<abstract>
<title style='display:none'>Abstract</title>
The availability of digital infrastructures and the fast-paced development of accompanying revolutionary technologies have triggered an unprecedented reliance on Artificial intelligence (AI) techniques both in theory and practice. Within the AI domain, Machine Learning (ML) techniques stand out as essential facilitator largely enabling machines to possess human-like cognitive and decision making capabilities. This paper provides a focused review of the literature addressing applications of emerging ML tools to solve various Project Scheduling Problems (PSPs). In particular, it employs bibliometric and network analysis tools along with a systematic literature review to analyze a pool of 104 papers published between 1985 and August 2021. The conducted analysis unveiled the top contributing authors, the most influential papers as well as the existing research tendencies and thematic research topics within this field of study. A noticeable growth in the number of relevant studies is seen recently with a steady increase as of the year 2018. Most of the studies adopted Artificial Neural Networks, Bayesian Network and Reinforcement Learning techniques to tackle PSPs under a stochastic environment, where these techniques are frequently hybridized with classical metaheuristics. The majority of works (57%) addressed basic Resource Constrained PSPs and only 15% are devoted to the project portfolio management problem. Furthermore, this study clearly indicates that the application of AI techniques to efficiently handle PSPs is still in its infancy stage bringing out the need for further research in this area. This work also identifies current research gaps and highlights a multitude of promising avenues for future research.
</abstract>

Artificial Intelligence Applications in Project Scheduling: A Systematic Review, Bibliometric Analysis, and Prospects for Future Research

<abstract>
<title style='display:none'>Abstract</title>
PT. Naruna is a ceramics factory located in Salatiga, Indonesia. In PT. Naruna ceramics, all products are handmade with contemporary designs and have a high artistic value in shape and color. Getting profit is the company’s primary goal, but many companies still need to learn the maximum profit that can be obtained by optimizing their resources, one of which is PT. Naruna. PT. Naruna produces goods based on intuition. As a result, a lot of goods are piled up in warehouses. Meanwhile, with the development of the times, new trends and images will appear more attractive so that consumer tastes and motifs from ceramics will change. In addition, ceramic products that have gone through the combustion process cannot be recycled and must be burned. This research focuses on the production of glasses with three different types according to price. The aim of this paper is to optimize profits by determining the composition of the number of products produced. We used linear programming with a simplex method to solve our problem in PT. Naruna. Linear programming is the most appropriate method for solving problems that exist in PT. Naruna, namely by paying attention to the objective and constraint functions. The objective function is to maximize profit, so it takes the form of a linear equation with the variable X1 being the first type of glass, X2 being the second type of glass, and X3 being the third type of glass. The constraint functions used include the number of products, the number of workers, the amount of clay, and the time for production. The results show that PT. Naruna can achieve maximum profit when producing glass type 1 less than type 3 less than type 2.
</abstract>

The Application of Linear Programming for the Optimal Profit of Pt. Naruna Using the Simplex Method

<abstract>
<title style='display:none'>Abstract</title>
Moroccan companies seek to be competitive worldwide by improving quality, productivity, and customer satisfaction. Lean Manufacturing and Six Sigma are the most popular methodologies for continuous improvement in companies. The objective of this article is to determine the impact of Six Sigma and Lean Manufacturing on the performance of different companies. The data was collected by a questionnaire sent to the various companies and industries in Morocco. 45 companies responded to this study, divided into several sectors. The criteria of this study are based on two levels: Financial and operational performance. A statistical study is carried out by SPSS software to analyze and interpret the collected results. The results of this study show that companies using Six Sigma and Lean Manufacturing methodologies have a positive financial and operational performance compared to companies that only use Lean Manufacturing or companies that do not use Six Sigma or Lean Manufacturing. Therefore, the combination of Six Sigma and Lean manufacturing is the ideal and perfect approach for the continuous improvement of different companies.
</abstract>

Analysis of the Impact of Six Sigma and Lean Manufacturing on the Performance of Companies

