PRODUCTIVITY IMPROVEMENT IN OPERATING AUTONOMOUS PLANTS SUBJECT TO RANDOM BREAKDOWNS IN CONSTRUCTION

Realizing continuous operations of autonomous plants subject to finite specialist crew resources for maintenance and repair is vital to achieving productivity and cost-effectiveness in construction operations. This paper presents a practical Monte Carlo simulation-based method to develop autonomous...

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Bibliographic Details
Published in2018 Winter Simulation Conference (WSC) pp. 3885 - 3896
Main Authors Lu, Ming, Hasan, Monjurul
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2018
Subjects
Electric breakdown
Maintenance engineering
Manufacturing
Mathematical model
Planning
Productivity
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ISSN1558-4305
DOI10.1109/WSC.2018.8632430

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Summary:Realizing continuous operations of autonomous plants subject to finite specialist crew resources for maintenance and repair is vital to achieving productivity and cost-effectiveness in construction operations. This paper presents a practical Monte Carlo simulation-based method to develop autonomous plants operations and maintenance programs. To balance the cost of plant production loss against the cost of hiring maintenance crews, we define a cost function which factors in production output value, resource utilization efficiency and direct cost in connection with both autonomous plants and maintenance crews. An illustration case of planning maintenance crew resources in operating autonomous crushing plants at a quarry site is used to shed light on required input data, simulation processing, and output analysis. The case also has increasing relevance to the construction industry in the near future in terms of planning the operation of a fleet of autonomous equipment in site operations.
ISSN:1558-4305
DOI:10.1109/WSC.2018.8632430