Open Access

Multi Criteria Decision Making Model for Logistics Processes in Particular Enterprise

   | Mar 28, 2019

Cite

Aláč, P., 2005. Viackriteriálne rozhodovanie v logistickom reťazci drevárskeho podniku. PhD thesis. TU vo Zvolene, Drevárska fakulta, 137 p. Search in Google Scholar

Balmat, J., Lafont, F., Maifret, R., Pessel, N., 2011. A decision-making system to maritime risk assessment. Ocean Engineering, 38(1), 171-176. Search in Google Scholar

Canbolat, Y., Chelst, K., Garg, N., 2007. Combining decision tree and MAUT for selecting a country for a global manufacturing facility. Omega, 35(3), 312-325. Search in Google Scholar

Chen, Y., Okudan, G., Riley, D., 2010. Decision support for construction method selection in concrete buildings: Prefabrication adoption and optimization. Automation in Construction, 19(6), 665-675. Search in Google Scholar

Fishburn, P., 1967. Conjoint measurement in utility theory with incomplete product sets. Journal of Mathematical Psychology, 4(1), 104-119. Search in Google Scholar

Fitzgerald, L., Johnston, R., Brignall, T. J., Silvestro, R., Voss, C., 1991. Performance measurement in service businesses. Chartered Institute of Management Accountants, London, UK. Search in Google Scholar

Flint, D., J., Larsson, E., Gammelgaard, B., Mentzer, J.T., 2005. Logistic Innovation: A customer value-oriented social process. Journal of Business Logistics, 26(1), 113–147, DOI: 10.1002/j.2158-1592.2005.tb00196.x, ISSN 0735-3766. Search in Google Scholar

Gibson, B.J., Mentzer, J.T., Cook, R.L., 2005. Supply Chain Management: The Pursuit of a Consensus Definition. Journal of Business Logistics, 26, 17–25, DOI: 10.1002/j.2158-1592.2005.tb00203.x. Search in Google Scholar

Gomez-Limon, J., Arriaza, M., Riesgo, L., 2003. An MCDM analysis of agricultural risk aversion. European Journal of Operational Research, 151(3), 569-585. Search in Google Scholar

Jeetendra, V. A., Krishnaiah Chetty, O. V., Prashanth Reddy, J., 2000. Petri nets for project management and resource levelling. The International Journal of Advanced Manufacturing Technology, 16(7), 516-520. Search in Google Scholar

Kahneman, D., 2012. Myšlení rychlé a pomalé. Jan Melvil publishing Brno, s.r.o., ISBN 978-80-87270-42-4, 542 p. Search in Google Scholar

Kanji, G.K., 2002. Performance measurement system. Total Quality Management, 13(5), 715–728. Search in Google Scholar

Kaplan, R., S., Norton, D.P, 1996. The balanced scorecard: Translating strategy into action. Harvard Business School Press, Boston, MA. Search in Google Scholar

Keegan, D.P., Eiler, R.G., Jones, C.R., 1989. Are your performance measures obsolete? Management Accounting, 70(12), 45–50. Search in Google Scholar

Keeney, R., 1977. The art of assessing multiattribute utility functions. Organizational Behavior and Human Performance, 19(2), 267-310. Search in Google Scholar

Kennerley, M., Neely, A. D., 2000. Performance measurement framework -A review. In Performance measurement-Past, present and future. Proceedings of the 2nd international conference on performance measurement. Cambridge, UK, 19–21 July. Search in Google Scholar

Khadam, I., Kaluarachchi, J., 2003. Multi-criteria decision analysis with probabilistic risk assessment for the management of contaminated ground water. Environmental Impact Assessment Review, 23(6), 683-721. Search in Google Scholar

Konidari, P., Mavrakis, D., 2007. A multi-criteria evaluation method for climate change mitigation policy instruments. Energy Policy, 35(12), 6235-6257. Search in Google Scholar

Lakehal, A., Tachi, F., 2018. Probabilistic Assessment of Road Risks for Improving Logistics Processes. MATEC Web of Conferences 183, 01003, DOI: 10.1051/matecconf/201818301003. Search in Google Scholar

Langevin, A., Riopel, D., 2005. Logistics Systems – Design and Optimization. Springer, ISBN 0-387-24971-0, 387. Search in Google Scholar

Liu, R., Kumara A., Van der Aalst, W., 2007. A formal modelling approach for supply chain event management. Decision Support Systems 43, 761-778. Search in Google Scholar

Loken, E., 2007. Use of multi-criteria decision analysis methods for energy planning problems. Renewable and Sustainable Energy Reviews, 11(7), 1584-1595. Search in Google Scholar

MacBryde, J., Radnor, Z., Shepherd, C., Günter, H., 2006. Measuring supply chain performance: current research and future directions. International Journal of Productivity and Performance Management, 55(3/4), 242-258, ISSN: 1741-0401. Search in Google Scholar

Neely, A., 2002. Business performance measurement. Cambridge University Press, Cambridge, MA. Search in Google Scholar

Saaty, T., 1980. The analytic hierarchy process: Planning, priority setting, resource allocation. McGraw-Hill, New York. Search in Google Scholar

Song, C., Hong, Z., 2008. Time scorecard: an integrative performance measurement framework for time-based companies. In 4th International conference on wireless communications, networking and mobile computing (pp. 1–5). Dalian, China, 12–14, October. Search in Google Scholar

Zadeh, L., 1965. Fuzzy sets. Information and Control, 8(3), 338-353. Search in Google Scholar

Zhang, X., Lu, Q., Wu, T., 2011. Petri-net based applications for supply chain management: an overview. International. Journal of Production Research, 49(13), 3939-3961. Search in Google Scholar