An Integrated Methodology for Enhancing Reverse Logistics Flows and Networks in Industry 5.0

Background: This paper explores the potential of Industry 5.0 in driving societal transition to a circular economy. We focus on the strategic role of reverse logistics in this context, underlining its significance in optimizing resource use, reducing waste, and enhancing sustainable production and consumption patterns. Adopting sustainable industrial practices is critical to addressing global environmental challenges. Industry 5.0 offers opportunities for achieving these goals, particularly through the enhancement of reverse logistics processes. Methods: We propose an integrated methodology that combines binary logistic regression and decision trees to predict and optimize reverse logistics flows and networks within the Industry 5.0 framework. Results: The methodology demonstrates effective quantitative modeling of influential predictors in reverse logistics and provides a structured framework for understanding their interrelations. It yields actionable insights that enhance decision-making processes in supply chain management. Conclusions: The methodology supports the integration of advanced technologies and human-centered approaches into industrial reverse logistics, thereby improving resource sustainability, systemic innovation, and contributing to the broader goals of a circular economy. Future research should explore the scalability of this methodology across different industrial sectors and its integration with other Industry 5.0 technologies. Continuous refinement and adaptation of the methodology will be necessary to keep pace with the evolving landscape of industrial sustainability.<br/

Efficiency Analysis of the Photovoltaic Systems for Carbon Footprint Reduction (Case Study: University of East London)

The current energy crisis has shifted human efforts towards looking for and using renewable energy sources. One of the well-known of these, is the solar energy. The two well-known harvesting systems are PV and solar thermals. This paper tries to reflect the Photovoltaic systems in general in first instant. Furthermore it considers the efficiency analysis of the PVs by means of RETScreen 4 software. The case study chosen for this paper is University of East London located in London, England. The analysis is based on the RETScreen library and NASA related location statistics

Constructing gene regulatory networks from microarray data using non-Gaussian pair-copula Bayesian networks

Many biological and biomedical research areas such as drug design require analyzing the Gene Regulatory Networks (GRNs) to provide clear insight and understanding of the cellular processes in live cells. Under normality assumption for the genes, GRNs can be constructed by assessing the nonzero elements of the inverse covariance matrix. Nevertheless, such techniques are unable to deal with non-normality, multi-modality and heavy tailedness that are commonly seen in current massive genetic data. To relax this limitative constraint, one can apply copula function which is a multivariate cumulative distribution function with uniform marginal distribution. However, since the dependency structures of different pairs of genes in a multivariate problem are very different, the regular multivariate copula will not allow for the construction of an appropriate model. The solution to this problem is using Pair-Copula Constructions (PCCs) which are decompositions of a multivariate density into a cascade of bivariate copula, and therefore, assign different bivariate copula function for each local term. In fact, in this paper, we have constructed inverse covariance matrix based on the use of PCCs when the normality assumption can be moderately or severely violated for capturing a wide range of distributional features and complex dependency structure. To learn the non-Gaussian model for the considered GRN with non-Gaussian genomic data, we apply modified version of copula-based PC algorithm in which normality assumption of marginal densities is dropped. This paper also considers the Dynamic Time Warping (DTW) algorithm to determine the existence of a time delay relation between two genes. Breast cancer is one of the most common diseases in the world where GRN analysis of its subtypes is considerably important; Since by revealing the differences in the GRNs of these subtypes, new therapies and drugs can be found. The findings of our research are used to construct GRNs with high performance, for various subtypes of breast cancer rather than simply using previous models

Litmus Tests for Comparing Memory Consistency Models: How Long Do They Need to Be?

