Supply Industry Research Articles

Analyses on Characteristics of Spatial Distribution and Matching of the Human–Land–Water–Heat System on the Yunnan Plateau

Water, soil, and heat are strategic supporting elements for human survival and social development. The degree of matching between human-land-water-heat elements directly influences the sustainable development of a region. However, the current evaluation of the matching of human-land-water-heat elements overlooks the influence of elevation factors on the matching results, especially evident in mountainous areas. Taking the Yunnan Plateau with distinctive mountainous features as the research subject, divided into 11 elevation ranges, the Lorenz Gini coefficient, asymmetry coefficient, matching distance, and imbalance index are used to assess the spatial matching and balance of human-land-water-heat elements. A projection tracing model is employed to analyze its water resource carrying capacity. Analyses revealed that the Gini coefficient of monthly precipitation from the 1950s to 2022 on the Yunnan Plateau increases with increasing latitude, whereas the correlation with elevation is notably lower. The asymmetry coefficient increases gradually from west to east with change in longitude. The mismatch of the human–land–water–heat system in regions at different elevations is in the order 1800–2000 m > 2000–2200 m > 1400–1600 m > 800 m > other areas. The matching of the human–land–water–heat system in different wet–dry years and seasons also fluctuates with elevation, resulting in serious seasonal drought and water shortage problems in mountainous areas with elevations of 1200–1600, 1800–2000 m, and >2600 m. The spatial equilibrium of temperature and precipitation in regions of different elevations is best, followed by that of cultivated land, while that of the population is the worst. The Gini coefficients for different water cycle processes of precipitation, surface runoff, and regulating storage capacity for water supply continue to increase. Specifically, the Gini coefficient of industrial water supply is the highest, reaching 0.576, and that of agricultural irrigation is the lowest (0.424). Through artificial regulation of lake and reservoir water, seasonal changes in the demand for agricultural irrigation water are offset to achieve a demand–supply balance and matching of land and water resources. The water resource capacity of different elevation ranges is evenly underloaded. However, the potential of the water resource capacity varies obviously with elevation in the order 2000–2200 m < 1800–2000 m < 1600–8000 m < 1400–1600 m < other areas. It appears that the greater the human–land–water–heat system mismatch, the smaller the regional potential of the water resource capacity.

Water security consequences of the Russia-Ukraine war and the post-war outlook

Russian forces have destroyed one-third of Ukraine’s freshwater storage since February 2022 to 2024. Potable, industrial and irrigation water supplies have been cut across the south and east of the country. Overall, social, economic and ecological damages are estimated in the tens of billions of $US, while the loss of Ukraine’s economic potential and necessary investments in restoration reach $600 billion. We consider the current eco-economic efficiency of irrigated crops, as well as damage to commercial and recreational fisheries including losses of littoral areas and spawning grounds. Alternative water supplies for the war-torn regions by construction of wells to tap groundwater are presented and justified; various scientific opinions and approaches to ecosystem management and options for the future reconstruction of the Kakhovka Reservoir are discussed; and, finally, strategic development options for the water sector are considered to ensure water security in the post-war development period.

A Haavelmo grey model based on economic growth and its application to energy industry investments

The energy industry is a major source of greenhouse gas emissions, and energy investment is an important regulatory tool to encourage the energy industry to actively respond to climate change and achieve low-carbon development. Therefore, it is of great practical significance to correctly understand the important role of the energy industry, to predict energy investments objectively and accurately, to achieve scientific and rational investment, and make policy recommendations for the energy production and consumption revolution. In this paper, the Haavelmo model of economic growth is introduced into the energy system, using the characteristics of the continuous form of the model to establish the differential equations for the dynamics of fixed asset investment in the energy industry, and Haavelmo's grey prediction model using the grey difference information principle. Meanwhile, the Python program is used to solve the parameters of the new model, and the mathematical transformation is used to find the time response equation of the new model, and the modeling steps and the modeling flow chart of the model are obtained. Finally, the new model will be applied to two types of energy investments in China: total energy industry investment and investment in electricity, steam, hot water production, and supply industry. Both types of energy use the same modeling object and forecast object, and six cases are compared with three grey forecasting models from different perspectives, and their results show that they are much better than the other three grey forecasting models, demonstrating the effectiveness of the new model to effectively forecast energy investments and improve the efficiency of energy industry investments, cultivate healthy and environmentally friendly energy consumption habits.

