Delay time modelling and software development

Cui, X (2002) Delay time modelling and software development. PhD thesis, University of Salford, UK.

Abstract

Delay time modelling (DTM) is the process to establish the mathematical model based on the delay time concept and then to use it for improving plant maintenance management. The delay time model can be divided into a single component model (component-tracking model) or a complex system model (pooled-components model). DTM has been proved to be a methodology readily embraced by engineers for modelling maintenance decisions. The application and research of delay time modelling has come to a stage where a semi-automated tool can be developed. In this thesis, the research on the software development of delay time modelling will be presented. Firstly, delay time models for both a single component (or component-tracking model) and a complex system (or pooled-components model) are introduced. The key part is delay time parameter estimation, which will be presented in details using available subjective, objective or both Secondly, the development of the software package is presented. It includes project analysis, database design, and program design. In the project analysis phase, the delay time models are transformed to program models. All analysis of program models consists of three parts, such as input, processing and output. In the database design phase, some tables are created to store processing information, which is then used in subsequent mathematical modelling. Detailed programming work is given in the program design phase. The major achievement of this research and an open discussion of future work conclude the thesis.

Item Type: Thesis (Doctoral)
Uncontrolled Keywords: maintenance management; mathematical modelling; programming
Index terms: maintenance management, engineer, complex system, database, mathematical modelling, design phase, modelling, mathematical model, software development, software package, program, methodology, programming, parameter-estimation
Subjects: research methods, maintenance engineering, software systems, data management, statistical analysis, systems engineering, mathematical modelling, profession, programming, analytical methods, professional practice
Topics: Engineering Principles, Roles and Professions, Business Strategy, Research Practice, Digital Applications, Design Practice
Descriptive scope: 4 PCTA

N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here