EVALUATION of MACHINE SELECTION CRITERIA with MACBETH METHOD in A GINNERY FACTORY

Yıl 2020, Sayı: 37, 26 - 37, 31.08.2020

Aşkın Özdağoğlu Kevser Yılmaz Murat Kemal Keleş

Öz

Selecting proper machine is very crucial and challenging decision making process for managers due to the effects on both quality and lead time of production. Cotton have been used in wide variety of industries as raw or semi-processed materials through centuries. Like the other machine selection problems, selecting accurate gin machine is crucial when to consider the effects of the gin machine on quality of cotton and fiber value. This paper proposes a multi-criteria decision analysis (MCDA) to evaluate criteria to selecting gin machine. This study was conducted at a ginnery factory within Aydın region. MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique) which is a multi-criteria evaluation approach was used to evaluate four criteria based on non-numerically value judgements of managers. This study aims to analyze the importance levels of criteria with MACBETH method.

Anahtar Kelimeler

Production Management, , MACBETH Method, , Machine Selection

Kaynakça

• ABDEL-KADER, M. G. (1997). Investment Decisions in Advanced Manufacturing Systems: A Review and Identification of Research Area. In P. Atrill and L. Lindley (Eds.), Issues in accounting and Finance (pp. 189–216).
• ANTHONY, W. S. (1996). Impact of Cotton Gin Machinery Sequences on Fiber Value and Quality. Applied Engineering in Agriculture, 12(3), 351-363. doi: 10.13031/2013.25659.
• ANTHONY, W. S. and MAYFIELD, W. D. (1994). Cotton Ginners Handbook (No. 503). DIANE Publishing.
• BALTAZAR, M. E., JARDIM, J., ALVES, P. and SILVA, J. (2014). Air Transport Performance and Efficiency: MCDA vs. DEA Approaches. Procedia-Social and Behavioral Sciences, 111, 790-799. doi: 10.1016/j.sbspro.2014.01.113.
• BALTAZAR, M. E., ROSA, T. and SILVA, J. (2018). Global Decision Support for Airport Performance and Efficiency Assessment. Journal of Air Transport Management. 71, 220-242. https://doi.org/10.1016/j.jairtraman.2018.04.009.
• BANA E COSTA, C. A. and VANSNICK, J.C. (1994). MACBETH-An Interactive Path Towards The Construction of Cardinal Value Functions. International Transactions in Operational Research 1(4), 489–500. https://doi.org/10.1016/0969-6016(94)90010-8.
• BANA E COSTA, C. A., CARNERO, M. C. and OLİVEİRA, M. D. (2012). A Multi-Criteria Model for Auditing a Predictive Maintenance Programme. European Journal of Operational Research, 217(2), 381-393. https://doi.org/10.1016/j.ejor.2011.09.019.
• BANA E COSTA, C. A. and OLIVEIRA, M. D. (2012). A Multicriteria Decision Analysis Model for Faculty Evaluation. Omega, 40(4), 424-436. https://doi.org/10.1016/j.omega.2011.08.006.
• BRAUERS W.K.M. and ZAVADSKAS E.K. (2009). Robustness of The Multi-Objective MOORA Method with a Test for The Facilities Sector. Technological and Economic Development of Economy, 15(2), 352–375. https://doi.org/10.3846/1392-8619.2009.15.352-375.
• BURGAZOĞLU, H. (Bölüm Yazarı). (2015). Operasyonel, Yönetsel ve Stratejik Problemlerin Çözümünde Çok Kriterli Karar Verme Yöntemleri. (Editörler: Yıldırım, Bahadır Fatih ve Önder Emrah). Dora Yayıncılık. Bursa.
• CABELLO, J. M., RUIZ, F., PÉREZ-GLADISH, B. and MÉNDEZ-RODRÍGUEZ, P. (2014). Synthetic Indicators of Mutual Funds’ Environmental Responsibility: An Application of The Reference Point Method. European Journal of Operational Research, 236(1), 313-325. https://doi.org/10.1016/j.ejor.2013.11.031.
