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Bir Süt Ürünleri Fabrikasinda Bulanik AHS ile Makine Seçimi

Year 2017, Volume: 24 Issue: 2, 295 - 308, 18.08.2017

Aşkin Özdağoğlu , Sezai Bahar Enis Yakut

https://doi.org/10.18657/yonveek.335222
Cited By: 2

Abstract

Makine seçimi pek çok kuruluş için önemli bir karar verme sürecidir. Makine seçim kararlarının olumsuz sonuçlarını azaltmak için bu satın alma süreci çok dikkatli bir biçimde ele alınmalıdır. Yeni makinelerin seçimi ileri düzeyde bilgi ve uzmanlık gerektiren çok karmaşık bir süreçtir. Küçük bir hata mühendisler, yöneticiler ve makine imalatçıları için çeşitli sorunlara yol açabilir. Bu çalışmada, Ege Bölgesindeki bir süt ürünleri fabrikasında makine satın alma süreci araştırılmıştır. Çalışmada ilk olarak makine seçiminin şirketler açısından stratejik önemine değinilmiştir. Daha sonra çok kriterli karar verme yöntemlerinden biri olan Bulanık Analitik Hiyerarşi Süreci teorik olarak incelenmiştir. Literatür taraması kısmında ise Bulanık Analitik Hiyerarşi Süreci farklı sektörlerdeki kullanımları ile karşılaştırılarak verilmiştir. Çalışmanın uygulama kısmında ise fabrikanın üretim sürecinde kullanmak için krema ayırma makinesi satın alma aşamasında Bulanık Analitik Hiyerarşi Süreci yöntemi kullanılarak tedarikçiler arasında sıralama yapılmıştır.

