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Selection of Optimum Maintenance Strategy Based on Fuzzy TOPSIS and Fuzzy AHP: An Application in A Food Company

Yıl 2021, Sayı: 22, 212 - 225, 31.01.2021
https://doi.org/10.31590/ejosat.838168

Öz

Determining the appropriate maintenance management strategy increases the efficiency and reliability of companies, while incorrect maintenance activities significantly reduce the profits and productivity of companies. In today’s challenging competition conditions, maintenance planning activities have an important share of operating expenses. Therefore, it is important to correctly determine the ideal proper maintenance strategy for the survival of the businesses. In this study, it is aimed to select the most appropriate maintenance strategy utilizing fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) and fuzzy AHP (Analytic Hierarchy Process) methods for a food company in Turkey. Four main criteria (safety, cost, reliability, and added value), twelve sub-criteria and five alternatives (corrective maintenance, time-based preventive maintenance, opportunistic maintenance, condition-based maintenance, and predictive maintenance) were defined to determine the most appropriate maintenance strategy. The obtained results were compared to each other and then the most appropriate maintenance alternative was selected for the company.

Kaynakça

  • Aghaee, M. ve Fazli, S. (2012). An improved MCDM method for maintenance approach selection: A case study of auto industry. Management Science Letters, 2, 137–146. doi:10.5267/j.msl.2011.09.012
  • Ahmadi, A., Gupta, S., Karim, R. ve Kumar, U. (2010). Selection of maintenance strategy for aircraft systems using multi-criteria decision making methodologies. International Journal of Reliability, Quality and Safety Engineering, 17(03), 223–243. doi:10.1142/S0218539310003779
  • Al-Najjar, B. ve Alsyouf, I. (2003). Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. International Journal of Production Economics, 84(1), 85–100. doi:10.1016/S0925-5273(02)00380-8
  • Asuquo, M. P., Wang, J., Zhang, L. ve Phylip-Jones, G. (2019). Application of a multiple attribute group decision making (MAGDM) model for selecting appropriate maintenance strategy for marine and offshore machinery operations. Ocean Engineering, 179, 246–260. doi:10.1016/J.OCEANENG.2019.02.065
  • Azizi, A. ve Fathi, K. (2014). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. Management Science Letters, 4(5), 893–898. doi:10.5267/j.msl.2014.3.028
  • Bertolini, M., Bevilacqua, M., Braglia, M. ve Frosolini, M. (2004). An analytical method for maintenance outsourcing service selection. International Journal of Quality & Reliability Management, 21(7), 772–788. doi:10.1108/02656710410549118
  • Bevilacqua, M. ve Braglia, M. (2000). The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering & System Safety, 70(1), 71–83. doi:10.1016/S0951-8320(00)00047-8
  • Cayir Ervural, B., Evren, R. ve Delen, D. (2018). A multi-objective decision-making approach for sustainable energy investment planning. Renewable Energy, 126, 387–402. doi:10.1016/J.RENENE.2018.03.051
  • Cayir Ervural, B., Zaim, S., Demirel, O. F., Aydin, Z. ve Delen, D. (2018). An ANP and fuzzy TOPSIS-based SWOT analysis for Turkey’s energy planning. Renewable and Sustainable Energy Reviews, 82, 1538–1550. doi:10.1016/J.RSER.2017.06.095
  • Chan, F. T. S. ve Prakash, A. (2012). Maintenance policy selection in manufacturing firms using the fuzzy MCDM approach. International Journal of Production Research, 50(23), 7044–7056. doi:10.1080/00207543.2011.653451
  • Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655. doi:10.1016/0377-2217(95)00300-2
  • Chen, C.-T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1–9. doi:10.1016/S0165-0114(97)00377-1
  • Elseddawy, A. Z. ve Kandil, A. H. (2018). Selection of Appropriate Maintenance Strategy for Medical Equipment. 2018 9th Cairo International Biomedical Engineering Conference (CIBEC) içinde (ss. 73–77). IEEE. doi:10.1109/CIBEC.2018.8641811
  • Emovon, I., Norman, R. A. ve Murphy, A. J. (2018). Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems. Journal of Intelligent Manufacturing, 29(3), 519–531. doi:10.1007/s10845-015-1133-6
  • Fathi, M. R., Momeni, M., Zarchi, M. K. ve Azizollahi, S. (2011). A Fuzzy TOPSIS-Based Approach to Maintenance Strategy Selection: A Case Study. Middle-East Journal of Scientific Research, 8(3), 699–706.
  • Fazlollahtabar, H. ve Yousefpoor, N. (2008). Selection of Optimum Maintenance Strategies in a Virtual Learning Environment based on Analytic Hierarchy Process.
  • Ge, Y., Xiao, M., Yang, Z., Zhang, L., Hu, Z. ve Feng, D. (2017). An integrated logarithmic fuzzy preference programming based methodology for optimum maintenance strategies selection. Applied Soft Computing, 60, 591–601. doi:10.1016/J.ASOC.2017.07.021
  • Gedikli, T. ve Cayir Ervural, B. (2020). Selection of Optimum Maintenance Strategy Using Multi-criteria Decision Making Approaches. Industrial Engineering in the Digital Disruption Era içinde (ss. 156–170). Springer, Cham. doi:10.1007/978-3-030-42416-9_15
  • Gedikli, T., Ervural, B. C. ve Sen, D. T. (2021). Evaluation of Maintenance Strategies Using Pythagorean Fuzzy TOPSIS Method. Advances in Intelligent Systems and Computing içinde (C. 1197 AISC, ss. 512–521). Springer. doi:10.1007/978-3-030-51156-2_59
  • Görener, A. (2013). Bakım stratejilerinin bulanık karar ortamında seçimi için WSA ve TOPSIS yöntemlerinin uygulanması. Journal of Engineering and Natural Sciences, (216), 159–177.
