Innovative Processes in Managing an Enterprise from the Energy and Food Sector in the Era of Industry 4.0

A Conceptual Model Relationship between Industry 4.0-Food-Agriculture Nexus and Agroecosystem: A Literature Review and Knowledge Gaps

With the expected colonization of human daily life by artificial intelligence, including in industry productivity, the deployment of Industry 4.0 (I4) in the food agriculture industry (FAI) is expected to revolutionize and galvanize food production to increase the efficiency of the industry's production and to match, in tandem, a country's gross domestic productivity. Based on a literature review, there have been almost no direct relationships between the I4-Food-Agriculture (I4FA) Nexus and the agroecosystem. This study aimed to evaluate the state-of-the-art relationships between the I4FA Nexus and the agroecosystem and to discuss the challenges in the sustainable FAI that can be assisted by the I4 technologies. This objective was fulfilled by (a) reviewing all the relevant publications and (b) drawing a conceptual relationship between the I4FA Nexus and the agroecosystem, in which the I4FA Nexus is categorized into socio-economic and environmental (SEE) perspectives. Four points are highlighted in the present review. First, I4 technology is projected to grow in the agricultural and food sectors today and in the future. Second, food agriculture output may benefit from I4 by considering the SEE benefits. Third, implementing I4 is a challenging journey for the sustainable FAI, especially for the small to medium enterprises (SMEs). Fourth, environmental, social, and governance (ESG) principles can help to manage I4's implementation in agriculture and food. The advantages of I4 deployment include (a) social benefits like increased occupational safety, workers' health, and food quality, security, and safety; (b) economic benefits, like using sensors to reduce agricultural food production costs, and the food supply chain; and (c) environmental benefits like reducing chemical leaching and fertilizer use. However, more studies are needed to address social adaptability, trust, privacy, and economic income uncertainty, especially in SMEs or in businesses or nations with lower resources; this will require time for adaptation to make the transition away from human ecology. For agriculture to be ESG-sustainable, the deployment of I4FA could be an answer with the support of an open-minded dialogue platform with ESG-minded leaders to complement sustainable agroecosystems on a global scale.

Virtual, augmented, and mixed reality as a versatile tool in food consumer behavior evaluation: Recent advances in aroma, taste, and texture incorporation

The perceptual behavior of consumers on a product displayed in the market has a vital role in analyzing the importance given to that product. Therefore, various strategies have been developed to understand this consumer behavior in the selection of products. Immersive technologies like virtual, augmented, and mixed reality are among them. With the foremost feature of immersion in the virtual world and interaction of users with virtual objects, virtual reality, and augmented reality have unlocked their potential in research and a user-friendly tool for analyzing consumer behavior. In addition to these technologies, mixed reality also has a significant role in investigating consumer behavior. Studies on immersive technologies in food applications are vast, hence this review focuses on the applications of virtual, augmented, and mixed reality in the food selection behavior of consumers. The behavioral studies are elicited to develop new products based on consumer needs, to understand the shopping behavior in supermarkets for real-time usage, and to know the influence of emotions in a selection of products. The findings suggest that virtual, augmented, and mixed reality induce immersion of the users in food selection behavioral studies. Information on the technological advancements in the tools used for bringing immersion and interaction are discussed for its futuristic applications in food. Though immersive technology gives users a realistic virtual environment experience, its application in food systems is in the budding stage. More research on human response studies would contribute to its innovative and inevitable application in the future.

The Impact of Information Infrastructure on Air Pollution: Empirical Evidence from China

Information infrastructure construction has become an essential support for the new global technological revolution and industrial change. To examine whether information infrastructure can mitigate the level of air pollution, this paper measures the development level of information infrastructure in each region using the entropy-TOPSIS method based on the data of 31 Chinese provinces from 2013 to 2020. On this basis, it explores the impact of information infrastructure on atmospheric pollution and its mechanism using spatial measures and mediating effects. The results show that: (1) Information infrastructure can effectively improve air quality, though its spatial spillover effect is not obvious. (2) In addition to directly reducing air pollution, information infrastructure can also improve air quality by influencing industrial structure upgrading, or by influencing technological innovation first and then industrial structure upgrading. By exploring the impact of information infrastructure on air pollution and its action path, this paper expects to provide some scientific reference value for the construction of information infrastructure under the background of the new global technological revolution.

