A simulation approach for a periodic PCR buffer allocation strategy in organizational program management

Koo, Kyo-Jin; Kim, Sung-Keun; Park, Hyung Keun

doi:10.1016/j.autcon.2011.04.003

Cited by 2 publications

(2 citation statements)

References 39 publications

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“…This is because near the end of the period, there is not much of the periodic production target (quota) remaining and consequently big capacity cushions cannot increase chances of meeting the target. This is in line with findings of Hong and Hastak [11], González et al [48] and Koo et al [49], and leads us to the following proposition:…”

Section: Deviation From Periodic Production Targets In Off-site Constsupporting

confidence: 88%

Autonomous production tracking for augmenting output in off-site construction

Arashpour

Wakefield

Blismas

et al. 2015

Automation in Construction

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Problems in existing methods of production tracking in off-site construction result in schedule delays and increased costs. To eliminate these deficiencies, an autonomous production tracking that analyzes real-time production data is proposed. A specific implementation of the proposed production tracking mechanisms has been developed for a large off-site construction plant in Australia, and is in the process of installation. The paper shows that: (i) The production model in off-site construction is always nonlinear in the outcome due to the presence of variability (ii) in systems with a periodic production target, deviation from the schedule converges to zero at the end of production period and the same downward trend should be followed in designing plan buffers and (iii) long-term production performance in off-site construction can autonomously be monitored and controlled by observing critical variables of production. The paper provides those who manage off-site construction with recommendations on effective production tracking and management. The models and propositions in this research are of practical value and can be used to detect impending production shortfalls against periodic targets in the short-term, and adjust capacity parameters and production targets in long-term planning.

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Section: Deviation From Periodic Production Targets In Off-site Constsupporting

confidence: 88%

Autonomous production tracking for augmenting output in off-site construction

Arashpour

Wakefield

Blismas

et al. 2015

Automation in Construction

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show abstract

“…Wang and Shi believed that management elements, including the quality, schedule, cost, and risk, are the basis for the optimization of CPs, and they suggested that project managers carry out the program via the dynamic configuration of management elements [ 17 , 18 ]. As an alternative to protecting individual activities, Koo proposed a buffer allocation strategy by which periodic buffers are allocated in the flows of program constraint resources to stabilize a master construction schedule, and they illustrated the performance of the proposed strategy in terms of the program goals of productivity, flexibility, and long-term stability through comparative experiments using Monte Carlo simulations [ 19 ]. An et al proposed a construction project management model with synergy optimization of multiple goals to study the orientation and synergy management of the whole process of the construction project, and they provided a reference for the synergy management and optimization of CPs [ 20 ].…”

Section: Introductionmentioning

confidence: 99%

An Environmental Management Maturity Model of Construction Programs Using the AHP-Entropy Approach

Bai

Wang

Huang

et al. 2018

IJERPH

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The accelerating process of urbanization in China has led to considerable opportunities for the development of construction projects, however, environmental issues have become an important constraint on the implementation of these projects. To quantitatively describe the environmental management capabilities of such projects, this paper proposes a 2-dimensional Environmental Management Maturity Model of Construction Program (EMMMCP) based on an analysis of existing projects, group management theory and a management maturity model. In this model, a synergetic process was included to compensate for the lack of consideration of synergies in previous studies, and it was involved in the construction of the first dimension, i.e., the environmental management index system. The second dimension, i.e., the maturity level of environment management, was then constructed by redefining the hierarchical characteristics of construction program (CP) environmental management maturity. Additionally, a mathematical solution to this proposed model was derived via the Analytic Hierarchy Process (AHP)-entropy approach. To verify the effectiveness and feasibility of this proposed model, a computational experiment was conducted, and the results show that this approach could not only measure the individual levels of different processes, but also achieve the most important objective of providing a reference for stakeholders when making decisions on the environmental management of construction program, which reflects this model is reasonable for evaluating the level of environmental management maturity in CP. To our knowledge, this paper is the first study to evaluate the environmental management maturity levels of CP, which would fill the gap between project program management and environmental management and provide a reference for relevant management personnel to enhance their environmental management capabilities.

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A simulation approach for a periodic PCR buffer allocation strategy in organizational program management

Cited by 2 publications

References 39 publications

Autonomous production tracking for augmenting output in off-site construction

Autonomous production tracking for augmenting output in off-site construction

An Environmental Management Maturity Model of Construction Programs Using the AHP-Entropy Approach

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