Risk-Conscious Operations Management (RCOM)

NPTEL via Swayam

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ABOUT THE COURSE:Risk component is inherent to any engineering or business operational environment and a systematic assessment and management of risk in perpetuality is the requirement of safety assurance. There is a general consensus that operational eco-system is human interaction intensive component and this is the reason human factor is the major contributing factor to risk. A risk-conscious operations management helps understand not only human but also organizational factors responsible for human error. This course is design to understand not only the contributing factors but also provide an effective framework for risk reduction in operational management of complex engineering systems.INTENDED AUDIENCE: Anyone with a BE/BTech having done a UG level course on control theory, or with an MSc in mathematics having done courses on dynamical systems can go through this course.PREREQUISITES: B.Tech. in any engineering disciplineINDUSTRY SUPPORT: Any company that does control systems design: aerospace, robotics, chemical processes, etc. should value/recognize this online course. For example, Eaton, Honeywell, GE, ABB, etc.

Syllabus

Week 1: Introduction to Risk-conscious operations management: Operations management of complex engineering systems. Major functions of operations management, that include, Plant administration / management and hierarchy of reporting, surveillance & decision making, protocol for adherence to technical specifications, maintenance planning and scheduling, technical scheduling including fueling and inventory management. Training and qualification, financial management, Salient features of safety management in respect of operations management activities, Regulatory provisions and compliance protocols in the plant.
Week 2:Role of Consciousness: Background, evolution of science and philosophy of consciousness, consciousness and human reliability, Consciousness framework for RCOM. Historical perspective. Major philosophies of science of consciousness.
Week 3: Dependability Engineering: Introduction, Risk-conscious approach, role of dependency modelling, dependability assessment, special areas, common cause failure vis-à-vis root cause analysis and role of physics of failure modelling. Potential role of intelligent and automation systems, root cause analysis.
Week 4:Operations research in risk-conscious management. Risk-based surveillance test interval (STI) and Allowable Outage Time evaluation as part of scheduling and time management. Enterprise resource planning (ERP) and supply chain management (SCM). Inventory management as part of material requirements and planning (MRP). Network optimization and engineering, packet routing optimization. Role of command and control protocol, scheduling, planning, documentation, inventory management, decision making during emergency conditions.
Week 5:Risk-based Engineering: RBE framework, role of deterministic and probabilistic integrations in operational tasks including technical specification optimizations, role of surveillance, monitoring and prognosis. Development of operational metrics and requirements for operational risk simulation for identified scenarios. Creation of database of hardware and human factors for risk-simulation.
Week 6:Risk Simulation: Integrated risk simulation framework, data analytics, on-line risk monitoring, role of simulator in risk simulation, Operational postulated initiating even and emergency operating procedure simulation to support development of human factor for emergency conditions.
Week 7:Risk-conscious Culture: Background, residual risk and risk-perception, culture, limitation of safety culture paradigm, Risk-conscious culture: Governing principles, Risk-model, Organizational and Human elements, technical elements.
Week 8:Human factors in operations: Implication of human factor in operations, CQB Human reliability model. Anatomy and Physiological processes in cognition, major attributes of consciousness in RCOM, Conscience and plant security aspects, reference human model in RCOM, modelling of sense bases, operational performance influencing factors. Role of root cause analysis in support of identifying the human roots.
Week 9:Operational Risk Management: Integrated operations Risk, Risk-based, Risk-informed, and risk-conscious approach – distinguishing features, Operational risk indicators, Integrated Operational Risk assessment and management framework, Precursor Analysis, Human Factor & RCOM
Week 10:Risk-conscious Maintenance Management: Equipment Life Cycle management vis-à-vis, evolution of maintenance management, risk-conscious maintenance management – the framework, implementation strategy, maintenance and test interval optimization, role of precursor monitoring to reduce common cause failure.
Week 11:Role of AI in Operational Risk Management: Intelligent operator advisory systems, role of ANN and fuzzy rule-based system, risk-framework in support of diagnostics and state prediction. Decision algorithms and criteria.
Week 12:Security Risk Assessment and Management: identification and source of malicious acts, insider and outsider risk, identification of vulnerabilities, cyber physical systems risk assessment, common cause potential evaluation, modeling and assessment of damage potential. Role of simulations