Responsible innovation and ethical corporate behavior in the Asian fashion industry: A systematic literature review and avenues ahead

Fashion firms have transferred their manufacturing processes to Asia, seeking minimum labor costs, supported by the academic literature’s proposals for alternative supply chain configurations to maximize profits. Fashion industry has undergone public analysis, facing demands for greater transparency about environmental and social sustainability. The growing public awareness of sustainability issues has led firms to declare their commitment to sustainable resources, but few changes have been registered. United Nations Economic Commission for Europe listed technological innovation as a key tool for making the fashion industry transparent and traceable regarding sustainability and circularity. The research and responsible innovation framework indicate appropriate ways to manage innovation from a responsible and ethical perspective, according to ethical corporate behaviour (ECB), particularly in the industries characterized by productive phases processed in more countries, such as the fashion industry. However, the linkages between responsible innovation, ECB towards innovative and sustainable business models, and their conceptualization, are still unclear in the fashion industry, achieving the goals included in the UN 2030 Agenda. This study draws on bibliometric analysis and systematic review of the literature on 114 articles published between 1990 and 2021 allows to identify the above issues in the research domains, and outline the evolutionary trajectories, as well as to explore the literary corpus about responsible innovation (RI) in the ethical corporate behaviour (ECB) of the fashion industry and its Asian suppliers. The results highlight that fashion brands strive to develop RI and ECB along their supply chain. Still, the misalignment of corporate ethics and cultural values represents a significant obstacle to the adoption of business models, especially to achieve the goals of UN 2030 Agenda. To the best of our knowledge, this is the first study that discusses RI as enabling driver in the ECB for fashion companies also defining a future research agenda including RI, ECB, iSBMs towards SDGs.

Transforming Innovation Systems into Innovation Ecosystems: The Role of Public Policy

This study investigated the role of public policy in transforming innovation systems into innovation ecosystems. Despite the numerous studies that examined the role of innovation policies in promoting innovation systems and the increasing attention paid to the transition from innovation systems to innovation ecosystems in the literature, research on the role of public policy in facilitating this transition is sparse. To develop an analytical framework that identifies factors to be considered in policies that facilitate the transition towards innovation ecosystems, we synthesised the literature that investigated (1) the role of policy in innovation systems, (2) new features of innovation ecosystems and (3) the relations between (transformative) policies and innovation ecosystems. To identify these factors, we also drew on the concept of policy layering and the neo-Triple Helix model of innovation ecosystems. Specifically, we identified the following factors: the willingness and capacity of innovation actors to develop cross-boundary interactions on a global scale; an institutionalised civil society based on bottom-up media; and the prevailing sustainability ethos in economic, social and environmental dimensions. These can be used to design and evaluate policies that promote sustainable innovation and development as core features of innovation ecosystems.

Analysis of Customer Satisfaction with the Quality of Energy Market Services in Poland

Environmental protection, sustainable development, quality, and value have become the goals of societal development in the twenty-first century. As the core of environmental protection, the new energy sector has become a widespread trend. In this article, we will look at how well and how satisfied customers are with the energy market’s service. A literature review of energy sector quality and value issues was conducted. The survey was conducted in 2021 in Poland with over 2404 respondents by the CAWI survey. Additionally, it was given a qualitative analysis. In the next step, we applied selected quality management methods and tools. The results of the study clearly show that the respondents expect energy companies to become more involved in building customer–enterprise relationships. Research shows that employees of energy companies should be trained more often in the field of customer service, especially in terms of an individual approach to the customer, which has value for the customer. The authors propose ways to build an arrow diagram to increase customer satisfaction levels. A model of elements determining quality as well as value for clients in the energy market was built.

Production Processes Related to Conventional and Renewable Energy in Enterprises and in the Circular Economy

In modern enterprises, all processes that are understood as structured activities intended for production, i [...]