<abstract>
<title style='display:none'>Abstract</title>
This review examines the trend of applying theories in LM performance and offers the latest recapitulation of related theories in LM performance. The methodology is based on Preferred Reporting Items for Systematic Reviews (PRISMA) to search for multiple scientific information databases and to guarantee that no important study is overlooked. For the single theory, highly employed theories were the Theory of Constraints, Resource-based View/Natural Resource-based View Theory (RBV/NRBV), and Contingency Theory (CT). Meanwhile, several articles employed integrations of several theories in a publication. Concerning the year of publication, significant growth in articles with underpinned theories was published from 2020 onwards. This study offers several significant contributions to researchers to widen the knowledge related to the adaptation of theories in the field of lean performance, as research underpinned by a theory offers a solid and convincing result in investigating the research problems. The first limitation was the search string to identify the related articles, which could be extended to maximize the article search. The other limitation was the database used which was limited to the Scopus database. Despite the importance of underpinning theory in research, OM has been criticized for the inadequacies of its theory, with only one-third of OM research incorporating theory. However, a limited review was conducted on the theories used in LM performance theory. To reduce this gap, this review examines the trend of applying theories in LM performance and offers the latest recapitulation of related theories in LM performance.
</abstract>

Systematic Literature Review: Theory Perspective in Lean Manufacturing Performance

<abstract><title style='display:none'>Abstract</title>
Organizing manufacturing work in a way that minimizes delays in individual production operations is a key factor in a highly competitive market. One of the key factors to prevent delays is their correct identification and proper definition of methods to reduce their impact on selected parameters of the production process. The study presents the impact of Lean Manufacturing tools (5S, standardization and Total Productive Maintenance) on delays in the manufacturing process. A statistical analysis of the level of delays was performed, which was aimed at showing the essence of using Lean Manufacturing tools to improve the efficiency of the production process. In the example analyzed, the implementation of selected LM tools allowed for a reduction of delays related to failures by approximately 18 hours. 
</abstract>

The Impact of Selected Lean Manufacturing Tools on the Level of Delays in the Production Process. A Case Study

<abstract><title style='display:none'>Abstract</title> Cost-efficient, enabling technologies for keeping and increasing the reservoir recovery rate of oil-formations with high water cut of produced fluids and exhausted resource are really essential. One of the easiest but short-term ways to increase oil production and incomes at development of oil deposits is cost of development and capital cost reduction. Therefore, optimal choice and proper feasibility study on the facilities for multilayer oil fields development, especially at the late stage of reservoir working, is a crucial issue for now-day oil industry. Currently, the main oil pools do not reach the design point of coefficient of oil recovery. The basic feature of the late stage of reservoir working is the progressing man-made impact on productive reservoir because of water injection increasing for maintaining reservoir pressure. Hence cost-efficient, enabling technologies for keeping and increasing the reservoir recovery rate of oil-formations with high water cut of produced fluids and exhausted resource are really essential. To address the above concerns the dual completion petroleum production engineering was proposed. The intensity of dual completion of formation with of different permeability is determined by rational choice of each of them. The neglect of this principle results a disproportionately rate of highly permeable formations development for the time. In effect the permeability of the formations or their flow rate is decreasing. The problem is aggravated by lack of awareness of mechanics of layers' mutual interference in producers and injectors. Dual completion experience in Russian has shown, that success and efficiency of the technology in many respects depend on engineering support. One of the sufficient criteria for the choice of operational objects should be maximal involvement of oil-saturated layers by oil displacement from seams over the economic life of well producing oil. If it is about getting high rate of oil recovery for irregular formations there is no alternative to dual completion and production. The recommended dual completion petroleum production technology enables development several formations by single well at the time. The dual completion petroleum production technology has been more important than ever because it is right not only for formations but for thin layers with undeveloped remaining reserves.</abstract>

Dual Completion Petroleum Production Engineering for Several Oil Formations

<abstract>
<title style='display:none'>Abstract</title>
A new hardfacing alloy within the Fe-Ti-Nb-Mo-V-C alloying system was utilized to restore the working surfaces of cone crusher rotors using Flux-Cored Arc Welding (FCAW). TiC, NbC, Mo2C, VC, Mn, and ferromanganese powders were selected as the base materials for manufacturing the welding wire. The resulting hardfaced layer exhibits a composite structure, with manganese austenite as the matrix and complex solid solution reinforcements with a NaCl structure, closely resembling the formula (Ti0.3Nb0.3Mo0.3)C. The primary advantages of this hardfacing alloy include its capacity for intensive deformation hardening along with high abrasion resistance. The hardness of the hardfaced layer is approximately 47 HRC in the as-deposited state and increases to around 57 HRC after work hardening, surpassing typical hardfacing alloys derived from high manganese steel by about 10 HRC. The efficacy of the alloy was tested in restoring rotors made of Hadfield steel in a PULVOMATIC series crusher model 1145, during the milling of sand-gravel mixtures ranging from 25 to 150 mm into spalls measuring 5 to 20 mm. With an average productivity of approximately 60 tons per hour and a production volume of 300 tons, the utilization of this hardfacing alloy enabled multiple restorations of the rotor while maintaining productivity at a level of 15 thousand tons of spalls.
</abstract>

