Formalized approach to discretize a continuous plant in construction simulations

Lau, S C; Lu, M and Poon, C S (2014) Formalized approach to discretize a continuous plant in construction simulations. Journal of Construction Engineering and Management, 140(8): 04014032, ISSN 0733-9364

Abstract

The lack of the expertise and resources, the unavailability of sufficient and complete operations data, and the absence of relevant site information present obstacles to applying combined simulation modeling in practice. Construction modelers are required to make critical decisions in a short turnaround time for planning operations and improving productivity. Thus, a more convenient discrete event simulation-based approach in simulating the production capacity of the continuous plant given limited data availability is desirable and formalized, which essentially discretizes the modeling of continuous elements in a predominantly discrete system without loss of significance or accuracy. As such, a direct application of a discrete simulation method intended for construction applications will offer a straightforward, sufficient solution to model the whole system. A concrete pumping case is used to illustrate the proposed approach. The effectiveness of the proposed approach is further demonstrated to tackle a real-world challenge: modeling iron ore mining operations to achieve efficiency and enhance productivity. Especially, the formula proposed is applied to simplify the modeling of the iron ore processing plant with magnetic separation drums, which constitutes the major plant used for extracting iron sand from the slurry of iron ore. A discrete event simulation model was rapidly developed for the complex mining system and the insight derived from simulation experiments assisted a mining company in (1) configuring the processes of raw sand excavation, iron sand magnetic separation and iron sand shipment at a seaport, (2) optimizing resource allocation and utilization. In conclusion, the proposed approach adds to the usefulness and flexibility of a discrete simulation methodology in modeling complicated construction systems.

Item Type: Article
Uncontrolled Keywords: construction management; decision support; mining; quantitative analysis; quantitative methods; simulation
Index terms: accuracy, construction simulation, decision support, quantitative analysis, construction system, methodology, quantitative method, excavation, productivity, simulation experiment, resource allocation, efficiency, discrete event simulation, modelling, sand, mining, effectiveness, simulation modelling
Subjects: management, performance management, research methods, professional development, decision analysis, geotechnical engineering, building construction, modelling and simulation, building materials, construction operations, data analysis and analytics, resource management, analytical methods
Topics: Risk Management, Business Strategy, Research Practice, Engineering Principles, Information Management, Site Management, Digital Applications, Quality Management
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