Araştırma Makalesi
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Comparison of AHP-TOPSIS and AHP-VIKOR Methods in Product Selection in terms of Inventory Management

Yıl 2019, Cilt: 11 Sayı: 1, 163 - 172, 31.01.2019
https://doi.org/10.29137/umagd.391359

Öz

Firms must develop and implement effective inventory policies that
minimize costs and maximize profits in today's market conditions where
extraordinary competition is experienced. Inventory has an important place in
the total assets of manufacturing enterprises. Implementation of effective
inventory management policies for this important item is crucial for the future
of firms. Firms can meet customer needs more effectively by controlling fewer
inventories that they classify according to their importance level. In this
study, which is prepared by taking advantage of this point of view, application
is presented that applies multi-criteria decision-making methods to determine
the most important product in terms of inventory management. In the process of
determining the product in the most important according to criteria determined,
AHP method which is frequently used in the literature is applied for
calculation weights of criteria. These weights are used in TOPSIS and VIKOR
methods and results of these two methods are compared.

Kaynakça

  • Hwang, C. L., and Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191). Springer, Berlin, Heidelberg.
  • Kılıç, A., Aygün, S., Aydın Keskin, G., and Baynal, K. A. (2014). Variant Perspective to Multi Criteria ABC Analysis Problem: Fuzzy Analytic Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution. Pamukkale University Journal of Engineering Sciences, 20(5), 179-188.
  • Kumar, G. A., Anzil, A., Ashik, K., James, A. T., and Ashok, J. K. (2017). Effective Inventory Management system through selective inventory control. Imperial Journal of Interdisciplinary Research, 3(6).
  • May, B. I., Atkinson, M. P., and Ferrer, G. (2017). Applying inventory classification to a large inventory management system. Journal of Operations and Supply Chain Management, 10(1), 68-86.
  • Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.
  • Opricovic, S., and Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455.
  • Özdemir, A., Özveri, O. (2013). Application of Analytic Hierarchy Process Analysis in Multi-Criteria Inventory Classification”. Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal, 19(2).
  • Partovi, F. Y., and Burton, J. (1993). Using the analytic hierarchy process for ABC analysis. International Journal of Operations & Production Management, 13(9), 29-44.
  • Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resources allocation. New York: McGraw, 281.
  • Zhou, P. and Fan, L. (2007). A note on multi-criteria ABC inventory classification using weighted linear optimization. European journal of operational research, 182(3), 1488-1491.
  • Aydin Keskin, G., and Ozkan, C. (2013). Multiple criteria ABC analysis with FCM clustering. Journal of Industrial Engineering, 2013.
  • Aydın, Ö. (2009). Hospital Location for Ankara with Fuzzy AHP. Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal, 24(2), 2009.
  • Bhattacharya, A., Sarkar, B., & Mukherjee, S. K. (2007). Distance-based consensus method for ABC analysis. International Journal of Production Research, 45(15), 3405-3420.
  • Boulos, M. N. K. (2003). Location-based health information services: a new paradigm in personalised information delivery. International journal of health geographics, 2(1), 2.
  • Cakir, O., and Canbolat, M. S. (2008). A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology. Expert Systems with Applications, 35(3), 1367-1378.
  • Chen, Y., Li, K. W., Kilgour, D. M., and Hipel, K. W. (2008). A case-based distance model for multiple criteria ABC analysis. Computers & Operations Research, 35(3), 776-796.
  • Ertugrul, I., and Tanriverdi, Y. (2013). ABC Method for Stock Controls and the Application of the AHP Analysis to Yarn Company. International Journal of Alanya Faculty of Business, 5(1), 2013.
  • Görgülü, I., Korkmaz, M., and Eren, T. (2013). Analytic network process and TOPSIS methods with selection of optimal investment strategy. Sigma, 31, 203-213.
  • Hatefi, S. M., and Torabi, S. A. (2015). A common weight linear optimization approach for multicriteria ABC inventory classification. Advances in Decision Sciences, 2015.

Envanter Yönetimi Açısından Ürün Seçiminde AHP-TOPSIS ve AHP-VIKOR Yöntemlerinin Karşılaştırılması

Yıl 2019, Cilt: 11 Sayı: 1, 163 - 172, 31.01.2019
https://doi.org/10.29137/umagd.391359

Öz

Firmalar, olağanüstü rekabetin yaşandığı günümüz pazar koşullarında
maliyetleri en aza indirgeyen ve kârları en üst düzeye çıkaran etkili envanter
politikaları geliştirmeli ve uygulamalıdır. Envanterler, imalat işletmelerinin
toplam varlıklarında önemli bir yere sahiptir. Bu önemli kalem için etkin
envanter yönetimi politikalarının uygulanması, firmanın geleceği için çok
önemlidir. Firmalar, önem seviyelerine göre sınıflandırdıkları envanteri
kontrol ederek müşteri ihtiyaçlarını daha etkin bir şekilde karşılayabilirler.
Bu bakış açısından yararlanılarak hazırlanan bu çalışmada, envanter yönetimi
açısından en önemli ürünü belirlemek için çok kriterli karar verme yöntemlerini
uygulayan bir uygulama sunulmuştur. Belirlenmiş kriterlere göre en önemli ürünü
belirleme sürecinde kriterlerin ağırlıklarının hesaplanması için literatürde
sıkça kullanılan AHP yöntemi uygulanmıştır. Bu ağırlıklar TOPSIS ve VIKOR
yöntemlerinde girdi olarak kullanılmış ve alternatifler sıralanmıştır.