Restoration of the Impact Crusher Rotor Using FCAW with High-Manganese Steel Reinforced by Complex Carbides

<abstract>
<title style='display:none'>Abstract</title>
The article addresses the issue of quality of life in cities based on developed methodology. A multidimensional approach was adopted, namely 28 subindices characterizing seven dimensions affecting the quality of life in 18 provincial cities in Poland. The developed methodology consisted of two stages. In the first stage, using the indicators, the values of quality-of-life indices for the studied dimensions were determined. In the second stage, using these results, the values of the total quality-of-life indices in the studied cities were measured. Then, rankings for the cities in question were created. In addition, based on the values of the dimension indices and total indices, the levels of quality of life were determined. Relationships between parameters characterizing the sizes of studied cities and their wealth and the determined quality of life were also measured. The Gray Rational Analysis method was used for ranking, and three objective analytical methods were used to determine index weights: Equal weight, Entropy and CRITIC, and the Laplace’s criterion. The results indicate that living standards in the studied cities vary widely, both in terms of the value of the total index and the indices of individual dimensions. The best living conditions were found in Warsaw (the capital of Poland), Białystok and Olsztyn, and the worst in Kielce and Szczecin.
</abstract>

Assessing the Quality of Life of Regional Centres in Poland in the Context of Smart and Sustainable Cities

<abstract>
<title style='display:none'>Abstract</title>
The global shift towards sustainable transportation, exemplified by the increasing adoption of Electric Vehicles (EVs), represents a vital response to contemporary environmental and energy challenges. This study investigates the determinants of consumers’ Desire to Purchase EVs within the unique context of the Medan market, where consumer preferences and market dynamics differ from more globally examined settings. Additionally, it explores the mediating roles of Consumer Awareness Campaigns and Local Industry Partnerships in shaping purchase intent. Through a comprehensive survey of 832 respondents in Medan, Indonesia, the study reveals crucial insights. Government incentives, including tax breaks and rebates, emerge as influential factors, significantly increasing consumers’ inclination to adopt EVs. Equally vital is the accessibility and availability of charging infrastructure, which is pivotal in bolstering consumer confidence in EVs. Consumer perceptions and attitudes have a significant bearing on purchase intent, with positive perceptions regarding environmental benefits, cost savings, and driving experiences contributing to the heightened desire for EV ownership. Effective financial management strategies also play a positive role, emphasizing the significance of sound financial planning and resource allocation. Further-more, this research emphasizes the instrumental role of Consumer Awareness Campaigns in shaping purchase intent. These campaigns are a powerful tool for elucidating the multifaceted advantages of EV ownership, encompassing environmental consciousness, economic feasibility, and enhanced driving experiences. Local Industry Partnerships within the Medan EV market equally contribute to heightened purchase intent, reflecting the synergistic effects of collaborative initiatives.
</abstract>

Optimization of Financial Management for Enhancing the Electric Vehicle Market in Medan, Indonesia

<abstract>
<title style='display:none'>Abstract</title>
Value stream mapping is one of the basic tools used in the processes improvement or design – in accordance with the Lean concept. This paper presents a model of designing production processes and introducing new products to the market based on the analysis of the value streams flow in the production process. Particular attention was paid to the importance of input data necessary to plan a properly functioning production process, which results in a high-value product (from the customer’s point of view). In the paper also the list of all the most important tools supporting all stages of designing new production processes or improving existing processes has been presented. Also the advantages of big pictures analysis using was highlighted. In this case value stream mapping and big picture analysis were oriented on quality in the product development process and contribute to: creating value (based on customer requirements) while maintaining timely deliveries and constant costs (Value Stream Mapping), sustainable use of tangible and intangible resources (removing waste at the design stage). However, from the company point of view, and particular in the cost level, the product can gain value because a lower input is required for its production. After improvement, the process lead time has been shortened in an area where value was not added, but the consequence of implementing the change is an increase in the production volume while maintaining the process transition time – therefore, unit costs of production will change.
</abstract>

Development and Improvement of a Production Company (and their Product) Based on the Value Stream Mapping of Business Processes

