A Broadened Criterion to Assess Safety Factor of Industrial Products Design for Ecological Balancing
International Journal of Science, Technology and Society
Volume 3, Issue 1, January 2015, Pages: 1-8
Received: Dec. 8, 2014;
Accepted: Jan. 5, 2015;
Published: Jan. 12, 2015
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Mohamed Reda Ramadan Gomaa, Industrial Engineering Department, Alexandria Higher Institute for Engineering & Technology, Alexandria, Egypt
M. A. S. Mohamed, Arab Academy for Sciences and Technology, Cairo, Egypt
The problem of selecting a suitable safety factor for industrial products, and especially for a design proposal is reviewed. Products are mainly introduced to provide a certain profit or turnover in terms of resources enhancement. However, any proposed product will somehow drain natural resources whether it operates properly or erroneously. A comprehensive definition of products safety is put forth to face the numerous requirements placed on sophisticated products. Product safety is then assessed based on its consequential loss in resources. The suggested definition is checked using the three commonly applied methods of product safety estimation; namely the product quality, the FMEA technique, and the Markov formulation. It is found that product safety in the broadened presented sense as a compromised viewpoint is often sought in order to reach a balance between their useful and harmful aspects with regards to all members of the ecological system. Moreover, product safety does embrace the gain/loss statistical data of product introductory versions and represents a trade-off function of its profits (resources renovation) and its losses (resources drain). In addition, the comprehensive resource-loss trend helps product designers meet a wide range of customer requirements and operational regulations as perspective environmental closed system (ECS).
Mohamed Reda Ramadan Gomaa,
M. A. S. Mohamed,
A Broadened Criterion to Assess Safety Factor of Industrial Products Design for Ecological Balancing, International Journal of Science, Technology and Society.
Vol. 3, No. 1,
2015, pp. 1-8.
X.cuny and M. Lejeune, Statistical modeling and risk assessment, Safety Science, Vol. 41, Issue 1, Feb. 2003, PP. 29-51.
J. L. Rouvroye and E. G. Van dan Bliek, Comparing safety analysis techniques, Reliability Engineering & System Safety, Vol. 75, 2002, PP. 289-294.
Hossam A. Gabbar, kazuhiko Suzuki, and Yukiyasu shimada, Design of plant safety model in plant enterprise engineering environment, Reliability Engineering & System Safety, Vol. 73, 2001, PP. 35-47.
S. J. Cox, and A. J. T. Cheyne, Assessing safety culture in offshore environments, Safety Science, Vol. 34, 2000, PP. 111-129.
Leo Beltracchi, Plant and safety system model, Reliability Engineering & System Safety, Vol. 64, 1999, PP. 317-324.
Birgitte Rasmussen, and Kurt E. Petersen, Plant functional modeling as a basis for assessing the impact of management on plant safety, Reliability Engineering & System Safety, Vol. 64, 1999, PP. 201-207.
Jon G. Anderson, Jeffrey D.E. Jeffries, Todd P. Mairs, and Frank J. Rahn, Optimized work control process to improve safety and reliability in a riskbased and deregulated environment, Reliability Engineering & System Safety, Vol. 63, 1999, PP. 225-229.
 K. Nytrö, P. ö. Saksvik, and H. Torvatn, Organizational prerequisites for the implementation of systematic health, environment and safety work in enterprises, Safety Science, Vol. 30, 1998, PP. 297-307.
C.J. Price and N.S. Taylor, Automated multiple failure FMEA, Reliability Engineering & system safety Vol. 76, Issue 1, April 2002, pp 1-10.
J.L.Rouvroye, E.G.Van den Bliek, Comparing Safety Analysis Techniques, Reliability Engineering and System Safety V75, 2002, pp. 289 - 294.
Tieling Zhang, Wei Long and Yoshinobu Sato, Availability of systems with self-diagnostic components ــ applying Markov model to IEC 61508-6, Reliability Engineering & System Safety, Volume 80, Issue 2, May 2003, pp.133-141.