Making Cognitive Ergonomics in the Human–Computer Interaction of Manufacturing Execution Systems Assessable: Experimental and Validation Approaches to Closing Research Gaps

Cognitive ergonomics and the mental health of production workers have attracted increasing interest in industrial companies. However, there is still not much research available as it is regarding physical ergonomics and muscular load. This paper designs an experiment to analyze the cognitive ergonomics and mental stress of shop floor production workers interacting with different user interfaces of a Manufacturing Execution System (MES) that is adjustable for analyzing the influence of other assistive systems, too. This approach is going to be designed with the Design of Experiments (DoE) method. Therefore, the respective goals and factors are going to be determined. The environment will be the laboratories of the University of Applied Sciences Amberg-Weiden and its Campus for Digitalization in Amberg. In detail, there will be a sample assembly process from the automotive supplier industry for demonstration purposes. At this laboratory, the MES software from the European benchmark SAP is installed, and the respective standard Production Operator Desk is going to be used with slight adaptions. In order to make the cognitive ergonomics measurable, different approaches are going to be used. For instance, body temperature, heart rate and skin conductance as well as subjective methods of self-assessment are planned. The result of this paper is a ready-to-run experiment with sample data for each classification of participants. Further, possible limitations and adjustments are going to be discussed. Finally, an approach to validating the expected results is going to be shown and future intentions are going to be discussed.

Supply Chain Operation Reference on Plywood Industry: A Case Study in Indonesia

The phases that comprise the supply chain are the acquisition of primary materials, distribution, manufacturing, and, ultimately, delivery to the customer. To ensure performance improvement is sustained, the industry must determine the extent to which its industrial supply chain performance requires examination and improvement. The objective of the case study was PT. KTC, the preeminent plywood enterprise in South Sulawesi, Indonesia, implemented Supply Chain Management to control material flow. Supply chain operations are comprised of the supply chain operation reference (SCOR), which is composed of the following five key management processes: planning, sourcing, manufacturing, delivering, and returning. The procedure utilised to analyse the performance measurement in this research was the Analytic Hierarchy Process (AHP). As indicated by the study, the KTC supply chain is deemed to be of good overall effectiveness, with a score of 75.21. The volume of consumer complaints, product replacement, and product repair are three aspects of supply chain performance that necessitate improvement due to the deployment of AHP weighting. Modifications to these measures are necessary to optimise the supply chain operations of KTC.

Post-harvest regeneration is driven by ecological factors rather than wood procurement intensity in eastern Canadian forests

Abstract Biomass from surplus forest growth that is not harvested for wood supply of conventional industries can be an important source of feedstock for bioenergy. Its procurement can be integrated with little effort into current harvest operations. However, the increasing harvesting intensity to meet greater demand for biomass procurement can impact forest ecosystem functions because of its direct and indirect effects on woody debris and the regeneration of next-rotation stands. In this context, we aimed to determine the relationships between wood procurement intensity, woody debris inputs, and regeneration success over 2 years after harvesting. We tested four treatments of increasing wood procurement intensity using a randomized block design within six experimental sites along a gradient of varying forest characteristics of boreal and temperate forests. We assessed stand characteristics in terms of standing trees, woody debris, and regeneration pre- and post-harvest. We used mixed effects models to evaluate (i) the effects of wood procurement intensity and pre-harvest stand characteristics on the volume and cover of woody debris and (ii) the specific influence of woody debris on the presence of suitable planting microsites post-harvest. Furthermore, we used principal component regressions to explore the relationships between harvesting intensity and the presence of natural regeneration and competing vegetation as a function of pre- and post-harvest stand characteristics (iii). Our results showed that increasing wood procurement intensity reduced the volume of post-harvest woody debris while having a limited effect on regeneration. Increasing harvesting intensity had a negligible effect on suitable planting microsites in hardwood-dominated stands but it increased their presence in conifer-dominated stands. Natural regeneration and competing vegetation were mainly related to stand characteristics, and only broadleaf regeneration was sensitive to harvest intensity. We conclude that the relationships between wood procurement intensity and regeneration are complex and rely mainly on stand characteristics rather than wood procurement needs.

