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Efficient management of earthmoving equipment is critical for decision-makers in construction engineering management. Thus, the purpose of this paper is to prudently identify, select, manage and optimize the associated decision variables (e.g. capacity, number and speed) for trucks and loaders equipment to minimize cost and time objectives.

This paper addresses an innovative multiobjective and multivariable mathematical optimization model to generate a Pareto-optimality set of solutions that offers insights of optimal tradeoffs between minimizing earthmoving activity’s cost and time. The proposed model has three major stages: first, define all related decision variables for trucks and loaders and detect all related constraints that affect the optimization model; second, derive the mathematical optimization model and apply the multiobjective genetic algorithms and classify all inputs and outputs related to the mathematical model; and third, model validation.

The efficiency of the proposed optimization model has been validated using a case study of earthmoving activities based on data collected from the real-world construction site. The outputs of the conducted optimization process promise the model’s originality and efficiency in generating optimal solutions for optimal time and cost objectives.

This model provides the decision-maker with an efficient tool to select the optimal design variables to minimize the activity's time and cost.

The paper's purpose is to describe and examine the level of utilisation of construction enterprise information systems (CEIS) and to identify critical success factors and benefits from their implementation.

A survey was conducted to quantify the current situation of CEIS. The population consisted of stakeholders with reliable working knowledge of their firms' information systems. Statistical tests were conducted to draw conclusions from the data.

A total of 48 per cent of the firms use enterprise resource planning packages, but only 4 per cent of these firms chose to implement the project management modules that are commercially available. Only 16 per cent of the respondents were satisfied with their current level of integration due to CEIS. There was no evidence to suggest a tendency for the integration level due to CEIS to increase together with the business geographical dispersion.

The rate of response to the survey was low (9 per cent), maybe due to the unavailability of CEIS in all the firms that were contacted. Further, research is needed to study the dynamics between management practices and their effect on CEIS adoption and level of integration.

Integration efforts and software that are currently in use still do not fully address the concerns of industry practitioners. Associations found between the level of integration and project characteristics can be used to help IT stakeholders decide on the CEIS functions to adopt.

The strategic, operational and organizational benefits found from the implementation of CEIS are based on current data obtained from a targeted survey of construction related firms.

Due to technological improvement and development of the vehicle-to-home (V2H) concept, electric vehicle (EV) can be considered as an active component of net-zero energy buildings (NZEBs). However, to achieve more dependable results, proper energy analysis is needed to take into consideration the stochastic behavior of renewable energy, energy consumption in the building and vehicle use pattern. This study aims to stochastically model a building integrating photovoltaic panels as a microgeneration technology and EVs to meet NZEB requirements.

First, a multiobjective nondominated sorting genetic algorithm (NSGA-II) was developed to optimize the building energy performance considering panels installed on the façade. Next, a dynamic solution is implemented in MATLAB to stochastically model electricity generation using solar panels as well as building and EV energy consumption. Besides, the Monte Carlo simulation method is used for quantifying the uncertainty of NZEB performance. To investigate the impact of weather on both energy consumption and generation, the model is tested in five different climatic zones in Iran.

The results show that the stochastic simulation provides building designers with a variety of convenient options to select the best design based on level of confidence and desired budget. Furthermore, economic evaluation signifies that investing in all studied cities is profitable.

Considering the uncertainty in building energy demand and PV power generation as well as EV mobility and the charging–discharging power profile for evaluating building energy performance is the main contribution of this study.

The purpose of this study is to get a clearer knowledge of the reasons for, approaches to and challenges associated with integrating sustainable development concerns into pipeline construction projects in New Zealand. To achieve this, this study delves deeply into sustainable construction to understand the reasons behind and incorporate sustainable development trials into their newly established product management and development procedure. As a result, this study looks at identifying key elements of sustainable construction practices and various interpretations of sustainability in the construction industry; offering a strategy for incorporating sustainable construction practices into the pipeline construction project in New Zealand; and benefits and difficulties that the construction industry encounters when implementing sustainable construction. Finally, a framework is developed to help in understanding the issues and potential solutions for integrating sustainable building methods into the pipeline construction project in New Zealand.

This study followed a four-step method (Figure 1), beginning with the identification of the data, continuing with the first screening of the data, determining eligibility and, finally, including the data. This data collection is being done to provide knowledge and direction for further research. Data were collected from various websites on the Web of Science and from Scopus databases. Additionally, data were gathered with the assistance of aggregator databases such as Scopus (scopus.com) and publishing databases such as Elsevier (sciencedirect.com), Inderscience, Taylor and Francis (tandfonline.com), Emerald Insight (emeraldinsight.com) and Google Scholar. These databases have been considered by a number of scholars to be reputable databases.

This research provided a thorough description of the key justifications for sustainable construction. This study demonstrated how the idea worked in practice by reviewing the literature on the relevance and analysis of sustainability in construction. This body of research identified crucial components of sustainable construction techniques and varied interpretations of sustainability in the construction industry. To better grasp the current application considerations in the construction sector, it also offered literature on sustainable construction methods. To determine the most effective strategy to make certain adjustments to the current construction processes, the literature also includes a wide range of sustainability-related topics in both developed and developing country contexts. This study also demonstrated the many perspectives and strategies for sustainable behaviors. Because the purpose of this study was to develop a strategy for implementing sustainable construction in New Zealand, it was of the utmost importance to shed light on the most well-known and prominent sustainable construction applications from across the world. The output of this aim provided the literature on construction practices to acquire insight into the ongoing conversations on sustainable practices and systems in the construction industry. This was done to obtain insight into the existing talks.

This research's contribution to the body of knowledge is demonstrated by the fact that this study has led to a better understanding of sustainable construction practices in the construction industry as well as the identification of the most significant challenges that businesses, organizations, educators and policymakers must face to improve their ability to put these strategies into practice. This research has provided a solid foundation for future research that aims to advance knowledge in this field by providing options for future research to evaluate the influence that the approach has had on enhancing the implementation of sustainable construction. Additionally, this study presents options for future research to evaluate the influence the approach has had on improving the implementation of sustainable construction. The successful completion of the research aim in the more traditional forms of higher education in the built environment can contribute to a better representation of new trends in the practice area associated with expanding and improving the construction industry sustainably.

There is low adoption rate of existing environmentally sustainable construction frameworks. Contractors have dwindled capability to adapt to environmentally sustainable construction (ESC) towards achievement of SDGs. The aim of this paper is to develop a framework that leverages both theoretical and practical aspects of sustainable construction to enable contractors' adaptation to ESC at the micro level.

Due to the social constructivism orientation of the objectives of this research, abductive approach and qualitative research strategy were adopted. Data were obtained through interviews and validation focus group discussion. Content analysis and thematic template analyses techniques were employed to conduct qualitative data analyses.

There are peculiar ESC barriers that need to be overcome by contractors in the study area. Legislative and financing efforts of stakeholders are key contractors' ESC adaptation drivers. Contractors in less affluent societies, such as Ghana, require high resilience, dense and centralized social network structures and isomorphic and coercive drivers to be able to adapt to ESC.

The scope of this research is limited to the data gathered from large construction firms in Ghana, a developing country in the sub-Saharan region.

This is one of the first papers that provide guidelines on developing capability of contractors in a developing country to adapt to ESC. The paper addresses the challenge in the ecological modernization theory by adducing empirical evidence to prescribe guidelines on how contractors can increase rate of efficiency through collaborative strategies that engender ESC.