Performance assessment of milk processing system using Petri nets

Springer Science and Business Media LLC - Tập 2 - Trang 1-12 - 2020
Narendra Kumar1, P. C. Tewari1, Anish Sachdeva2
1Department of Mechanical Engineering, National Institute of Technology, Kurukshetra, India
2Department of Industrial and Production Engineering, Dr. B.R Ambedkar National Institute of Technology, Jalandhar, India

Tóm tắt

The study presents the quantitative effect of the recorded failure and repair data on the performance of a liquid milk processing plant in terms of its availability and reduced capacity. Process modeling and behavioral analysis of the system has been carried out by dividing the system into four subsystems placed in series using Petri Nets approach. A licensed software package (named Petri module of GRIF) has been used for model formalism and its simulation. The results of this study are expected to be useful to the proprietors of the milk processing plant as well as for practitioners from other fields such as multiprocessor electronic systems, telecommunication systems and production systems among others who want to analyze, understand and predict the behavior of various types of equipments. Reliability, Availability, and Maintainability modeling tools described here can be of helpful to them in planning selective maintenance strategies for their systems.

Tài liệu tham khảo

Gupta N, Saini M, Kumar A (2020) Operational availability analysis of generators in steam turbine power plants. SN Appl Sci 2:779. https://doi.org/10.1007/s42452-020-2520-y

Singh J, Garg S (2005) Availability analysis of core veneer manufacturing system in the plywood industry. In: International conference on reliability and safety engineering, Indian Institute of Technology, Kharagpur, pp 497–508

Sachdeva A, Kumar D, Kumar P (2008) Reliability analysis of the pulping system using Petri nets. Int J Qual Reliab Manag 25(8):860–877. https://doi.org/10.1108/02656710810898667

Kumar N, Tewari PC, Sachdeva A (2019) Performance modeling and analysis of refrigeration system of a milk processing plant using Petri nets. Int J Perform Eng 15(7):1751–1759. https://doi.org/10.23940/ijpe.19.07.p1.17511759

Ferreira C, Canhoto Neves L, Silva A, de Brito J (2018) Stochastic Petri net-based modeling of the durability of renderings. Autom Constr 87:96–105. https://doi.org/10.1016/j.autcon.2017.12.007

Trivedi KS, Logothetis PDA (1995) From stochastic Petri nets to Markov regenerative stochastic petri nets. IEEE Xplore. https://doi.org/10.1109/MASCOT.1995.378688

Feldmann K, Colombo AW (1998) Material flow and control sequence specification of flexible production systems using coloured Petri nets. Int J Adv Manuf Technol 14:760. https://doi.org/10.1007/BF01438228

Desrochers AA, Al-Jaar RY (1995) Applications of Petri nets in manufacturing systems. IEEE Press, New York

Brauer W, Reisig W and Rozrnberg G (1987) Advances in PN ,Part I Petri nets: central models and their properties, In: Proceedings of advanced course, Bad Honnef,Germany. Lecture notes in computer science, vol.254. Springer-Verlag, Berlin.

Brauer W, Reisig W and Rozrnberg G (1987) Advances in PN, Part II Petri nets: applications and relationships to other models of concurrency. In: Proceedings of advanced course, Bad Honnef, Germany. Lecture notes in computer science, vol.255. Springer-Verlag, Berlin