Application Research of Soft Computing Based on Machine Learning Production Scheduling

An efficient and flexible production system can contribute to production solutions. These advantages of flexibility and efficiency are a benefit for small series productions or for individual articles. The aim of this research was to produce a genetic production system schedule similar to the sustainable production scheduling problem of a discrete product assembly plant, with more heterogeneous production lines, and controlled by one-time orders. First, we present a detailed mathematical model of the system under investigation. Then, we present the IT for a solution based on a soft calculation method. In connection with this model, a computer application was created that analyzed various versions of the model with several practical problems. The applicability of the method was analyzed with software specifically developed for this algorithm and was demonstrated on a practical example. The model handles the different products within an order, as well as their different versions. These were also considered in the solution. The solution of this model is applicable in practice, and offers solutions to better optimize production and reduce the costs of production and logistics. The developed software can not only be used for flexible production lines, but also for other problems in the supply chain that can be employed more widely (such as the problem of delivery scheduling) to which the elements of this model can be applied.

Implementation of Technical and Technological Progress in Dairy Production

The involvement of people and technical devices is a characteristic feature of technological processes in agriculture. Human access to modernized and more efficient technical equipment determines the differentiation of the proportions of the contributions of human labor and technical equipment to the implementation of production technology on farms. Taking into account the data on manual and machine work inputs, the methodology of determining the technological index level (TL) was presented. The aim of the present study was to present the scope of use of the technological index level to assess the effects of technological progress in the dairy production system, with particular emphasis on cow milking. For the value range of the technological index level (0–100%), changes in the milkman’s work efficiency were presented based on research carried out on farms equipped with milking equipment at different levels of technical advancement. Moreover, the course of changes in electricity and water consumption per liter of milk was determined in association with the technological index level. The issue of simultaneous implementation of various forms of progress was developed based on the example of milking cows with a milking robot. Five categories (ranges) of cows’ milk yield were distinguished and compared with the current yields of cows in the European Union. On this basis, a discussion was initiated on the factors that facilitate and limit the implementation of technical and technological progress in dairy production.

Driving Sustainability through Engineering Management and Systems Engineering

The COVID-19 pandemic has highlighted the somewhat precarious nature of our lives, including the way we work and our lifestyles [...]

Development of Cost Correlations for the Economic Assessment of Power Plant Equipment

A comprehensive cost correlation analysis was conducted based on available cost correlations, and new equipment cost correlation models were proposed based on QUE$TOR modeling. Cost correlations for various types of equipment such as pumps, compressors, heat exchangers, air coolers, and pressure vessels were generated on the basis of extracted cost data. The models were derived on the basis of robust multivariable regression with the aim of minimizing the residuals by using the genetic algorithm. The proposed compressor models for both centrifugal and reciprocating types showed that the Turton cost estimation for carbon steel compressor and Matche’s and Mhhe’s data were compatible with the generated model. According to the results, the cost trend in the Turton correlation for carbon steel had a somewhat lower estimation than these correlations. Further, the cost trend of the Turton correlation for carbon steel pressure vessels was close to the presented model trend for both bullet and sphere types. The Turton cost trend for U-tube shell-and-tube heat exchangers with carbon steel shell and stainless steel tube was close to the proposed heat exchanger model. Furthermore, the Turton cost trend for the flat-plate heat exchanger using carbon steel was similar to the proposed model with a slight difference.

The Impact of the Industry 4.0 Concept on Slovak Business Sustainability within the Issue of the Pandemic Outbreak

Many studies have found that the most significant job structure changes in the Slovak business environment can be expected in production and logistics. The biggest manpower shortages are in the fields of mechanical engineering, production, construction, information sciences and communication technologies, and medical sciences. The smallest manpower shortage can be found in the humanities and social science areas. The main objective of this research was to assess the trends within the Slovak labor market from the perspective of the companies that participated in a survey focused on their assumptions on job structure changes in the context of the implementation of the elements of Industry 4.0. The estimation was based on a questionnaire conducted during the spring months of 2020 with the participation of 175 companies and institutions. The results showed that one third of companies anticipate job cuts in the implementation of smart industry. Along with the job position disposal and the qualified staffs’ need for new jobs, the demands of employers regarding the level of education are growing. On the other hand, three quarters of companies are not only willing but also ready to participate in human resource vocational training and requalification focused mainly on technical skills.