Kaynakça

  • Hwang, C. L., and Yoon, K. (1981). Methods for multiple attribute decision making. In Multiple attribute decision making (pp. 58-191). Springer, Berlin, Heidelberg.
  • Kılıç, A., Aygün, S., Aydın Keskin, G., and Baynal, K. A. (2014). Variant Perspective to Multi Criteria ABC Analysis Problem: Fuzzy Analytic Hierarchy Process-Technique for Order Preference by Similarity to Ideal Solution. Pamukkale University Journal of Engineering Sciences, 20(5), 179-188.
  • Kumar, G. A., Anzil, A., Ashik, K., James, A. T., and Ashok, J. K. (2017). Effective Inventory Management system through selective inventory control. Imperial Journal of Interdisciplinary Research, 3(6).
  • May, B. I., Atkinson, M. P., and Ferrer, G. (2017). Applying inventory classification to a large inventory management system. Journal of Operations and Supply Chain Management, 10(1), 68-86.
  • Opricovic, S. (1998). Multicriteria optimization of civil engineering systems. Faculty of Civil Engineering, Belgrade, 2(1), 5-21.
  • Opricovic, S., and Tzeng, G. H. (2004). Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS. European journal of operational research, 156(2), 445-455.
  • Özdemir, A., Özveri, O. (2013). Application of Analytic Hierarchy Process Analysis in Multi-Criteria Inventory Classification”. Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal, 19(2).
  • Partovi, F. Y., and Burton, J. (1993). Using the analytic hierarchy process for ABC analysis. International Journal of Operations & Production Management, 13(9), 29-44.
  • Saaty, T. L. (1980). The analytic hierarchy process: planning, priority setting, resources allocation. New York: McGraw, 281.
  • Zhou, P. and Fan, L. (2007). A note on multi-criteria ABC inventory classification using weighted linear optimization. European journal of operational research, 182(3), 1488-1491.
  • Aydin Keskin, G., and Ozkan, C. (2013). Multiple criteria ABC analysis with FCM clustering. Journal of Industrial Engineering, 2013.
  • Aydın, Ö. (2009). Hospital Location for Ankara with Fuzzy AHP. Dokuz Eylul University Faculty of Economics and Administrative Sciences Journal, 24(2), 2009.
  • Bhattacharya, A., Sarkar, B., & Mukherjee, S. K. (2007). Distance-based consensus method for ABC analysis. International Journal of Production Research, 45(15), 3405-3420.
  • Boulos, M. N. K. (2003). Location-based health information services: a new paradigm in personalised information delivery. International journal of health geographics, 2(1), 2.
  • Cakir, O., and Canbolat, M. S. (2008). A web-based decision support system for multi-criteria inventory classification using fuzzy AHP methodology. Expert Systems with Applications, 35(3), 1367-1378.
  • Chen, Y., Li, K. W., Kilgour, D. M., and Hipel, K. W. (2008). A case-based distance model for multiple criteria ABC analysis. Computers & Operations Research, 35(3), 776-796.
  • Ertugrul, I., and Tanriverdi, Y. (2013). ABC Method for Stock Controls and the Application of the AHP Analysis to Yarn Company. International Journal of Alanya Faculty of Business, 5(1), 2013.
  • Görgülü, I., Korkmaz, M., and Eren, T. (2013). Analytic network process and TOPSIS methods with selection of optimal investment strategy. Sigma, 31, 203-213.
  • Hatefi, S. M., and Torabi, S. A. (2015). A common weight linear optimization approach for multicriteria ABC inventory classification. Advances in Decision Sciences, 2015.
Toplam 19 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Bölüm Makaleler
Yazarlar

Melda Kokoç

Süleyman Ersöz

Yayımlanma Tarihi 31 Ocak 2019
Gönderilme Tarihi 7 Şubat 2018
Yayımlandığı Sayı Yıl 2019 Cilt: 11 Sayı: 1

Kaynak Göster

APA Kokoç, M., & Ersöz, S. (2019). Comparison of AHP-TOPSIS and AHP-VIKOR Methods in Product Selection in terms of Inventory Management. International Journal of Engineering Research and Development, 11(1), 163-172. https://doi.org/10.29137/umagd.391359
Tüm hakları saklıdır. Kırıkkale Üniversitesi, Mühendislik Fakültesi.