Blockchain technologies in pharmaceutical industry: A comprehensive overview

Pharmacies need to manage their data effectively. A novel technology known as blockchain holds the potential to enhance transparency and safety for various pharmaceutical operations. The Drug Supply Chain Security Act (DSCSA), which was passed by the US Congress in 2013 to stop pharmaceuticals that are stolen, tainted, or counterfeit, has a response provided by blockchain technology. Blockchain technology is a decentralized distributed ledger that uses cryptographic techniques to provide security to a peer-to-peer network of transactions. These guarantee that a product is secure and suitable for consumer sale. By making sure laws are readily followed, blockchain provides solutions to improve the validity, reliability, and efficiency of medicine production. It also presents a chance to address one of the main issues, which is the surge of fake medications getting into the system and into the hands of patients or customers. According to the pharmaceutical industry, society is seriously threatened by fake medications. False medications have a direct or indirect negative impact on patients health, sometimes leading to major problems and even death. The pharmaceutical industry's inadequate supply chain management is the cause of this counterfeiting, which jeopardizes patient safety and damages the reputation of the manufacturer. Blockchain technology can be applied to supply chain management to provide assurance, security, traceability, and openness to the chain by providing visibility and immutability of each stage in the chain. A relatively new electronic data management technology called blockchain has promise for transparency and accountability. A blockchain is a ledger of transactions that is viewable by all users of a computer network, each with an identical copy of the ledger.

Green Hydrogen Value Chain: Modelling of a PV Power Plant Integrated with H2 Production for Industry Application

Based on the Sustainable Development Goals outlined in the 2030 agenda of the United Nations, affordable and clean energy is one of the most relevant goals to achieve the decarbonization targets and break down the global climate change effects. The use of renewable energy sources, namely, solar energy, is gaining attention and market share due to reductions in investment costs. Nevertheless, it is important to overcome the energy storage problems, mostly in industrial applications. The integration of photovoltaic power plants with hydrogen production and its storage for further conversion to usable electricity are an interesting option from both the technical and economic points of view. The main objective of this study is to analyse the potential for green hydrogen production and storage through PV production, based on technical data and operational considerations. We also present a conceptual model and the configuration of a PV power plant integrated with hydrogen production for industry supply. The proposed power plant configuration identifies different pathways to improve energy use: supply an industrial facility, supply the hydrogen production and storage unit, sell the energy surplus to the electrical grid and provide energy to a backup battery. One of the greatest challenges for the proposed model is the component sizing and water electrolysis process for hydrogen production due to the operational requirements and the technology costs.

DIM ESEE—Dubrovnik International ESEE Mining School

AbstractIn 2015, together with the University of Zagreb and other partners, the Resources Innovation Center of the Montanuniversität Leoben conceived a series of one-week training workshops—the “Dubrovnik International Eastern and Southeastern Europe Region Mining School—DIM ESEE”.Every October, 40–60 experts from the region meet in Dubrovnik for three (five in the early years) full days of specialist lectures, case-study discussions, and excursions.The DIM ESEE workshops aim to provide tailored and industry-oriented training for raw materials professionals, academics, and PhD students and address topics of current relevance to the mining community. In 2023, Montanuniversität was responsible for the topic “Innovation in Extraction” and created a comprehensive training program with interesting contributions from the mining supply industry.

