Selection of non-conventional machining processes using the OCRA method

Abstract

Selection of the most suitable nonconventional machining process (NCMP) for a given machining application can be viewed as multi-criteria decision making (MCDM) problem with many conflicting and diverse criteria. To aid these selection processes, different MCDM methods have been proposed. This paper introduces the use of an almost unexplored MCDM method, i.e. operational competitiveness ratings analysis (OCRA) method for solving the NCMP selection problems. Applicability, suitability and computational procedure of OCRA method have been demonstrated while solving three case studies dealing with selection of the most suitable NCMP. In each case study the obtained rankings were compared with those derived by the past researchers using different MCDM methods. The results obtained using the OCRA method have good correlation with those derived by the past researchers which validate the usefulness of this method while solving complex NCMP selection problems.

Determination of Manufacturing Process Conditions by Using MCDM Methods: Application in Laser Cutting

“…calculation procedure is not affected by the introduction of any additional parameters such in the case of the WASPAS method. More details about the OCRA method, computational procedure and application examples are given in (Madic et al, 2015b).…”

“…In this context, the application of multicriteria decision making (MCDM) methods is essential for optimization of the overall performance of resources' utilization and means to work in the development, design, production and all other activities (Rao, 2007). The selection of manufacturing technology, machine tools, manufacturing process conditions, cutting tools, material selection for tool holder, machining coolant and lubrication agents, maintenance policy selection, evaluation of environmentally conscious manufacturing practices, flexible management support and so on, are only some of the examples that require the application of different MCDM methods in real and laboratory conditions (Karsak & Ahiska, 2008;Chan & Prakash, 2012;Ic et al, 2012;Hasan Aghdaie et al, 2013;Calışkan et al, 2013;Chatterjee & Chakraborty, 2013;Gadakh et al, 2013;Temucin et al, 2013;Thirumalai & Senthilkumaar, 2013;Chakraborty & Zavadskas, 2014;Govindan et al, 2014;Hajdasz, 2014;Petkovic et al, 2015).…”

Analysis of the efficiency of financial institutions in Serbia based on the OCRA method

“…[1]. Osnovna ideja OCRA metode je da izvrši nezavisnu evaluaciju alternative u odnosu na benifitne i troškovne kriterijume i da, na kraju, kombinuje dve agregatne ocene kako bi se dobila konkurentna ocena, što pomaže donosiocu odluka da ne izgubi informacije tokom procesa odlučivanja [10]. Procedura poboljšane OCRA metode je sledeća [17,1,9,19 ]:…”

Implemententasi Metode Rank Order Cendroid (ROC) dan Operational Competitiveness Rating Analysis (OCRA) dalam Penilaian Kinerja Dosen Komputer Menerapkan (Studi Kasus: STMIK Budi Darma)

“…Ocra adalah teknik pengukuran efisiensi non-parametrik dan pertama kali diusulkan untuk menyelesaikan kinerja masalah pengukuran dan analisis produktivitas [11]. Proses kerja dari metode metode Operational Competitiveness Rating Analysis(OCRA) memiliki beberapa tahapan [12], [13], yaitu: a. Pembentukan matriks keputusan X. Di baris keputusan matriks alternatif ditempatkan, dan di kolom kriteria ditempatkan.…”