Keywords

Fuzzy AHP Cream Separator Machine Selection

References

  • Amiri, Morteza Pakdin.(2010). Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Systems with Applications. 37 (9), 6218–6224. doi:10.1016/j.eswa.2010.02.103
  • Aydogan, Emel Kızılkaya. (2011). Performance measurement model for Turkish aviation firms using the rough-AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications. 38. 3992–3998. doi:10.1016/j.eswa.2010.09.060
  • Bouyssou, D. Marchant, T. Pirlot, M. Perny, P. Tsoukias, A. Vincke, P. (2000). Evaluation Models: A Critical Perspective. Kluwer, Boston. doi: 10.1007/978-1-4615-1593-7
  • Bulut, Emrah. Duru, Okan. Kocak, Gazi. (2015). Rotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem. Applied Mathematical Modelling. 39. 913–923. doi:10.1016/j.apm.2014.07.018
  • Buyukozkan, Gulcin. Cifci, Gizem. (2012). A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry. Expert Systems with Applications. 39. 2341–2354. doi:10.1016/j.eswa.2011.08.061
  • Buyukozkan, Gulcin. Cifci, Gizem. Guleryuz, Sezin. (2011). Strategic analysis of healthcare service quality using fuzzy AHP methodology. Expert Systems with Applications. 38. 9407–9424. doi:10.1016/j.eswa.2011.01.103
  • Chang, D.-Y. (1992). Extent Analysis and Synthetic Decision, Optimization Techniques and Applications, World Scientific, Singapore, Vol: 1. p. 352. doi:10.1016/0377-2217(95)00300-2
  • Chang, Da-Yong. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research. 95. 649-655. doi:10.1016/0377-2217(95)00300-2
  • Choua, Ying-Chyi. Sun, Chia-Chi. Yen, Hsin-Yi. (2012). Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach. Applied Soft Computing. 12. 64–71. doi:10.1016/j.asoc.2011.08.058
  • Deng, Xinyang. Hu, Yong. Deng, Yong. Mahadevan, Sankaran. (2014). Supplier selection using AHP methodology extended by D numbers. Expert Systems with Applications. 41. 156–167. doi:10.1016/j.eswa.2013.07.018
  • Durán, Orlando. (2011). Computer-aided maintenance management systems selection based on a fuzzy AHP Approach. Advances in Engineering Software. 42. 821–829. doi:10.1016/j.advengsoft.2011.05.023
  • Eroğlu, Hasan. (2014). Coğrafi Bilgi Sistemleri (CBS) ve Bulanık Analitik Hiyerarşi Metodu (FAHP) Kullanılarak Rüzgar Santralleri için En Uygun Yer Tayini.
  • Eleco 2014 Elektrik – Elektronik – Bilgisayar ve Biyomedikal Mühendisliği Sempozyumu. 50-55. 27 – 29 Kasım 2014. Bursa.
  • Ishizaka, Alessio. Nguyen, Nam Hoang. (2013). Calibrated fuzzy AHP for current bank account selection. Expert Systems with Applications. 40. 3775–3783. doi:10.1016/j.eswa.2012.12.089
  • Javanbarg, Mohammad Bagher. Scawthorn, Charles. Kiyono, Junji. Shahbodaghkhan, Babak. (2012). Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization. Expert Systems with Applications. 39. 960–966. doi:10.1016/j.eswa.2011.07.095
  • Junior, Francisco Rodrigues Lima. Osiro, Lauro. Carpinetti, Luiz Cesar Ribeiro. (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
  • Kahraman, Cengiz. Cebeci, Ufuk. Da Ruan. (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
  • Kilincci, Ozcan. Onal, Suzan Aslı. (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Applications. 38. 9656–9664. doi:10.1016/j.eswa.2011.01.159
