Enterprise Solutions Research Articles

Integrating Gen AI and Adaptive AI for Enterprise Solutions

Artificial Intelligence has revolutionized so much that it is influenced into our lives through all day-to-day objects such as phones, IoT objects and other technologies. In the evolution of AI two ground breaking technologies are making a huge impact, Generative AI and Adaptive AI. These technologies can groom the current AI by giving future scope in various domains of digital transformation. When Gen AI is like oxygen in AI as can learn pattern and relationship in a data set well enough to create unique images, text, audio, and video that still adhere to the underlying pattern. Adaptive AI is another emerging field of AI that seek to create intelligent systems to adapt changing circumstances and learning new circumstances. It's so flexible that it is capable of modifying the behavior in response to new information as changes are required in the environment. This paper focus on benefits and scope of integrating both technologies Gen AI and Adaptive AI for the enterprise solutions.

Municipal hazardous waste management with reverse logistics exploration

Municipal waste is collected and processed by or on behalf of municipalities. The term excludes municipal sewage networks, treatment, and garbage from building and demolition operations. Hazardous waste management (HWM) is concerned with handling waste materials that, if not done correctly, can have serious consequences for the environment and human health. Returning a product that has been damaged or destroyed to its original state is called “reverse logistics”, which is distinct from “waste management”. The primary focus of waste management is collecting and handling materials that can no longer be recycled with Smart Grid and Renewable Energy Systems. Unscientific treatment, inappropriate garbage collection, and ethical concerns are the main issues influencing solid waste management. Solid waste management is primarily influenced by unscientific treatment, inefficient garbage collection, and ethical concerns. Soil erosion, water pollution, soil degrading, and air-polluting are some of the side effects of this process. Making smart trashcans using IoT (IoT) devices such as smart sensors is possible with Smart Grid and Renewable Energy Systems. Technology, including IoT systems, can be used to alleviate the concern of waste disposal by generating data on how much waste is produced and collected in the first place, and then using that data and implementing more efficient methods of waste reduction in the future via separation and recycling, for example.The paper presented new municipal hazardous waste management methods and the internet of things. A sensor can be attached to a dumpster to monitor its fill level in Municipal Hazardous Waste Management (MHWM-IoT) municipalities or trash management firms. While still avoiding trash disposal facilities with the room, the IoT enterprise solution may identify the most efficient paths for garbage collectors based on this data. There has been a focus on contamination of the environment and proper waste processing technology implementation. Waste management is a critical issue that the government must address swiftly. Currently, there is limited public awareness of this topic. Too many dangers are associated with bringing out garbage, not today for future generations. As​ a result, the simulation analysis clarifies waste management and attains data management, sustainability, performance, minimal wastage accomplished by recycling, and achieving an efficiency of 95.09%.Consequently, the simulation analysis helps to clarify the process of waste management while achieving data storage efficiency of 95.09 percent and sustainability and performance.

OpenBravo ERP in Enterprise Company

This paper aims to find out the extent of the use of OpenBravo software in an enterprise's ERP. Then compare OpenBravo with other Open Source ERP applications like Odoo. Enterprise Resource Planning (ERP) plays an important role in organizational management. especially in the field of information systems, to produce precise and accurate data. OpenBravo is web-based software and open-source web-based ERP solution for small and medium-sized enterprises and is released under the OpenBravo PublicLicense, under the Mozilla Public License. Openbravo provides a web-based interface, where users can view production, inventory, customer information, order tracking, and workflow information. The modules contained in Openbravo software include general settings, master data management, warehouse management, procurement management, project and service management, production management, sales management, and financial management. In this case, the ERP used is OpenBravo. Comparison with other types of ERP will be carried out and will be discussed in more detail related to the advantages and disadvantages of each ERP discussed. After the comparison and the advantages and disadvantages are discussed, then finally conclusions are made from all the discussions carried out. In this case, the writing methodology used to complete this paper comes from a literature study which contains several things such as the concept of OpenBravo, how OpenBravo works, and the advantages and disadvantages of OpenBravo when compared to other ERPs.