• CARNERO, M. C. and GÓMEZ, A. (2017). Maintenance Strategy Selection in Electric Power Distribution Systems. Energy, 129, 255-272. https://doi.org/10.1016/j.energy.2017.04.100.
• CHEN, I. J. and SMALL, M. H. (1996). Planning for Advanced Manufacturing Technology: A Research Framework. International Journal of Operations and Production Management, 16(5), 4-24.
• FARIA, P. A., FERREIRA, F. A., JALALI, M. S., BENTO, P. and ANTÓNIO, N. J. (2018). Combining Cognitive Mapping and MCDA for Improving Quality of Life in Urban Areas. Cities, 78, 116-127. https://doi.org/10.1016/j.cities.2018.02.006.
• GÜRBÜZ, T., ALPTEKİN, S. E. and ALPTEKİN, G. I. (2012). A Hybrid MCDM Methodology for ERP Selection Problem with Interacting Criteria. Decision Support Systems, 54(1), 206-214. https://doi.org/10.1016/j.dss.2012.05.006.
• JUNIOR, A. G. M., JUNIOR, M. M. C., BELDERRAIN, M. C. N., CORREIA, A. R. and SCHWANZ, S. H. (2012). Multicriteria and Multivariate Analysis for Port Performance Evaluation. International Journal of Production Economics, 140(1), 450-456. https://doi.org/10.1016/j.ijpe.2012.06.028.
• KAPLAN, R. S. (1986). Must CIM be Justified by Faith Alone? (pp. 87-95). Boston: Graduate School of Business Administration, Harvard University.
• KIM, G., PARK, C. S. and YOON, K. P. (1997). Identifying Investment Opportunities for Advanced Manufacturing Systems with Comparative-Integrated Performance Measurement. International Journal of Production Economics, 50(1), 23-33. https://doi.org/10.1016/S0925-5273(97)00014-5.
• LAURAS, M., MARQUES, G. and GOURC, D. (2010). Towards a Multi-Dimensional Project Performance Measurement System. Decision Support Systems, 48(2), 342-353. https://doi.org/10.1016/j.dss.2009.09.002.
• LEWIS, C.F., and RICHMOND, T.R. (1968). Cotton as a Crop. In Advances in Production and Utilization of Quality Cotton: Principles and Practises. Iowa State University Press, Ames, IA, 2-21.
• MONTIGNAC, F., NOIROT, I., and CHAUDOURNE, S. (2009). Multi-Criteria Evaluation of on-Board Hydrogen Storage Technologies Using The MACBETH Approach. International Journal of Hydrogen Energy, 34(10), 4561-4568. https://doi.org/10.1016/j.ijhydene.2008.09.098.
• ROUBENS, M., RUSINOWSKA, A., and DE SWART, H. (2006). Using MACBETH to Determine Utilities of Governments to Parties in Coalition Formation. European Journal of Operational Research, 172(2), 588-603. https://doi.org/10.1016/j.ejor.2004.10.017.
• ROY, B. (1996). Multicriteria Methodology for Decision Aiding, Kluwer Academic Publishers.
• SAATY, T.L. (1990). How to Make a Decision – The Analytic Hierarchy Process. European Journal of Operational Research 48 (1), 9–26.
• SAMAN, A., Murat, G., and Rifat, S. (2013). Safety Risk Assessment Using Analytic Hierarchy Process (AHP) During Planning and Budgeting of Construction Projects. Journal of Safety Research 46, 99–105. https://doi.org/10.1016/j.jsr.2013.05.003.
• STANUJKIC, D. (2016). An Extension of The Ratio System Approach of MOORA Method for Group Decision-Making Based on Interval-Valued Triangular Fuzzy Numbers. Technological and Economic Development of Economy, 22(1), 122- 141. doi:10.3846/20294913.2015.1070771.
• THOKALA, P., DEVLIN, N., MARSH, K., BALTUSSEN, R., BOYSEN, M., KALO, Z., LONGRENN, T., MUSSEN, F., PEACOCK, S., WATKINS, J. and IJZERMAN, M. (2016). Multiple Criteria Decision Analysis for Health Care Decision Making—An İntroduction: Report 1 of The ISPOR MCDA Emerging Good Practices Task Force. Value in health, 19(1), 1-13. https://doi.org/10.1016/j.jval.2015.12.003.
• TÜİK (2019, February). Bitkisel Üretim İstatistikleri. Retrieved From: https://biruni.tuik.gov.tr/medas/?kn=92andlocale=tr (Access: 01.02.2019)