  • Hwang, C. C.-L. ve Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications (C. 186). New York: Springer.
  • Ilangkumaran, M. ve Kumanan, S. (2009). Selection of maintenance policy for textile industry using hybrid multi‐criteria decision making approach. Journal of Manufacturing Technology Management, 20(7), 1009–1022. doi:10.1108/17410380910984258
  • Jayaswal, P., Sagar, M. K. ve Kushwah, K. (2013). Maintenance Strategy Selection by Fuzzy TOPSIS Method of Material Handling Equipment. International Journal of Emerging Trends in Engineering and Development, 2(3), 126–135.
  • Kahraman, C., Cebeci, U. ve Ruan, D. (2004). Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. International Journal of Production Economics, 87(2), 171–184. doi:10.1016/S0925-5273(03)00099-9
  • Kahraman, C., Ruan, D. ve Doǧan, I. (2003). Fuzzy group decision-making for facility location selection. Information Sciences, 157, 135–153. doi:10.1016/S0020-0255(03)00183-X
  • Kaya, T. ve Kahraman, C. (2011). Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology. Expert Systems with Applications, 38(6), 6577–6585. doi:10.1016/J.ESWA.2010.11.081
  • Kirubakaran, B. ve Ilangkumaran, M. (2016). Selection of optimum maintenance strategy based on FAHP integrated with GRA–TOPSIS. Annals of Operations Research, 245(1–2), 285–313. doi:10.1007/s10479-014-1775-3
  • Kumar, G. ve Maiti, J. (2012). Modeling risk based maintenance using fuzzy analytic network process. Expert Systems with Applications, 39(11), 9946–9954. doi:10.1016/J.ESWA.2012.01.004
  • Kumar Sagar, M., Jayaswal, P. ve Kushwah, K. (2013). Exploring Fuzzy SAW Method for Maintenance Strategy Selection Problem of Material Handling Equipment. International Journal of Current Engineering and Technology, 3(2), 600–605. http://inpressco.com/category/ijcet adresinden erişildi.
  • Kundakcı, N. (2019). Selection of Maintenance Strategy For a Manufacturing Company with Fuzzy Moora Method. https://www.dpublication.com/wp-content/uploads/2019/07/49-959-ICBME.pdf adresinden erişildi.
  • Li, C., Xu, M. ve Guo, S. (2007). ELECTRE III based on ranking fuzzy numbers for deterministic and fuzzy maintenance strategy decision problems. Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007 içinde (ss. 309–312). IEEE. doi:10.1109/ICAL.2007.4338577
  • Lima Junior, F. R., Osiro, L. ve Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194–209. doi:10.1016/J.ASOC.2014.03.014
  • Mey, Y. (2016). Fuzzy analytical hierarchy process for the selection of maintenance policies within petroleum industry, (3), 529–534.
  • Nezami, F. G. ve Yildirim, M. B. (2013). A sustainability approach for selecting maintenance strategy. International Journal of Sustainable Engineering, 6(4), 332–343. doi:10.1080/19397038.2013.765928
  • Odeyale, S. O., Alamu, O. J. ve Odeyale, E. O. (2013). The Analytical Hierarchy Process Concept for Maintenance Strategy Selection in Manufacturing Industries. The Pacific Journal of Science and Technology, 14(1), 223-233.
  • Opricovic, S. ve 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. doi:10.1016/S0377-2217(03)00020-1
  • Özcan, E., Danışan, T. ve Eren, T. (2019). Hidroelektrik Santralların En Kritik Elektriksel Ekipman Gruplarının Bakım Stratejilerinin Optimizasyonu İçin Matematiksel Bir Model Önerisi. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 25(4), 498–506. doi:10.5505/pajes.2018.38455
  • Özcan, E., Ünlüsoy, S. ve Eren, T. (2017). A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants. Renewable and Sustainable Energy Reviews, 78, 1410–1423. doi:10.1016/J.RSER.2017.04.039
  • Pariazar, M., Shahrabi, J., Zaeri, M. S. ve Parhizi, S. (2008). A combined approach for maintenance strategy selection. Journal of Applied Sciences. doi:10.3923/jas.2008.4321.4329
  • Pourjavad, E., Shirouyehzad, H. ve Shahin, A. (2013). Selecting maintenance strategy in mining industry by analytic network process and TOPSIS. International Journal of Industrial and Systems Engineering, 15(2), 171. doi:10.1504/ijise.2013.056095
  • Pun, K. P., Tsang, Y. P., Choy, K. L., Tang, V. ve Lam, H. Y. (2017). A Fuzzy-AHP-Based Decision Support System for Maintenance Strategy Selection in Facility Management. 2017 Portland International Conference on Management of Engineering and Technology (PICMET) içinde (ss. 1–7). IEEE. doi:10.23919/PICMET.2017.8125300
  • Saaty, T. L. (1980). What is the Analytic Hierarchy Process? Mathematical Models for Decision Support içinde (ss. 109–121). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-83555-1_5
  • Seçme, N. Y., Bayrakdaroğlu, A. ve Kahraman, C. (2009). Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with Applications, 36(9), 11699–11709. doi:10.1016/J.ESWA.2009.03.013
  • Shyjith, K., Ilangkumaran, M. ve Kumanan, S. (2008). Multi-criteria decision-making approach to evaluate optimum maintenance strategy in textile industry. Journal of Quality in Maintenance Engineering, 14(4), 375–386. doi:10.1108/13552510810909975
  • Tolga, E., Demircan, M. L. ve Kahraman, C. (2005). Operating system selection using fuzzy replacement analysis and analytic hierarchy process. International Journal of Production Economics, 97(1), 89–117. doi:10.1016/J.IJPE.2004.07.001
  • Wang, L., Chu, J. ve Wu, J. (2007). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. International Journal of Production Economics, 107(1), 151–163. doi:10.1016/j.ijpe.2006.08.005
  • Xie, H., Shi, L. ve Xu, H. (2013). Transformer Maintenance Policies Selection Based on an Improved Fuzzy Analytic Hierarchy Process. Journal of Computers, 8(5), 1343–1350. doi:10.4304/jcp.8.5.1343-1350

