Process Integration Research Articles

Identifying Levers for Change in Healthcare Coordination Between the Emergency Youth Shelter and Health Systems in Toronto, Canada Through Stakeholder Engagement: A Qualitative Study

Background: Healthcare coordination involves supporting youth experiencing homelessness (YEH) with accessing appropriate healthcare; synchronizing delivery of their healthcare across multiple systems; sharing healthcare and discharge plans with youth and providers who fall under their ‘circle of care;’ and coordinating post-care follow-up as necessary. Challenges with coordinating healthcare within and between the emergency youth shelter (EYS) and health systems include poor accountability for healthcare coordination across systems; information-sharing and privacy policies inhibiting communication between sectoral staff; inconsistencies in system-based and organizational norms, operations, and funding; and each system’s historically fragmented structure. Methods: We used a system thinking framework to identify levers for change in healthcare coordination within and between the EYS and health systems in Toronto, Canada. Six stakeholders who work at various levels of each system participated in online breakout room discussions as part of a two-hour forum facilitated by our research team. A series of four questions were asked to identify levers for change in system parts and system patterns in healthcare coordination within and between the EYS and health systems. Breakout room discussions were recorded, transcribed, and co-analyzed by the research team using reflexive thematic analysis for each question. Results: Organizational and system-wide goals discussed to strengthen healthcare coordination include clarifying accountability in staff roles, revisiting discharge policies to improve continuity of care, prioritizing funding for programs evaluated to be effective, establishing more opportunities for system cross over, enhancing accessibility for YEH, integrating social medicine into healthcare approaches, and streamlining health communication across both systems. When asked about what is realistically possible, stakeholders were optimistic about enhancing information-sharing through digital health platforms, adapting organizational policies to consider the holistic needs of YEH, and dispersing funds more intentionally to support coordination initiatives. Furthermore, poor staff-youth relations, harmful discharge policies and the Toronto housing crisis were noted as patterns impeding meaningful change in coordinating healthcare. Finally, stakeholders identified systems integration and alignment of well-defined healthcare coordination processes across systems to harmonize efforts in achieving healthcare coordination goals. Conclusions: Stakeholder forum participants discussed promising levers for change that are recommended to strengthen parts of the EYS and health systems along with patterns that influence healthcare coordination between them.

Test Case Automation: Transforming Software Testing in the Digital Era

Purpose: This research aims to explore the limitations of manual software testing, the effectiveness of test case automation in addressing these challenges, and the strategies for successful implementation of automation. It also examines the broader impact of adopting test automation on the quality, speed, and efficiency of software delivery. Methodology: The study investigates the challenges of manual testing in agile and DevOps environments and explores the role of automation as a solution. By analyzing various automation tools, frameworks, and best practices, the research provides insights into successful implementation strategies for test case automation. Additionally, it reviews the associated benefits and potential challenges organizations may face when transitioning to automated testing. Findings: Test case automation significantly mitigates the shortcomings of manual testing, particularly in fast-paced development cycles. The findings reveal that automation not only enhances the quality of software by catching defects earlier but also accelerates the testing process, improving overall efficiency. However, the study also identifies challenges, such as the initial investment in tools and skills required for automation, as well as the ongoing need for maintenance of automated test cases. Unique Contribution to Theory, Policy and Practice: This research contributes to the theoretical understanding of software testing (Tom Badgett, Corey Sandler & Glenford J. Myers, 2011) by highlighting the essential role of automation in modern software development methodologies like agile and DevOps. It bridges the gap between traditional manual testing and contemporary automated practices, providing a framework for understanding how automation fits within these rapid development paradigms. In practice, the study encourages organizations to adopt test case automation as a critical policy for improving the quality and speed of software delivery. It offers practical insights into the implementation of automation, including tool selection, training, and process integration, which can guide companies in transitioning to automated testing. Additionally, it highlights the long-term benefits of automation, making it a valuable policy consideration for organizations aiming to optimize their development and testing processes.

Effect of Offshoring on Exports of Firms in South Korea

This study empirically investigates the export-magnification effect of offshoring using a firm-level panel dataset from the manufacturing sector in South Korea. It estimates the impact of offshoring activities on export performance by examining intra-firm and arm’s length offshoring. The empirical evidence demonstrates the export-magnification effect of offshoring on both export market participation and export intensity. Particularly, the export-magnification effect of offshoring still exists among export entrants switching from non-exporters to exporters. Moreover, a greater export-magnification effect from intra-firm offshoring than from arm’s length offshoring is found using instrumental variable (IV) Tobit and probit models. This indicates that the vertical integration of production processes through intra-firm offshoring has a greater effect on export performance than international outsourcing to third parties.

