Consensus determining algorithm for supply chain management systems

• Autorzy: Hernes M. , Sobieska-Karpińska J.
• Języki publikacji: EN

Abstrakty

EN

The purpose of article is to elaborate a consensus determination algorithm in supply chain management support systems, which may lead to achieving a greater flexibility and effectiveness of such systems. Using consensus methods in resolving the conflict of knowledge, in other words, determining a variant to be then presented to the user, based on the variants proposed by the system, may lead to shortening the variant determination time and to reducing the risk of selecting the worst variant. As a consequence, supply chain management might become more dynamic, which obviously influences the effectiveness of the operation of particular organizations and the entire supply chain. The originality is using consensus method to resolve knowledge conflicts in SCM systems to help decision-maker to take decision earning satisfy benefits.

Słowa kluczowe

EN

Supply Chain Management Systems; knowledge conflicts; consensus method

PL

system zarządzania łańcuchem dostaw; konflikt wiedzy; metoda konsensusu

• Wydawca: Wydawnictwo Szkoły Głównej Gospodarstwa Wiejskiego w Warszawie
• Czasopismo: Information Systems in Management
• Rocznik: 2014
• Tom: Vol. 3, No. 1
• Strony: 27--39
• Opis fizyczny: Bibliogr. 17 poz., rys.

Twórcy

autor

Hernes M.

• Department of Economic Informatics, Wrocław University of Economics

autor

Sobieska-Karpińska J.

• Department of Economic Communication, Wrocław University of Economics

Bibliografia

• [1] Allen, J.F. (1983) Maintaining knowledge about temporal intervals, Commun.ACM, no. 26, pp. 832-843.
• [2] Barthlemy J.P. (1992) Dictatorial consensus function on n-trees, Mathematical Social Science, nr 25 , pp. 59-64.
• [3] Christopher M. (2005) Logistics and supply chain management, creating valueadding networks, Third Edition, Financial Times Press, Paerson Education Limited.
• [4] Dyk P., Lenar M. (2006) Applying negotiation methods to resolve conflicts in multiagent environments, Zgrzywa A. (ed.), Multimedia and Network Information systems, MISSI 2006, Oficyna Wydawnicza PWr, Wrocław, pp. 259-268.
• [5] Dyreson C.E., Soo M., Snodgrass R.T., (1995) The data model for time, Snodgrass R.T. (ed.), The SQL Temporal Query Language, Kluwer Academic Publish, Hingham M.A.,p.p. 327-346.
• [6] Hernes M., Nguyen N.T. (2007) Deriving Consensus for Hierarchical Incomplete Ordered Partitions and Coverings, Journal of Universal Computer Science 13(2)/2007, pp. 317-328.
• [7] Hernes M., Nguyen N.T. (2004) Deriving Consensus for Incomplete Ordered Partitions, Nguyen N.T. (ed.), Intelligent Technologies for Inconsistent Knowledge Processing, Advanced Knowledge International, Australia , pp. 39-56.
• [8] Lu D. (2011) Fundamentals of supply chain management, Dr. Dawei Lu & Ventus Publishing ApS, bookboon.com.
• [9] Nguyen N.T. (2006) Using Consensus Methodology in Processing Inconsistency of Knowledge, Last M. et al. (Ed.), Advances in Web Intelligence and Data Mining, series Studies in Computational Intelligence, Springer-Verlag, pp. 161-170.
• [10] Podobnik V., Petric A., Jezic G (2008), An Agent-Based Solution for Dynamic Supply Chain Management, Journal of Universal Computer Science, vol. 14, no. 7, pp. 1080- 1104.
• [11] Rutkowski K. (2010) Best Practices in Logistics and Supply Chain Management. The Case of Central and Eastern Europe, Waters D. (ed.), Global Logistics and Distribution Planning, Kogan Page, London, pp. 14-30.
• [12] Sitek P., Wikarek J. (2012) Cost optimization of supply chain with multimodal transport, Proceedings of the Federated Conference on Computer Science and Information Systems, http://fedcsis.org/proceedings/fedcsis2012/pliks/182.pdf., pp. 1111- 1118.
• [13] Siurdyban A., Møller C. (2012) Towards Intelligent Supply Chains: A Unified Framework for Business Process Design, International Journal of Information Systems and Supply Chain Management, No 5/2013, IGI Global, IGI Global, Hershey, New York, pp. 1-19.
• [14] Sobieska-Karpińska J., Hernes M. (2010) Value of information i distributed decision support system, Pańkowska M. (ed.), Infonomics for Distributed Business and Decision-Making Environments: Creating Information System Ecology. IGI Global, Hershey, New York, pp. 153-176.
• [15] Sobieska-Karpińska J., Hernes M. (2012) Consensus determining algorithm in multiagent decision support system with taking into consideration improving agent’s knowledge, Proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS), pp. 1035-1040.
• [16] Sobieska-Karpińska J., Hernes M. (2012) Using consensus methods in knowledge conflicts resolving in supply chain management support systems, Information Systems in Management, vol 1, no. 2, pp. 160-167.
• [17] Sobieska-Karpińska J., Hernes M. (2013) Distance functions between structure of variants in consensus determining process in supply chain management systems, in: Dziechciarz J. (ed.), Econometrics , Wrocław University of Economics Press, Wrocław (in Press).