LATHE SELECTION USING ANALYTIC HIERARCHY PROCESS AND INFORMATION AXIOM
Abstract
Selection of appropriate equipment, place, or employee is a problem that needs consideration by industry, as capacities develop and efficiencies become more valued over the recent decades. Several decision-making techniques have been developed and applied to many different areas to evaluate their reliability. This study focuses on the application of a hybrid decision-making technique of Analytic Hierarchy Process and Information Axiom to solve the problem of lathe selection. Results show that appropriate machine tools can easily be selected within a short time using this approach.References
Alias, M. A., Hashim, S. Z. M., & Samsudin, S. (2008). Multi criteria decision making and its applications: a literature review. Jurnal Teknologi Maklumat, 20(2),129-152.
Athawale, V. M., & Chakraborty, S. (2010). A TOPSIS method-based approach to machine tool selection, presented at International Conference on Industrial Engineering and Operations Management, Dhaka, Bangladesh, 2010.
Ayağ, Z., & Özdemir, R. G. (2006). A fuzzy AHP approach to evaluating machine tool alternatives. Journal of Intelligent Manufacturing, 17, 179-190. doi: 10.1007/s10845-005-6635-1
Çimren, E., Budak, E., & Çatay, B. (2004). Development of a machine tool selection systems using analytic hierarchy process, presented at 4th CIRP International Seminar on Intelligent Computation in Manufacturing Engineering, Sorrento, Italy, 2004.
Dağdeviren, M. (2008). Decision making in equipment selection: an integrated approach with AHP and PROMETHEE. Journal of Intelligent Manufacturing, 19, 397-406. doi: 10.1007/s10845-008-0091-7
Dura´n, O., & Aguilo, J. (2008). Computer-aided machine-tool selection based on a Fuzzy-AHP approach. Expert Systems with Applications, 34, 1787-1794. doi: 10.1016/j.eswa.2007.01.046
Guan, X., Wang, Y., & Tao, L. (2009). Machining scheme selection of digital manufacturing based on genetic algorithm and AHP. Journal of Intelligent Manufacturing, 20, 661-669. doi: 10.1007/s10845-008-0155-8
Kar, A. K. (2000). Linking Axiomatic Design and Taguchi Methods via Information Content in Design, presented at First International Conference on Axiomatic Design, Cambridge, USA, 2000.
Kentli, A., & Ucak, G. (2011). AHP Applications on Machine Selection Problems, presented at 1st International Symposium and 10th Balkan Conference on Operational Research, Thessaloniki, Greece, 2011.
Kentli, A., & Akbaş, S. (2011). Machine Tool Selection Based on AHP Integrated with Information Axiom, presented at 1st International Symposium and 10th Balkan Conference on Operational Research, Thessaloniki, Greece, 2011.
Önüt, S., Kara, S. S., & Efendigil, T. (2008). A hybrid fuzzy MCDM approach to machine tool selection. Journal of Intelligent Manufacturing, 19, 443-453. doi: 10.1007/s10845-008-0095-3
Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. New York: McGraw-Hill.
Tarcan, E. (2005). Evaluation of sub-component alternatives in a product design (MSc Thesis). Retrieved from https://tez.yok.gov.tr/UlusalTezMerkezi/TezGoster?key=7d53ed97e31a8bd353d20ca3991cc9a57174c8b5f621bc8c5dcdc9383c6eb3f68a307ca8ed57d73b.
Tsai, J. P., Cheng, H. Y., Wang, S. Y., & Kao, Y. C. (2010). Multi-Criteria Decision Making Method for Selection of Machine Tool, presented at IEEE international symposium on computer communication control and automation (3CA), Tainan, China, 2010. doi: 10.1109/3CA.2010.5533376
Yurdakul, M. (2004). AHP as strategic decision making tool to justify machine tool selection. Journal of Materials Processing Technology, 146, 365-376. doi: 10.1016/j.jmatprotec.2003.11.026
Copyright information
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (Creative Commons Attribution License 3.0 - CC BY 3.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
info@iseic.cz, www.iseic.cz, ojs.journals.cz