Development Of Production Systems Research Articles

Development of a cascade production system finalized to the extraction of all-tomatine-rich fraction using the tomato cannery waste as feedstock

Tomato plants produce, among other defensive molecules, glycoalkaloides (i.e. all-tomatine). All-tomatine, found in highest concentrations in green fruits, leaves and stems, has demonstrated a wide variety of biological activities useful in fields such as agronomy and biopesticides. Despite the interest in its potential use, extraction methods for all-tomatine are few and mostly developed with an analytical scope. In analogy with other active principles (pyrethroids, nicotinoids), the all-tomatine can represent an alternative to the use of synthetic pesticides currently discouraged for their environmental persistence and progressive reduction of efficacy against target organisms.The aim of this work was to attempt the development of a process to extract all-tomatine based on the re-use of tomato waste industry residues as feedstock and to apply a cascade production approach. To do so, the lab-scale methods to extract all-tomatine were employed as a starting point and different tomato portions (green fruits, leaves, and stems) as feedstock. The best process in terms of feasibility and recovery was identified by mixing the extraction (acetic acid 5% v/v) and purification (ammonia 25% v/v precipitation) steps of different methods. The process was successively tested using the residues of the full-scale tomato cannery plant waste composed by stems + leaves (SL), and green fruits (GT) currently not valorized. The best recovery was obtained by the SL (yield of the extract: 10.8 mg g−1 dry matter (DM) of the starting biomass; all-tomatine pureness: 864 mg g−1 DM extract). The use of the acetic acid as extraction agent gave a solvent-free by-product (68% DM starting biomass), reusable as cultivation substrate. At the purification phase, the dialysis-treatment of the wastewater, recovered a solution rich in sugars and organic acid to get a full starting biomass recovery of 85.6% DM starting biomass.

Test Validity Information Data School on Websites Service Education Province Sumatera South

In order to introduce schools to the community, the existence of schools is very important. School data is the identity of the school which contains a brief history of the school and its progress so far through the school profile. Making school data will be one of the school's strategies to reach and attract new students every year. Where information can be accessed online and open within certain limits by the public by utilizing information and communication technology. The website of the South Sumatra Provincial Education Office in terms of presenting information and news is not updated which displays the main titles or headlines in 2015, 2016 and 2019. This study uses the Alessi and Trollip development model which includes three important stages, namely planning , design (design), and development (development). This research succeeded in knowing the validity of school data information on the website of the South Sumatra Provincial Education Office. The results of the research and discussion have been carried out that have been tested for validity after being tested through 2 aspects, namely aspects of media assessment and material assessment that the website product development and information system developed by the South Sumatra Province Education Office are very valid

A two-phase resource-constrained project scheduling approach for design and development of complex product systems

A two-phase resource-constrained project scheduling approach for design and development of complex product systems

Indian Educational Researches: Content Analysis of Studies Published In International Journal of Enhanced Research in Educational Development (IJERED)

This study aims to analyze, the studies published in the International Journal of Enhanced Research in Educational Development (IJERED) in the past ten years. It is a systematic assessment of descriptive literature. The data was collected through document analysis and comparison, and analyzed through content analysis. Frequencies and possibilities of the statistics had been calculated. As IJERED is an open access journal, it is expected that the results of this analysis will give us some traces about the educational field in India. The main focus of this study was on the problems in Indian education over the past ten years. Educational research should be examined from time to time (Pandey, 2004). This study discloses the profoundness and frequency of a topic and complete picture of a field and play a role to the development of knowledge production systems and methods.