Sustainable Groundwater Management Through Micro Irrigation: A Critical Review on Challenges and Solutions

Abstract Groundwater plays a vital role in global water resources, supporting agricultural, industrial, and domestic water supply systems. However, the long-term sustainability of groundwater is increasingly threatened due to the widespread adoption of irrigation systems especially micro irrigation. Micro irrigation is a widespread agricultural technique that involves water application to crops through drip irrigation and sprinkler systems. This method has gained widespread adoption due to its ability to deliver water efficiently to crops. This review paper examines the impacts of micro irrigation on groundwater sustainability, focusing on its effects on groundwater quantity, quality, and overall sustainability. The findings reveal that micro irrigation can significantly contribute to groundwater conservation by reducing water losses. However, improper management practices, such as over-irrigation or incorrect application rates, can lead to excessive groundwater extraction, depletion of aquifers, and declining water tables. Applying fertilizers and pesticides in micro irrigation systems may lead to groundwater pollution, thereby affecting water quality and posing a risk to human health. This review article emphasizes the significance of appropriate design, installation, and upkeep of micro irrigation systems to minimize potential adverse effects on groundwater. Furthermore, regulatory frameworks, policies, and educational programs are crucial in promoting sustainable groundwater management practices in micro irrigation. The present review highlights the significance of adopting balanced water use practices, enhancing water management techniques, and implementing relevant regulations to ensure the sustainable utilization of groundwater resources in micro irrigation systems.

Strategic features of heat supply in different countries

Aim. To analyze the features of different models of heat supply in different countries in terms of identifying strategic actors and their role in the analyzed models.Objectives. To analyze heat supply models in Russia, Kazakhstan, USA and China, as well as strategic features in heat supply models of different countries; to identify strategically significant actors that play a leading role in the heat supply industry in different countries; to compare and reveal the features that can contribute to the growth of efficiency of strategizing the domestic heat supply industry.Methods. The research is carried out in accordance with the strategy theory and strategy methodology developed by academician V.L. Kvint in the aspect of analyzing the external environment, interest groups and assessing the influence of strategic actors in the industry.Results. In all the studied countries the state plays the role of regulator and controller, as the industry directly affects the economy of any country and the well-being of citizens. However, the level of regulation and influence of the state on the industry differs. The population as an actor shaping the strategic feature is identified only in the USA. This is due to the high decentralization of the industry and complicates strategizing, because in accordance with the methodology of V. L. Kvint, everyone who will subsequently implement the developed strategy should participate in the strategizing process. Each model has advantages and disadvantages. The US model of heat supply takes into account the opinion of the actors most fully, although it is the most decentralized and has the least population coverage. In contrast, China’s ultra-high centralization model achieves efficient growth and predictable planning in the heat sector. However, this model focuses on achieving quick results through the wholesale supply of heat to industrial enterprises and the use of cheap, unecological fuels such as coal.Conclusions. Most of the models analyzed tend to decentralize the heat supply system. For effective strategizing in the Russian industry it is necessary to increase the role of consumers and generating companies as strategic actors in the heat sector.

WITHDRAWN: Sustainable circular supplier selection for textile manufacturing industries in India: An integrated WINGS-MABAC approach