IoT and Enterprise Architecture Synergy: Driving Industrial Process Optimization

The Internet of Things has emerged as a transformative force, revolutionizing industries by interconnecting devices, data, and processes. In other words, the rapid advancement of the Internet of Things has redefined how industries operate, facilitating the seamless integration of devices, data, and processes. On the other hand, the issue of enterprise architecture is also discussed, which is a comprehensive and integrated approach in line with the organization's strategic planning and macro business policies. This article delves into and focuses on how the Internet of Things and Enterprise Architecture impact industries, and explores the opportunities and challenges presented by this influence, with a specific focus on the Industrial Internet of Things.

Enhancing financial reporting and management efficiency through enterprise resource planning (ERP) systems: A theoretical review for large-scale energy operations

Enterprise Resource Planning (ERP) systems have emerged as essential tools in streamlining financial reporting and improving management efficiency across various industries, including large-scale energy operations. This theoretical review explores how ERP systems enhance financial reporting by integrating real-time data, automating financial processes, and fostering transparency. In energy operations, where financial activities are complex and data-intensive, ERP systems centralize financial data, reducing errors, improving compliance, and supporting decision-making through enhanced visibility and accuracy. By automating tasks such as budgeting, forecasting, and financial statement generation, ERP systems enable energy companies to efficiently manage their financial resources, thus optimizing cost control and profitability. Additionally, ERP systems provide significant benefits for management efficiency, particularly in large-scale operations. The integration of financial, operational, and managerial processes within a single platform allows for better resource allocation, improved communication across departments, and faster response times to market fluctuations. These capabilities are crucial in the energy sector, where companies face volatile market conditions, regulatory pressures, and high operational risks. ERP systems enhance managerial decision-making by providing real-time insights into key performance indicators (KPIs), enabling executives to make data-driven decisions that support long-term strategic goals. However, implementing ERP systems in large-scale energy operations presents challenges, including high costs, lengthy implementation periods, and the need for employee training. This review also examines these barriers and suggests strategies for successful ERP adoption, including phased implementation, stakeholder engagement, and customization to industry-specific needs. In conclusion, ERP systems hold the potential to revolutionize financial reporting and management efficiency in large-scale energy operations. By leveraging ERP's real-time data integration and process automation, energy companies can significantly improve their financial management, enhance decision-making, and adapt more quickly to market changes. Keywords: ERP Systems, Financial Reporting, Management Efficiency, Large-Scale Energy Operations, Process Automation, Real-Time Data Integration, Decision-Making, Cost Control, Market Fluctuations, Energy Sector.

AHP VIKOR framework for selecting wind turbine materials with a focus on corrosion and efficiency

The research objective in the context of the study relates to the major concern of corrosion affecting the wind turbines in operation to find materials with high durability in relation to environmental conditions of operation, strength, and cost. A method is an integration of the Analytical Hierarchy Process (AHP) and VIKOR Multi-Criteria Decision Making (MCDM) techniques that will assess seven different material options on sixteen criteria that comprise corrosion resistance, mechanical properties, cost, and a negative environmental impact. From this result, the AHP method calculated the weights for the indicators and chose potential materials, and finally, the VIKOR method used these materials and compared and ranked them to obtain a compromise solution. The research novelty integrates the AHP and VIKOR MCDM methods to address corrosion in wind turbines. By evaluating seven materials against challenging sixteen criteria—including corrosion resistance, mechanical properties, cost, and toxicity, AHP ranks and weights the criteria, while VIKOR identifies the optimal material choice. This dual approach enhances the selection process, ensuring the chosen material improves turbine performance and durability, offering a significant advancement in the sustainable development of wind energy technology. In conclusion, by integrating AHP and VIKOR, it comprehensively evaluates multiple material options based on corrosion resistance, mechanical properties, cost, and environmental impact. This methodology effectively identifies materials that enhance wind turbine performance and extend their lifespan, addressing a critical industry challenge. The alternative exhibits a similarity to the positive ideal solution (Si) of 0.3704 and a relative closeness to the ideal solution (Ri) of 0.0750. Additionally, its priority ranking (Qi) is 0.001, placing it in the first rank for Carbon Fiber Reinforced Polymers (CFRP) within the selection methodology.