OpenBravo ERP in Enterprise Company

This paper aims to find out the extent of the use of OpenBravo software in an enterprise's ERP. Then compare OpenBravo with other Open Source ERP applications like Odoo. Enterprise Resource Planning (ERP) plays an important role in organizational management. especially in the field of information systems, to produce precise and accurate data. OpenBravo is web-based software and open-source web-based ERP solution for small and medium-sized enterprises and is released under the OpenBravo PublicLicense, under the Mozilla Public License. Openbravo provides a web-based interface, where users can view production, inventory, customer information, order tracking, and workflow information. The modules contained in Openbravo software include general settings, master data management, warehouse management, procurement management, project and service management, production management, sales management, and financial management. In this case, the ERP used is OpenBravo. Comparison with other types of ERP will be carried out and will be discussed in more detail related to the advantages and disadvantages of each ERP discussed. After the comparison and the advantages and disadvantages are discussed, then finally conclusions are made from all the discussions carried out. In this case, the writing methodology used to complete this paper comes from a literature study which contains several things such as the concept of OpenBravo, how OpenBravo works, and the advantages and disadvantages of OpenBravo when compared to other ERPs.

Edge intelligence and agnostic robotic paradigm in resource synchronisation and sharing in flexible robotic and facility control system

The agnostic robotic paradigm (ARP) represents a recent development as the use of robots becomes more common, and there is a need for agnostic robots to cope with rich artificial objects environments. All parties and stakeholders need to seize the imminent opportunity and act on ushering in the revolutionary changes of contemporary robotic and facility control solutions. The scalability and effectiveness of robotic enterprise solutions depend primarily on the availability of operational information, robotic solutions, and their information infrastructure. However, different functions and software of robotics and facilities are being launched in the market. Therefore, this paper investigates the implementation of the emerging ARP for the Industrial Internet of Things (IIoT) and resource synchronisation flexible robotic and facility control system to address this challenge. We propose an Artificial Intelligence (AI) edge intelligence and IIoT-based agnostic robotic architecture for resource synchronisation and sharing in manufacturing and robotic mobile fulfillment systems (RMFS). We adopted simultaneous localisation and mapping (SLAM) as one of the edge intelligence, provided the simulation results, and tested with multiple parameters under different conflicts. Our research suggests that purposely developing an ARP for flexible robotic and facility control system via IIoT assisted with AI-edge intelligence are a good solution for both operational and management level under a cloud platform.

Spartan Face Mask Detection and Facial Recognition System

According to the World Health Organization (WHO), wearing a face mask is one of the most effective protections from airborne infectious diseases such as COVID-19. Since the spread of COVID-19, infected countries have been enforcing strict mask regulation for indoor businesses and public spaces. While wearing a mask is a requirement, the position and type of the mask should also be considered in order to increase the effectiveness of face masks, especially at specific public locations. However, this makes it difficult for conventional facial recognition technology to identify individuals for security checks. To solve this problem, the Spartan Face Detection and Facial Recognition System with stacking ensemble deep learning algorithms is proposed to cover four major issues: Mask Detection, Mask Type Classification, Mask Position Classification and Identity Recognition. CNN, AlexNet, VGG16, and Facial Recognition Pipeline with FaceNet are the Deep Learning algorithms used to classify the features in each scenario. This system is powered by five components including training platform, server, supporting frameworks, hardware, and user interface. Complete unit tests, use cases, and results analytics are used to evaluate and monitor the performance of the system. The system provides cost-efficient face detection and facial recognition with masks solutions for enterprises and schools that can be easily applied on edge-devices.

Nonlinear Programming Model Based on Monte Carlo Simulation

This paper focuses on planning the choice of raw material ordering and transportation solutions for enterprises, and gives the most economical ordering and forwarding solutions for enterprises through quantitative analysis of supplier supply characteristics; and predicts the future production capacity of enterprises through time series analysis models, and finally gives the optimal ordering and transportation strategies. Among them, according to the existing optimal forwarder transshipment scheme to supplement, on the basis of the original consideration of the cost required for the production of enterprises, the model is improved, by increasing the target letter material type purchase limits, the establishment of multi-objective planning model based on Monte Carlo simulation to solve the optimal procurement scheme, the development of transshipment scheme. On this basis, the supplier supply data given in the article is divided in 240 weeks, 24 weeks as a cycle, and its long-term trend fluctuation over time is judged by drawing a time series diagram through SPSS, and the enterprise capacity prediction is made in cycles. In this paper, we find out the single-week capacity by selecting the capacity factor prediction, optimize the model, and substitute it into the improved multi-objective planning model to get the optimal strategy for purchasing and forwarding.

