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To achieve a high container handling efficiency at transshipment hub ports, there are a variety of scheduling problem as ship-to-berth assignment (BAP), container-to-yard arrangement (YAP), etc. As it is difficult to acquire the actual data of an existing terminal under various circumstances, this study aims to develop the time estimation model of container handling. Additionally, to achieve an efficient handling of containers at the yard, this study proposes the way to optimize the yard arrangement along with the berth allocation simultaneously by using estimated handling time.

To obtain the handling time based on various situations of the terminal operated, the discrete simulation model of container handling is constructed. The model to estimate the handling time of a quay crane assigned to a relevant ship by multiple regression analysis is developed. To find a feasible solution to minimize the total service time which includes YAP and BAP simultaneously, a genetic algorithm based on heuristics is developed.

The proposed regression model has high performance to estimate the time spent of container handling. In the total service time, the proposed approach outperformed the existing 2-step process approach.

As it is difficult to acquire the actual information of an existing marine terminal under various circumstances, the paper contains a regression model to estimate the container handling time based on simulation data, and the regression model is used in an optimization model to minimize the ship turnaround time.

This study applied the lean approach to the reinforcement work process in the component production of industrialised building system precast concrete construction (IBSPCC). The purpose of this paper is to identify and eliminate non-value added (NVA) activities to enhance the efficiency of the production process.

Data were collected via a case study of six-storey precast concrete building. A mapping of the reinforcement work process was conducted based on observations using time study technique and time-lapsed video, complemented by semi-structured interviews.

Through this application, several NVA activities, such as unnecessary inventory, excessive movement and coordination issues, were identified. Production performance could be enhanced by implementing Just-in-Time, Kanban, and layout improvements, which would address NVA activities.

Due to the complexity of the construction process, only specific process elements were observed. To map the complete process, comprehensive observation must be conducted from beginning to end, which, though worthwhile, would be very time and resource intensive.

This paper focusses on strategies for improving the efficiency of the IBSPCC production process in Malaysian construction by developing a conceptual framework of the lean approach for the reinforcement work process. Certain aspects in the process such as layout and inventory need to be redesigned and simplified by minimising NVA activities.

Since this paper was first presented at the International Symposium of Corrosion and Protection Offshore in Paris, May 1979, Wilson Walton International report that their system for remote monitoring of offshore structures and pipelines is the only one of its type in use in the North Sea area. They add that six major oil companies have now ordered this type for North Sea jackets.

Prefabricated construction concerns off-site production, multi-mode transportation and on-site installation of the prefabricated components, which are interdependent and dynamically interactive, so coordination among the multiple stages along the prefabricated component supply chain (PCSC) is indispensable. This study aims to solve the dynamic transportation planning problem for the PCSC by addressing the interdependency, dynamic interaction and coordination among the multiple stages and different objectives of the stakeholders.

The PCSC is analyzed and then the formulation for the dynamic transportation planning problem is developed based on the just-in-time (JIT) strategy. The particle swarm optimization (PSO) algorithm is applied to solve the dynamic optimization problem.

The proposed dynamic transportation planning method for the PCSC regarding component supplier selection, transportation planning for means, routes and schedule, site layout planning and transportation plan adjustment is able to facilitate coordination among the multiple stages by addressing their interdependencies and dynamic interactions, as well as different economic objectives of the stakeholders such as suppliers or the contractor.

The study helps to achieve the advantages of prefabricated construction by prompting coordination among multiple stages of the PCSC by realizing different benefits of the stakeholders. In addition, it provides the stakeholders with the competitive bidding prices and the evaluation data for the bids quote. Meanwhile, it contributes to the domain knowledge of the PCSC management with regard to the viewpoint of coordination and integration of multiple stages rather than only one stage as well as the dynamic optimization model based on the JIT strategy and the PSO algorithm.

The use of prefabrication has been considered as one of the most effective waste minimization methods in the construction context; however, the industry has found difficulties to implement it. Contractors lack experience in using prefabrication and they do not know how to implement prefabrication to their projects effectively. The purpose of this paper is to present the findings of a study on the implementation of prefabrication in the context of different project types and procurement approaches.

This paper examines possible project types and procurement methods to maximally gain benefits of using prefabricated building components. A questionnaire survey and structured interviews have been conducted.

From the results, it should be noted that residential projects and design and build procurement methods are the most effective project types and procurement methods, respectively, in using prefabrication. In the interview discussion, one of the governmental employees highlighted that about 65 percent of projects are residential projects. The high supply of residential housing suits fast population growth in Hong Kong. The interviewee also explained that shortening construction period is one of the main goals in their projects. Furthermore, an interviewed main contractor highlighted that the involvement of contractors at the early design stage in a project can bring advantages in considering construction methods before project commencement on site and to improve project constructability. An interviewed subcontractor also explained that the involvement of construction organizations in the design stage can effectively improve the use of prefabrication in major activities including concreting, plastering and formworking, rather than wet‐trade construction activities. Therefore, the use of standardized designs and prefabricated building components are highly encouraged.

This brings early considerations and suggestions to project parties to improve prefabrication implementation. The effects of prefabrication implementation are also considered.