Countering Political Polarization Through Conscious and Unconscious Integrative Complexity

Political polarization has been growing in many countries, including the United States, within recent years. Scholars note how, if not addressed, growing trends can compromise fundamental pillars of a functioning democratic society. While efforts have grown in researching how integrative complexity can successfully mitigate polarizing tensions in political divides, there is a lack of scholarly attention on how conscious and unconscious dimensions of integrative complexity affect such processes. This article proposes a framework to ground future research in this direction as well as inform depolarizing interventions on this topic.

Diffusion of ERP in the Construction Industry: An ERP Modules Approach: Case Study of Developing Countries

The risk–benefit analysis of ERP implementation is worth investigating to optimize the efficiency of ERP deployment in the construction sector. This study investigates the factors affecting the dissipation of ERP through diffusion models in developing countries. Moreover, it suggests a strategy to adopt ERP modules that optimize process integration and project efficiency through the priority factors method. According to the study, the internal model best describes the studied modules, and it suggests that imitative behavior and word of mouth significantly influence ERP adoption in the Africa and Middle East regions. This research concludes with an optimized order for deploying ERP modules based on the importance, urgency, and ease of implementation of each module. It is as follows: work progress (500), budgeting (405), procurement (343), site operations (280), planning and scheduling (270), accounting (252), inventory management (126), document control (90), and tendering (6). Therefore, it can be concluded that this study fills the research gap of ERP module adoption using diffusion models and priority factors within the construction industry, specifically in the specified regions. However, considering dynamic influence factors might provide more precise predictions, while involving a greater number of companies’ owners might highlight a greater importance of external factors.

Process-integrated computerized numerical control: an analysis on process-machine coupling and feed scheduling

Computerized numerical controls (CNCs) have been invented for the automation of industrial processes. They are used, when the process to be automated is required to be exact and fast with repeatable quality. Originally, the use of CNCs was primarily focused on milling and drilling processes. Today, CNCs are utilized in a wide range of industrial processes due to the growing importance of automation. However, the integration of process information or adaptation to the needs of these processes to achieve advanced manufacturing with CNCs is difficult: Industrial CNCs are rather closed real-time machining systems. Today, process integration is possible, when the interaction between the process and the machine is decoupled in view of the bandwidth of machine dynamics and process dynamics. There are interfaces that allow for process-motivated control loops that are realized on top of the machine control loop (e.g. chatter control). Then, machine-integrated real-time control is not the focus. Besides, it is often possible to change desired values inside the control loop (position, velocity, acceleration) on an axes basis. In this case, adaptation to the process can be realized in each computation cycle. However, process dynamics and machine axes dynamics are generally treated separately. The same holds for extra actuators (e.g., in the spindle) for position control. This paper has two goals. First, it wants to create an understanding for different levels of process-machine coupling. Second, the problem of direct coupling of process dynamics and machine dynamics is focused. Machining systems design propositions as well as some examples for the coupling of process and machine dynamics in the CNC are given.

Structural brain correlates of creative personality: a voxel-based morphometric study

ABSTRACT The current study explored the neuroanatomical basis of creative personality using the voxel-based morphometric (VBM) approach. The sample comprised two groups – Creative (CR) group (professional creative artists) and matched controls with no demonstrated artistic creativity (NC) with 20 participants in each group, in the age range of 20–40 years, right-handed (screened using Edinburgh Handedness Inventory) and had minimum average intelligence (IQ > 90 on Raven’s Progressive Matrices). Professional creative artists were selected using the creativity achievement questionnaire, creativity was assessed using the Wallach & Kogan test of creativity, and personality was administered using NEO-FFI. The result indicates that creative individuals have significantly higher openness to new experiences and it positively correlates with the right middle frontal gyrus. VBM analysis indicates increased gray matter volume in the inferior frontal gyrus and anterior cingulate gyrus in the CR group, pointing toward the integration of cognitive and imaginative processes that might be implicated in creative personality.