Bulanık TOPSIS ve Bulanık AHP Yaklaşımlarıyla En Uygun Bakım Stratejisinin Belirlenmesi: Bir Gıda İşletmesinde Uygulama

Yıl 2021, Sayı: 22, 212 - 225, 31.01.2021
https://doi.org/10.31590/ejosat.838168

Öz

Uygun bakım planlaması, işletmelerin verimliliğini ve güvenilirliğini artırırken, uygun olmayan bakım stratejileri şirketlerin kazancını ve etkinliğini önemli ölçüde azaltmaktadır. Rekabet şartlarının kızıştığı günümüzde bakım planlama çalışmaları işletme giderlerinde önemli bir paya sahiptir. Bu nedenle işletmelerin ayakta kalmalarında uygun bakım stratejisi politikalarının doğru biçimde belirlenmesi ciddi önem taşımaktadır. Bu çalışmada, Türkiye'de bir gıda işletmesi için bulanık TOPSIS (Technique for Order Preference by Similarity to Ideal Solutions) ve bulanık analitik hiyerarşi süreci (AHP) yöntemleri kullanılarak en uygun bakım stratejisinin seçilmesi amaçlanmaktadır. En uygun bakım stratejisini belirlemek için dört ana kriter (güvenlik, maliyet, güvenilirlik ve katma değer), on iki alt kriter ve beş alternatif (düzeltici bakım, periyodik bakım, fırsatçı bakım, duruma dayalı bakım ve kestirimci bakım) tanımlanmıştır. Elde edilen sonuçlar karşılaştırılmış ve işletme için en uygun bakım stratejisi seçilmiştir.

