Araştırma Makalesi
The Analysis of the Importance of the Criteria Used in the Selection of Transport Vehicle According to Cargo Companies by BWM
Öz
This study has tried to determine that the cargo companies give more importance to which criteria in the vehicle selection. BWM (Best-Worst Method) was used to determine the importance levels of the criteria. The data required for the implementation of BWM was obtained from the branch managers of three cargo companies located in a province in Eastern Anatolia. Branch managers have determined five main criteria and 19 sub-criteria for this evaluation process. According to the BWM method results, while the most important criterion among the 19 sub-criteria was determined as the vehicle's sale price, the least important criterion was identified as the exterior design of the vehicle. It is seen that the number of studies on this method in the domestic literature is limited. Also, the number of studies on vehicle selection in the logistics sector is limited. For the reasons stated, this study is thought to contribute to the literature.
Anahtar Kelimeler
Kaynakça
- Ahmadi, H. B., Kusi-Sarpong, S. ve Rezaei, J. (2017). Assessing the social sustainability of supply chains using Best Worst Method. Resources, Conservation and Recycling, 126, 99-106.
- Arslan, H. M. (2017). AHP-ARAS Hibrit yöntemi ile lojistik işletmelerinin en uygun araç seçimi. Alphanumeric Journal, 5(2), 271-282.
- Çakır, E. ve Can, M. (2019). Best-Worst Yöntemine Dayalı ARAS Yöntemi ile Dış Kaynak Kullanım Tercihinin Belirlenmesi: Turizm Sektöründe Bir Uygulama. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 23(3), 1273-1300.
- Doğan, E. M., Eren, M. ve Çelik, K. (2017). Lojistik sektöründe ağır ticari araç seçimi problemine yönelik COPRAS-G yöntemi ile karar verme. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, 19(1), 153-178.
- Ghaffari, S., Arab, A., Nafari, J. ve Manteghi, M. (2017). Investigation and evaluation of key success factors in technological innovation development based on BWM. Decision Science Letters, 6(3), 295-306.
- Gupta, H. ve Barua, M. K. (2016). Identifying enablers of technological innovation for Indian MSMEs using best–worst multi criteria decision making method. Technological Forecasting and Social Change, 107, 69-79.
- Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.
- Kabak, M. ve Uyar, Ö. O. (2013). Lojistik sektöründe ağır ticari araç seçimi problemine çok ölçütlü bir yaklaşım. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 28(1), 115-125.
- Kheybari, S., Kazemi, M. ve Rezaei, J. (2019). Bioethanol facility location selection using best-worst method. Applied energy, 242, 612-623.
- Liao, H., Mi, X., Yu, Q. ve Luo, L. (2019). Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing. Journal of Cleaner Production, 232, 657-671.
- Moktadir, M. A., Ali, S. M., Kusi-Sarpong, S. ve Shaikh, M. A. A. (2018). Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection. Process Safety and Environmental Protection, 117, 730-741.
- Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
- Rezaei, J., Wang, J. ve Tavasszy, L. (2015). Linking supplier development to supplier segmentation using Best Worst Method. Expert Systems with Applications, 42(23), 9152-9164.
- Rezaei, J., Nispeling, T., Sarkis, J. ve Tavasszy, L. (2016). A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method. Journal of Cleaner Production, 135, 577-588.
- Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126-130.
- Rezaei, J., van Roekel, W. S. ve Tavasszy, L. (2018). Measuring the relative importance of the logistics performance index indicators using Best Worst Method. Transport Policy, 68, 158-169.
- Sadaghiani, S., Ahmad, K. W., Rezaei, J. ve Tavasszy, L. (2015, April). Evaluation of external forces affecting supply chain sustainability in oil and gas industry using Best Worst Method. In 2015 International Mediterranean Gas and Oil Conference (MedGO) (pp. 1-4). IEEE.
- Salimi, N. ve Rezaei, J. (2016). Measuring efficiency of university-industry Ph. D. projects using best worst method. Scientometrics, 109(3), 1911-1938.
- Salimi, N. (2017). Quality assessment of scientific outputs using the BWM. Scientometrics, 112(1), 195-213.
- Salimi, N. ve Rezaei, J. (2018). Evaluating firms’ R&D performance using best worst method. Evaluation and program planning, 66, 147-155.
- Şenyiğit, E. ve Ünal, Z. (2019). BWM-MOPA Yöntemi ile En İyi RFID Sisteminin Belirlenmesi. Avrupa Bilim ve Teknoloji Dergisi, 9-14.