The significant quantity of waste produced by the textile industry has recently sparked an increase in the adoption of Circular Economy (CE). To aim towards CE, companies should focus on selecting suppliers who share certain key characteristics, such as being compliant with the CE standards, recycling used resources to reduce waste, minimal use of water & energy. Till date, very few studies have managed to cover the in-depth analysis of suppliers on the basis of circularity and sustainability aspects. The criteria addressed in this study have been identified through thorough literature review and discussions with the experts. This paper addresses this problem with the aid of multi-criteria decision-making (MCDM) framework for sustainable circular supplier selection (SCSS) in the Indian textile industry. This study applies Weighted Influence Non-linear Gauge System (WINGS) - Multi-Attributive Border Approximation Area Comparison (MABAC) approach to estimate the importance of different criteria to select the best performing supplier of recycled cotton yarn for an Indian textile industry. WINGS is used to analyse the different criteria for evaluating suppliers in textile industry, while MABAC is used to select the most suitable sustainable circular supplier. Our results suggest that sustainable circular suppliers should be evaluated mainly on the basis of factors like whether or not the supplier is willing to collaborate, robustness, green certifications and the recycling capability of the suppliers. The proposed approach and decision-making model can help the managers of the textile industry to choose more sustainable suppliers, respond to fast fashion and maintain the competitive standard in the market. An illustrative application of the proposed framework is undertaken in an Indian textile micro, small and medium enterprise (MSME).

Sustainability-Driven Supplier Selection: Insights from Supplier Life Value and Z-Numbers

In recent years, the strategic selection of the most suitable supplier within the supply chain has garnered increasing attention. Incorporating vital criteria like sustainable development further complicates this decision-making process. Companies and manufacturing facilities recognize the pivotal role of suppliers in their overall success and aim for mutually advantageous partnerships. Establishing long-term relationships with suppliers can yield benefits for both parties. However, supplier selection is intricate, often transpiring within an environment of limited information. Consequently, evaluating and selecting organizational suppliers necessitate methodologies yielding more dependable and pragmatic results due to the uncertainties inherent in expert judgments. This study introduces Supplier Life Cycle Value (SLV) criteria for extended partnerships with suppliers and sustainability metrics for selecting “industrial equipment suppliers”. The Hierarchical Best-Worst Method (HBWM) is then applied to determine Sustainable Supplier Life Value (SSLV) criteria weights. Subsequently, employing the PROMETHEE-GAIA approach, suppliers are systematically ranked and comprehensively analyzed. To account for the inherent uncertainty in expert judgments, this study incorporates fuzzy numbers enriched with probability and reliability parameters (Z-Numbers) by introducing novel verbal spectra for supplier evaluation. This facilitates more effective decision making in supplier management. The findings underscore the significance of considering the supplier’s longevity beyond economic metrics, emphasizing the importance of sustained supplier participation. Moreover, the varying outcomes across definite and fuzzy scenarios, accounting for reliability (Z-Numbers), underscore the impact of data uncertainty on decision making. Given that fuzzy numbers incorporating reliability (Z-Numbers) encompass the confidence probability within the unclear number, they offer a more robust and realistic representation of real-world scenarios.

Problems of the development of Ukraine’s industry and itspersonnel supply in the conditions of war

Abstract The article examines the problems of industrial development of Ukraine during the period of independence and in the conditions of a full-scale war. A review of publications on the problems of industry by domestic researchers is carried out. It is stated that as part of the Soviet Union, Ukraine had a developed industry, which was fully integrated into the Union economy. The rupture of production chains, the loss of markets and the lack of an effective industrial policy during the period of independence led to deindustrialization and technological decline of Ukraine's industrial potential, which became a significant factor in unleashing armed aggression. The negative impact of the war on the state of domestic industry is studied: the destruction, closure and relocation of many enterprises, the curtailment of business and the primitivization of production led to a reduction in the volume of products sold by almost a third. Analysis of the dynamics of production in 2023 showed a slow and unstable recovery of industrial production, which is hindered by a number of factors. It is noted that a growing constraint is the lack of qualified personnel. The main threats to the staffing of the industrial sector of Ukraine in the wartime and post-war period are systematized: physical and migration losses of the population, brain drain, migration policy of the EU countries to create a reserve of skilled labor for their economies, low level of wages at domestic enterprises, destruction of the education system and inconsistency of vocational training with the needs of the labor market, weak participation of business in interaction with the system of vocational training and in improving personnel qualifications. At the present stage, the main tasks in the field of staffing of industry are: increasing the level of safety of living and working conditions in Ukraine; improvement of the organizational and legal principles of employment based on the principles of decent work; development of effective mechanisms and incentives for the return of forced external migrants; involvement in the sphere of economic activity of the passive part of the able-bodied population, including disabled people; use of diverse and flexible forms of work organization; modernization and development of the system of vocational and engineering education. Keywords industry, industrial complex of Ukraine, war risks for industry, industrial recovery, human resources of industry, human losses from the war, labor shortage

