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The purpose of this paper is to present a comprehensive analysis on how the advanced work packaging (AWP) managerial paradigm could be advanced by incorporating and integrating the post-construction commissioning and startup (CSU) phases.

This study was implemented with the support of consolidated knowledge from industry subject matter experts and an exhaustive literature review to provide a knowledge foundation for the developments. The findings were further validated and strengthened by external subject matter experts.

A new operating system-oriented work package, systems work package (SWP), is devised with a set of definitions and models of how it relates to AWPs with three-dimensional visualizations. SWP-related constraints, key roles and responsibilities are thoroughly investigated.

A new SWP concept would pose potential challenges for its adoption because of inherent organizational culture and hesitation to change. A systematic reorganization of existing practices is considered as a key strategy to alleviate the limitation, and short- and long-term validity of SWP is currently being investigated by organizations.

This research provides practical implementation strategies on CSU integration which lead to benefits including: better alignment and collaboration of stakeholders, reduced costs for associating AWPs to SWP and improved predictability.

AWP-related studies have primarily focused on the construction phase, with minimal integration of CSU considerations. Highlighting the importance of the philosophy “start with the end in mind,” this research describes how the AWP managerial paradigm can be expanded to include CSU, by placing a strong emphasis on understanding CSU priorities, sequences and constraints.

The purpose of this paper is to develop a novel analytical approach for workface planning practice in industrial-construction sector such that the construction work package (CWP) resource budget can be sufficiently planned for delivering possible field installation work package (FIWP) schedules with work uncertainty.

The relationship between CWP resource budget and FIWP schedules is first elucidated based on workface planning practice. The literature of work packaging, workface planning and project scheduling is reviewed. A novel analytical approach is then developed to quantify CWP resource budget based on a probability theory, in consideration of the probability of occurrence of feasible FIWP schedules formulated based on a resource scheduling approach. The results of case studies given by the new approach are cross validated by using simulation and optimization techniques.

The new analytical approach can assist workface planning by quantifying the expected CWP resource budget to deliver the FIWP work scope with certain activities that are planned at project level and with uncertain activities that are found at workface level.

The new analytical approach helps project and workface planners to reliably deploy CWP resource budget for delivering FIWP schedules instead of guessing the budget based on experience. An industrial-construction project for upgrading oil-sands refinery facility is used to show the practical implications.

This research develops a new analytical approach for workface planning practice to determine sufficient CWP resource budget for delivering feasible FIWP schedules with work uncertainty.

In many developing countries, the sanitation sector constitutes a major part of their strategic plans of reform. Yet with the very limited budget of the public treasury, countries opt to major lending institutions for funds. “Results-Based-Finance” is a new funding mechanism that has proven its efficiency in achieving the necessary reform in sanitation sectors. Due to the complexity of the funding tool, it is crucial to be able to decompose the project into smaller packages to be able to effectively control the project. The objective of this paper is to reach an optimum packaging scheme that enables the project to be successfully managed through better planning and cost control practices.

With the aid of Unified Modelling Language (UML), an algorithm is developed to map the logic behind the model suggested with detailed illustrations of its different modules. Object-oriented processes and operations are modeled using different diagrams of the language, which automatically generate the optimum packaging combination. The packaging model is then implemented via a number of computer-aided programs. The Microsoft Excel 2019 is used for calculation purposes. Visual Basic for Applications (VBA) programming language is used to make the model user-friendly for non-engineering stakeholders. The Palisade's Decision Tools Suite is used for the optimization process

The model is validated through a case study of a mega sanitation project located in Egypt. The model output is not only the content of the packages but also a complete managing plan which demonstrates many useful information to the decision-makers and government officials.

The research aim is to provide the construction industry with a tool that makes the packaging process of mega projects funded through the “Results-Based-Finance” mechanism, done in an automated manner. Moreover, the packages are selected in a way to optimize the project cashflow. Having the optimum package size shall ensure better planning and a more accurate cost control. Yet it is a challenging task; especially, when the project cash flow is very sensitive and intolerant to delays like in the “Results-Based-Finance” mechanism.

The architecture, engineering and construction industry is known to account for a disproportionate rate of disabling injuries and fatalities. Information technologies show promise for improving safety performance. This paper aims to describe the current state of knowledge in this domain and introduces a framework to integrate attribute-level safety risk data within existing technologies for the first time.

The framework is demonstrated by integrating attribute safety risk data with information retrieval, location and tracking systems, augmented reality and building information models.