Kaynakça

  • Aghaee, M. ve Fazli, S. (2012). An improved MCDM method for maintenance approach selection: A case study of auto industry. Management Science Letters, 2, 137–146. doi:10.5267/j.msl.2011.09.012
  • Ahmadi, A., Gupta, S., Karim, R. ve Kumar, U. (2010). Selection of maintenance strategy for aircraft systems using multi-criteria decision making methodologies. International Journal of Reliability, Quality and Safety Engineering, 17(03), 223–243. doi:10.1142/S0218539310003779
  • Al-Najjar, B. ve Alsyouf, I. (2003). Selecting the most efficient maintenance approach using fuzzy multiple criteria decision making. International Journal of Production Economics, 84(1), 85–100. doi:10.1016/S0925-5273(02)00380-8
  • Asuquo, M. P., Wang, J., Zhang, L. ve Phylip-Jones, G. (2019). Application of a multiple attribute group decision making (MAGDM) model for selecting appropriate maintenance strategy for marine and offshore machinery operations. Ocean Engineering, 179, 246–260. doi:10.1016/J.OCEANENG.2019.02.065
  • Azizi, A. ve Fathi, K. (2014). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. Management Science Letters, 4(5), 893–898. doi:10.5267/j.msl.2014.3.028
  • Bertolini, M., Bevilacqua, M., Braglia, M. ve Frosolini, M. (2004). An analytical method for maintenance outsourcing service selection. International Journal of Quality & Reliability Management, 21(7), 772–788. doi:10.1108/02656710410549118
  • Bevilacqua, M. ve Braglia, M. (2000). The analytic hierarchy process applied to maintenance strategy selection. Reliability Engineering & System Safety, 70(1), 71–83. doi:10.1016/S0951-8320(00)00047-8
  • Cayir Ervural, B., Evren, R. ve Delen, D. (2018). A multi-objective decision-making approach for sustainable energy investment planning. Renewable Energy, 126, 387–402. doi:10.1016/J.RENENE.2018.03.051
  • Cayir Ervural, B., Zaim, S., Demirel, O. F., Aydin, Z. ve Delen, D. (2018). An ANP and fuzzy TOPSIS-based SWOT analysis for Turkey’s energy planning. Renewable and Sustainable Energy Reviews, 82, 1538–1550. doi:10.1016/J.RSER.2017.06.095
  • Chan, F. T. S. ve Prakash, A. (2012). Maintenance policy selection in manufacturing firms using the fuzzy MCDM approach. International Journal of Production Research, 50(23), 7044–7056. doi:10.1080/00207543.2011.653451
  • Chang, D.-Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649–655. doi:10.1016/0377-2217(95)00300-2
  • Chen, C.-T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems, 114(1), 1–9. doi:10.1016/S0165-0114(97)00377-1
  • Elseddawy, A. Z. ve Kandil, A. H. (2018). Selection of Appropriate Maintenance Strategy for Medical Equipment. 2018 9th Cairo International Biomedical Engineering Conference (CIBEC) içinde (ss. 73–77). IEEE. doi:10.1109/CIBEC.2018.8641811
  • Emovon, I., Norman, R. A. ve Murphy, A. J. (2018). Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems. Journal of Intelligent Manufacturing, 29(3), 519–531. doi:10.1007/s10845-015-1133-6
  • Fathi, M. R., Momeni, M., Zarchi, M. K. ve Azizollahi, S. (2011). A Fuzzy TOPSIS-Based Approach to Maintenance Strategy Selection: A Case Study. Middle-East Journal of Scientific Research, 8(3), 699–706.
  • Fazlollahtabar, H. ve Yousefpoor, N. (2008). Selection of Optimum Maintenance Strategies in a Virtual Learning Environment based on Analytic Hierarchy Process.
  • Ge, Y., Xiao, M., Yang, Z., Zhang, L., Hu, Z. ve Feng, D. (2017). An integrated logarithmic fuzzy preference programming based methodology for optimum maintenance strategies selection. Applied Soft Computing, 60, 591–601. doi:10.1016/J.ASOC.2017.07.021
