A Unified Measure to Assess Universally Industrial Products for Ecological Balancing

Abstract:

Recent literature shows that most safety-related standards are not yet finalized as long as they seem far from assessing a sought level of safety. In addition, the shortened and hasty assessment of the industrial safety depends solely on what directly endangers mankind security and its economic assets. Moreover, well-known quality standards have not yet established a well-defined code to formulate the safety and liability area of the product quality. Owing to the safety-related weak points mentioned above, the present paper puts forth a unified and applicable mathematical model. Moreover, this paper confirms that humanity's engineering willingness of a prospective industrial product (vehicle) along with its manufacturing plants has not to overlook crucial safety instructions for a multi-entity Environmental Closed System (ECS). The suggested environment-related approach is here checked using three commonly applied methods, namely, SPC, FMEA, and Markov Chains of industrial safety estimation for products /plants. Main findings of the present paper conclude that industrial (product/ plant) safety, in its broadened sense, does embrace the gain/loss statistical data of a product's introductory versions and represents a trade–off function of its profits (resource renovation) and its losses (resources drain). In addition, the comprehensive resource-loss trend helps product designers and concerned researchers meet a wide range of customer requirements and more operational regulations.

• Periodical: Applied Mechanics and Materials (Volumes 789-790)
• Pages: 1306-1310
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.789-790.1306
• Online since: September 2015
• Authors: M.R. Ramadan*
• Keywords: Effect Analysis (FMEA), Environmental Closed System (ECS), Failure Modes, Markov Chains, Statistical Process Control (SPC)

References

[1] Paivi Hamalainen, Jukka Takala, Kaija Leena Saarela, Global estimates of occupational accidents, Safety Science, Vol. 44, Issue2, February, 2006, p.137–156.

DOI: 10.1016/j.ssci.2005.08.017

[2] Quality management systems – Requirements, ISO/TC 176/SC 2 N 786-1, International Organization for Standardization (ISO), (2008).

[3] J.L. Rouvroye, E.G. Van den Bliek, Comparing Safety Analysis Techniques, Reliability Engineering and System Safety V75, 2002, pp.289-294.

DOI: 10.1016/s0951-8320(01)00116-8

[4] OHSAS 18001 Occupational health and safety management systems- Requirements standard, (2007).

[5] Carlos Dora, and Margaret Phillips, Transport, environment, and health, World Health Organization, Regional Publications, European series, No 89, Copenhagen, (2000).

[6] U.S. Agency for International Development, Vehicle inspection and maintenance programs: International experience and best practices, Washington, October (2004).

[7] World Health Organization, World report on road traffic injury prevention: summary, Geneva, (2004).

[8] Friedhelm Nachreiner, Peter Nickel, Inga Meyer, Human factors in process systems: The design of human–machine interfaces, Safety Science vol. 44, 2006, p.5–26.

DOI: 10.1016/j.ssci.2005.09.003

[9] X. cuny and M. Lejeune, Statistical modeling and risk assessment, Safety Science, Vol. 41, Issue 1, Feb. 2003, p.29–51.