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This paper examines how the altering nature of planning decisions affects operational efficiency in seaport container terminals. The uncertainty and the role of the planner were investigated considering the dynamic integrated planning function of the quay to yard interface.

A system dynamics model has been built to illustrate the integrated dynamic environment. Data collection was conducted at a leading container terminal at a hub port. The model was simulated for different scenarios to derive findings.

The planner has been identified as the agent who makes alterations between the initial operational plan and the actual plan. The initial plan remains uncertain even when there is no impact from crane breakdowns, requiring a significant number of alterations to be made. The planner who had worked on the yard plan had altered (approximately 45%) the initial plan than the alterations done by the planner who had worked on the vessel plan. As a result, the feedback loop that is created by the remaining moves at each hourly operation influences the upcoming operation as much as crane breakdowns influence.

The uncertainty and the role of the planner were investigated considering the dynamic integrated planning function of the quay to yard interface. The findings of this study are significant since terminal efficiency is examined considering the quayside and landside as an integrated system.

A problematic issue for new approaches to prefabricated timber construction is simply that there is insufficient productivity measurement data to assist estimation of resource usage, speed onsite and best practice. A lack of information potentially results in increased pricing behaviour which may slow the uptake of prefabricated construction. The purpose of this paper is to measure installation productivity onsite for prefabricated timber floor cassette panels and develop sufficient understanding of the process to suggest improved practices.

A time and motion approach, paired with time-lapse photography was used for detailed capture of prefabricated cassette flooring installation processes onsite. An emphasis was placed on work flow around crane cycles from three case study projects. Time and date stamping from 300 crane cycles was used to generate quantitative data and enable statistical analysis.

The authors show that crane cycle speed is correlated to productivity including gross and net crane time scenarios. The latter is refined further to differentiate uncontrolled outlying crane cycles from normally distributed data, representing a controlled work process. The results show that the installation productivity rates are between 69.38 and 123.49 m²/crane-hour, based on normally distributed crane cycle times. These rates were 10.8–26.1 per cent higher than the data set inclusive of outlier cycles. Large cassettes also proved to be more productive to place than small.

The contribution of this research is the focus on cranage as the lead resource and the key unit of measure driving installation productivity (in cassette flooring prefabricated construction), as distinct from past research that focuses on labour and craft-based studies. It provides a different perspective around mechanisation, for resourcing and planning of work flow. Crane cycles provide a relatively easy yet reliably repeatable means for predicting productivity. The time-lapse photographic analysis offers a high degree of detail, accuracy and objectivity not apparent in other productivity studies which serves to enable quantitative benchmarking with other projects.

This study aims to present a novel approach of using technology trends to trigger product ideas. It is primarily addressed to product ideation where limited applied approaches are available.

The model is built by extending the theoretical framework of ideation study. It comprises morphological analysis with product breakdown as primary and technological trends as a secondary dimension to prompt product ideas from user’s intuition. The approach is multidisciplinary using insights from the areas of cognition, management strategy and project management. The model is further tested in two different test configurations with university students (n = 81).

The results indicate that this systematic model can increase the quality and number of ideas generated by the students compared to generally practised approaches. It is shown that this approach increases the chances of triggering ideas.

The testing of the present model is comprehensive and in no means exhaustive.

Because of the shrinking product life cycle, organisations have a need for systematic product ideation models that can assist in innovating their product ranges. It is important to study idea generation for products to not only assist product innovation but also comprehensively understand the process of creativity. The proposed model is primarily addressed to product innovation projects where limited practical tools are available for product ideation. The present model is easy to apply and has the tendency to generate novel product ideas that can lead to successful product innovations.

Product innovation currently has limited systematic ideation tools where this study contributes.

Key issues of the application of modelling and simulation for the management of the Malaysian Kelang Container Terminal are discussed. The aim of the investigation is to improve the logistics processes at the port. The model simulates all processes required to operate the seaport efficiently and provides detailed statistics on the seaport through‐put and utilisation characteristics with a high level of accuracy. The quay cranes allocation, the resources allocations and the scheduling of the different operations are modelled to maximise the performance of the port. The assignment of prime movers to transport containers to a yard area is also considered.

The aim of the present study is to overcome some of the limitations of the FMEA method by presenting a theoretical base for considering risk evaluation into its assessment methodology and proposing an approach for its implementation.

Fuzzy AHP is used to calculate the weights of the likelihood of occurrence (O), severity (S) and difficulty of detection (D). Additionally, the prospect-theory-based TODIM method was integrated with fuzzy logic. Thus, fuzzy TODIM was employed to calculate the ranking of potential failure modes according to their risk priority numbers (RPNs). In order to verify the results of the study, in-depth interviews were conducted with the participation of industry experts.