  • Gedikli, T. ve Cayir Ervural, B. (2020). Selection of Optimum Maintenance Strategy Using Multi-criteria Decision Making Approaches. Industrial Engineering in the Digital Disruption Era içinde (ss. 156–170). Springer, Cham. doi:10.1007/978-3-030-42416-9_15
  • Gedikli, T., Ervural, B. C. ve Sen, D. T. (2021). Evaluation of Maintenance Strategies Using Pythagorean Fuzzy TOPSIS Method. Advances in Intelligent Systems and Computing içinde (C. 1197 AISC, ss. 512–521). Springer. doi:10.1007/978-3-030-51156-2_59
  • Görener, A. (2013). Bakım stratejilerinin bulanık karar ortamında seçimi için WSA ve TOPSIS yöntemlerinin uygulanması. Journal of Engineering and Natural Sciences, (216), 159–177.
  • Hwang, C. C.-L. ve Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications (C. 186). New York: Springer.
  • Ilangkumaran, M. ve Kumanan, S. (2009). Selection of maintenance policy for textile industry using hybrid multi‐criteria decision making approach. Journal of Manufacturing Technology Management, 20(7), 1009–1022. doi:10.1108/17410380910984258
  • Jayaswal, P., Sagar, M. K. ve Kushwah, K. (2013). Maintenance Strategy Selection by Fuzzy TOPSIS Method of Material Handling Equipment. International Journal of Emerging Trends in Engineering and Development, 2(3), 126–135.
  • Kahraman, C., Cebeci, U. ve Ruan, D. (2004). Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. International Journal of Production Economics, 87(2), 171–184. doi:10.1016/S0925-5273(03)00099-9
  • Kahraman, C., Ruan, D. ve Doǧan, I. (2003). Fuzzy group decision-making for facility location selection. Information Sciences, 157, 135–153. doi:10.1016/S0020-0255(03)00183-X
  • Kaya, T. ve Kahraman, C. (2011). Multicriteria decision making in energy planning using a modified fuzzy TOPSIS methodology. Expert Systems with Applications, 38(6), 6577–6585. doi:10.1016/J.ESWA.2010.11.081
  • Kirubakaran, B. ve Ilangkumaran, M. (2016). Selection of optimum maintenance strategy based on FAHP integrated with GRA–TOPSIS. Annals of Operations Research, 245(1–2), 285–313. doi:10.1007/s10479-014-1775-3
  • Kumar, G. ve Maiti, J. (2012). Modeling risk based maintenance using fuzzy analytic network process. Expert Systems with Applications, 39(11), 9946–9954. doi:10.1016/J.ESWA.2012.01.004
  • Kumar Sagar, M., Jayaswal, P. ve Kushwah, K. (2013). Exploring Fuzzy SAW Method for Maintenance Strategy Selection Problem of Material Handling Equipment. International Journal of Current Engineering and Technology, 3(2), 600–605. http://inpressco.com/category/ijcet adresinden erişildi.
  • Kundakcı, N. (2019). Selection of Maintenance Strategy For a Manufacturing Company with Fuzzy Moora Method. https://www.dpublication.com/wp-content/uploads/2019/07/49-959-ICBME.pdf adresinden erişildi.
  • Li, C., Xu, M. ve Guo, S. (2007). ELECTRE III based on ranking fuzzy numbers for deterministic and fuzzy maintenance strategy decision problems. Proceedings of the IEEE International Conference on Automation and Logistics, ICAL 2007 içinde (ss. 309–312). IEEE. doi:10.1109/ICAL.2007.4338577
  • Lima Junior, F. R., Osiro, L. ve Carpinetti, L. C. R. (2014). A comparison between Fuzzy AHP and Fuzzy TOPSIS methods to supplier selection. Applied Soft Computing, 21, 194–209. doi:10.1016/J.ASOC.2014.03.014
  • Mey, Y. (2016). Fuzzy analytical hierarchy process for the selection of maintenance policies within petroleum industry, (3), 529–534.
  • Nezami, F. G. ve Yildirim, M. B. (2013). A sustainability approach for selecting maintenance strategy. International Journal of Sustainable Engineering, 6(4), 332–343. doi:10.1080/19397038.2013.765928