CONCEPTS OF SUSTAINABLE ORGANIZATIONAL DEVELOPMENT OF LARGE-SCALE ECONOMIC PRODUCTION SYSTEMS

The formed system of conceptual provisions for ensuring the sustainability of organizational development of large-scale economic and production systems is indicative of the implementation of the author's system of hypotheses regarding: the need to use the integration capabilities of individual business entities to gain advantages in competition and to support the sustainability of coordinated development; supporting the sustainability of large-scale economic and production systems by optimizing the components of the integration base, correctly forming the architecture of large-scale economic and production systems and choosing the most appropriate organizational form; the possibility of modeling the development of large-scale economic and production systems through the correlation of its architectural representation with the stages of the life cycle; the use of the competencies of business entities as a basis for integration interaction within the framework of a certain economic and production system; subordination of the efficiency of functioning and development of large-scale economic and production systems is determined by the degree of disclosure of the potential of integration interaction of input to large-scale economic and production participants. The proof of these hypotheses made it possible to emphasize that ensuring the sustainability of the organizational development of large-scale economic and production systems is achieved due to the optimization of the structure and interaction parameters of strategic business units (participants) of the large-scale economic and production system, which increases the relevance of developments in the field of institutional regulation of the life activities of large-scale economic and production systems . Such formation of large-scale systems creates additional competitive advantages through, for example, the concentration of resources on the most effective business practices or through the creation of a more effective system of calculations. At the same time, the implementation of integration processes or an increase in the scope of activities always causes the manifestation of certain factors-threats and difficulties, the solution of which requires an appropriate economic basis. So, first of all, the increase in the scale of enterprise activity leads to the complication of the organizational structure and the appearance of numerous defects in ensuring the operation of management mechanisms. Secondly, the occurrence of any type of enterprise merger increases the probability of negative manifestation of corporate conflicts. Thirdly, attention should be paid to the threat of dispersal of property relations as a result of integration-disintegration processes. Finally, the variety of possible organizational forms of interaction between enterprises requires a certain theoretical unification.

Evolution of properties of macadamia husk throughout gasification: Hints for a zero-waste energy production system

In-depth information about the transformation of biomass during gasification is the key to the sustainable development of this technology. This study elucidated the evolution of physico-chemical properties of macadamia husk throughout relevant industrial gasification conditions. The technical characteristics combined with high conversion rate highlighted the suitability of this feedstock for gasification. A stable syngas flow rate with high concentrations of CO and H2, reaching a lower heating value of 13.8 MJ m−3 on average was obtained. Relatively porous chars with a majority of micro-mesopores were observed throughout the conversion, which suggests the potential to use the residues after gasification as cheap and efficient adsorbents. In addition, multiple carboxyl and hydroxyl functional groups were present on the char surface. Moreover, a high K content was detected (ranging from 85 mg g−1 for pyrolyzed MH char to 746 mg g−1 for MH gasified char at the conversion rate of 85%) and evenly distributed on the char surface. Such results consolidated the idea of combining the production of energy and cheap bio-fertilizers using the gasification of macadamia husk. The resulting database offered interesting hints for the development of zero-waste energy production systems with biomass gasification.

Micropropagation of Brassavola nodosa (L.) Lindl. using SETIS™ bioreactor

Brassavola nodosa (L.) Lindl. is a tropical epiphytic orchid showing characteristics of interest for the ornamental nursery industry, as well as considered as an endangered species. Problems with traditional propagation methods limit the development of a large-scale commercial production system. The use of micropropagation has been investigated for this species, and the use of liquid in vitro systems showed potential for use of temporary immersion systems, also called temporary immersion bioreactors (TIB) for micropropagation of B. nodosa. This study evaluated the efficiency of the SETIS™ TIBs for the micropropagation of B. nodosa. Explants consisting of young shoots tips measuring between 0.3 and 0.5 cm were collected from 1-yr-old in vitro seedlings of B. nodosa and used for shoot multiplication. Four culture systems were evaluated: a semi-solid in vitro system consisting of 160 mm × 100 mm TP1600 Microbox containing 500 ml semi-solid medium as a control, and a liquid in vitro system consisting of 4 L temporary immersion bioreactor (SETIS™, VERVIT, Belgium) containing 500 ml liquid medium with immersion and aeration frequencies of 2 h, 4 h, and 8 h. For all bioreactor treatments, duration of immersion and aeration was 2 min. Results showed that temporary immersion of B. nodosa explants with a frequency of 2 h and duration of 2 min returned the highest multiplication rates, with 4.6 shoots produced per explant compared with 2.8 shoots per explant in semi-solid agar-based systems. The use of bioreactors also promoted increased growth and development and in vitro rooting, therefore improving survival, and facilitating acclimatization of in vitro-derived plantlets. This is the first study demonstrating a successful protocol for micropropagation of B. nodosa using SETIS™ bioreactors, which could have significant value and impact for the commercial production of this species as well as for conservation purposes. Micropropagation of Brassavola nodosa was achieved using SETIS temporary immersion bioreactors, showing good multiplication rates, increased growth and development and in vitro rooting, thus improving survival and acclimatization ex vitro.

