MALZEME TAŞIMA SİSTEMİ ALTERNATİFLERİNİN DEĞERLENDİRİLMESİNDE BULANIK-PROMETHEE YAKLAŞIMI

Year 2011, Volume: 12 Issue: 1, 144 - 155, 01.01.2011

Gülfem Tuzkaya Doğan Özgen Bahadır Gülsün

Abstract

Malzeme taşıma sistemlerinin doğru seçimi, üretim ortamının toplam verimliliği üzerinde önemli etkilere sahiptir. Bu önemli etki göz önüne alındığında, malzeme taşıma sistemi seçimi problemi için sistematik bir yaklaşım geliştirilmesi gerekliliği de görülmektedir. Bu çalışmada, söz konusu problem için, çok kriterli karar verme tekniklerinden biri olan PROMETHEE yaklaşımından faydalanılmıştır. Değerlendirme sürecindeki belirsizlikler ve karar vericilerden değerlendirmelerini sözel olarak almanın kolaylığı nedeniyle bulanık kümelerden faydalanılması uygun görülmüştür. Bu anlamda PROMETHEE’in bulanık sayıların kullanıldığı bir şekli tanıtılmıştır. Kullanılan metodolojinin daha net anlaşılabilmesi ve kullanışlılığının örneklenmesi için üretim sektöründen bir firmanın ambar bölümü için gerçek bir uygulama yapılmıştır.

Keywords

Malzeme Taşıma Sistemleri, Alternatif Değerlendirme, Çok Kriterli Karar Verme, PROMETHEE, Bulanık Kümeler

EVALUATING MATERIAL HANDLING SYSTEM ALTERNATIVES USING FUZZY-PROMETHEE APPROACH

Abstract

Material handling system selection process has an important effect on productivity of manufacturing systems. Considering the importance of this process, it can be seen that there is a necessity to establish a systematic approach. In this study, to determine the best material handling system alternative, PROMETHEE approach is utilized. With the aim of taking into account the vagueness in the evaluation process and obtaining decision maker evaluations in an easier way with linguistic terms, fuzzy sets are utilized. To this end, a modified version of PROMETHEE is used. To foster the better understanding of the methodology, a real life application of a manufacturer is realized

Keywords

Material Handling Systems, Alternative Evaluation, Multi-Criteria Decision Making, PROMETHEE, Fuzzy Sets

References

• ARAZ, C., OZFIRAT, P.M., OZKARAHAN, I., (2007). An integrated multicriteria decision- making methodology for outsourcing management, Computers & Operations Research, 34, 3738-3756, ss.
• AYAĞ, Z., ÖZDEMİR, R.G. (2006). A fuzzy AHP approach to evaluating machine tools alternatives. Journal of Intelligent Manufacturing, 17, 179-190.ss.
• BELTON, V. STEWART, T.J. (2002). Multiple Criteria Decision Analysis. Dordrecht: Kluwer Academic Publishers.
• BİLSEL, R.U., BÜYÜKÖZKAN, G., RUAN, D. (2006). A fuzzy preference-ranking model for a quality evaluation of hospital web sites. International Journal of Intelligent Systems, 21, 1181-1197.ss.
• BRANS, J.P., MARESCHAL, B. (2008). 5. Chapter, PROMETHEE Methods, “Multi criteria decision analysis” ders notları.
• BRANS, J.P., MARESCHAL, B., P.VINCKE, P. (1984). PROMETHEE: A new family of outranking methods in MCDM. Operational Research, North-Holland, Amsterdam, (84) 477-490.ss
• CHAKRABORTY, S., BANIK, D. (2006). Design of a material handling equipment selection model using analytic hierarchy process. Intelligent Journal of Advanced Manufacturing Technologies, 28, 1237-1245.ss.
• CHEN, F.T.S., IP, R.W.L., LAU, H. (2001). Integration of expert system with analytic hierarchy process for the design of material handling equipment selection system. Journal of Materials Processing Technology, 116, 137-145.ss.
• CHOU, W.C., LIN, W.T., LIN, C.Y., (2007). Application of fuzzy theory and PROMETHEE technique to evaluate suitable ecotechnology method: A case study in Shihmen Reservoir Watershed, Taiwan, Ecological Engineering, 31, 169-280,ss.
• DAĞDEVİREN, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19, 397-406.ss.
• GELDERMANN, J., SPENGLER, T., R, O., (2000). Fuzzy outranking for environmental assessment. Case study: iron and steel making industry, Fuzzy Sets and Systems, 115, 45- 65.ss.
• GELDERMANN, J., SPENGLER, T., RENTZ, O. (2000). Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy Sets and Systems, 115, 45-65.ss.
• GOUMAS, M., LYGEROU, V., (2000). An extension of the PROMETHEE method for decision making in fuzzy environment: Ranking of alternative energy exploitation projects, European Journal of Operational Research, 123, 606-613.ss.
• KULAK, O. (2005). A decision support system for fuzzy multi-attribute selection of material handling equipments. Expert Systems with Applications, 29, 310-319.ss.
• LUONG, L.H.S. (1998). A decision support system for the selection of computer-integrated manufacturing technologies. Robotics and Computer-Integrated Manufacturing, 14, 45- 53.ss.
• PARK, Y. (1996). ICMESE: intelligent consultant system for material handling equipment selection and evaluation. Journal of Manufacturing Systems, 15 (5), 325-333.ss.
• SULE, D.R. (1994). Manufacturing facilities: location, planning and design (2nd ed.). Boston: PWS Publishing Company.
• TABUCANON, M.T., BATANOV, D.N., VERMA, D.K. (1994). Decision support system for multicriteria machine selection for flexible manufacturing systems. Computers in Industry, 25, 131-143.ss.
• TUZKAYA, U.R. (2009). Evaluating the environmental effects of transportation modes using an integrated methodology and an application. International Journal of Environmental Science and Technology, 6 (2), 277-290.ss.
• ÜLENGİN, F., TOPÇU Y.İ., ŞAHİN, Ş.Ö. (2001). An integrated decision aid system for Bosporus water-crossing problem. European Journal of Operational Research, 134, 179- 192.ss.
• VEGO, G., KUCAR-DRAGICEVIC, S., KOPRIVANAC, N. (2008). Application of multi- criteria decision-making on strategic municipal solid waste management in Dalmatia, Croatia. Waste management, 28, 2192-2201.ss
• YAGER, R.R. (1981). A procedure for ordering fuzzy subsets of the unit interval. Information Sciences, 24, 143-161.ss.
• YURDAKUL, M., İPEK, A.Ö. (2005). Malzeme taşıma sistemlerinin seçilmesine yönelik bir karar destek sistemi geliştirilmesi. Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi, 20 (2), 171-181.ss.
• ZADEH, L.A.(1965). Fuzzy Sets. Information and Control, 8(3), 338-353.ss.