The results are very much in line with prospect theory. Therefore, practitioners may apply the proposed method to FMEA. The most crucial failure mode for a firm's attention is furnace failure followed by generator failure, crane failure, tank failure, kettle failure, dryer failure and operator failure, respectively.

The originality of this paper consists in integrating prospect theory with the FMEA method in order to overcome the limitations naturally inherent in the calculation of the FMEA's RPNs.

Industrialized construction (IC) has been recognized as a game-changing approach in Hong Kong (HK). However, the increasing risks of disruptions in IC supply chains (SCs) raise SC vulnerability levels, prompting attention to developing supply chain resilience (SCR). Since SCR is only attainable through overcoming critical supply chain vulnerabilities (CSCV) with enhanced SC capabilities, this study first aimed to determine the most CSCV of ICSCs by addressing this current research gap and practical need.

Drawing on SCV factors identified from a precursor literature review, an empirical study of IC in HK was conducted using a questionnaire survey and interviews with industry experts. Focussed significance analysis of the data collected through questionnaire survey enabled the selection of 26 CSCV as appropriate to IC. Next, factor analysis was conducted, enabling the grouping of these CSCV under five components. The results were verified and reinforced by interview findings.

The results revealed 26 CSCV pertinent to resilient ICSCs in HK with five underlying components: economic, technological, procedural, organizational and production-based vulnerabilities. Loss of skilled labour is the most critical vulnerability, whereas organizational SCV is the most critical component identified.

Findings of this study would motivate IC project professionals to appreciate and address the CSCV in the context of five components and thereby develop adequate specific capabilities to successfully withstand these CSCV. This should trigger future studies to map CSCV with appropriate capabilities in developing an envisaged powerful assessment model for evaluating the SCR in IC in HK.

Industrialized construction (IC) has accelerated the technological advancements of construction supply chains (SCs) in Hong Kong (HK). However, the usually fragmented IC SCs often lead to friction and turbulence that retard their performance. Streamlining these workflows call for resilient SCs that can proactively overcome various vulnerabilities and avoid disruptions. Having identified supply chain capabilities (SCC) as essential precursors to supply chain resilience (SCR), this paper reports on a vital segment of a study on SCC for IC in HK that focused here on critical SCC (CSCC). Specifically, this paper aims at identifying and probing the CSCC for improving SCR in IC in HK.

After drawing on the plentiful relevant literature, an empirical study using a questionnaire survey and interviews was conducted following the multi-stage methodological framework of this study. Relevant significance analysis of the collected data enabled the selection of CSCC. Next, factor analysis facilitated grouping them under nine underlying components.

The results reveal 41 CSCC pertinent to achieve resilient SCs in IC in HK under critical capability components of resourcefulness, flexibility, capacity, adaptability, efficiency, financial strength, visibility, anticipation and dispersion.

It is expected that industry practitioners would benefit from prior knowledge of CSCC and their levels of criticalities, so as to prioritize integrating them suitably into SC processes, to develop value-enhanced-resilient SCs. Further, these findings lay the foundations for developing a powerful evaluation model to assess, then improve, SCR in IC in HK by mapping the identified CSCC with relevant critical vulnerabilities, based on study outcomes.

In investigating a principal area of a certain African country's total distribution network, viz the cargo handling operations within its main Port, a logistics systems model was used as a basis of the research design to measure the current cargo handling performance. In this article, the reader is taken step‐by‐step through the research method, data collection and analysis, hopefully to demonstrate the practical application of the model and the implications for its further use.

Prefabricated construction is often hindered by scheduling delays. This paper aims to propose a schedule delay prediction model system, which can provide the key information for controlling the delay effects of risk-related factors on scheduling in prefabricated construction.

This paper combines SD (System Dynamics) and BP (Back Propagation) neural network to predict risk related delays. The SD-based prediction model focuses on dynamically presenting the interrelated impacts of risk events and activities along with workflow. While BP neural network model is proposed to evaluate the delay effect for a single risk event disrupting a single job, which is the necessary input parameter of SD-based model.

The established model system is validated through a structural test, an extreme condition test, a sensitivity test, and an error test, and shows an excellent performance on aspect of reliability and accuracy. Furthermore, 5 scenarios of case application during 3 different projects located in separate cities prove the prediction model system can be applied in a wide range.

This paper contributes to academic research on combination of SD and BP neural network at the operational level prediction, and a practical prediction tool supporting managers to take decision-making in a timely manner against delays.

Team‐based reward plans are growing rapidly on both sides of the Atlantic. Uses the case of a gainsharing plan in one of Nuclear Electric′s power stations to demonstrate the importance of three factors in ensuring success. Effective team‐based plans need to: (1) relate to clearly defined business and HR goals; (2) be introduced as part of a more general, high involvement management approach; (3) reinforce the nature and types of teamworking required in the organization. Designed and operated in this way, team‐based reward plans represent a significant opportunity for companies to maximize the utilization of their human resources.