Logistics performance and management of logistics system safety

• Autorzy: Mesjasz-Lech Agata

Identyfikatory

DOI

10.2478/czoto-2019-0093

• Konferencja: 7th International Conference System Safety: Human - Technical Facility - Environment, CzOTO 2018 (7 ; 12-14.12.2018 ; Zakopane, Poland)
• Języki publikacji: EN

Abstrakty

EN

The safety of a logistics system is understood as ensuring (to a certain level) the implementation of operational logistics processes in any entity, under specific conditions, by using favourable circumstances, taking business challenges, reducing risk, uncertainty and preventing all kinds of threats to logistics activities. The relevant determinant of the management of logistics system safety is appropriate infrastructure which enables the implementation of logistic processes and guarantees their effectiveness and efficiency. The infrastructure determines logistics performance measured by the logistics performance index (LPI). The aim of the article is to identify the logistics system safety measures in a macro approach and to determine the impact of logistic efficiency on the management of logistics system safety.

Słowa kluczowe

EN

logistics safety; management of logistics system safety; logistics performance; logistics infrastructure

PL

bezpieczeństwo logistyczne; zarządzanie bezpieczeństwem systemu logistycznego; wydajność logistyczna; infrastruktura logistyczna

• Wydawca: De Gruyter
• Czasopismo: System Safety : Human - Technical Facility - Environment
• Rocznik: 2019
• Tom: Vol. 1, nr 1
• Strony: 730--737
• Opis fizyczny: Bibliogr. 19 poz., rys., tab.

Twórcy

autor

Mesjasz-Lech Agata

• Czestochowa University of Technology, Poland

Bibliografia

• [1] Álvarez-Santos, J., Miguel-Dávila, J.- Á., Herrera, L., Nieto, M., 2018. Safety Management System in TQM environments. Safety Science 101, 135-143.
• [2] Athar, M., Shariff, A.M., Buang, A., Shaikh, M.S., See, T.L., 2019. Inherent safety for sustainable process design of process piping at the preliminary design stage. Journal of Cleaner Production 209, 1307-1318.
• [3] Farid, A., Abdel-Aty, M., Lee, J., 2019, Comparative analysis of multiple techniques for developing and transferring safety performance functions. Accident Analysis & Prevention 122, 85-98.
• [4] Ghahramani, A., Salminen, S., 2019. Evaluating effectiveness of OHSAS 18001 on safety performance in manufacturing companies in Iran. Safety Science 12, 206- 212.
• [5] Jane, CC., Laih, Y.W., 2012. Evaluating cost and reliability integrated performance of stochastic logistics system Naval Research Logistics 59, 577-586.
• [6] Guillén-Cuevas, K.J., Ozinan, E., Ortiz-Espinoza, A.P., Kazantzis, N.K., JiménezGutiérrez, A., 2018. Safety, sustainability and economic assessment in conceptual design stages for chemical processes. Computer Aided Chemical Engineering 44, 2353-2358.
• [7] Huang, L., Wu, C., Wang, B., Ouyang, Q., 2018. Big-data-driven safety decisionmaking: A conceptual framework and its influencing factors. Safety Science 109, 46-56.
• [8] Jilcha, K., Kitaw, D., 2017. Industrial occupational safety and health innovation for sustainable development. Engineering Science and Technology, an International Journal 20 (1), 372-380.
• [9] Książkiewicz, D., Mierkiewicz, D., 2012. Bezpieczeństwo we współczesnych łąńcuchach logistycznych. Zeszyty Naukowe Wydziału Ekonomicznego Uniwersytetu Gdańskiego, Ekonomika Transportu i Logistyka Nr 43, 51-60.
• [10] Li, Y., Guldenmund F.W., 2018. Safety management systems: A broad overview of the literature. Safety Science 103, 94-123.
• [11] Li, G., Zhou, Z., Hu, C., Chang, L., Zhang, H., Yu, C., 2019. An optimal safety assessment model for complex systems considering correlation and redundancy. International Journal of Approximate Reasoning 104, 38–56.
• [12] Nahangi, M., Chen, Y., McCabe, B., 2019. Safety-based efficiency evaluation of construction sites using data envelopment analysis (DEA). Safety Science 113, 382-388.
• [13] Pandit, B., Albert, A., Patil, Y., Al-Bayati, A.J., 2019. Impact of safety climate on hazard recognition and safety risk perception. Safety Science 113, 44- 53.Onyusheva, I., 2017. Analytical and Managerial Issues of Human Capital in Conditions Of Global Competitiveness: The Case of Kazakhstan. Polish J. Manag. Stud. 16, 198–209.
• [14] Raineri, M., Perri, S., Lo Bianco, C.G., 2019. Safety and efficiency management in LGV operated warehouses. Robotics and Computer-Integrated Manufacturing 57, 73-85.
• [15] Stemn, E., Bofinger, C., Cliff, D., Hassall, M.E., 2019. Examining the relationship between safety culture maturity and safety performance of the mining industry. Safety Science 113, 345-355.Szymonik, A., 2016. Wybrane uwarunkowania funkcjonowania systemów bezpieczeństwa systemów logistycznych, Zeszyty Naukowe Politechniki Śląskiej, Seria: Organizacja i Zarządzanie z. 99, 511-539.
• [16] Rashidi, K., Cullinane, K., 2019. Evaluating the sustainability of national logistics performance using Data Envelopment Analysis. Transport Policy 74, 35–46.
• [17] Wang, B., Wu, C., Huang, L., Kang, L., 2019, Using data-driven safety decisionmaking to realize smart safety management in the era of big data: A theoretical perspective on basic questions and their answers, Journal of Cleaner Production 210, 1595-1604.
• [18] www.ec.europa.eu/eurostat, consulted 15 October 2018.
• [19] www.lpi.worldbank.org/, consulted 15 October 2018.

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).