nach oben

Global Journal of Flexible Systems Management

Erschienen in:

01.09.2013 | Original Article

Ranking of Flexibility in Flexible Manufacturing System by Using a Combined Multiple Attribute Decision Making Method

verfasst von: Vineet Jain, Tilak Raj

Erschienen in: Global Journal of Flexible Systems Management | Ausgabe 3/2013

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

The flexibility in manufacturing system is required so it is called flexible manufacturing system (FMS), but in FMS, there is different flexibility, which is incorporated. So, in manufacturing system which flexibility has more impact and which is less impact in FMS is decided by combined multiple attribute decision making method, which are analytic hierarchy process (AHP), technique for order preference by similarity to ideal situation, and improved preference ranking organization method for enrichment evaluations. The criteria weights are calculated by using the AHP. Furthermore, the method uses fuzzy logic to convert the qualitative attributes into the quantitative attributes. In this paper, a multiple attribute decision making method is structured to solve this problem and concluded that production flexibility has the most impact, and programme flexibility has the least impact in FMS based on factors, which affect the flexibility in FMS by using combined multiple attribute decision making method.

Vorheriger Artikel Does Continuous Change Imply Continuity?

Nächster Artikel Factors Affecting Customer Loyalty in Cloud Computing: A Customer Defection-Centric View to Develop a Void-in-Customer Loyalty Amplification Model

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Azzone, G., & Bertele, U. (1989). Measuring the economic effectiveness of flexible automation: a new approach. The International Journal of Production Research, 27(5), 735–746.CrossRef

Baas, S. M., & Kwakernaak, H. (1977). Rating and ranking of multiple-aspect alternatives using fuzzy sets. Automatica, 13(1), 47–58.CrossRef

Bakhoum, E. S., & Brown, D. C. (2012). A hybrid approach using AHP–TOPSIS–entropy methods for sustainable ranking of structural materials. International Journal of Sustainable Engineering, 1–13. doi:10.1080/19397038.2012.719553.

Bayazit, O. (2005). Use of AHP in decision-making for flexible manufacturing systems. Journal of Manufacturing Technology Management, 16(7), 808–819.CrossRef

Baykasoğlu, A., Kaplanoğlu, V., Durmuşoğlu, Z. D. U., & Şahin, C. (2013). Integrating fuzzy DEMATEL and fuzzy hierarchical TOPSIS methods for truck selection. Expert Systems with Applications, 40(3), 899–907.CrossRef

Belassi, W., & Fadlalla, A. (1998). An integrative framework for FMS diffusion. Omega, 26(6), 699–713.CrossRef

Bellman, R. E., & Zadeh, L. A. (1970). Decision-making in a fuzzy environment. Management Science, 17(4), 141–164.CrossRef

Brans, J. P., Mareschal, B., & Vincke, P. (1984). PROMETHEE: A new family of outranking methods in multicriteria analysis. Proceedings of Operational Research, 84, 477–490.

Browne, J., Dubois, D., Rathmill, K., Sethi, S. P., & Stecke, K. E. (1984). Classification of flexible manufacturing systems. The FMS Magazine, 2(2), 114–117.

Chang, F. T. S. (1999). Evaluations of operational control rules in scheduling a flexible manufacturing system. Robotics and Computer-Integrated Manufacturing, 15(2), 121–132.CrossRef

Chauhan, A., & Vaish, R. (2013). Hard coating material selection using multi-criteria decision making. Materials and Design, 44, 240–245.CrossRef

Chen, I. J., & Chung, C. H. (1996). An examination of flexibility measurements and performance of flexible manufacturing systems. International Journal of Production Research, 34(2), 379–394.CrossRef

Chen, J. H., & Ho, S. Y. (2005). A novel approach to production planning of flexible manufacturing systems using an efficient multi-objective genetic algorithm. International Journal of Machine Tools and Manufacture, 45(7), 949–957.CrossRef

Chen, S. J., & Hwang, C. L. (1992). Fuzzy multiple factor decision making—methods and applications. Lecture Notes in Economics and Mathematical Systems. Berlin: Springer-Verlag.

Dai, J. B., & Lee, N. K. (2012). Economic feasibility analysis of flexible material handling systems: A case study in the apparel industry. International Journal of Production Economics, 136(1), 28–36.CrossRef

Daim, T. U., Bhatla, A., & Mansour, M. (2012). Site selection for a data center—a multi-criteria decision-making model. International Journal of Sustainable Engineering, 6(1), 10–22.CrossRef

Das, S. K. (1996). The measurement of flexibility in manufacturing systems. International Journal of Flexible Manufacturing Systems, 8(1), 67–93.CrossRef

Groover, M. P. (2006). Automation, production system and computer integrated manufacturing (2nd ed., Chap. 16). New Delhi: Prentice-Hall.