Development of Sustainable Production System “SPS” for Ceramic Products

Development of Sustainable Production System “SPS” for Ceramic Products

Internet of things based automated monitoring for indoor aeroponic system

On the ever-rising urgency of global food security, efforts are required to develop a robust farming technique. This includes the capability of farming in non-agricultural land or indoor spaces. Farming in the air medium, i.e., aeroponic, has persistently stepped in as a viable solution. Aeroponic farming allows efficient water usage while preventing soil related diseases and pests. With the assistance of light emitting diodes (LEDs) and precise electronic monitoring and control, aeroponic may become the suitable farming technique of the future. This work presents an aeroponic system capable of automated monitoring and control of farming parameters. The system achieved both robustness in indoor farming and remote access by employing LED as an artificial lighting system and the internet-of-things (IoT) connectivity, respectively. The test result demonstrated that the system successfully maintained the root chamber temperature below 30 °C with a typical average temperature of 28.8 °C. The system managed a humidity level which prevented plants from drying out. It was also evident that the LED assistance significantly improved the growth quality of <em>Ipomea reptans</em>. The system, data, and analysis presented in this work is expected to facilitate further development of a robust food production system in overcoming the global food crisis.

An early-phase design process to enable long-term flexibility in assembly systems

Assembly systems require to be designed considering flexibility from a holistic perspective to produce the variety of current and future product generations. Reactive ad hoc changes after realizing both the product and assembly system designs require considerable effort and may even be impossible. A systematic collaborative approach that concurrently considers the early phases of product and assembly system development appears to be essential for working with long-term changes. To this end, a greater understanding of the working procedures and design activities concerning flexibility is required. In this paper, this is investigated based on a theoretical framework and a multiple case study at a world-leading manufacturer of heavy-duty vehicles. As a result, a developed early phase design process to enable long-term flexibility in assembly systems is presented. The theoretical implications provided and the findings are also relevant to those involved in the design process of flexible assembly systems.

Industrial symbiosis and agri-food system: Themes, links, and relationships

Industrial symbiosis is an eco-innovative system concept that is based on a circular economy and industrial ecology ideas. This process comprises the movement of materials, energy, and skills across enterprises located within eco-industrial parks, and strives to provide economic, environmental, and social competitive advantages for all the involved parties. Considering that the agri-food system creates a vast quantity of by-products along the supply chain, it is a sector that has huge potential within material and energy recovery systems and fits well into eco-industrial parks. The current study is a literature review that aims to evaluate the interest exhibited so far by scientific research in the topic of industrial symbiosis in the agri-food sector and to highlight the primary analytical techniques that have been used for this topic. Using the paradigm of multiple correspondence analysis, a content analysis was conducted from which the major themes of the researched phenomena emerged. The results indicate that the topic areas are unrelated and somewhat distant from each other. The analyzed case studies have revealed that the authors had neglected the communicative and collaborative elements among stakeholders, and instead focused on the potential use of some tools and approaches. Furthermore, it has been hypothesized that the hiding of information within a supply chain prevents industrial symbiosis procedures from being implemented. This research suggests the necessity of creating communication and cooperation platforms among stakeholders, which would promote the introduction of new techniques and tools for the development of circular production systems.

A strategic decision framework using soft-computing for agri-food production: case study living lab in universities

Designing autonomous or semi-autonomous greenhouses that can supply food under extreme environmental conditions or restricted social distances is an endeavor that has to be considered under pandemic conditions such as COVID-19. However, generally advanced greenhouses have been designed using conventional methodologies that are not integrated easily into reconfigurable designs. Moreover, those design methodologies are complex for novice product designers. This paper proposes a novel SDF (Strategic Decision Framework) to support reconfigurable agri-food production systems design. The framework proposed is based on the Integrated Product, Process, and Manufacturing System Development (IPPMD) reference model that uses reconfigurable manufacturing systems (RMS) and Fuzzy Cluster Mean (FCM) algorithms in its decision support system. As a result, the proposed methodology generates fuzzy clusters using degrees of membership that can describe the design constraints straightforwardly. Those fuzzy clusters support a hierarchical decision-making process, so the design process is easily implemented. Besides, the proposed methodology is deployed in a complex, highly non-linear system (a greenhouse) that has an internal ecosystem autonomously controlled by mechanical, electrical, digital, and telecommunication subsystems. Hence, an innovative design methodology implemented for advanced reconfigurable systems is presented. The results confirm that the proposed SDF can be implemented in complex reconfigurable design systems when the manufacturing decisions are unclear to decision-makers and designers. Thus, this methodology provides useful, coherent information regarding the design process that simplifies decision-making when designing a reconfigurable greenhouse. Besides, this research shows an entirely reconfigurable greenhouse as a living lab implemented at Tecnologico de Monterrey, Mexico City campus to validate the proposed SDF.