Fundamental attributes of a work environment can be assigned to construction elements during design and planning. Once assigned, existing risk and predictive models can be leveraged to provide a user with objective, empirically driven feedback including quantity of safety risk, predictions of safety outcomes and clashes among incompatible attributes.

This framework can provide designers, planners and managers with unbiased safety feedback that increases in detail and accuracy as the project develops. Such information can support prevention through design and safety management in advanced work packaging.

The framework is the first to integrate empirical risk-based safety data with construction information technologies. The results provide users with insight that is unexpected, counter-intuitive or otherwise thought-provoking.

The unstable labor productivity and periodic planning method cause barriers to improving construction logistics management. This paper aims to explore a demand-driven mechanism for efficient construction logistics planning to record the material consumption, report the real-time demand and trigger material replenishment from off-site to on-site, which is aided by Building Information Modeling (BIM) and the Kanban technique.

This paper follows the design science research (DSR) principles to propose a system of designing and applying Kanban batch with 4D BIM for construction logistics planning and monitoring. Prototype development with comparative simulation experiments of a river remediation project is conducted to analyze the conventional and Kanban-triggered supply. Two-staged industrial interviews are conducted to guide and evaluate the system design.

The proposed BIM-enabled Kanban system enables construction managers and suppliers to better set integrated on- and off-site targets, report real-time demands and conduct collaborative planning and monitoring. The simulation results present significant site storage and schedule savings applying the BIM-enabled Kanban system. Feedback and constructive suggestions from practitioners are collected via interviews and analyzed for further development.

This paper brings to the limelight the benefits of implementing BIM-enabled demand-driven replenishment to remove waste from the material flow. This paper combines lean production theory with advanced information technology to solve construction logistics management problems.

The purpose of this study is to ascertain and list the most effective management strategies in efficiently handling the project complexities to enhance the performance of the project.

To fulfill the aim of this study, a comprehensive literature review was conducted, and the qualitative Delphi technique in two rounds was applied. Participants of the Delphi technique consisted of 12 subject matter experts (SMEs) with cumulative experience of 250 years in working in construction projects. In the first round of the Delphi technique, SMEs were asked to provide complexity management strategies to address the complexities due to 37 complexity indicators (CIs) under 11 complexity categories. In the second round of the Delphi technique, SMEs identified the top three management strategies for each of the 37 CIs.

This study collected the outcome of the two-round Delphi technique and based on the output developed the list of strategies to manage complexities related to each indicator. For example, establishing a well-informed governance team, assigning a Project Manager (PM) when the number of projects is more than one in an organization, and assigning a PM efficient enough to communicate with higher authority effectively will help in managing complexity that arises due to faulty assessment of the influence of a project on the organization’s overall success.

This study will help practitioners in effectively managing the project complexities, and thus will reduce the monetary loss associated with project complexities.

Building information modelling (BIM) and radio frequency identification (RFID) technologies have been extensively explored to improve supply chain visibility and coordination of material flow processes, particularly in the pursuit of Industry 4.0. It remains challenging, however, to effectively use these technologies to enable the precise and reliable coordination of material flow processes. This paper aims to propose a new workflow designed to include the use of detailed look-ahead plans when using BIM and RFID technologies, which can accurately track and match both the dynamic site needs and supply status of materials.

The new workflow is designed according to lean theory and is modeled using business process modeling notation. To digitally support the workflow, an integrated BIM-RFID database system is constructed that links information on material demands with look-ahead plans. The new workflow is then used to manage material flows in the erection of an office building with prefabricated columns. The performance of the new workflow is compared with that of a traditional workflow, using discrete event simulations. The input for the simulations was derived from expert opinion in semi-structured interviews.

The new workflow enables contractors to better observe on-site status and differences between the actual and planned material requirements, as well as to alert suppliers if necessary. The simulation results indicate that the new workflow has the potential to reduce the duration of the material flow processes by 16.1% compared with the traditional workflow.

The new workflow is illustrated using a real-world-like situation with input data based on expert opinion. Although the workflow shows potential, it should be tested on a real-world site.

The new workflow allows project participants to combine detailed near-term look-ahead plans with BIM and RFID technologies to better manage material flow processes. It is particularly useful for the management of engineer-to-order components considering the dynamic site progress.

The research improves on existing research focused on using BIM and RFID technologies to improve material flow processes by showing how the workflow can be adapted to use detailed look-ahead plans. It reinforces data-driven construction material management practices through improved visibility and reliability in planning and control of material flow processes.