Coal Mine Drainage as a Source of Drinking and Industrial Water—The Upper Silesian Coal Basin, Poland

Water is one of the most important resources found on Earth, essential for all forms of life. Both the quantity and quality of water resources are crucial for the health of the population and for economic sectors, making water a factor in determining a society’s standard of living. Mine water serves as an appealing source of both drinking and technological water. Regardless of the exploitation method, it must be pumped to the surface and, usually, treated to meet environmental standards. In most cases, it is discharged to rivers. In this article, we present a model of the use of mine water from three pumping stations of decommissioned coal mines in the Upper Silesian Coal Basin—Jan Kanty, Saturn, and Boże Dary. Water from these pumping stations is characterized by good qualitative and quantitative parameters. The results of the physico-chemical composition analyses carried out in the years 2012–2022 did not reveal any excessive amounts of toxic components or treatment difficulties. Given the long operational lifespan of these pumping stations and their existing water extraction infrastructure, they emerge as promising sources of both potable and industrial water supply, demanding minimal treatment efforts.

The impact of the U.S. Inflation reduction act on the restructuring of the Asia-Pacific energy industry Chain and China’s response strategies

ABSTRACT The development of the energy industry holds a crucial position in the industrial layout of countries worldwide. The Inflation Reduction Act intends to exclude China and other Asian countries from the clean energy industry supply chain, which will have a significant impact on the Asia-Pacific energy industry chain layout. This paper constructs a GTAP-GVC model to simulate and analyze the impact of the act on the layout of the PV and EV industry chains in the Asia Pacific region through GVC participation, location, and industry chain elasticity. The study finds that the implementation of the act will drive the ascent of the international division of labor in the U.S. clean energy industry, while worsening the trade environment for other Asia-Pacific countries. Canada, Mexico, and other ‘allies’ of the U. S. cannot benefit from the subsidy conditions of the act. China should strengthen the development of its domestic clean energy industry, enhance its independent research and development capabilities, and promote industrial technological upgrades to cope with the impact of the act.

How do key for the bioenergy industry properties of baled biomass change over two years of storage?

Perennial industrial crop (PIC) biomass is produced in a cyclic manner, which necessitates its storage to ensure a continuous supply for bioenergy industry. The biomass composition and properties change during storage. These are the reasons for designing over two-year experiment which covers PIC species popular in Europe (willow, poplar, black locust, miscanthus), whose biomass was stored in bales during this period in five systems (uncovered; under foil, T120, T200; and in a shed). The following was performed during the storage period: samples were collected, proximate and ultimate analysis was conducted, higher and lower heating value was calculated, and the lignocellulose and extractives content was determined. The results showed the dependence of the stored biomass properties on the species, storage system and storage time, as well as on their combination. PIC bales storage in a shed, T120 and T200, were found to preserve acceptable thermophysical properties and the chemical composition of the biomass for a period of up to two years. The analyzed changes of each attribute or a group of attributes should be individually referred to for each potential method of use (thermal conversion installations, installations for biomass conversion to bioproducts, including biofuels, etc.).