The Analysis of the Importance of the Criteria Used in the Selection of Transport Vehicle According to Cargo Companies by BWM
Öz
This study has tried to determine that the cargo companies give more importance to which criteria in the vehicle selection. BWM (Best-Worst Method) was used to determine the importance levels of the criteria. The data required for the implementation of BWM was obtained from the branch managers of three cargo companies located in a province in Eastern Anatolia. Branch managers have determined five main criteria and 19 sub-criteria for this evaluation process. According to the BWM method results, while the most important criterion among the 19 sub-criteria was determined as the vehicle's sale price, the least important criterion was identified as the exterior design of the vehicle. It is seen that the number of studies on this method in the domestic literature is limited. Also, the number of studies on vehicle selection in the logistics sector is limited. For the reasons stated, this study is thought to contribute to the literature. |
Anahtar Kelimeler
Kaynakça
- Ahmadi, H. B., Kusi-Sarpong, S. ve Rezaei, J. (2017). Assessing the social sustainability of supply chains using Best Worst Method. Resources, Conservation and Recycling, 126, 99-106.
- Arslan, H. M. (2017). AHP-ARAS Hibrit yöntemi ile lojistik işletmelerinin en uygun araç seçimi. Alphanumeric Journal, 5(2), 271-282.
- Çakır, E. ve Can, M. (2019). Best-Worst Yöntemine Dayalı ARAS Yöntemi ile Dış Kaynak Kullanım Tercihinin Belirlenmesi: Turizm Sektöründe Bir Uygulama. Atatürk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 23(3), 1273-1300.
- Doğan, E. M., Eren, M. ve Çelik, K. (2017). Lojistik sektöründe ağır ticari araç seçimi problemine yönelik COPRAS-G yöntemi ile karar verme. Afyon Kocatepe Üniversitesi Sosyal Bilimler Dergisi, 19(1), 153-178.
- Ghaffari, S., Arab, A., Nafari, J. ve Manteghi, M. (2017). Investigation and evaluation of key success factors in technological innovation development based on BWM. Decision Science Letters, 6(3), 295-306.
- Gupta, H. ve Barua, M. K. (2016). Identifying enablers of technological innovation for Indian MSMEs using best–worst multi criteria decision making method. Technological Forecasting and Social Change, 107, 69-79.
- Gupta, H. (2018). Evaluating service quality of airline industry using hybrid best worst method and VIKOR. Journal of Air Transport Management, 68, 35-47.
- Kabak, M. ve Uyar, Ö. O. (2013). Lojistik sektöründe ağır ticari araç seçimi problemine çok ölçütlü bir yaklaşım. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, 28(1), 115-125.
- Kheybari, S., Kazemi, M. ve Rezaei, J. (2019). Bioethanol facility location selection using best-worst method. Applied energy, 242, 612-623.
- Liao, H., Mi, X., Yu, Q. ve Luo, L. (2019). Hospital performance evaluation by a hesitant fuzzy linguistic best worst method with inconsistency repairing. Journal of Cleaner Production, 232, 657-671.
- Moktadir, M. A., Ali, S. M., Kusi-Sarpong, S. ve Shaikh, M. A. A. (2018). Assessing challenges for implementing Industry 4.0: Implications for process safety and environmental protection. Process Safety and Environmental Protection, 117, 730-741.
- Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
- Rezaei, J., Wang, J. ve Tavasszy, L. (2015). Linking supplier development to supplier segmentation using Best Worst Method. Expert Systems with Applications, 42(23), 9152-9164.
- Rezaei, J., Nispeling, T., Sarkis, J. ve Tavasszy, L. (2016). A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method. Journal of Cleaner Production, 135, 577-588.
- Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega, 64, 126-130.
- Rezaei, J., van Roekel, W. S. ve Tavasszy, L. (2018). Measuring the relative importance of the logistics performance index indicators using Best Worst Method. Transport Policy, 68, 158-169.
- Sadaghiani, S., Ahmad, K. W., Rezaei, J. ve Tavasszy, L. (2015, April). Evaluation of external forces affecting supply chain sustainability in oil and gas industry using Best Worst Method. In 2015 International Mediterranean Gas and Oil Conference (MedGO) (pp. 1-4). IEEE.
- Salimi, N. ve Rezaei, J. (2016). Measuring efficiency of university-industry Ph. D. projects using best worst method. Scientometrics, 109(3), 1911-1938.
- Salimi, N. (2017). Quality assessment of scientific outputs using the BWM. Scientometrics, 112(1), 195-213.
- Salimi, N. ve Rezaei, J. (2018). Evaluating firms’ R&D performance using best worst method. Evaluation and program planning, 66, 147-155.
- Şenyiğit, E. ve Ünal, Z. (2019). BWM-MOPA Yöntemi ile En İyi RFID Sisteminin Belirlenmesi. Avrupa Bilim ve Teknoloji Dergisi, 9-14.
Toplam 21 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | Türkçe |
|---|---|
| Konular | Yöneylem |
| Bölüm | Research Articles |
| Yazarlar | |
| Yayımlanma Tarihi | 21 Eylül 2020 |
| Kabul Tarihi | 14 Eylül 2020 |
| Yayımlandığı Sayı | Yıl 2020 Cilt: 7 Sayı: 2 |
