port Community Systems", Polish Maritime Research, C.21(S.2), s.86–96.
• Hung, Chia-Chang; Chen, Liang-Hsuan (2009), "A Multiple Criteria Group Decision Making Model with Entropy Weight in an Intuitionistic Fuzzy Environment" (ss. 17–26).
• Jain, V. K.; Sharma, Shivani (2012), "Green Supply Chain Management Practices in Automobile Industry: An Empirical Study", Journal of Supply Chain Management Systems, C.1(S.3), s.20.
• Krohling, Renato A.; Campanharo, Vinicius C. (2011), "Fuzzy TOPSIS For Group Decision Making: A Case Study For Accidents With Oil Spill İn The Sea", Expert Systems With Applications, C.38(S.4), s.4190–4197.
• Luthra, Sunil; Kumar, Vinod; Kumar, Sanjay; Haleem, Abid (2011), "Barriers To İmplement Green Supply Chain Management in Automobile Industry Using Interpretive Structural Modeling Technique-An Indian Perspective", Journal of Industrial Engineering and Management, C.4(S.2), s.231–257.
• Mathiyazhagan, Kaliyan; Govindan, Kannan; NoorulHaq, A.; Geng, Yong (2013), "An ISM Approach For The Barrier Analysis in Implementing Green Supply Chain Management", Journal of Cleaner Production, C.47, s.283–297.
• Rostamzadeh, Reza; Govindan, Kannan; Esmaeili, Ahmad; Sabaghi, Mahdi (2015), "Application of fuzzy VIKOR for evaluation of green supply chain management practices", Ecological Indicators, C.49, s.188–203.
• Sanghavi, Punit; Rana, Yash; Shenoy, Shridhar; Yadav, Rohit (2015), "A Review On Green Supply Chain Management in Automobile Industry", International Journal of Current Engineering and Technology, C.5(S.6), s.3697–3702.
• Sarkis, Joseph (2003), "A Strategic Decision Framework For Green Supply Chain Management", Journal of Cleaner Production, C.11(S.4), s.397–409.
• Shang, Kuo-Chung; Lu, Chin-Shan; Li, Shaorui (2010), "A Taxonomy Of Green Supply Chain Management Capability Among Electronics-Related Manufacturing Firms in Taiwan", Journal of Environmental Management, C.91(S.5), s.1218–1226.
• Szmidt, Eulalia; Kacprzyk, Janusz (2001), "Entropy For Intuitionistic Fuzzy Sets", Fuzzy Sets And Systems, C.118(S.3), s.467–477.
• Vanalle, Maria Rosangela ve Blanco Santos, Leandro (2014), "Green Supply Chain Management in Brazilian Automotive Sector", Management of Environmental Quality: An International Journal, C.25(S.5), s.523–541.
• Vlachos, Ioannis K.; Sergiadis, George D. (2007), "Intuitionistic Fuzzy Information–Applications To Pattern Recognition", Pattern Recognition Letters, C.28(S.2), s.197–206.
• Wang, Tien-Chin; Lee, Hsien-Da; Chang, Michael Chao-Sheng (2007), "A Fuzzy TOPSIS Approach With Entropy Measure For Decision-Making Problem", Industrial Engineering and Engineering Management, 2007 IEEE International Conference on, 124–128.
• Wood, David A. (2016), "Supplier Selection For Development Of Petroleum İndustry Facilities, Applying Multi-Criteria Decision Making Techniques Including Fuzzy and Intuitionistic Fuzzy TOPSIS With Flexible Entropy Weighting", Journal of Natural Gas Science and Engineering, C.28, s.594–612.
• Ye, Jun (2010), "Multicriteria Fuzzy Decision-Making Method Using Entropy Weights-Based Correlation Coefficients Of İnterval-Valued Intuitionistic Fuzzy Sets", Applied Mathematical Modelling, C.34(S.12), s.3864–3870.