Digital Transformation of Energy Companies: A Colombian Case Study

The United Nations established 17 Sustainable Development Goals (SDGs), and the fulfillment of the 7th, defined as “Ensure access to affordable, reliable, sustainable, and modern energy for all”, requires energy industry transitions and digital transformations, which implies that diverse stakeholders need to move fast to allow the growth of more flexible power systems. This paper contains the case report that addresses the commercial digital transformation process developed at AES Colombia, through the implementation of a modern platform based on specialized applications that use Industry 4.0 tools. The Chivor hydropower project, a 1000-MW powerplant that covers 6% of Colombia’s demand, which is owned by AES Colombia and constitutes its primary asset, is first described. Then, a description of Colombia’s complex market (energy matrix, trading and dispatch mechanisms, and future projects) is presented. Then, the methodology followed for the digital transformation process using modern tools is described. The project, conceived as a broad framework, comprises applications for the management of hydrological, operational, and market information, commercial information systems and platforms to facilitate consultation and analysis by different users. Such an innovative project in the Latin American context has been developed in order reduce risks and to contribute to a sustainable energy supply for the future.

Drivers and Barriers for a Circular Economy (CE) Implementation in Poland—A Case Study of Raw Materials Recovery Sector

Mobilizing industry and transforming industrial sectors to a circular economy (CE) is one of the key areas of activities in the European Green Deal (EGD)—the newest strategy of economic growth in European Union (EU). In the CE, the raw materials that can be recovered from various waste streams play a key role, therefore, recommendations for their management were developed, both at the European and national level. In Poland, the raw material recovery sector is one of the strategic sectors (key industries) described in several documents determining the further directions of economic growth in the country. This paper presents the revision of these documents and guidelines for the implementation of the CE in the raw material recovery sector. The scope of the paper also includes a description of the current state of the raw materials recovery sector and its return, supported by the analysis of drivers and barriers in its further development. In previous years, a dynamic development of the recovery industry was observed, followed by formation of new companies (dominated by medium-sized companies comprising ~50% of entities in the sector) and increasing amount of people employed (~70,700 people). A growing level of processing of secondary raw materials with the use of more and more innovative technologies has been observed, which could contribute to the improvement of the level of innovation of the national economy. There also some barriers, such as the lack of sufficiently developed industrial symbiosis (IS) and long-term support for the implementation of recovery technologies. The growing ecological awareness of society and enterprises themselves, as well as the growing belief in the importance of resource recovery for environmental protection, suggest the possibility of subsequent development of the raw materials recovery sector. Further actions in this field will be taken to strengthen the implementation of the CE in the country.

Application of Machine Learning Techniques in Injection Molding Quality Prediction: Implications on Sustainable Manufacturing Industry

With sustainable growth highlighted as a key to success in Industry 4.0, manufacturing companies attempt to optimize production efficiency. In this study, we investigated whether machine learning has explanatory power for quality prediction problems in the injection molding industry. One concern in the injection molding industry is how to predict, and what affects, the quality of the molding products. While this is a large concern, prior studies have not yet examined such issues especially using machine learning techniques. The objective of this article, therefore, is to utilize several machine learning algorithms to test and compare their performances in quality prediction. Using several machine learning algorithms such as tree-based algorithms, regression-based algorithms, and autoencoder, we confirmed that machine learning models capture the complex relationship and that autoencoder outperforms comparing accuracy, precision, recall, and F1-score. Feature importance tests also revealed that temperature and time are influential factors that affect the quality. These findings have strong implications for enhancing sustainability in the injection molding industry. Sustainable management in Industry 4.0 requires adapting artificial intelligence techniques. In this manner, this article may be helpful for businesses that are considering the significance of machine learning algorithms in their manufacturing processes.