Integration of geospatial techniques and analytical hierarchy process (AHP) ind demarcating groundwater potential zones in Lakhimpur district, Assam, India

Overexploitation and climate change have threatened the availability and sustenance of groundwater resources. A proper understanding of the regional distribution of groundwater is crucial to ensure long-term water security. The present study aims to identify the groundwater potential zones in the Lakhimpur district of Assam using the Analytical Hierarchy Process (AHP) in combination with geospatial technologies. The occurrence of groundwater in the region was determined by several factors including geomorphology, lithology, slope, distance from the river, drainage density, lineament density, rainfall, curvature, soil, land use, land cover, Normalized difference vegetation index (NDVI), and topographic wetness index (TWI). These factors organized as thematic layers were utilized to generate a groundwater potential zones (GWPZ) map in the GIS environment. The AHP, an effective decision-making technique, was adopted to assign weights to each thematic layer corresponding to their relative importance in influencing groundwater availability. The GWPZ map prepared using the weighted overlay techniques was categorized into three classes: good, moderate, and poor. The result revealed that the good potential zone comprises 1909.41 km2 (65.12%), moderate 1018.25 km2 (34.72%) and the poor zone comprises 4.22 km2 (0.14%) of the total geographical area. The obtained results of 73.33% (Overall accuracy), 0.708 (ROC-AUC), and 0.50 mbgl (groundwater level fluctuation) between pre-monsoon and post-monsoon prove that the model has performed satisfactorily in identifying groundwater potential zones. The findings provide a framework for the effective exploration and management of groundwater resources, ensuring their future availability in the region.

Unlocking thin sand potential: a data-driven approach to reservoir characterization and pore pressure mapping

The gradual decline of production of the major fields of the Indus Basin has influenced the field pressure. Therefore, the prospects need to be assessed by the petro-elastic relationship. This study highlights the value-addition for identifying gas pockets within the E-Sand of the Lower Goru Formation through estimating and populating petro-elastic properties. A probabilistic neural network (PNN) was employed to develop the relationship of pore pressure to the inverted properties. The outcomes will help identify the high-pressure areas in accordance with the petro-elastic relationship for optimizing production strategy. In order to evaluate the petro-elastic relationship, stochastic seismic inversion was employed to holistically capture the reservoir’s variability. Pore pressure volumetric was estimated from inverted attributes using a PNN, a non-linear algorithm that was more suited to heterogeneous reservoirs. The main objective of the research is achieved via enhanced resolution of elastic properties attained through the integration of stochastic inversion and PNN processes. The high-resolution elastic properties including P-impedance, S-impedance, and Vp/Vs ratio can delineate the heterogeneities more profoundly. The petrophysical volumes obtained via enhanced inverted properties combined with pore-pressure through PNN illuminated the potential facies and the correlations in predicting the properties. The procedure provides a linkage of elastic, petrophysical, and geomechanical properties that is helpful for professionals covering a broad field of the petroleum sector. The developed workflow can be followed globally where problems occur regarding heterogeneities and early depletion.

Active Ingredient Prescribing in Australia: exploring pharmacists' experiences

AbstractBackgroundThe Active Ingredient Prescribing (AIP) mandate was introduced Australia‐wide on 1 February 2021. The AIP legislation makes the pharmacist a stakeholder who can provide valuable information to customers and patients.AimTo explore the experiences of community pharmacists with AIP legislation with a focus on attitude, health literacy, and medication safety.MethodSemi‐structured, in‐depth interviews were conducted and guided by the Theoretical Domains Framework (TDF). Transcripts were analysed using a deductive approach to categorise data and inductive thematic analysis to identify concepts and themes. Ethical approval was granted by the Griffith University Human Research Ethics Committee (Reference no: 2021/878) and the study conforms to the Australian National Statement on Ethical Conduct in Human Research. Informed consent from all participants was obtained via a study information sheet distributed to all potential participants and completion of written consent forms prior to participation in the study. Participants received gift cards as compensation for their time.ResultsSix pharmacists participated, and thematic analysis of collected data revealed three main themes. These included education, integration, and trust. Insights on patients' acceptance of their prescriptions and the expanded patient‐facing opportunities were highlighted. Participants' opinions leaned towards enhancing the smooth integration into the AIP process of other stakeholders like prescribers and regulatory bodies. Establishing multilevel communication between stakeholders and customers was pivotal to improving health literacy and medication safety. Pharmacists' views on process integration provided unique insight into the practical challenges with the AIP mandate. In addition, ‘trust’ in the prescriber enhanced patient acceptance of generic medicines.ConclusionThe study provided baseline evidence to show that the AIP mandate enhances health literacy and empowers patients to know the active ingredients in their medicines, which in turn supports medication safety. Examining the implementation of the AIP legislation facilitated a nuanced understanding of the effect that these AIP changes have on patients.

