Construction site layout planning problem: Past, present and future

Hawarneh, Alaa Al; Bendak, Salaheddine; Ghanim, F.

doi:10.1016/j.eswa.2020.114247

Cited by 26 publications

(10 citation statements)

References 55 publications

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“…During construction, a large number of temporary facilities are built, including temporary dormitories, offices, material storage yards, and various protective temporary facilities that are not delineated on building drawings [25][26][27]. To reflect the principles of lean construction, temporary facilities are usually processed in factories and assembled on the construction site.…”

Section: Incorporating Process Elements In Bim For Lean Constructionmentioning

confidence: 99%

Research on Full-Element and Multi-Time-Scale Modeling Method of BIM for Lean Construction

Zhao,

Chen,

Liu

et al. 2023

Sustainability

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Building Information Modeling (BIM) is a very effective technology for supporting lean construction. However, the current application of BIM during the construction phase does not incorporate all necessary elements of the construction site in a comprehensive manner. Additionally, the depiction of the construction process lacks the desired level of detail. These limitations impede the application of BIM-based lean construction. In this paper, we propose a full-element and multi-time-scale modeling approach to BIM during the construction phase. Our method first establishes a full-element model by reconstructing the main body of the building based on construction subdivision dimensions, construction technology, and management objectives. We then create a three-dimensional model that includes a process elements model of circulating materials, temporary facilities, construction machinery, and surrounding environmental elements. The integrated model of these elements provides a comprehensive representation of BIM at any static time point. Second, we conduct multi-time-scale simulations based on the full-element model. Our approach divides the entire time, local time, and special time points into three scales to simulate project progress, local structure construction technology, and working conditions. A case study of the Daxing International Airport construction project verifies that our method can achieve lean management of construction resources. Full-element modeling provides a comprehensive BIM representation at any static time point, thereby supporting lean construction by improving construction resource management, reducing costs, and enhancing efficiency.

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Section: Incorporating Process Elements In Bim For Lean Constructionmentioning

confidence: 99%

Research on Full-Element and Multi-Time-Scale Modeling Method of BIM for Lean Construction

Zhao,

Chen,

Liu

et al. 2023

Sustainability

View full text Add to dashboard Cite

show abstract

“…The design of facility layout is concerned with determining the physical arrangement of production or service facilities in the given space. The facility layout problem (FLP) exists in assigning the facilities on a plant floor space, identifying the service facilities in hospitals (Hahn and Krarup, 2001; Tongur et al , 2020), the arrangement of facilities in civil construction sites (Kim et al , 2021; Al Hawarneh et al , 2021). There is a vast application of FLPs in the manufacturing and service sectors.…”

Section: Introductionmentioning

confidence: 99%

A two-stage solution approach for unequal area facility layout problem with bi-directional relaxed flexible bay structure

Hunagund¹,

Pillai

U.N.

2022

JFM

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Purpose The purpose of this article is to develop a bi-directional relaxed flexible bay structure (BRFBS) in the layout for the unequal area facility layout problems (UA-FLPs) and test the suitability of the proposed approach using literature data. Design/methodology/approach This research adopts a two-stage solution approach for UA-FLPs to form BRFBS in the layout. The solution to UA-FLPs is carried out in discrete space. The proposed heuristic method optimises the layout plan for minimising the material handling cost (MHC), and also, it indirectly optimises the space utilisation by reducing the empty space in the layout. The first stage of layout design assumes that all facilities are equal in size and uses quadratic assignment problem (QAP) model. QAP is solved with a simulated annealing heuristic method. In the second stage, a heuristic method is proposed to find the optimum width for each bay and the dimension for facilities. The proposed heuristic method is tested with numerical data available in the literature. Results are compared with the results obtained by layout planning software, and with the simulated annealing algorithm for flexible bay structure (SA-FBS) heuristic procedure for continuous space UA-FLPs. Findings The proposed two-stage solution approach gives the BRFBS for the UA-FLPs. BRFBS helps to create proper aisle structure in the layout plan. The layout configuration and solution of the proposed method is better than the layout planning software solution and SA-FBS solution. The application of the proposed heuristic method to case data gave lesser MHC, better space utilisation and better aisle formation than the existing layout. Research limitations/implications The proposed approach has the limitation that it can be applied only to UA-FLPs solved in discrete space. When the UA-FLPs are solved in continuous space, then it is not possible to make application of this approach to form bi-directional relaxed flexible bays in the layout plan. Practical implications Most of the modern industries are automated, and they use material handling equipment (MHE) like automated guided vehicles (AGVs). Design of layout plans that help to create proper aisle structure for AGV’s in the layout plan is a challenging to the researchers. The BRFBS configuration is more suitable in the flexible manufacturing system where AGVs are used for material transportation. Originality/value This paper proposes a novel two-stage heuristic method for solving the UA-FLPs in discrete space. The proposed approach generates a BRFBS in the layout plan. The BRFBS helps to create a proper aisle structure suitable for better material handling operations. Hence, this type of layout helps in easy interaction of the MHE (e.g. AGVs) with the boundaries of the facilities touching the aisle.

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“…The construction industry contributes to a significant percentage of the total gross domestic product (GDP) of many economies worldwide s [1]. As construction sites become larger and more complex, it is essential to evolve optimisation techniques that increase the efficiency of the operation of the construction industry [2]. An important factor influencing productivity, safety, and efficiency of construction operations, is the site layout adopted during the various stages of construction.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, a new concept emerged, namely Dynamic site layout planning (DSLP). DSLP proposes that site layout plans should reflect changes that constantly take place on site, such as arrival time of materials, the fluctuations in resource demand, the locations where supporting facilities are needed at each stage of the project, and the constant adjustment of construction schedules [2,11]. Thus, inactive space can be reallocated throughout the project, as it becomes available, increasing productivity and making the process more realistic [11,13,14].…”

Section: Introductionmentioning

confidence: 99%

The Use of Unmanned Aerial Vehicles for Dynamic Site Layout Planning in Large-Scale Construction Projects

et al. 2021

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Construction sites are increasingly complex, and their layout have an impact on productivity, safety, and efficiency of construction operations. Dynamic site layout planning (DSLP) considers the adjustment of construction facilities on-site, on an evolving basis, allowing the relocation of temporary facilities according to the stages of the project. The main objective of this study is to develop a framework for integrating unmanned aerial vehicles (UAVs) and their capacity for effective photogrammetry with site layout planning optimisation and Building Information Modelling (BIM) for automating site layout planning in large construction projects. The mathematical model proposed is based on a mixed integer programming (MIP) model, which was employed to validate the framework on a realistic case study provided by an industry partner. Allocation constraints were formulated to ensure the placement of the facilities in feasible regions. Using information from the UAV, several parameters could be considered, including proximity to access ways, distances between the facilities, and suitability of locations. Based on the proposed framework, a layout was developed for each stage of the project, adapting the location of temporary facilities according to current progress on-site. As a result, the use of space was optimised, and internal transport costs were progressively reduced.

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Construction site layout planning problem: Past, present and future

Cited by 26 publications

References 55 publications

Research on Full-Element and Multi-Time-Scale Modeling Method of BIM for Lean Construction

Research on Full-Element and Multi-Time-Scale Modeling Method of BIM for Lean Construction

A two-stage solution approach for unequal area facility layout problem with bi-directional relaxed flexible bay structure

The Use of Unmanned Aerial Vehicles for Dynamic Site Layout Planning in Large-Scale Construction Projects

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