The pressures of the early 21st century economic and operating climate continue to provide challanges to the established process engineering operation. Traditional methods and approaches to Design, Operation, Management and Maintenance come under closer scrutiny, in particular their ability to handle variability and uncertainty. Simultaneously, the accessibility of integrated plant data (from process historians, maintenance systems) and records through modern desk-top facilities, together with the growing realisation that this data is an asset which can be used to provide insight into process operation, leads inexorably to the need for tools and techniques which can exploit the data in pursuit of the challenges mentioned. No longer can plant design be considered in isolation from the variability and uncertainty that will undoubtedly impact the plant during its life-cycle. Traditional overdesign/sparing rules of thumb are challenged in a CAPEX-conscious world. Life-cycle cost and availability requirements are now specified at the Basis of Design. Statistics (in its broadest sense) and related methodologies becomes a vehicle to address these issues. Whilst Statistics may be a mature and well established technology in areas such as product development, laboratory R&D and discrete parts manufacturing, it is a relative newcomer in the large scale process domain. From Design through Operation and Maintenance its introduction offers a new perspective into the handling of risk and uncertainty in these processes.
The pressures of the early 21st century economic and operating climate continue to provide challanges to the established process engineering operation. Traditional methods and approaches to Design, Operation, Management and Maintenance come under closer scrutiny, in particular their ability to handle variability and uncertainty. Simultaneously, the accessibility of integrated plant data (from process historians, maintenance systems) and records through modern desk-top facilities, together with the growing realisation that this data is an asset which can be used to provide insight into process operation, leads inexorably to the need for tools and techniques which can exploit the data in pursuit of the challenges mentioned. No longer can plant design be considered in isolation from the variability and uncertainty that will undoubtedly impact the plant during its life-cycle. Traditional overdesign/sparing rules of thumb are challenged in a CAPEX-conscious world. Life-cycle cost and availability requirements are now specified at the Basis of Design. Statistics (in its broadest sense) and related methodologies becomes a vehicle to address these issues. Whilst Statistics may be a mature and well established technology in areas such as product development, laboratory R&D and discrete parts manufacturing, it is a relative newcomer in the large scale process domain. From Design through Operation and Maintenance its introduction offers a new perspective into the handling of risk and uncertainty in these processes.
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