Process integration and electrification through multiple heat pumps using a Lorenz efficiency approach

This paper introduces a novel method for targeting the minimum shaft work required for process electrification employing principles of Pinch Analysis and detailed heat pump performance estimations. The method deviates from conventional Pinch Analysis by dividing the grand composite curve (GCC) into net heat sink and source profiles to enable the placement of heat pumps exploiting the heat pockets of the GCC. Additionally, it employs Lorenz efficiency over exergy efficiency, offering an accurate description of heat pump performance and highlighting the importance of integration between processes. The method is applied to two case studies. The first case, milk evaporator, focused on the placement of heat pumps in the heat pockets of the GCC. The results showed that while the maximum direct heat recovery was 20,447 kW, the optimal configuration limited the heat recovery to 12,199 kW, reducing the shaft work from 1,930 kW to 1,010 kW. The second, a spray dryer case, focused on the integration of electric boilers and the partial process electrification when available excess heat is limited. In this case, 1,520 kW out of 4,640 kW were covered by an electric boiler, with a biomass boiler replacing the electric boiler to cover 3,570 kW if available.

Empowering decentralized production: A distributed manufacturing system for additive manufacturing processes

This work presents a pilot distributed manufacturing system for decentralized additive manufacturing, focusing on the Interdisciplinary Center for Advanced Manufacturing Systems (ICAMS) capabilities at Auburn University. The paper outlines the first phase of a multi-phase implementation plan and demonstrates the developed capabilities. The vision is to coordinate geographically separated manufacturing facilities as a cohesive unit. In our work, we prioritize instantaneous communication for file and information sharing. The Manufacturing Hub and Remote Cell, two facilities within driving distance, are coordinated in terms of part design, printing, and inspection procedures for a distributed Additive Manufacturing process. To enable coordination between the two facilities, ICAMS addresses three technological needs. These needs consider information sharing, process standardization, and data collection and monitoring. A network attached storage facilitates information sharing, a database-connected graphical user interface streamlines and standardizes the manufacturing process, and a data collection system facilitates process monitoring. The graphical user interface allows for order placement, progress monitoring, and communication updates. The developed phased plan, collaborative workflow, technological solutions, and production protocols demonstrate the potential for decentralized additive manufacturing. Successful integration of communication, design, printing, and quality assurance processes sets the foundation for future advancements in decentralized manufacturing systems.

Visualized analysis of microscale rock mechanism research: A bibliometric data mining approach

Rock mechanics is an indispensable discipline in diverse sectors, from resource retrieval to disaster mitigation. Diving deeper into this field, particularly into microscale rock mechanics, offers strategic insights and potential advancements for rock engineering practice. The objective of this research is to map the scientific production tied to microscale rock mechanics to date. In doing so, we perform a bibliometric analysis to look over and discuss the performance of the related literature. The conceptual fabric of microscale rock mechanics research, constituted by four central themes, was revealed and visualized through a text mining analysis. These areas include (1) modeling and simulation of fluid flow and transport within porous media, (2) characterizing fracture and failure in rocks, (3) understanding the deformation mechanism in response to geological processes, and (4) studying the mechanical properties of rocks subjected to extreme conditions. Lastly, an upcoming research agenda for microscale rock mechanics was proposed, centered on addressing three identified research gaps: (I) the integration of geological processes to characterize mineral properties, (II) the augmentation of fracture predictions achieved through multiscale modeling of rock heterogeneity, and (III) the exploitation of Artificial Intelligence technologies for anticipating complex fracturing scenarios. This comprehensive approach promises to enrich our understanding of rock mechanics and its applications.