<abstract>
<title style='display:none'>Abstract</title>
The article presents the conceptual assumptions of the Smart City in its different phases of development - Smart City 1.0, Smart City 2.0, Smart City 3.0, Smart City 4.0, Smart City 5.0 and Smart Sustainable City. With reference to „Transforming our world: the 2030 Agenda for Sustainable Development” containing 17 Sustainable Development Goals, the article specifically presents the assumptions and practical solutions for SDG Goal 11. A critical analysis of the literature on the subject and a content analysis of the SDG reports revealed a juxtaposition of the diverse capabilities of smart technologies and their insufficient implementation to meet the Sustainable Development Goals in Smart Cities. The reality is not encouraging. The population of people living in slums is growing rapidly, social inequalities are widening, and there is a lack of access to convenient urban transport. There is chaotic urban sprawl, air pollution and insufficient public open spaces. Solutions to urban problems are often interventionist rather than preventive. The rational and sustainable use of modern technology can change this.
</abstract>

Smart City Conceptual Framework in the Context of Achieving Sustainable Development Goals

<abstract>
<title style='display:none'>Abstract</title>
Numerous research studies have focused on the Simple Assembly Line Balancing Problem (SALBP). Although many of these studies have attempted to minimise the number of workstations for a given cycle time (SALBP-1) or min-imise the cycle time for a given number of workstations (SALBP-2), few have focused on the E-type of the SALBP, which is a general NP-hard problem. Therefore, a Systematic Literature Review (SLR) in this area is extremely important. The SALB-E problem involves scheduling a given set of tasks in an orderly sequence of workstations, where task precedence relations are satisfied, and finding the optimal pair of number of workstations and cycle time that maximises line efficiency. The aim of this systematic review was to examine existing research on SALB-E issues and predict future directions for studies on this topic. A systematic methodology was used to review papers published between 1995 and 2023, selected from the Scopus, ScienceDirect, and Google Scholar data-bases. The review showed that future studies should focus on multi- and mixed-model U-shaped and two-sided lines in the SALBP-E. In addition, it may be important to evaluate multiple objective functions rather than just a single one. To solve this problem, it is preferable to develop and refine genetic algorithms and investigate new approaches within the metaheuristic framework.
</abstract>

Optimisation of Simple Assembly Line Balancing Problem Type E: A Systematic Literature Review

<abstract><title style='display:none'>Abstract</title>The possibilities of using cognitive technologies in the organization of systematic industrial enterprise management are described in the article. Strategic links are defined in the development of a system of stochastic models of enterprise management based on artificial intelligence. The possibility of introduction of the Perceptron model in the industrial enterprise management with the purpose of identification of “bottlenecks” in the functionality of business activity and improvement of procedures of decision-making in the framework of creation of the program of development and technical re-equipment of the enterprise is proven. The authors offered an organizational and economic mechanism of operation of an industrial enterprise, which includes new means of implementation of managerial actions through the use of a matrix of assessment of the level of implementation of cognitive technologies. The method of determining priority directions for the implementation of cognitive technologies at an enterprise was developed based on the results of the assessment of the depth of penetration of cognitive technologies and the result obtained from their implementation, which additionally takes into account the resource ratio of the implemented technologies defined as the ratio of estimates of the actual level of competencies to what is needed to work with new cognitive technologies, which allows to obtain the planned economic and organizational effect.</abstract>

Cognitive Technologies in the Management and Formation of Directions of the Priority Development of Industrial Enterprises

<abstract><title style='display:none'>Abstract</title>The article presented the scientific research of buildings construction optimization problems on the basis of interdisciplinary approach that provides synergy of modern approaches of construction organization and technology, economic theory and political economy, as well as applied mathematics. The formation and realization of the economic-mathematical model of optimal sequence groups of construction objects are considered on the basis of a method of sequential analysis of variants, based on dynamic programming. According to the provided research results the proposals were made for acceleration of these processes in construction through the development of program complex “Optimization of object construction process by the criterion of time” on the basis of mathematical modeling methods, which provided the opportunity to further optimize and obtain consistency and reduce the construction terms of this buildings groups for almost a year (360 days or 61%).</abstract>

The Economic-Mathematical Development of Buildings Construction Model Optimization on the Basis of Digital Economy