  • Odeyale, S. O., Alamu, O. J. ve Odeyale, E. O. (2013). The Analytical Hierarchy Process Concept for Maintenance Strategy Selection in Manufacturing Industries. The Pacific Journal of Science and Technology, 14(1), 223-233.
  • Opricovic, S. ve 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. doi:10.1016/S0377-2217(03)00020-1
  • Özcan, E., Danışan, T. ve Eren, T. (2019). Hidroelektrik Santralların En Kritik Elektriksel Ekipman Gruplarının Bakım Stratejilerinin Optimizasyonu İçin Matematiksel Bir Model Önerisi. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, 25(4), 498–506. doi:10.5505/pajes.2018.38455
  • Özcan, E., Ünlüsoy, S. ve Eren, T. (2017). A combined goal programming – AHP approach supported with TOPSIS for maintenance strategy selection in hydroelectric power plants. Renewable and Sustainable Energy Reviews, 78, 1410–1423. doi:10.1016/J.RSER.2017.04.039
  • Pariazar, M., Shahrabi, J., Zaeri, M. S. ve Parhizi, S. (2008). A combined approach for maintenance strategy selection. Journal of Applied Sciences. doi:10.3923/jas.2008.4321.4329
  • Pourjavad, E., Shirouyehzad, H. ve Shahin, A. (2013). Selecting maintenance strategy in mining industry by analytic network process and TOPSIS. International Journal of Industrial and Systems Engineering, 15(2), 171. doi:10.1504/ijise.2013.056095
  • Pun, K. P., Tsang, Y. P., Choy, K. L., Tang, V. ve Lam, H. Y. (2017). A Fuzzy-AHP-Based Decision Support System for Maintenance Strategy Selection in Facility Management. 2017 Portland International Conference on Management of Engineering and Technology (PICMET) içinde (ss. 1–7). IEEE. doi:10.23919/PICMET.2017.8125300
  • Saaty, T. L. (1980). What is the Analytic Hierarchy Process? Mathematical Models for Decision Support içinde (ss. 109–121). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-83555-1_5
  • Seçme, N. Y., Bayrakdaroğlu, A. ve Kahraman, C. (2009). Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with Applications, 36(9), 11699–11709. doi:10.1016/J.ESWA.2009.03.013
  • Shyjith, K., Ilangkumaran, M. ve Kumanan, S. (2008). Multi-criteria decision-making approach to evaluate optimum maintenance strategy in textile industry. Journal of Quality in Maintenance Engineering, 14(4), 375–386. doi:10.1108/13552510810909975
  • Tolga, E., Demircan, M. L. ve Kahraman, C. (2005). Operating system selection using fuzzy replacement analysis and analytic hierarchy process. International Journal of Production Economics, 97(1), 89–117. doi:10.1016/J.IJPE.2004.07.001
  • Wang, L., Chu, J. ve Wu, J. (2007). Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. International Journal of Production Economics, 107(1), 151–163. doi:10.1016/j.ijpe.2006.08.005
  • Xie, H., Shi, L. ve Xu, H. (2013). Transformer Maintenance Policies Selection Based on an Improved Fuzzy Analytic Hierarchy Process. Journal of Computers, 8(5), 1343–1350. doi:10.4304/jcp.8.5.1343-1350
Toplam 47 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Mühendislik
Bölüm Makaleler
Yazarlar

Tolga Gedikli 0000-0002-0558-2439

Beyzanur Çayır Ervural 0000-0002-0861-052X

Durrmuş Tayyar Şen 0000-0001-9632-0102

Yayımlanma Tarihi 31 Ocak 2021
Yayımlandığı Sayı Yıl 2021 Sayı: 22

Kaynak Göster

APA Gedikli, T., Çayır Ervural, B., & Şen, D. T. (2021). Bulanık TOPSIS ve Bulanık AHP Yaklaşımlarıyla En Uygun Bakım Stratejisinin Belirlenmesi: Bir Gıda İşletmesinde Uygulama. Avrupa Bilim Ve Teknoloji Dergisi(22), 212-225. https://doi.org/10.31590/ejosat.838168