Optimization Model of Information Flow in Power Grid Engineering Construction Projects Based on Improved DSM

2015 ◽  
Author(s):  
A-yong Li ◽  
Li-rong Wei
Keyword(s):  
Information Flow ◽  
Optimization Model ◽  
Construction Projects ◽  
Power Grid ◽  
Engineering Construction

Using Analytic Hierarchy Process to Optimize PESTEL Scenario Analysis Tool in Huge Construction Projects

2017 ◽  
Vol 865 ◽  
pp. 707-712 ◽  
Author(s):  
José Geraldo Lamas Leite ◽  
Luiz Carlos Brasil de Brito Mello ◽  
Orlando Celso Longo ◽  
Eduardo Picanço Cruz
Keyword(s):  
Analytic Hierarchy Process ◽  
Scenario Analysis ◽  
Exploratory Study ◽  
Construction Projects ◽  
Pareto Distribution ◽  
Civil Engineering ◽  
Analysis Tool ◽  
Analytic Hierarchy ◽  
Engineering Construction ◽  
Hierarchy Process

This paper uses the Analytic Hierarchy Process to optimize the PESTEL analysis. The scenario: pre-construction and assembly factors of huge civil engineering construction projects. Several managers use too many criteria to evaluate large projects. It suggests that there may be few important criteria that summarize the manager's preference. To demonstrate the feasibility of the proposed hypothesis, the authors prepared a qualitative and exploratory study. Conclusions are based on the judgment of an expert interviewed. As expected, the hypothesis was considered plausible. Two main criteria corresponded to 71% of the expert's preference. The result resembles a Pareto distribution.

scholarly journals Enabling an effective knowledge and information flow between the phases of building construction and facilities management

Facilities ◽  
2018 ◽  
Vol 36 (3/4) ◽  
pp. 151-170 ◽  
Author(s):  
Adeline Zhu Teng Tan ◽  
Atiq Zaman ◽  
Monty Sutrisna
Keyword(s):  
Life Cycle ◽  
Knowledge Sharing ◽  
Conceptual Model ◽  
Information Flow ◽  
Western Australia ◽  
Construction Projects ◽  
Content Type ◽  
Handover Process ◽  
Information Gaps ◽  
Integrated Knowledge

Purpose The purpose of this study is to investigate ways of transferring knowledge and information during the life-cycle phases of construction projects, particularly between the construction and occupancy phases, and to find an approach to minimise knowledge and information gaps during the handover process. Design/methodology/approach The study applied a qualitative approach involving a literature review and an archival analysis of information flow in the studied cases of a construction project, followed by a cross-cases analysis and expert interviews. Data on information flow were collected from three cases of building construction projects in Perth, Western Australia. In addition, a total of 18 local facilities management experts were interviewed to identify the key reasons of knowledge and information gaps and to propose an effective knowledge flow model. Findings The findings of this study indicated a significant knowledge and information gap, which exists during the handover process in construction projects in Western Australia. The findings of case analysis and expert interviews identified that the project handover guidelines were often ignored in construction projects in Western Australia, and the handover phase was not given the same priority as the design and construction phases by most of the project stakeholders, which led to information and knowledge gaps between the project construction and post-occupancy phases. The study conducted, integrated knowledge and information flow modelling to analyse the knowledge and information gaps followed by mapping the gaps against existing knowledge sharing frameworks (KSFs) before proposing an integrated knowledge sharing conceptual model to improve current practice and to enhance the information flow during the various phases of the construction project life cycle. Research limitations/implications The study is based on three cases in Perth, Western Australia, and thus the findings and recommendations are contextual. Whilst laying a good foundation to do so, further research is needed to investigate more cases in Western Australia and beyond to fully generalise the findings from this study. Originality/value The study contributes to improve the handover process and information flows in project life-cycle phases in Western Australia and develop an information flow model followed by bringing together existing KSFs, namely, the open communication channel (OCC), soft landing framework (SLF) and building information modelling (BIM), to propose an integrated knowledge sharing conceptual model. The methodology used here to analyse the information flow in a diagrammatic manner, the mapping of FM issues against the KSFs’ capabilities and a conceptual model to facilitate change in the industry’s silo mindset are the main contributions of this paper.

An optimization model for power grid fortification to maximize attack immunity

2018 ◽  
Vol 99 ◽  
pp. 594-602 ◽  
Author(s):  
Alberto Costa ◽  
Dionysios Georgiadis ◽  
Tsan Sheng Ng ◽  
Melvyn Sim
Keyword(s):  
Optimization Model ◽  
Power Grid

scholarly journals Optimization of Earthwork Allocation Path as Vehicle Route Problem Based on Genetic Algorithm

2020 ◽  
Vol 165 ◽  
pp. 04057
Author(s):  
Naifu Deng ◽  
Xuyang Li ◽  
Yanmin Su
Keyword(s):  
Genetic Algorithm ◽  
Optimization Model ◽  
Construction Projects ◽  
Vehicle Route Problem ◽  
Vehicle Route ◽  
Route Problem ◽  
Modified Genetic Algorithm ◽  
Global Optimal ◽  
The Cost ◽  
Engineering Projects

In civil engineering, earthwork, prior to the construction of most engineering projects, is a lengthy and time-consuming work involving iterative processes. The cost of many AEC (Architecture, Engineering and Construction) projects is highly dependent on the efficiency of earthworks (e.g. road, embankment, railway and slope engineering). Therefore, designing proper earthwork planning is of importance. This paper simplifies the earthwork allocation problem to Vehicle Route Problem (VRP) which is commonly discussed in the field of transportation and logistics. An optimization model for the earthwork allocation path based on the modified Genetic Algorithm with a self-adaptive mechanism is developed to work out the global optimal hauling path for earthwork. The research results also instruct the initial topographic shaping of the Winter Olympic Skiing Courses Project. Furthermore, this optimization model is highly compatible with other evolutionary algorithms due to its flexibility, therefore, further improvement in this model is feasible and practical.

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