Optimization of DevOps Transformation for Cloud-Based Applications

Rapid software development is critical for meeting company objectives and competing more effectively in the competitive IoT infrastructure. DevOps is a growing technique that enables enterprises to provide high-quality software capabilities through automation, to improve team communication, and to increase efficiency across the software product lifecycle. Research problem: Due to the increased demand for new products and technologies, a huge overwork shifted on the organizations for introducing software with pace and to become stable to compete with others. Due to this, the majority of organizations prefer an automated system for product development and require cloud-based applications. The git version control system is used for version management and Docker is used to package code and provide libraries. AWS services are leveraged to deploy an application as a cloud. Jenkins is used as a CI/CD pipeline to manage various phases of development and to make the development process continuous. The ELK stack is used to monitor and visualize the execution of code. In light of the findings, DevOps is an efficient method for cloud application deployment and resource selection based on the relative importance of each optimized objective in terms of value parameters such as cost, memory, and CPU capacity, and that the method can be tailored to specific application requirements. The findings of this analysis indicate that an application can be deployed to the cloud using DevOps techniques. The proposed approach cost 60% less at full weight 1.0 and 11.3% less with no weight compared to the benchmark solution’s 15.078%

Application Fields of Flexible Production Systems and Their Impact on Agile Product Creation

Agility is a central instrument for reacting appropriately to dynamic influences and enabling innovation capability. However, rigid production systems can no longer meet the requirements of agile product development and innovation processes. Flexible production systems like the 'Value Stream Kinematics' provide benefits for producing companies. In this research effort, the ‘Persona-method’ has been used to derive typical individuals who are influenced by a socio-technical system, specifically by a flexible production system. Based on these results holistic use cases of flexible production systems for the product development process and production system development were identified and described as well as discussed in detail. The comparison of agility barriers within industrial companies and the identified specific use cases of a flexible production system shows that agility barriers in product and production system development can be overcome by utilizing a flexible production system.

Formation of strategic alternatives for the development of regional production and economic systems in industrial parks

The article presents the results of research on the formation of strategic alternatives for the development of regional production and economic systems in industrial parks within the framework of the internal rating management mechanism. A generalized scheme of cognitive modeling is proposed, which is based on the synthesis of methods of cognitive analysis, principal components, expert analysis, econometric modeling, which makes it possible to increase the validity of the concepts of the cognitive model and scenarios for the development of regional production and economic systems in the system of industrial parks. The presented cognitive model makes it possible to develop scenarios for the implementation of strategic alternatives for the development of regional production and economic systems, evaluate their effectiveness, and choose the most appropriate development strategy for the current situation, ensuring their sustainable functioning in the system of industrial parks.

Scenarios for the development of regional production and economic systems based on industrial parks

The article presents the results of research on the formation of strategic alternatives for the development of regional production and economic systems in industrial parks within the framework of the internal rating management mechanism. A generalized scheme of cognitive modeling is proposed, which is based on the synthesis of methods of cognitive analysis, principal components, expert analysis, econometric modeling, which makes it possible to increase the validity of the concepts of the cognitive model and scenarios for the development of regional production and economic systems in the system of industrial parks. The presented cognitive model makes it possible to develop scenarios for the implementation of strategic alternatives for the development of regional production and economic systems, evaluate their effectiveness, and choose the most appropriate development strategy for the current situation, ensuring their sustainable functioning in the system of industrial parks. Basic and alternative scenarios have been developed using the example of a regional production and economic system representative of a cluster of companies with crisis development, making it possible to identify the components of the development strategy that require adaptation to ensure the transition of the regional production and economic system representative to a higher cluster. Research data can be used by interested stakeholders: industrial parks, regional production and economic systems, regional authorities.

