In the construction industry there are several problems that negatively impact the environment from the process of obtaining materials, the construction of buildings and their use. That is why the bibliographic review research analyzes the use and application of the hemp-based brick with the support of the Scopus database and the VOSviewer software as data analytics, the characteristics of the brick were taken into account as well As an air pollution purifier, humidity reduction and thermal insulation, graphs related to these characteristics were obtained, highlighting the words with the highest frequency in the research, countries that published and bibliometric maps worldwide. The results help us determine that there is an application of this brick in countries with the greatest needs and growth and also in potential countries, however we believe that in Peru there is no analysis or interest in this brick. This hemp-based brick has positive advantages for the environment and is potentially ecological from the beginning of obtaining the materials, used in the construction of houses and then as waste, in these three phases it contributes to the environment. The purpose of the research is to be the beginning for future investments and research related to the hemp-based brick applied in the construction industry and the other objective is to motivate professionals to use and apply this brick that will have benefits for the environment.

This bibliographical review allows us to know clearly and concisely the use and effectiveness of photocatalytic concrete applied to tracks or roads, and in buildings. This study analyzes sustainable concrete based on photocatalytic to reduce the environmental impact in large-scale works through the application for the collection and review of articles published in the scientific base of Scopus using the VOSviewer software tool that analyzes a large amount of data from a group of investigations, this research is carried out from the publications of the year 2000 to the year 2022. Graphs were obtained from the database analysis with the words “Concrete”, “Photocatalytic”, “Environmental” and “Work” with the highest interest in all analysis groups. The results obtained allow us to understand the innovation of concrete based on photocatalytic in order to reduce air pollution since this need is current throughout the world, more so in globalized and rapidly growing countries, the analysis in Peru is not found no research related to the subject and there are no large-scale works related to reducing air pollution, but there are proposals to improve air quality in Lima, the capital of Peru, however this contribution is minimal to be able to positively impact the air . The manufacturing process and the materials to implement for the manufacture of concrete based on the photocatalytic were also analyzed, visualizing the advantages and disadvantages of this concrete based on the photocatalytic, adding other additional components to improve the durability of the concrete application and being viable. to apply to large-scale works. This research has the purpose of presenting a general view of the application, manufacture, advantages and disadvantages of concrete based on photocatalytic, it is important to develop and apply it in large-scale works subsidized by the Peruvian state, since these can generate a positive impact on society and the environment.

This paper aims at presenting an algorithm for solving the blocking flow shop problem with sequence dependent setup times (BFSP-SDST) with minimization of the makespan. In order to do so, we propose an adapted Bounded Dynamic Programming (BDP-SN) algorithm as solution method, since the problem itself does not present a significant number of sources in the state-of-art references and also because Dynamic Programming and its variants have been resurfacing in the flowshop literature. Therefore, we apply the modified method to two sets of problems and compare the results computationally and statistically for instances with a MILP and a B&B method for at most 20 jobs and 20 machines. The results show that BDP-SN is promising and outperforms both MILP and B&B within the established time limit. In addition, some suggestions are made in order to improve the method and employ it in parallel research regarding other branches of machine scheduling.

The Structural Equation Modeling SEM using SmartPLS.V3 software was used in this study to model the priority of CSFs of program management under four categories (program planning, strategy of the organization, stakeholders, and construction program performance) associated with Regional Development Programs RDPs in Iraqi provinces. Based on the literature review, the identified CSFs of program management have been explored through a systematic review approach. This model investigated the relationship and effect of CSFs on program management of regional development. The measurement model underwent three iterations to fulfil the threshold criterion, which included Cronbach's a being more than 0.7, CR being greater than 0.7, and AVE being more significant than 0.5. As a result, the model met the convergent validity. For every path modelling and hypothesis, the structural model is evaluated. The model produced a GoF of (0.524), regarded as sufficiently high to be considered for obtaining adequate global PLS model validity. The model's global GoF performance was also assessed, and the findings met the criteria. It is clear from the final model that there may be a connection between the main program management groups, as shown by the path model confirmed.

Tourism village development projects have become attractive to the community during the Covid 19 Pandemic and after. This condition is caused by many people in urban areas who wish to travel to natural and indigenous cultural destinations. Tourism village development is a process that emphasizes ways to develop or advance tourist villages. Village green tourism development projects through natural and cultural destinations are expected to provide sustainable village economic sustainability. The distribution of questionnaires to obtain the potential for village tourism development was determined by the project team that will develop in identifying, assigned consultants and key people from local villages, including leaders with a total of 46 respondents. Data processing looks at the relationship between village economic sustainability and village economic sustainability through natural and cultural tourism potential using partial least squares. The data processing results show that the village tourism development project has a positive effect on nature tourism potential, cultural tourism potential, and village economic sustainability by increasing the welfare of local communities. The nature tourism potential of the village, which has attractive mountains and a reliable source of agricultural products, is capable of impacting the local community's interest. Cultural tourism potential owned by the village with attractive tourist performances on a regular and well-scheduled basis and the ability of the village to show dance performances that reveal their identity can impact the village's economic sustainability. The village green tourism development project is set in the finalization stage of project planning by considering the project completion time.

