Proposal and evaluation of logging archiving algorithm for developing MOC Supporter: software tool to support Management of Change (MOC) execution


Changes in criteria, procedure and method of maintenance or design of chemical and nuclear plants caused large-scale accidents in the past. The resulting emphasis on Management of Change led to formulating guidelines such as Process Safety Management (hereafter OSHA/PSM) and increased ability to prevent accidents. However, Management of Change (hereafter MOC) does not appear to have performed appropriately due to issues such as lack of recognition of MOC and implementation burden. This avoidance of MOC caused insufficient accumulation and sharing of information data, which in turn resulted in accidents. This study describes the development of MOC Supporter, a software system designed to help execute MOC and solve the lack of information accumulation and sharing. MOC Supporter will provide safety by supporting appropriate execution of MOC protocol, acquisition and management of logs which enable backward trace.

This paper reports on a proposal for an algorithm to accumulate logs, evaluate whether the logs obtained by this algorithm can realize backward trace, and the design and imple- mentation for development of MOC Supporter.


S. F. Warner, “The Flixborough Disaster,” Chemical Engineering Progress, vol. 71, pp. 77–84, Sept. 1975.

The Society of Chemical Engineers of Japan, “Explore the way for management of change [Japanese],” Chemical Engineering Technical Report 43, 2012.

Hirotsugu Minowa, Kazuhiro Takeda, Yukiyasu Shimada, and Tetsuo Fuchino, “A Design of a Software System Supporting to Appropriately Perform the Management of Change Procedure,” in Proc. of ASCON-IEEChE2016, (Yokohama), pp. 247–252, Nov. 2016.

A.M.Herman,C.N.Jeffress,andA.Secretary,“1910.119ProcessSafetyManagement of Highly Hazardous Chemicals,” in Process Safety Management, pp. 28–41, 2000.

Tomomi Fujiwara, Hirotsugu Minowa, and Yoshiomi Munesawa, “Development of Dismantlement Support AR System for Nuclear Power Plants using Natural Features,” CHEMICAL ENGINEERING TRANSACTIONS, vol. 43, pp. 1999–2004, May 2015.

H. Minowa, M. Yuya, and M. Yoshiomi, “Integration Technique of Event Progress in Order to Visually Confirm the Connection Between Cases of Accident,” in The Asian Conference on Techology in the Classroom 2013, pp. 313–324, iafor, Apr. 2013.

Dave Gorman, Jim Farr, Rob Bellair, Wade Freeman, and et. al., “Enhanced NOAA Chemical Reactivity Worksheet for Determining Chemical Compatibility,” Process Safety Progress, vol. 33, no. 1, pp. 4–18, 2013.

Edward Mark Davis, Dan Silva, and John Murphy, “The CCPS Chemical Reactivity Evaluation Tool,” Process Safety Progress, vol. 31, pp. 203–218, Sept. 2012.

H. A. Aziz, A. M. Shariff, and M. R. Roslan, “Managing process hazards in lab-scale pilot plant for safe operation,” American Journal of Engineering and Applied Sciences, vol. 5, no. 1, pp. 84–88, 2012.

A. J. B. De Oliveira Júnior, E. R. D. Dos Santos, E. De Maio Francisco, L. De Amorim Almeida, and M. C. Dos Santos Júnior, “Decision flowchart to sup- port MOC-personnel (MOC-P),” in 5th CCPS Latin American Conference on Process Safety 2013, LACPS 2013, pp. 788–794, 2013.

United States Government US Army, Systems Engineering Funadamentals. Creates- pace Independent Pub, apr 2013.

Yukiyasu Shimada and Teiji Kitajima, “Framework for safety-management activity to realize OSHA/PSM,” in Proc. International Workshop on Real Time Measurement, Instrumentation & Control [RTMIC], pp. 1–10, IEEE, June 2010.

Tetsuo Fuchino, Kazuhiro Takeda, and Yukiyasu Shimada, “Incident Investigation on the Basis of Business Process Model for Plant Lifecycle Engineering,” CHEMICAL ENGINEERING TRANSACTIONS, vol. 48, pp. 889–904, 2016.

Yukiyasu Shimada, Mieko Kumasaki, Teiji Kitajima, Kazuhiro Takeda, Tetsuo Fuchino, and Yuji Naka, “Reference Model for Safety Conscious Production Man- agement in Chemical Processes,” in Proc. 13th Int. Symp. on Loss Prevention and Safety Promotion in the Process Industries, pp. 629–632, 2010.

Knowledge Based Systems, Inc., “AIØ WIN®.” win, June 2018.

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