VENTING, REMOTE AIR SAMPLING AND MONITORING OF AIR QUALITY IN BLASTED MINING EXCAVATIONS: CURRENT PROBLEMS AND SOLUTIONS

Objective: to analyze working conditions and safety of miners involved in mining excavations by drilling and blasting and to develop modern schemes and technical solutions to improve their standards. Methodology: comprehensive and detailed analytical studies of the current problems connected with occupational health and safety of personnel working specifically in lifting mine excavations of different purposes were carried out, on the basis of which the key tasks for their practical solution were defined. Results: The preliminary analysis and analytical studies have determined that the main and most acute problems requiring an urgent solution are connected with the ventilation of mine workings, and the need to improve the means of sampling and express-control of the quality of air from the bottom-hole zone of mines. According to the state standard “System of product development and launching into manufacture” (“DSTU 3974-2000”) the fundamentally new integral system of schemes and technical solutions (having no analogs) was developed. The system allows for efficiently and reliably solving the extremely complicated issues of ventilation, dust and gas removal, air quality sampling, and control (express analysis) of air composition in drilling and blasting mining excavations of different purposes (ore mining, ventilation, material-entry) to the height of 80-100 m. The developed equipment includes a multipurpose high-pressure ejector-type automatic dust collector ADC-1, designed for efficient ventilation of lifting workings and providing normal sanitary and hygienic working conditions for tunnelers while performing their work cycle, and for reliable neutralization of explosion products; the modernized device for remote control of air composition RCAC-20/80 ore-welding ventilation and material-entry from the bottom-hole zone of the lifting excavations. This process can be carried out both with the use of standard special indicator tubes with chemical reagents and with the use of modern electronic gas-measuring apparatuses (“Dräger-2500/5000” made in Germany or their analogs). Scientific novelty: the integration, i.e. bringing into a single system, of developed up-to-date technical solutions for effective ventilation, reliable dust and gas extraction, gas removal, and air quality sampling and control of air composition of the lifting workings by the drilling and blasting method.

Nonlinear mathematical model of an economic soliton

In modern conditions of economic transformation, the functioning and development of production systems is characterized by instability, nonlinearity and dynamism of the main indicators and parameters. The financial and production system is affected by a large number of market, inflationary, social and other disturbances, which leads to the losses in financial stability, a decrease in production volumes, a decrease in demand for manufactured products, etc. Therefore, it is necessary to have an effective management system and operational decision-making. The relevant direction for solving this problem is the development of a flexible intelligent control system that makes it possible to diagnose quickly the unfavorable state of the financial and production system and activate promptly the mechanisms that return the system to equilibrium. In this case, information becomes the main resource of management, which performs an integrating role and is a necessary component when using all other resources. All this predetermines the use of information technology management. With a high dynamism and instability of the external environment, it becomes necessary to apply the methods and approaches of the new science of management, concentrating its attention on the theory of complex systems and nonlinear dynamics, with the help of which complex control systems can cope effectively with uncertainty and rapid changes. The development and use of modern information technologies for enterprise management are based on the introduction of integrated information processing technology and the creation of mathematical methods and computer modeling tools. In the work of information technologies, management is implemented by creating an integrated intelligent computerized system based on the use of economic and mathematical methods, computer technology and communication means, i.e. implements a fundamentally new management platform, which is based on the integration of management information through a mechanism for generalizing the information database and knowledge.

Возможные последствия внедрения умных производственных систем «Умная фабрика» в период интеллектуализации среды обитания

Возможные последствия внедрения умных производственных систем «Умная фабрика» в период интеллектуализации среды обитания

КРУПНЕЙШИЕ ГОРОДА – РЕГИОНАЛЬНЫЕ ЦЕНТРЫ ИННОВАЦИОННОГО РАЗВИТИЯ

The article examines the existing approaches to the definition of the largest cities as regional centers of innovative and scientific development of territories. A study of foreign and domestic experience in the implementation of industrial changes based on spatial agglomeration was conducted, the main models of the implementation of industrial changes were identified, the largest cities – regional innovation centers at various stages of the development of the domestic economy (1989, 2019, 2021) were identified based on the analysis of the patent landscape. The authors formulate a conclusion about the decisive role of the largest cities as points of innovative, scientific and cultural growth in the evolutionary development of territorial production systems.