Abstract
The article presents issue of survival of simulated supply chains. Authors focus on aspects of durability of supply chain as non-renewable systems. In order to study a survival of objects in supply chain, the simulation model was built. This model includes coordination aspects. By carrying out experiments for a hypothetical supply chain system, the cohort table was developed. Based on experiments was defined: (1) the assessment of the probability of termination of cooperation in the defined interval of time, (2) the estimated function of the simulated objects and (3) the assessment of the hazard function.
References
Rodewald, J., Colombi, J., Oyama, K., Johnson A.: Methodology for simulation and analysis of complex adaptive supply network structure and dynamics using information theory. Entropy 18 (2016). doi:10.3390/e18100367
Grzybowska, K.: Supply chain sustainability—analysing the enablers. In: Golinska, P., Romano, C.A. (eds.) Environmental Issues in Supply Chain Management—New Trends and Applications, pp. 25–40. Springer, Berlin (2012). doi:10.1007/978-3-642-23562-7_2
Sitek, P.: A hybrid approach to the two-echelon capacitated vehicle routing problem (2E-CVRP). Adv. Intell. Syst. Comput. 267, 251–263 (2014). doi:10.1007/978-3-319-05353-0_25
Kujawińska, A., Vogt, K., Wachowiak, F.: Ergonomics as significant factor of sustainable production. In: Golińska, P., Kawa, A. (eds.) Technology Management for Sustainable Production and Logistics.Book Series: EcoProduction, pp. 193–203. Springer, Berlin (2015). doi:10.1007/978-3-642-33935-6_10
Kawecka-Endler, A., Mrugalska, B.: Humanization of work and environmental protection in activity of enterprise. In: Kurosu, M. (ed.) Human-Computer Interaction, Part III, HCII 2014. LNCS 8512, pp. 700–709. Springer, Berlin (2014)
Zwolińska, B.: Use of the method VSM to the identify Muda. Res. Logist. Prod. 6(6), 513–522 (2016). doi:10.21008/j.2083-4950.2016.6.6.3
Rudawska, A., Čuboňova, N., Pomarańska, K., Stanečková, D., Gola, A.: Technical and organizational improvements of packaging production processes. Adv. Sci. Technol. Res. J. 10(30), 182–192 (2016). doi:10.12913/22998624/62513
Nowakowski, T.: Niezawodność systemów logistycznych. Oficyna wydawnicza politechniki wrocławskiej, Wrocław (2011)
Relich, M.: Case-based reasoning for selecting a new product portfolio. In: Knowledge for Market Use, pp. 410–421 (2016)
Burduk A.: An attempt to adapt serial reliability structures for the needs of analyses and assessments of the risk in production systems. Eksploatacja i Niezawodność – Maintenance and Reliability, No. 3, pp. 85–96 (2010)
Xing, L., Dugan, J.B.: Analysis of generalized phased mission system reliability, performance and sensitivity. IEEE Trans. Reliab. 51, 199–211 (2002)
Majdzik, P., Akielaszek-Witczak, A., Seybold, L., Stetter, R., Mrugalska, B.: A fault-tolerant approach to the control of a battery assembly system. Control Eng. Pract. 55, 139–148 (2016)
Jasiulewicz-Kaczmarek, M.: Practical aspects of the application of RCM to select optimal maintenance policy of the production line. In: Nowakowski, T., et al. (eds.) Safety and Reliability: Methodology and Applications—Proceedings of the European Safety and Reliability Conference, ESREL 2014, pp. 1187–1195. Taylor & Francis Group, London (2015)
Kawa, A.: Simulation of dynamic supply chain configuration based on software agents and graph theory. In: Omatu, S., et al. (eds.) Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. Lecture Notes in Computer Science, vol. 5518, pp. 346–349. Springer, Berlin (2009)
Hayes-Roth, B.: An architecture for adaptive intelligent systems. Artif. Intell. 72(1–2), 3 (1995)
Kawa, A., Pawlewski, P., Golinska, P., Hajdul, M.: Cooperative purchasing of logistics services among manufacturing companies based on semantic web and multi-agent system. In: Demazeau, Y., et al. (eds.) Trends in Practical Applications of Agents and Multiagent Systems, pp. 249–256. Springer, Berlin (2010)
Macha, E.: Niezawodność maszyn. Politechnika Opolska, Opole (2001)
Agi, M.A.N., Nishant, R.: Understanding influential factors on implementing green supply chain management practices: an interpretive structural modelling analysis. J. Environ. Manag. 188, 351–363 (2017)
Sobaszek, L., Gola, A.: Survival analysis method as a tool for predicting machine failures. Actual Problems Econ. 3(177), 421–428 (2016)
Jacyna, M.: Modelowanie i ocena systemów transportowych. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa (2009)
Wiendahl, H.-H., Cieminski, G.-V., Begemann, C.: A systematic approach for ensuring the logistic process reliability of supply chains. Ann. CIRP 52(1), 375–380 (2003)
Balicki, A.: Analiza przeżycia i tablice wymieralności. PWE, Warszawa (2006)
Grzybowska, K., Kovács, G.: Logistics process modelling in supply chain—algorithm of coordination in the supply chain—contracting. Adv. Intell. Syst. Comput. 299, 311–320 (2014)
Grzybowska, K., Hoffa, P.: Approving with application of an electronic bulletin board, as a mechanism of coordination of actions in complex systems. In: Omatu, S., et al. (eds.) Distributed Computing and Artificial Intelligence, vol. 373, pp. 357–365. Springer, Cham (2015). doi:10.1007/978-3-319-19638-1_41
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Grzybowska, K., Hoffa-Dąbrowska, P. (2018). Durability of Supply Chains as Non-renewable Systems. In: Burduk, A., Mazurkiewicz, D. (eds) Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017. ISPEM 2017. Advances in Intelligent Systems and Computing, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-64465-3_23
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