<abstract>
<title style='display:none'>Abstract</title>
Cognitive technologies and artificial intelligence dynamize the development of the modern world in various spheres. Modern man is not always aware of how often he uses this type of technology, both in everyday life and at work. The conducted literature research has shown a growing interest in the discussed issues. The diagnostic survey allowed the assessment of the level of familiarity with the terms “cognitive technologies” and “artificial intelligence” in the perception of students, doctoral students and employees of a selected university. The auditorium survey technique was used for the research. The research shows that the distance between humans and an intelligent robot is decreasing. A man is inclined to let intelligent robots enter even the most intimate spheres of his life. The article contributes to filling the gap in knowledge about the perception and application of intelligent technologies and the readiness to use them. Furthermore, it sets out further directions for research on this phenomenon.
</abstract>

Cognitive Technologies and Artificial Intelligence in Social Perception

<abstract><title style='display:none'>Abstract</title>The article considers international trends and directions of inclusive growth which is considered as an inclusive economic growth and is measured by heterogeneous growth indicators, as an index of inclusive development. Considering the above, was analysed the existing state of the country’s growth considering the environmental, economic, social and technological components as prerequisites for inclusive environmental management. Thus, the main focus of this article is on the formation of prerequisites for inclusive nature management in socio-economic and environmental practices and their subsequent methodological support. So segments of population prosperity means not just material consumption, but social vision formation and the institutional support creation for enables everyone to participate in the socio-economic achievements. The main gaps in the institutional support of the inclusive environmental management process are disclosed: in the social sphere: limited access to economically viable means that meet the real needs of the population in terms of health care, social assistance, basic education and awareness; in the ecological and economic sphere there is no effective and efficient management of providing the population with products that comply with the requirements of eco-certification and eco-labelling, which negatively affects the replenishment of the state budget and the promotion of the rational use of natural resources. Therefore, in order to create a favourable climate and institutional support of inclusive environmental management, in this article, will conduct a thorough analysis of the status of its components and assess the compliance of the existing conditions with current international requirements for inclusiveness. Inclusive growth requires environmental inclusion, which can be achieved through the introduction of new metrics and resource value indicators in regional development projects and programs. In doing so, measures should be developed and recommendations made to improve further planning and control.</abstract>

Institutional Qualities of Inclusive Environmental Management in Sustainable Economic Development

<abstract>
<title style='display:none'>Abstract</title>
The aim of this research is to study theoretical and practical aspects of the ecological and economic losses from the use of solid domestic waste (SDW) as energy resources in the heat power industry of Ukraine. The methodical approaches to evaluating the ecological and economic losses caused by solid domestic waste (SDW) comprise: the developed algorithm, which evaluates the ecological and economic losses in the SDW use as fuel and energy resources in comparison with basic and project variant; the investigated morphological composition of SDW in the Ukrainian regions, on the basis of which there is proposed a matrix for further calculations of the ecological and economic loss from atmospheric pollution as a result of the energy-intensive SDW combustion at the power plants by the Ukrainian regions. The efficiency of using SDW as secondary energy resources, which essentially depends on the conventional energy resources combustion, is proved. According to the chemical and morphological composition of SDW, the average amount of harmful substances by their element constituents of SDW is determined. The economic loss from the combusting 1 ton of SDW as energy resources is estimated. Reasonability of using SDW as energy resources, based on the optimal ratio between conventional resources and energy-intensive SDW through minimizing total production costs and possible ecological and economic loss, is grounded. It is proved that while estimating the ecological and economic losses, it is necessary to consider the SDW morphological composition and regional specific features regarding the location of heat and power enterprises and organized storage landfills. It is grounded that the obtained estimates of the ecological and economic losses may be used for identifying the ecological and economic evaluation of the SDW efficiency use in the heat power industry at the regional level.
</abstract>

Objectivation of the Ecological and Economic Losses from Solid Domestic Waste at the Heating Enterprises

<abstract><title style='display:none'>Abstract</title>Over the last few years, the Industry 4.0 concept (called the Fourth Industrial Revolution) has attracted attention among both academics and practitioners. Industry 4.0 is a very broad domain including production processes, efficiency, data management, relationship with consumers, competitiveness, and much more. Therefore, the aim of the paper is to present new factory archetypes. The manuscript uses a synthesis of literature (scientific studies and industrial reports). Based on the results obtained, the archetypes of factories of Industry 4.0 are described. The presented manuscript contributes to the development of literature on the concept of Industry 4.0. The results obtained from the analysis of the literature not only summarize the existing knowledge about Smart Factories, but also indicate the directions of potential research.</abstract>

Smart Factories in the Age of Industry 4.0

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Management Systems in Production Engineering

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