Even though the general problem of comparing two memory models is infeasible, in this paper we show that checking the equivalence of two memory models becomes feasible when we consider a more restricted class of memory models. We define a class of memory models that is expressive enough to include most known hardware memory models, and we establish a bound of two threads and no more than six memory access instructions for contrasting litmus tests in this class of models. Thus, we can compare memory models in this class by checking a small number of litmus tests. We build a tool for comparing memory models based on this theorem and use the tool to explore and map the space of this class of models

The predicaments of Environmental Impact Assessment (EIA) for Transport Infrastructure : An examination of policy stagnation and progress

Purpose – Environmental Impact Assessment (EIA) for transport infrastructure, should take into account geological constraints, legislative regulations, public policy, and other strategic considerations. These strategic considerations and constraints that are often seen as the most challenging issues facing transportation planners are critically reviewed. Subsequently, the evolving environmental impacts of civil transport infrastructure projects are measured. Design/methodology/approach – Using a mixed-method approach, this study examines the EIA and Environmental Impact Statement (EIS) dimensions of transportation infrastructure. Findings – Through the development of the EIA and EIS policy framework for transport infrastructure, this paper found that to better enhance the EIA and to effectively calculate various indicator variables, a hybrid approach to the method, known as input-output analysis, needs to be adopted. Knowing that a feasible cost breakdown is usually available within projects, it can be concluded that it is plausible to add an I-O model into an existing environmental impact statement to obtain results not only for onsite effects but also for off-site effects. Moreover, some of the benefits of implementing a hybrid input-output analysis can (1) significantly improve the completeness of any conventional EIS for a range of quantifiable indicators, (2) improve the ability to rank alternative options, and (3) provide a valuable overview of indirect impacts to be used for streamlining the EIA audit. For these reasons, input-output techniques could be incorporated as optional elements into the EIA standards. Practical implications - With input from the Australian Bureau of Statistics (ABS) and national input-output tables of the industry sector, this research was able to determine that indirect effects within transport projects are not being considered for what they are worth. This enables to answer key questions dealing with the effects of EIAs on the transportation sector. This in turn can assist with planning through the commissioning of such projects. Originality/value - The I-O model introduced in this paper will ultimately lead to better incorporation of various environmental elements. The findings of the paper can thus assist transportation planners in better aligning environmental impacts with EIA. This in turn can result in improvements in the completeness of any conventional EIS, enhance the ability to rank alternative options and provide a valuable overview of indirect impacts to be used for streamlining the EIA audit

Reflections on the need for an improved quantitative modeling approach

There are common elements in different sustainability models regardless of their application that can be applied to almost any system. Some of the existing models try to establish a quantitative approach to assess sustainability, some reflect the changes of the target systems through longitudinal evaluations on case studies and many of the models illustrate the concept using a descriptive breakdown. This paper tries to find the common elements used in the important existing sustainability models by comparing the models using a comparison framework. These elements will be later become the components of a system model. This system model is represented using Complex Adaptive Systems and Systems‟ theories and also quantitative modelling techniques in order to eliminate some of the dilemmas in the existing sustainability modelling

The knock-on effects of green buildings : High-rise construction design implications

PurposeThe aims and objectives of this research are to establish whether or not the transition into green building in high-rise construction is practical. This is after considering several perspectives including financial, economic, environmental, and social. This subsequently leads to an evaluation on whether or not the continuation with a standard conventional build of high-rise buildings remains to be the most feasible option. Such objectives, therefore, aim to allow for validation of how and why high-rise construction designs are impacted through green buildings effects.Design/methodology/approachThrough six defined steps, the methodology commences with an introductory section of what it means to build green. This section is further broken down to evaluate what factors are involved in constructing a green building. Furthermore, the life cycle energy (LCE) is used as a framework to evaluate the knock-on effects of green buildings and subsequent high-rise construction design implications.FindingsThrough defining the ongoing relationship of green materials and sustainable design, various implications for high-rise constructions were discovered. First and foremost, it was determined that the LCE is the central consideration for any high-rise building design. In evaluating the LCE, and overall operating energy of the 50-year cycle of a building was carried out. As the results showed, the operating energy represents around 85% of the total energy that is consumed at the end of the 50 years cycle of the building. Precise LCE calculation can lead to a more efficient design for high-rise buildings. As a result, an increased understanding of the current status of green buildings within the construction industry is paramount. This understanding leads to a better insight into the contributing factors to green building in high-rise construction and the construction industry in general.Originality/valueThe potential contribution that can be gained from this research is the awareness that is raised in the research and development of green buildings in high-rise construction. This can be achieved by using certain materials such as new energy-efficient building materials, recycled materials and so on. This research will contribute to defining a new way of sustainable buildings, particularly for high-rise construction. The outcome of the research will be beneficial for practitioners such as design engineers and other related professions