Digitization, Digital Twins, Blockchain, and Industry 4.0 as Elements of Management Process in Enterprises in the Energy Sector

In the 21st century, it is becoming increasingly clear that human activities and the activities of enterprises affect the environment. Therefore, it is important to learn about the methods in which companies minimize the negative effects of their activities. The article presents the steps taken and innovative actions carried out by enterprises in the energy sector. The article analyzes innovative activities undertaken and implemented by enterprises from the energy sector. The relationships between innovative strategies, including, inter alia, digitization, and Industry 4.0 solutions, in the development of companies and the achieved results concerning sustainable development and environmental impact. Digitization has far exceeded traditional productivity improvement ranges of 3–5% per year, with a clear cost improvement potential of well above 25%. Enterprises on a large scale make attempts to increase energy efficiency by implementing the state-of-the-art innovative technical and technological solutions, which increase reliability and durability (material and mechanical engineering). Digitization of energy companies allows them to reduce operating costs and increases efficiency. With digital advances, the useful life of an energy plant can be increased up to 30%. Advanced technologies, blockchain, and the use of intelligent networks enables the activation of prosumers in the electricity market. Reducing energy consumption in industry and at the same time increasing energy efficiency for which the European Union is fighting in the clean air package for all Europeans have a positive impact on environmental protection, sustainable development, and the implementation of the decarbonization program.

Does Energy Poverty Affect Energy Efficiency Investment Decisions? First Evidence from a Stated Choice Experiment

Energy poverty is a multidimensional and continuously growing societal problem, with political roots. In pursuit of mitigating the problem, the European Commission has adopted a bundle of policies, such as consumer protection measures, short-term financial interventions, motivations for energy efficiency (e.g., energy retrofits and replacement of old household appliance) and information campaigns, among others. There is no doubt, however, that increasing the income of vulnerable households would be the most preferred and effective option. Focusing on energy efficiency, a measure typically incorporated in the National Energy and Climate Plans (NECPs) of many Member States as a means to fight energy poverty, this paper aims to shed light on the need to gradually move towards more localized—not to say personalized—actions. In this direction, a labeled choice-based experiment is used, which involves a hypothetical selection between three alternative energy interventions, i.e., house retrofit, upgrading of heating system and upgrading of household electrical appliances. The research aims to integrate the preferences of households from the choice experiment with indicators of energy poverty and establish a connection between energy poverty and energy efficiency investment decisions. The results demonstrate that households’ preferences are affected by qualitative and quantitative aspects of energy vulnerability and sociodemographic characteristics. Furthermore, vulnerable households seem to be more prone to the so-called “discounting gap”, as previous studies also suggest. These findings are worrisome because, without tailor-made support, these households may never escape the vicious circle of energy poverty. To this end, the survey could provide useful information to policy-makers towards developing more robust policies of energy poverty alleviation.

Numerical Modeling of Mine Hoist Disc Brake Temperature for Safer Operation

The sustainable exploitation of raw materials, with improved safety and increased productivity, is closely linked to the development of mechanical mining installations. Mine hoists are designed for the transport of material, equipment and personnel between the mine surface and the underground. The mine hoist braking system is of paramount importance in its safe operation. Thus, for both drum and disc brake systems, the temperature of the friction surfaces is important for ensuring efficient braking, as exceeding the temperature threshold causes a decrease in the braking capacity. In this paper we present a numerical calculation model for the temperature of the braking disc of a mine hoist in the case of emergency braking. A real-scale model was built, based on the cable drive wheel and disc brake system of a hoisting machine used in Romania. Real material characteristics were imposed for the brake discs, the cable drive wheel and the brake pads. The simulation was performed for decelerations of 3, 3.5, 4 and 4.5 m/s2. The analysis shows that regardless of the acceleration and time simulated, the disc temperature reaches its maximum after 1.35 s of emergency braking. This value does not exceed the 327 °C limit where, according to previous studies, the braking power starts to fade. It means that the emergency braking is safe for the acceleration and masses under consideration, in the case of the studied mine hoist.