Optimizing the heat extraction performance in the Qingfeng Karst geothermal reservoir

Faults are typically associated with hydrothermal reservoirs and may control the heat extraction of geothermal reservoirs. However, in Karst geothermal reservoirs, the dissolution of soluble rocks results in pronounced spatial porosity and permeability anisotropy (PPA), potentially weakening the dominant role of faults. The question arises: which plays a dominant role, PPA or faults? Should geothermal exploitation strategies be adjusted under the interaction of both factors? In this study, we proposed a coupled Thermal-Hydraulic-Geothermal Wellbore (THG) numerical simulation model to streamline the integration of non-isothermal flow and heat transfer processes within a 3D wellbore. Utilizing this model, we analyzed the influence of faults compared to PPA and assessed the geothermal well doublet's heat extraction performance, including thermal breakthrough time, temperature losses along the wellbore wall, and recovery factor (Rg). There are specific geothermal reservoir development conditions leading to the latest thermal breakthrough time and the maximum Rg. The results of contribution rates highlight the influence of injection rate in determining Rg. It is crucial to note that thermal breakthrough time does not necessarily increase with injection temperatures. A more suitable definition for thermal breakthrough time in the Karst geothermal reservoir has also been identified. This study provides an essential reference value for the efficient development of similar Karst geothermal reservoirs.

Process Integration Technique for Targeting Carbon Credit Price Subsidy

Mitigating climate change requires a portfolio of strategies and the use of carbon dioxide removal techniques or negative emissions technologies (NETs) will be necessary to achieve to achieve this goal. However, the high implementation costs of advanced NETs lead to expensive carbon credits, hindering their broad acceptance and use. One potential solution involves governmental support through subsidies, aiming to boost the availability of NET-derived carbon credits. This research uses a graphical technique based on an extension of pinch analysis to identify the ideal subsidy level for carbon dioxide removal, taking into account factors such as carbon pricing, supply, and demand. The proposed approach modifies the limiting composite curve (LCC) methodology to accurately determine the optimal subsidy and establish the baseline amount of subsidized carbon dioxide removal needed. The approach enables the convenient and efficient construction of the LCC using a composite table algorithm. To illustrate the proposed methodology, two case studies composed of different NETs and demand sectors are investigated. The results show the most advantageous subsidy levels for these technologies, providing valuable insights to guide policymakers and investors in their decarbonization efforts. This research contributes to the development of effective governance and investment strategies by optimizing NET subsidy allocation. Such optimization is crucial for facilitating the widespread implementation of these technologies, which are in-line with the global efforts to mitigate climate change.

Furanic jet fuels – Water-free aldol condensation of furfural and cyclopentanone

A method for the water-free, large-scale synthesis of bio-jet fuel precursors, distinct from traditional fossil-based sources, is introduced. This approach involves the aldol condensation of furfural with cyclopentanone, producing C10-C15 fuel precursors eligible for further hydrodeoxygenation to high-performance diesel and jet fuel hydrocarbons. In the context of process integration, aldol condensation reactions were conducted under water-free conditions, utilizing excess furfural as the solvent. Evaluation of various commercial catalysts confirmed the feasibility of running in excess furfural. Both basic and acidic catalysts demonstrated significant activity, with CaO and amorphous silica-alumina achieving ≥80 mol% conversion of cyclopentanone and yielding ≥80 mol% selectivity towards the desired fuel components within 5 h of reaction. However, an overlooked aspect is the notable formation of undesired heavy side products. Observations indicated that the high furfural concentration, combined with the use of strong acidic catalysts, were the primary cause of heavy side product formation. The strong base catalyst, CaO, significantly reduced the formation of these oligomers, but did not appear to stop it completely. Interestingly, water content did not appear to play a major role in byproduct selectivity. To further suppress the formation of oligomers, the use of process-owned intermediates as solvents is proposed.

Soybean biorefinery and technological forecasts based on a bibliometric analysis and network mapping

Global warming and increasing pollution have become critical global issues, and, coupled depletion of traditional energy sources, have accelerated the adoption of more sustainable production systems, such as biorefineries. Biorefineries possess the capacity to integrate technologies and processes within a single facility, thereby generating biofuels, high-value-added chemical products, and energy. The current study aims to evaluate various scenarios of soybean biorefineries by employing a bibliometric analysis and network mapping to facilitate and implement technological forecasting. To achieve this objective, eight methodological steps were undertaken. The majority of studies reviewed were primarily concerned with the utilization of soybean straw and hulls, motivated by the need to address environmental challenges related to the disposal of substantial volumes of these residues. Research on the application of soy whey also emerged as significant, mainly due to its connection with soy protein isolates. The seven most promising technological avenues identified were nanocomposites, peroxidases, ethanol, green composites, biochar, films, and biodiesel. Consequently, the findings provide a bibliographic foundation for future research on the integration of soybean-derived residues, processes, and products, which could foster innovation within the biorefinery framework and lead to crucial advancements in the processes.