Location-Routing Problem (LRP) is a strategic supply chain design problem aimed at meeting customer demands. LRPs involve selecting one or more depot sites from a set of potential locations and determining the best routes to connect them to demand points. With the rising awareness about the environmental impacts of transportation over the past years, the use of green logistics to mitigate these impacts has become increasingly important. To compensate for a gap in the literature, this paper presents a robust bi-objective mixed-integer linear programming (MILP) model for the green capacitated location-routing problem (G-CLRP) with demand uncertainty and the possibility of failure in depots and routes. The final result of this Robust Multi-Objective Model is to set up the depots and select the routes that offer the highest reliability (Maximizing network service) while imposing the lowest cost and environmental pollution. A Nondominated Sorting Genetic Algorithm (NSGA-II) is used to solve the large-sized instances of the modeled problem. The paper also provides a numerical analysis and a sensitivity analysis of the solutions of the model.

The implementation of major projects is complicated by the multiplicity of beneficiaries, owners, and all participants in the project as well as the technical overlap between the various engineering, financial and administrative works, while the specific features of the construction activity have a clear influence in shaping the nature of construction projects because the implementation processes were associated with a deep and long-term intervention in the natural environment, where construction is a burden on the environment, both in the construction phase and during the maintenance and liquidation phases: it requires depreciation of a large number of material resources. Through that, this study focused on clarifying the most important concepts of risk management and modern strategies in risk analysis and how to respond to them and monitor projects. The study then presented a questionnaire for the risks facing major projects in Egypt. Through analyzing the results of the questionnaire, a qualitative risk analysis was conducted that can be used to prioritize response to risks, in addition to conducting a Monte Carlo simulation based on theoretical foundations and providing a new process for prioritizing project risks related to sustainability, where the (Primavera Risk Analysis) program was used to clarify the impact of risks on project time and cost. All analyses are based on the theoretical background regarding risk, risk management process, and project life cycle approach in the sustainable construction sector. with the help of this study, it is possible to address ways of mitigating the harmful effects on the environment through the implementation of sustainable management in the planning of future projects and better management of current projects.

Delay is one of the most common causes of construction projects failure in Iran. The larger sizes of the projects, the more risks and costs of delays. In this paper, the causes of delays in EPC contracts of nonindustrial buildings were excavated from the related previous research and several interviews with experts of this subject, and adjusted by the brainstorming technique, Delphi and reconciling the nature of these projects. Then, a questionnaire was distributed among 52 experts working in the South Pars project, and the data were analyzed by descriptive and factor analysis methods. Descriptive analysis revealed that “Inflation and escalation of material prices and human resources salaries”, “Unrealistic contract duration and requirements imposed” and “Political situation” were the most significant delay factors. Meanwhile, factor analysis indicates that “Improper construction methods”, “Shortage of experienced and skilled labor” and “Long acceptance process (shop drawings, permits, tests and samples)” were the most important causes of delay.

In reality, the machines may interrupt because of the nature of deterioration of the machines. Thus, it is inevitable to perform maintenance alongside production planning. The preventive maintenance is a schedule of strategic operations that are performed prior to the failure occurring, to retain the system operating at the preferred level of consistency. Thus, preventive maintenance plays a significant role in flow shop scheduling models. With its practical significance, this study addresses a practical three-machine n jobs flow shop-scheduling problem (FSSP) in which machine specific preventive maintenance, where each machine is given with a maintenance schedule is considered. In addition, a practical ordered precedence constraint in which some set of jobs has to process in the specified order irrespective of their processing times is also considered. The problem’s goal is to establish the optimal job sequence and preventive maintenance such that the overall cost of tardiness and preventive maintenance is as minimum as possible. An efficient heuristic approach is designed to tackle the present model, resulting in total cost savings. A comparative analysis is not conducted due to absence of studies on the current problem in the literature. However, Computational experiments are carried out on some test instances and results are reported. The reported results may be useful for future studies.

Disruptive innovation has attracted much interest, discussion and argument in academia and industry since it was defined. Based on a review of the related research publications, this paper aims to clarify the concept of disruptive innovation on controversies, summarize ex-ante studies on project management for disruptive product innovation, and propose potential research areas of the disruptive product innovation. The ex-ante studies are classified into three aspects: timing and conditions of disruptive innovation, factors for the implementation of disruptive innovation, forecasting and implementation of disruptive innovation. After a review of the existing methods of disruptive innovation, the potential research of disruptive innovation is presented.