Geological and hydrogeological structure of the Sheshma terrigenous complex of the Belsky uplift

Relevance. The importance of industrial and technical water supply to an oil field in the north-east of Perm region. The requirements to subsoil use and environment protection demand a sanitary restriction zone of the water supply source in the northern part of the field. The current study of a geological structure and groundwater conditions and circulation of Sheshma aquifer complex will assess its resources and elaborate on organization of water supply to the oil field. Aim. To study geological structure and groundwater conditions of Sheshma aquifer complex. Objects. Formations rocks and groundwater conditions of Sheshma terrigenous complex. Methods. Studying the archival records, conducting a hydro-geological survey of the territory, drilling groundwater exploration wells, conducting pilot-filtration works on groundwater exploration wells in the flooding and low-water period. Results. The authors have discovered Sheshma formation thickness, which ranges from 100–150 to 300 m, and lithological composition of rocks and groundwater conditions of Sheshma aquifer complex. It was established that groundwater is deposited as a system of separate isolated water-bearing interlayers and blocks within the Durinsky trough. The most water-bearing zones were identified. Two aquifers of fine-grained and coarse-grained sandstones were detected in low-permeability thickness of Sheshma formation. The aquifers are not hydraulically connected and are separated from each other by a 40 m thick layer of water-resistant mudstones. Groundwater is deposited as strata with Neumann's boundary conditions, orientated sublatitudinally, from west to east. The obtained data can be further used to solve the issues of water supply within the area under study and the rational use of these waters.

The Role of the National Gas Policy on the Nigerian Electricity Supply Industry and Economic Growth

This study examined the relationship between real GDP, electricity supply, and the National Gas Policy (NGP) in Nigeria, using annual time series data from 1981 to 2019. To achieve its aim, the study explores how the NGP might influence future economic growth, natural gas reserves and electricity supply. Econometric techniques are employed for analysis, where real GDP is dependent variable, and the NGP is the dummy explanatory variable alongside other explanatory variables. The Augmented Dickey-Fuller and Phillip Perron Methods were used for unit root tests. The ARDL bounds tests indicated evidence of co-integration and long-run relationships among the variables. From the results, electricity supply and the NGP have a positive and significant relationship with real GDP. Consumer Price Index (CPI), a control variable, had a negative and significant relationship with real GDP in the short run. Also, the Error Correction Term is -0.2228. Consequently, the speed of adjustment for the model to return to long-run equilibrium after a shock is 22.28%. The study also found that the current two (2) percent annual growth rate of proven NG reserves is inadequate to cater for the rapid growth in the NG sector considering the positive effect of the NGP. The study, therefore, recommends that policymakers should continue to promote the NGP programme because it contributes positively to real GDP. In addition, consideration should be given to a diverse energy mix policy to reduce the over-reliance of electricity generation on NG-fired power plants, consequently, policymakers should promote policies that will lead to the diversification of the energy source for power generation.

A structural equation modeling framework for exploring the industry 5.0 and sustainable supply chain determinants

Sustainable Supply Chain and Industry 5.0 are two important concepts reshaping how businesses operate in the modern world. Together, these two concepts drive the advancement of a highly sustainable and robust worldwide economy. Companies are now becoming more sustainable in supply chain management, using technologies like blockchain and co-bots to track the origin of goods, ensure ethical and sustainable sourcing, and work with humans safely and effectively. This study develops a theoretical model highlighting the determinants of Industry 5.0, Sustainable Supply Chain Practices, by combining theoretical frameworks from the manufacturing, supply chain, and information systems literature. The study's analytic sample comprises 342 responses collected from professionals working in the electronics industry's supply chain. Hypotheses were constructed employing deductive reasoning, leveraging insights gleaned from prior research. The study is conducted utilizing the Structural Equation Modeling (SEM) to substantiate the presumed connections among various constructs, namely, Industry 5.0 innovations, Sustainable Supply Chain Practices (SSCP), Sustainable Supply Chain Performance (SCP), and Supply Chain Risks (SCR). The Structural Equation Modeling analysis results show a direct impact of Industry 5.0 technologies through Sustainable Supply Chain Practices can enhance Supply Chain Performance and mitigate Supply Chain Risks. Combining the two paradigms can foster the development of new business models that prioritize sustainability and contribute to a more equitable and environmentally friendly economy that brings positive change for both businesses and society.