Life cycle support of manufacturing systems based on an integration of tools

Singh, Valdew; Weston, Richard

doi:10.1080/00207549608904888

Cited by 3 publications

(1 citation statement)

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“…The concept of asset management optimizes labour, tools, equipment, materials and information by integrating financial, human resources and purchasing functions, as well as production, materials requirements planning and enterprise resources planning systems [2]. The manufacturing systems community regards maintenance as a critical part of life cycle support and facilitates this with software tools for design, implementation, run time and change processes [3]. The integration of operations and maintenance is becoming widespread and is promoted by the use of reliability-centred maintenance (RCM) and total productive maintenance (TPM) philosophies [4].…”

Section: Levels Of Integrationmentioning

confidence: 99%

Systems integration in maintenance engineering

Starr

Ball

2000

Proceedings of the Institution of Mechanical Engineers, Part E:

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Integration in maintenance engineering systems provides a potential solution to some complex and conflicting problems. Decision making is often achieved with uncertainty and unknowns, while measuring against conflicting performance criteria. Maintenance decisions are made in the context of business priorities.Integration must consider the bidirectional flow of data and information into the decision-making and planning process at all levels. This reaches from business systems right down to sensor level. Integration automates the organization and operation of systems, data collection and actuation, information storage and decision making. Critically, integrated systems display the evidence of thorough top-down system design, which incorporates the elements above and closes the loop from the minutiae of data collection to strategic decision making.This paper introduces the systems associated with maintenance and draws comparisons with adjacent disciplines such as control. A globalized model is proposed, and methods for selecting and adapting technologies for the model are discussed. Examples of industrial implementation are shown at several levels within the model.

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Section: Levels Of Integrationmentioning

confidence: 99%