Abstract
The location of temporary facilities on construction sites is essential to the enhancement of productivity and safety, but it is complex due to the unique issues associated with construction. To positively contribute to the dynamic construction site layout planning field, this paper proposes a new fuzzy multi-objective decision making model. The proposed hybrid optimization model utilizes fuzzy numbers and logic to represent the closeness relationship between temporary facilities. The two main phases presented represent a specific advance in knowledge in through: (1) an optimization model that considers both uncertainty and dynamic elements; (2) the application of this optimization to a special project. A multi-objective simulated annealing-based genetic algorithm (MOSA-based GA) is proposed to solve the model and the case of Jinping-II hydroelectric station is studied to evaluate the model’s performance. The computational study was carried out to demonstrate the practicality and efficiency of the proposed optimization method. The study is applicable and useful to the profession.
Highlights
Facility location planning management in large scale hydropower construction is difficult in China, and often suffers from a significant waste of the resources as the real environment is complex, uncertain, and of long duration and high cost (Gang, Xu 2010; Xu, Li 2012; Xu, Zhang 2012)
The Discrete Dynamic Temporary Facilities Location Planning Problem (DDTFLPP) handling cost is caused by the value streams, namely the material flows (MF), the information flows (IF), the personnel flows (PF), the equipment flows (EF) and the safety/environmental concerns (SE) (Karray et al 2000; Dweiri, Meier 1996; Deb, Bhattacharyya 2005; Elbeltagi, Hegazy 2001)
From the above statement, we can conclude that this paper has presented a new hybrid optimization model for the DDTFLPP of the large scale hydropower station by combining traditional research theory, practitioners’ perceptions and a mathematical approach
Summary
Facility location planning management in large scale hydropower construction is difficult in China, and often suffers from a significant waste of the resources as the real environment is complex, uncertain, and of long duration and high cost (Gang, Xu 2010; Xu, Li 2012; Xu, Zhang 2012). While models that deal with dynamic layout planning in construction have been limited (Elbeltagi, Hegazy 2004), there is an increasing number of studies focusing on solving dynamic construction site layout planning problems (Zouein, Tommelein 1999; Baykasoglu et al 2006; Ning et al 2010). Current research in construction site layout planning problems deals with this subjective uncertainty using fuzziness (Ning, Wang 2011; Soltani, Fernando 2004; Mawdesley, Al-Jibouri 2003; Maravas, Pantouvakis 2012). This paper proposes a multi-objective dynamic construction site layout planning model under a fuzzy environment with a representative case study.
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