  • Kulak, Osman. Kahraman, Cengiz. (2005). Fuzzy Multi-AttributeSelection Among Transportation Companies Using Axiomatic Design And Analytic Hierarchy Process. Information Sciences. 170 (2-4). 191-210. doi:10.1016/j.ins.2004.02.021
  • Mandic, Ksenija. Delibasic, Boris. Knezevic, Snezana. Benkovic, Sladjana. (2014). Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods. Economic Modelling. 43. 30–37. doi:10.1016/j.econmod.2014.07.036
  • Nepal, Bimal. Yadav, Om P. Murat, Alper. (2010). A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development. Expert Systems with Applications. 37. 6775–6786. doi:10.1016/j.eswa.2010.03.048
  • Özyörük, B., & Özcan, E. C. (2008). Analitik hiyerarşi sürecinin tedarikçi seçiminde uygulanması: Otomotiv sektöründen bir örnek. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(1). http://dergipark.ulakbim.gov.tr/sduiibfd/article/download/5000122576/5000112880.
  • Pires, Ana. Chang, Ni-Bin. Martinho, Gracia. (2011). An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Setubal Peninsula, Portugal. Resources, Conservation and Recycling. 56. 7–21. doi:10.1016/j.resconrec.2011.08.004
  • Rajput, Harish C. Milani,Abbas S. Labun, Andrew. (2011). Including time dependency and ANOVA in decision-making using the revised fuzzy AHP: A case study on wafer fabrication process selection. Applied Soft Computing. 11. 5099–5109. doi:10.1016/j.asoc.2011.05.049
  • Rezaei, Jafar. Fahim, Patrick B.M. Tavasszy, Lori. (2014). Supplier selection in the airline retail industry using a funnel methodology: Conjunctive screening method and fuzzy AHP. Expert Systems with Applications. 41 (18), 8165–8179. doi:10.1016/j.eswa.2014.07.005
  • Shi, Lei. Shuai, Jian. Xu, Kui. (2014). Fuzzy fault tree assessment based on improved AHP for fire and explosion accidents for steel oil storage tanks. Journal of Hazardous Materials. 278. 529–538. doi: 10.1016/j.jhazmat.2014.06.034
  • Somsuk, Nisakorn. Laosirihongthong, Tritos. (2014). A fuzzy AHP to prioritize enabling factors for strategic management of university business incubators:
  • Resource-based view. Technological Forecasting & Social Change. 85. 198–210. doi:10.1016/j.techfore.2013.08.007
  • Tolga, Ethem. Demircan, Murat Levent. Kahraman, Cengiz. (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, Jianrong. Fan, Kai. Wang, Wanshan. (2010). Integration of fuzzy AHP and FPP with TOPSIS methodology for aeroengine health assessment. Expert Systems with Applications. 37. 8516–8526. doi:10.1016/j.eswa.2010.05.024
  • Wang, Xiaojun. Chan, Hing Kai. Yee, Rachel W. Y. Diaz-Rainey, Ivan. (2012). A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain. Int. J. Production Economics. 135. 595–606. doi:10.1016/j.ijpe.2011.03.021
  • Yazdani-Chamzini, Abdolreza. Yakhchali, Siamak Haji. (2012). Tunnel Boring Machine (TBM) selection using fuzzy multicriteria decision making methods.
  • Tunnelling and Underground Space Technology. 30. 194–204. doi:10.1016/j.tust.2012.02.021
  • Zheng, Guozhong. Zhu, Neng. Tian, Zhe. Chen, Ying. Sun, Binhui. (2012). Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments. Safety Science. 50. 228–239. doi:10.1016/j.ssci.2011.08.042
  • Zhu, Ke-Jun. Jing, Yu. Chang, Da-Yong. (1999). A Discussion on Extent Analysis Method and Applications of Fuzzy-AHP. European Journal of Operational Research. 116, 450-456. doi: 10.1016/S0377-2217(98)00331-2

