Agent-Based Lift System Simulation Model for High-Rise Building Construction Projects
Authored by Minhyuk Jung, Moonseo Park, Hyun-Soo Lee, Seokho Chi
Date Published: 2017
DOI: 10.1061/(asce)cp.1943-5487.0000707
Sponsors:
Korean National Research Foundation (NRF)
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Model Documentation:
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Abstract
Lift system performance in construction sites can vary significantly
depending on lift traffic within the system, rendering it imperative to
control this factor by limiting the range of the lift car's service
floors. There are various methods of defining and combining
service-floor range, and system performance can be increased or
decreased depending on the extent of suitability between the planned
lift system and distribution of given traffic. In designing a
construction lift system, it becomes essential to carry out a
quantitative performance analysis and comparison of system alternatives.
However, traditional simulation methods of modeling global system
processes inhibit the evaluation of multiple system alternatives with
their own distinct global processes. Therefore, this study aims to
address such deficiencies by developing an agent-based simulation
method, beginning with a literature review on lift systems intended to
examine the external and internal factors affecting system performance.
An agent-based simulation method is then used by modeling the behavioral
rules of system components (e.g., lift cars and workers). Simulation
experiments are conducted alongside assessments of the performance of
seven lift system alternatives with unique system processes. The
resulting research reveals the complex relationship among configuration
of service floors, lift car range, and system performance, thereby
suggesting how agent-based modeling techniques can contribute to the
analysis of operational-level systems with diverse global system
processes. (C) 2017 American Society of Civil Engineers.
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