PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Multi-state approach to food packaging material quality and consumption safety analysis

Treść / Zawartość
Identyfikatory
Warianty tytułu
Konferencja
16th Summer Safety & Reliability Seminars - SSARS 2022, 4-11 September 2022, Ciechocinek, Poland
Języki publikacji
EN
Abstrakty
EN
The food packaging material and its quality assessment based on permeability, tensile strength, swelling, transmittance, and biofilm formation are discussed in this chapter. The semi-Markov model of food packaging material quality change process is introduced and its characteristics are determined. Next, the safety and resilience indicators are proposed for multi-state analysis, identification, prediction and optimization of packaged food product consumption safety.
Bibliografia
  • Bogalecka, M. 2020. Consequences of Maritime Critical Infrastructure Accidents. Environmental Impacts. Modeling - Identification - Prediction - Optimization - Mitigation. Elsevier, Amsterdam - Oxford - Cambridge.
  • Dąbrowska, E. 2020. Monte Carlo simulation approach to reliability analysis of complex systems. Journal of KONBiN 50(1), 155-170.
  • Dąbrowska, E. & Soszyńska-Budny, J. 2018. Monte Carlo simulation forecasting of maritime ferry safety and resilience. Proceedings of2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Institute of Electrical and Electronics Engineers, Bangkok, 376-380.
  • Drieskens, M., Peeters, R., Mullens, J., Franco, D., Lemstra, P.J. & Hristova‐Bogaerds, D.G. 2009. Structure versus properties relationship of poly (lactic acid). I. Effect of crystallinity on barrier properties. Journal of Polymer Science Part B: Polymer Physics 47(22), 2247-2258.
  • Fotopoulou, K.N. & Karapanagioti, H.K. 2017. Degradation of various plastics in the environment. Hazardous Chemicals Associated with Plastics in the Marine Environment. Springer, 71-92.
  • Garrido-López, Á. & Tena, M. 2010. Study of multilayer packaging delamination mechanisms using different surface analysis techniques. Applied Surface Science 256(12), 3799-3805.
  • Gouldby, B.P., Schultz, M.T., Simm, J.D. & Wibowo, J.L. 2010. Beyond the Factor of Safety: Developing Fragility Curves to Characterize System Reliability, Report in Water Resources Infrastructure Program ERDC SR-10-1, U.S. Army Corps of Engineers, Washington.
  • Grabski, F. 2015. Semi-Markov Processes: Applications in System Reliability and Maintenance. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Sydney - Tokyo.
  • Iosifescu, M. 1980. Finite Markov Processes and Their Applications. John Wiley & Sons, Ltd, New York.
  • Kołowrocki, K. 2004. Reliability of Large Systems. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
  • Kołowrocki, K. 2014. Reliability of Large and Complex Systems. Elsevier, Amsterdam - Boston - Heidelberg - London - New York - Oxford - Paris - San Diego - San Francisco - Singapore - Sydney - Tokyo.
  • Kołowrocki, K. 2021. Safety analysis of critical infrastructure impacted by operation and climate-weather changes - theoretical backgrounds. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2021. Gdynia Maritime University, Gdynia, 139-180.
  • Kołowrocki, K. & Magryta, B. 2020. Port oil terminal reliability optimization. Scientific Journals of Maritime University of Szczecin 62(134), 161-167.
  • Kołowrocki, K.& Soszyńska-Budny, J. 2011. Reliability and Safety of Complex Technical Systems and Processes: Modeling - Identification - Prediction - Optimization. Springer, London - Dordrecht - Heidelberg - New York.
  • Korolyuk, V.S., Brodi, S.M.& Turbin, A.F. 1975. Semi-Markov processes and their applications. Journal of Soviet Mathematics 4(3), 244-280.
  • Lev’y, P. 1954. Proceesus semi-markoviens. Proceedings of International Congress of Mathematicians, Amsterdam, 416-426.
  • Limnios, N. & Oprisan, G. 2001. Semi-Markov Processes and Reliability. Birkhauser, Boston.
  • Magryta-Mut, B. 2020. Safety optimization of maritime ferry technical system. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2020. Gdynia Maritime University, Gdynia, 175-182.
  • Rhim, J.-W., Lee, J.H., & Ng, P.K. 2007. Mechanical and barrier properties of biodegradable soy protein isolate-based films coated with polylactic acid. LWT - Food Science and Technology 40(2), 232–238.
  • Torbicki, M. & Raith D. 2021. Safety of critical infrastructure exposed to operation and weather condition changes. K. Kołowrocki et al. (Eds.). Safety and Reliability of Systems and Processes, Summer Safety and Reliability Seminar 2021. Gdynia Maritime University, Gdynia, 339-350.
  • Smith, W.L. 1955. Regenerative stochastic processes. Proceedings of the Royal Society, Ser. A 232, 631.
  • Steinka, I., Morawska, M., Rutkowska, M., & Kukułowicz, A. 2006. The influence of biological factors on properties of some traditional and new polymers used for fermented food packaging. Journal of Food Engineering 77(4), 771-775.
  • Xue, J. 1985. On multi-state system analysis. IEEE Transactions on Reliability 34, 329-337.
  • Xue J. & Yang, K. 1995a. Dynamic reliability analysis of coherent multi-state systems. IEEE Transactions on Reliability 4(44), 683-688.
  • Xue J. & Yang, K. 1995b. Symmetric relations in multi-state systems. IEEE Transactions on Reliability 4(44), 689-693.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-b87e88c4-c767-4c6b-98c7-23d11c5448dc
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.