Machine Selection with Fuzzy AHP in a Dairy Factory

Year 2017, Volume: 24 Issue: 2, 295 - 308, 18.08.2017

Aşkin Özdağoğlu , Sezai Bahar Enis Yakut

https://doi.org/10.18657/yonveek.335222
Cited By: 2

Abstract

A machine selection is an important decision-making process for many corporations. To decrease the negative outcomes of machine choosing decisions, this buying process should be managed carefully. The selection of new machines is a very complex process requiring advanced knowledge and experience. A small mistake may lead to several problems for the engineers, managers and for the machine manufacturers. In this study, the machine buying process of a dairy factory in Aegean Region has been investigated. Firstly, in the study, it is discussed the importance of machine selection in terms of company success strategically. Then, Fuzzy Analytic Hierarchy Process (AHP), which is one of the multi-criteria decision-making methods, is analysed theoretically. In the literature review part, Fuzzy Analytic Hierarchy Process (AHP) applications are given by comparing in different sectors. In the application part, by using Fuzzy Analytic Hierarchy Process (AHP) method, it is ranked among the vendors for the factory’s purchasing process of a Cream Separator in order to use in the production process.

Keywords

Fuzzy AHP Cream Separator Machine Selection

References

  • Amiri, Morteza Pakdin.(2010). Project selection for oil-fields development by using the AHP and fuzzy TOPSIS methods. Expert Systems with Applications. 37 (9), 6218–6224. doi:10.1016/j.eswa.2010.02.103
  • Aydogan, Emel Kızılkaya. (2011). Performance measurement model for Turkish aviation firms using the rough-AHP and TOPSIS methods under fuzzy environment. Expert Systems with Applications. 38. 3992–3998. doi:10.1016/j.eswa.2010.09.060
  • Bouyssou, D. Marchant, T. Pirlot, M. Perny, P. Tsoukias, A. Vincke, P. (2000). Evaluation Models: A Critical Perspective. Kluwer, Boston. doi: 10.1007/978-1-4615-1593-7
  • Bulut, Emrah. Duru, Okan. Kocak, Gazi. (2015). Rotational priority investigation in fuzzy analytic hierarchy process design: An empirical study on the marine engine selection problem. Applied Mathematical Modelling. 39. 913–923. doi:10.1016/j.apm.2014.07.018
  • Buyukozkan, Gulcin. Cifci, Gizem. (2012). A combined fuzzy AHP and fuzzy TOPSIS based strategic analysis of electronic service quality in healthcare industry. Expert Systems with Applications. 39. 2341–2354. doi:10.1016/j.eswa.2011.08.061
  • Buyukozkan, Gulcin. Cifci, Gizem. Guleryuz, Sezin. (2011). Strategic analysis of healthcare service quality using fuzzy AHP methodology. Expert Systems with Applications. 38. 9407–9424. doi:10.1016/j.eswa.2011.01.103
  • Chang, D.-Y. (1992). Extent Analysis and Synthetic Decision, Optimization Techniques and Applications, World Scientific, Singapore, Vol: 1. p. 352. doi:10.1016/0377-2217(95)00300-2
  • Chang, Da-Yong. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research. 95. 649-655. doi:10.1016/0377-2217(95)00300-2
  • Choua, Ying-Chyi. Sun, Chia-Chi. Yen, Hsin-Yi. (2012). Evaluating the criteria for human resource for science and technology (HRST) based on an integrated fuzzy AHP and fuzzy DEMATEL approach. Applied Soft Computing. 12. 64–71. doi:10.1016/j.asoc.2011.08.058
  • Deng, Xinyang. Hu, Yong. Deng, Yong. Mahadevan, Sankaran. (2014). Supplier selection using AHP methodology extended by D numbers. Expert Systems with Applications. 41. 156–167. doi:10.1016/j.eswa.2013.07.018
  • Durán, Orlando. (2011). Computer-aided maintenance management systems selection based on a fuzzy AHP Approach. Advances in Engineering Software. 42. 821–829. doi:10.1016/j.advengsoft.2011.05.023
  • Eroğlu, Hasan. (2014). Coğrafi Bilgi Sistemleri (CBS) ve Bulanık Analitik Hiyerarşi Metodu (FAHP) Kullanılarak Rüzgar Santralleri için En Uygun Yer Tayini.
  • Eleco 2014 Elektrik – Elektronik – Bilgisayar ve Biyomedikal Mühendisliği Sempozyumu. 50-55. 27 – 29 Kasım 2014. Bursa.
  • Ishizaka, Alessio. Nguyen, Nam Hoang. (2013). Calibrated fuzzy AHP for current bank account selection. Expert Systems with Applications. 40. 3775–3783. doi:10.1016/j.eswa.2012.12.089
  • Javanbarg, Mohammad Bagher. Scawthorn, Charles. Kiyono, Junji. Shahbodaghkhan, Babak. (2012). Fuzzy AHP-based multicriteria decision making systems using particle swarm optimization. Expert Systems with Applications. 39. 960–966. doi:10.1016/j.eswa.2011.07.095