Gultekin, H. (2012). Scheduling in flowshops with flexible operations: Throughput optimization and benefits of flexibility. International Journal of Production Economics, 140(2), 900–911.CrossRef

Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making. Methods and applications: A state-of-the-art survey. New York: Springer-Verlag.CrossRef

İç, Y. T. (2012). An experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies. Robotics and Computer-Integrated Manufacturing, 28(2), 245–256.CrossRef

Jahan, A., Bahraminasab, M., & Edwards, K. L. (2012). A target-based normalization technique for materials selection. Materials and Design, 35, 647–654.CrossRef

Kaighobadi, M., & Venkatesh, K. (1994). Flexible manufacturing systems: An overview. International Journal of Operations & Production Management, 14(4), 26–49.CrossRef

Kalbar, P. P., Karmakar, S., & Asolekar, S. R. (2012). Selection of an appropriate wastewater treatment technology: A scenario-based multiple-attribute decision-making approach. Journal of Environmental Management, 113, 158–169.CrossRef

Keong, O. C., Ahmad, M. M., Sulaiman, N. I. S., & Ismail, M. Y. (2005). Proposing a non-traditional ordering methodology in achieving optimal flexibility with minimal inventory risk. Asia Pacific Journal of Marketing and Logistics, 17(2), 31–43.CrossRef

Koren, Y., Heisel, U., Jovane, F., Moriwaki, T., Pritschow, G., Ulsoy, G., et al. (1999). Reconfigurable manufacturing systems. CIRP Annals-Manufacturing Technology, 48(2), 527–540.CrossRef

Lavasani, S. M. M., Wang, J., Yang, Z., & Finlay, J. (2012). Application of MADM in a fuzzy environment for selecting the best barrier for offshore wells. Expert Systems with Applications, 39(3), 2466–2478.CrossRef

Marinoni, O. (2005). A stochastic spatial decision support system based on PROMETHEE. International Journal of Geographical Information Science, 19(1), 51–68.CrossRef

Olhager, J. (1993). Manufacturing flexibility and profitability. International Journal of Production Economics, 30, 67–78.CrossRef

Park, C. S., & Son, Y. K. (1988). An economic evaluation model for advanced manufacturing systems. The Engineering Economist, 34(1), 1–26.CrossRef

Pei, Z., & Zheng, L. (2012). A novel approach to multi-attribute decision making based on intuitionistic fuzzy sets. Expert Systems with Applications, 39(3), 2560–2566.CrossRef

Primrose, P. L. (1996). Do companies need to measure their production flexibility? International Journal of Operations & Production Management, 16(6), 4–11.CrossRef

Raj, T., Attri, R., & Jain, V. (2012). Modelling the factors affecting flexibility in FMS. International Journal of Industrial and Systems Engineering, 11(4), 350–374.CrossRef

Rao, R. V. (2007). Decision making in the manufacturing environment: Using graph theory and fuzzy multiple attribute decision making methods. London: Springer.

Rao, R. V., & Patel, B. K. (2010). Decision making in the manufacturing environment using an improved PROMETHEE method. International Journal of Production Research, 48(16), 4665–4682.CrossRef

Saaty, T. L. (1980). Analytic hierarchy process. New York: McGraw Hill Publications.

Saaty, T. L. (2000). Fundamentals of decision making and priority theory with AHP. Pittsburg, PA: RWS Publications.

Saaty, T. L., & Tran, L. T. (2007). On the invalidity of fuzzifying numerical judgments in the analytic hierarchy process. Mathematical and Computer Modelling, 46(7), 962–975.CrossRef

Sethi, A. K., & Sethi, S. P. (1990). Flexibility in manufacturing: A survey. International Journal of Flexible Manufacturing Systems, 2(4), 289–328.CrossRef

Shewchuk, J. P., & Moodie, C. L. (1998). Definition and classification of manufacturing flexibility types and measures. International Journal of Flexible Manufacturing Systems, 10(4), 325–349.CrossRef

Son, Y. K., & Park, C. S. (1990). Quantifying opportunity costs associated with adding manufacturing flexibility. The International Journal of Production Research, 28(6), 1183–1194.CrossRef

Stecke, K. E. (1983). Formulation and solution of nonlinear integer production planning problems for flexible manufacturing systems. Management Science, 29(3), 273–288.CrossRef

Stecke, K. E., Dubois, D., Sethi, S. P., & Rathmill, K. (1983).Classification of flexible manufacturing systems: Evolution towards the automated factory (No. 363). Working paper.

Stockton, D., & Bateman, N. (1995). Measuring the production range flexibility of a FMS. Integrated Manufacturing Systems, 6(2), 27–34.CrossRef

Sujono, S., & Lashkari, R. S. (2007). A multi-objective model of operation allocation and material handling system selection in FMS design. International Journal of Production Economics, 105(1), 116–133.CrossRef

Xu, Y., Merigó, J. M., & Wang, H. (2012). Linguistic power aggregation operators and their application to multiple attribute group decision making. Applied Mathematical Modelling, 36(11), 5427–5444.CrossRef

Yager, R., & Basson, D. (1975). Decision making with fuzzy sets. Decision Sciences, 6(3), 590–600.CrossRef

Titel: Ranking of Flexibility in Flexible Manufacturing System by Using a Combined Multiple Attribute Decision Making Method
verfasst von: Vineet Jain
Tilak Raj
Publikationsdatum: 01.09.2013
Verlag: Springer India
Erschienen in: Global Journal of Flexible Systems Management / Ausgabe 3/2013
Print ISSN: 0972-2696
Elektronische ISSN: 0974-0198
DOI: https://doi.org/10.1007/s40171-013-0038-5

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Weitere Artikel der Ausgabe 3/2013

Supply Chain Flexibility: A Frame Work of Research Dimensions

Frozen Corn Manufacturing and Its Supply Chain: Case Study Using SAP–LAP Approach

Factors Affecting Customer Loyalty in Cloud Computing: A Customer Defection-Centric View to Develop a Void-in-Customer Loyalty Amplification Model

Does Continuous Change Imply Continuity?