Abstract
Configuration of the order is related to the determination of the range of goods (raw materials) and their size. Using a policy of continuous suppllies and constant periods, we are dealing with a simplified analysis, but also often far from optimal supplies efficiency [10]. By using the monitoring, we can get closer to the optimal solutions. Monitoring should be supported by a simple expert system, usually based on the inference mechanism, which is the set of rules [15]. All of these have to take into account the limitations and all the additional costs. These costs are related to, inter alia, the storage, transportation, giving out storage, capital binding, insurance, etc. It is difficult to consider them separately and also difficult to aggregate them in the same way. Grouping together costs, according to the specificity of merger costs (delivery, order, the manner of storage, etc.) we can observe the typical management and inventory planning policy operations [8]. Specific features of such policy can be described as both deterministic and linguistic. Methodical apparatus for analysis of similar data is proposed in rough set theory of Pawlak and the theory of Dampster Shaffer [15]. These theories give the possibility to reduce the rules and simplify the inference method on decision-making under conditions of dynamic changes in the data structure.In the paper rough set theory of Pawlak is being used.
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References
Baumgarten, H.: Logistik-Management. Technische Universitaet Berlin 12 (2004)
Blackstock, T.: Keynote Speech, International Association of Food Industry Suppliers, San Francisco, CA (March 11, 2005), Gattorna, J.: Supply Chains Are the Business. Supply Chain Management Review 10(6), 42–49 (2005)
Chen, I.J., Paulraj, A., Lado, A.: Strategic purchasing, supply management, and firm performance. Journal of Operations Management 22(5), 505–523 (2004)
Christopher, M.: Logistics and Supply Chain Management, p. 288. Pearson, UK (2013)
Douglas, M.L.: Supply Chain Management: Processes. Supply Chain Management Institute, Sarasota (2008)
Fawcett, S.E., Ellram, L.M., Ogden, J.A.: Supply chain management; from vision to implementation, p. 520. Pearson (2014)
Douglas, M., Lambert, S.J., Garca-Dastugue, K.L.: Croxton, An evaluation of process-oriented supply chain management frameworks. Journal of Business Logistics 26(1), 25–51 (2005)
Lambert, D.M.: Supply Chain Management: Processes, Partnerships, Performance. Supply Chain Management Institute, Sarasota (2008)
Gattorna, J.: Supply Chains Are the Business. Supply Chain Management Review 10(6), 42–49 (2006)
Hugos, M.H.: Essentials of Supply Chain Management, p. 288. John Wiley and Sons (2011)
Pawlak, Z., Sugeno, M.: Decision Rules Bayes, Rule and Rough, New Decisions in Rough Sets. Springer, Berlin (1999)
Simchi-Levy, D., Kaminski, P., Simchi-Levy, E.: Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies. Irwin/McGraw Hill, Boston (2000)
Simchi-Levi, D., Xin, C., Bramel, J.: The Logic of Logistics: Theory, Algorithms, and Applications for Logistics Management. Springer Science and Business Media, 467 (2013)
Straka, M., Malindzak, D.: Distribution logistics. Express Publicity, Kosice (2008)
Tadeusiewicz, R.: Place and role of Intelligence Systems in Computer Science. Computer Methodsin Material Science 10(4), 193–206 (2010)
Wisner, J.D., Keong Leong, G., Tan, K.-C.: Keah-Choon Tan, Supply Chain Management: A Balanced Approach. Thomson South-Western, Mason (2004)
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Ptak, A., Piech, H., Zhou, N. (2015). The Setup Method of the Order with the Help of the Rough Sets Convention. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_44
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DOI: https://doi.org/10.1007/978-3-319-19369-4_44
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