  • Junior, Francisco Rodrigues Lima. Osiro, Lauro. Carpinetti, Luiz Cesar Ribeiro. (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
  • Kahraman, Cengiz. Cebeci, Ufuk. Da Ruan. (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
  • Kilincci, Ozcan. Onal, Suzan Aslı. (2011). Fuzzy AHP approach for supplier selection in a washing machine company. Expert Systems with Applications. 38. 9656–9664. doi:10.1016/j.eswa.2011.01.159
  • Kulak, Osman. Kahraman, Cengiz. (2005). Fuzzy Multi-AttributeSelection Among Transportation Companies Using Axiomatic Design And Analytic Hierarchy Process. Information Sciences. 170 (2-4). 191-210. doi:10.1016/j.ins.2004.02.021
  • Mandic, Ksenija. Delibasic, Boris. Knezevic, Snezana. Benkovic, Sladjana. (2014). Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods. Economic Modelling. 43. 30–37. doi:10.1016/j.econmod.2014.07.036
  • Nepal, Bimal. Yadav, Om P. Murat, Alper. (2010). A fuzzy-AHP approach to prioritization of CS attributes in target planning for automotive product development. Expert Systems with Applications. 37. 6775–6786. doi:10.1016/j.eswa.2010.03.048
  • Özyörük, B., & Özcan, E. C. (2008). Analitik hiyerarşi sürecinin tedarikçi seçiminde uygulanması: Otomotiv sektöründen bir örnek. Süleyman Demirel Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 13(1). http://dergipark.ulakbim.gov.tr/sduiibfd/article/download/5000122576/5000112880.
  • Pires, Ana. Chang, Ni-Bin. Martinho, Gracia. (2011). An AHP-based fuzzy interval TOPSIS assessment for sustainable expansion of the solid waste management system in Setubal Peninsula, Portugal. Resources, Conservation and Recycling. 56. 7–21. doi:10.1016/j.resconrec.2011.08.004
  • Rajput, Harish C. Milani,Abbas S. Labun, Andrew. (2011). Including time dependency and ANOVA in decision-making using the revised fuzzy AHP: A case study on wafer fabrication process selection. Applied Soft Computing. 11. 5099–5109. doi:10.1016/j.asoc.2011.05.049
  • Rezaei, Jafar. Fahim, Patrick B.M. Tavasszy, Lori. (2014). Supplier selection in the airline retail industry using a funnel methodology: Conjunctive screening method and fuzzy AHP. Expert Systems with Applications. 41 (18), 8165–8179. doi:10.1016/j.eswa.2014.07.005
  • Shi, Lei. Shuai, Jian. Xu, Kui. (2014). Fuzzy fault tree assessment based on improved AHP for fire and explosion accidents for steel oil storage tanks. Journal of Hazardous Materials. 278. 529–538. doi: 10.1016/j.jhazmat.2014.06.034
  • Somsuk, Nisakorn. Laosirihongthong, Tritos. (2014). A fuzzy AHP to prioritize enabling factors for strategic management of university business incubators:
  • Resource-based view. Technological Forecasting & Social Change. 85. 198–210. doi:10.1016/j.techfore.2013.08.007
  • Tolga, Ethem. Demircan, Murat Levent. Kahraman, Cengiz. (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, Jianrong. Fan, Kai. Wang, Wanshan. (2010). Integration of fuzzy AHP and FPP with TOPSIS methodology for aeroengine health assessment. Expert Systems with Applications. 37. 8516–8526. doi:10.1016/j.eswa.2010.05.024
  • Wang, Xiaojun. Chan, Hing Kai. Yee, Rachel W. Y. Diaz-Rainey, Ivan. (2012). A two-stage fuzzy-AHP model for risk assessment of implementing green initiatives in the fashion supply chain. Int. J. Production Economics. 135. 595–606. doi:10.1016/j.ijpe.2011.03.021
  • Yazdani-Chamzini, Abdolreza. Yakhchali, Siamak Haji. (2012). Tunnel Boring Machine (TBM) selection using fuzzy multicriteria decision making methods.
  • Tunnelling and Underground Space Technology. 30. 194–204. doi:10.1016/j.tust.2012.02.021
  • Zheng, Guozhong. Zhu, Neng. Tian, Zhe. Chen, Ying. Sun, Binhui. (2012). Application of a trapezoidal fuzzy AHP method for work safety evaluation and early warning rating of hot and humid environments. Safety Science. 50. 228–239. doi:10.1016/j.ssci.2011.08.042
  • Zhu, Ke-Jun. Jing, Yu. Chang, Da-Yong. (1999). A Discussion on Extent Analysis Method and Applications of Fuzzy-AHP. European Journal of Operational Research. 116, 450-456. doi: 10.1016/S0377-2217(98)00331-2
There are 37 citations in total.

Details

Journal Section Articles
Authors

Aşkin Özdağoğlu

Sezai Bahar This is me

Enis Yakut

Publication Date August 18, 2017
Published in Issue Year 2017 Volume: 24 Issue: 2

Cite

APA Özdağoğlu, A., Bahar, S., & Yakut, E. (2017). Machine Selection with Fuzzy AHP in a Dairy Factory. Journal of Management and Economics, 24(2), 295-308. https://doi.org/10.18657/yonveek.335222

Cited By

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