Project scheduling plays an essential role in the implementation of a project due to the limitation of resources in practical projects. However, the existing research tend to focus on finding suitable algorithms to solve various scheduling problems and fail to find the potential scheduling rules in these optimal or near-optimal solutions, that is, the possible intrinsic relationships between attributes related to the scheduling of activity sequences. Data mining (DM) is used to analyze and interpret data to obtain valuable information stored in large-scale data. The goal of this paper is to use DM to discover scheduling concepts and obtain a set of rules that approximate effective solutions to resource-constrained project scheduling problems. These rules do not require any search and simulation, which have extremely low time complexity and support real-time decision-making to improve planning/scheduling.

The resource-constrained project scheduling problem can be described as scheduling a group of interrelated activities to optimize the project completion time and other objectives while satisfying the activity priority relationship and resource constraints. This paper proposes a new approach to solve the resource-constrained project scheduling problem by combining DM technology and the genetic algorithm (GA). More specifically, the GA is used to generate various optimal project scheduling schemes, after that C4.5 decision tree (DT) is adopted to obtain valuable knowledge from these schemes for further predicting and solving new scheduling problems.

In this study, the authors use GA and DM technology to analyze and extract knowledge from a large number of scheduling schemes, and determine the scheduling rule set to minimize the completion time. In order to verify the application effect of the proposed DT classification model, the J30, J60 and J120 datasets in PSPLIB are used to test the validity of the scheduling rules. The results show that DT can readily duplicate the excellent performance of GA for scheduling problems of different scales. In addition, the DT prediction model developed in this study is applied to a high-rise residential project consisting of 117 activities. The results show that compared with the completion time obtained by GA, the DT model can realize rapid adjustment of project scheduling problem to deal with the dynamic environment interference. In a word, the data-based approach is feasible, practical and effective. It not only captures the knowledge contained in the known optimal scheduling schemes, but also helps to provide a flexible scheduling decision-making approach for project implementation.

This paper proposes a novel knowledge-based project scheduling approach. In previous studies, intelligent optimization algorithm is often used to solve the project scheduling problem. However, although these intelligent optimization algorithms can generate a set of effective solutions for problem instances, they are unable to explain the process of decision-making, nor can they identify the characteristics of good scheduling decisions generated by the optimization process. Moreover, their calculation is slow and complex, which is not suitable for planning and scheduling complex projects. In this study, the set of effective solutions of problem instances is taken as the training dataset of DM algorithm, and the extracted scheduling rules can provide the prediction and solution of new scheduling problems. The proposed method focuses on identifying the key parameters of a specific dynamic scheduling environment, which can not only reproduces the scheduling performance of the original algorithm well, but also has the ability to make decisions quickly under the dynamic interference construction scenario. It is helpful for project managers to implement quick decisions in response to construction emergencies, which is of great practical significance for improving the flexibility and efficiency of construction projects.

The paper aims to study screening design and construction technologies of skyscrapers. Skyscraper projects provide an illustration of important driving factors (e.g. economies of scale and international expertise) when utilising a wide range of solutions, including innovative ones, in the design and construction of building systems and subsystems. The need exists for a methodology for the speedy screening and comprehensive evaluation of candidate solutions covering the complete spectrum of systems that comprise a building project and that have an impact on life cycle performance. Presented in this paper is a three-step evaluation framework directed at meeting this need, along with application of the first step to three case studies performance.

Research objectives were achieved by an extensive literature review of the current state-of-the-art evaluation tools and criteria; formulation of a three-step evaluation process for screening and ranking candidates; identification and structuring of comprehensive checklists of evaluation criteria; application of the first step of the evaluation framework to three case studies to gauge completeness and ease of use; and assessment of the framework by experienced practitioners.

The framework proposed provides a structured and transparent approach to assessing design/construction choices. It makes explicit the spectrum of criteria to be considered when assessing their feasibility. Feedback from industry professionals indicates that the framework is reflective of industry needs.

The originality and value of the approach lies in the comprehensiveness of the criteria considered, their relevance to signature building projects that draw on international expertise and technologies and their relevance to all phases of the project life cycle.

This study examines spatial layouts and sustainable features of vernacular houses in southern Vietnam to apply the lessons learned to the development of a contemporary housing design. This study proposes hypothetical low-rise street-house models popular in contemporary urban Vietnam by applying the spatial and ecological lessons learned from the analysis.

In total, 23 well-preserved vernacular houses in Dong Hoa Hiep – an 18th century village in the Tien Giang Province – were chosen for a 2-month, on-site investigation. During the field survey, the houses were measured to fabricate scale drawings for detailed analysis, and photographs were taken.

An in-depth evaluation highlighted unique characteristics of spatial compositions, sustainable features, and architectural components that contribute to climate adaptive strategies.

Although numerous potential arrangements of the models are possible, a few examples are illustrated to validate that the assembly could help achieve a dynamic streetscape for street houses.

From this perspective, vernacular houses in Vietnam are a rich architectural resource and a significant cultural heritage, because these houses have adopted sustainable design strategies suitable for the local climate and culture to ensure comfort and well-being for a long time. Perhaps, sustainable lessons drawn from Vietnam's indigenous houses are a prerequisite to developing contemporary housing in the country.

Employing the lessons learned from vernacular houses, this study developed three sustainable prototypical designs for the development of contemporary street houses in densely populated cities in Vietnam.

The core of this paper is a reproduction of a study published in 1911 by Clark and Wyatt entitled “Scientific management as applied to women’s work”. The paper is significant because it provides a very early eyewitness “warts‐and‐all” account of scientific management as applied to women’s labor. It is also of interest because Frederick Taylor both read the work and corresponded with one of the authors. Hence it provides a rare insight into Taylor’s ideas regarding gender relations and the place of women in industry.