ЕФЕКТИВНІСТЬ ТЕХНІКО-ТЕХНОЛОГІЧНИХ РІШЕНЬ В ОВОЧІВНИЦТВІ

The purpose of the article is to analyze the state of the industry, establish the main problems of its development, make a forecast of its development in the future and show the effectiveness of the results of the implementation of innovative solutions in enterprises. Scientific works on the formation and functioning of the vegetable market became the methodological basis of the research. Methods were used: grouping, monographic, systematization. The results. An analysis of the current state of vegetable production in Ukraine has been carried out, the main problems of its development in modern conditions have been identified, and the results of research on the development and improvement of zonally adapted technologies for growing vegetable and fruit products have been presented. An analysis of possible problems and prospects for the adaptation of the latest zonal technical and technological solutions for the production of vegetable products in modern conditions. The expediency of using the proposed innovations was established, their attractiveness and effectiveness for specific production conditions were determined in order to increase scientific and technical progress in the agricultural sector. The necessity of finding basic farms in different soil and climatic zones of Ukraine for the implementation of app-robation, production inspection and transfer of innovative developments, with comprehensive scientific support, has been proven. Conclusions. The effective development of the vegetable growing industry must be directed along the following path: the introduction of intensive, resource-saving technologies for the production of vegetable products; optimization of the structure of sown areas of the main agricultural crops. Scientific novelty consists in the justification of scientific recommendations taking into account natural and economic zones; rational use of irrigated land; introduction of modern varieties, hybrids of vegetable crops; scientific and methodological support of agricultural production. The practical significance of the publication lies in the definition of the main problems of the development of the vegetable industry in the food market and the determination of ways to solve the problems in the future.

(Nickel) Substrate Nano-ZnO Dye-sensitized Solar Cell Preparation and Performance Research

With the rapid growth and development of the world and global economy, human material and living standards continue to improve and improve, people’s demand for renewable energy has become more and more, and many traditional energy sources, such as oil, natural gas, coal, etc., due to their limited storage capacity, serious environmental pollution during mining, and many other reasons, no longer fully meet the human demand for sustainable use of renewable energy in our era. Therefore, the development of a clean industrial energy is gradually becoming an important solution for contemporary Chinese enterprises to solve the problem of clean industrial energy utilization. Solar cells are an inexhaustible clean and green energy. It has great research and development and application value. It has attracted extensive research attention from social scientists. Among them, solar energy dye-sensitized battery solar plastic cells mainly have The dye process is simple, the cost of the preparation process is low, the conversion efficiency is high, and the large-scale production can be achieved throughout the year. Therefore, it has gradually become a hot spot in my country’s solar power battery technology research in recent years. This article aims to study the preparation and performance of (nickel) substrate nano-ZnO dye-sensitized solar cells. The optimal conditions for the synthesis of ZnO and the influence of different reaction conditions on the growth of ZnO were explored, and the growth mechanism of ZnO was speculated. The photoelectric synthesis catalytic conditions of the microspheres agglomerated between different sizes of ZnO are explored, and the direct influence of the small dye-sensitized micro-solar synthesis cells currently used in the synthesis on the synthesis of small dye-sensitized micro-solar cells is directly affected. Laboratory research results show that in order to use more reactive dyes for dye adsorption in order to improve the efficiency of the conversion using dye sensitizers and solar fuel cells, the dye film needs to pass through ZnO and be adsorbed by the dye at the same time. The morphological structure should not be too dense and the film should not be too thick; at the same time, the absorption of the dye film should be proportional to the overall coating thickness of the film. Therefore, the overall thickness of the film should be moderate when used in ZnO.

Fuzzy-TOPSIS Evaluation of Power Product-Service System: A Framework Driven by Big Data

Power product-service system (power PSS), which combines industrial electric products with electric energy services, is an effective solution for power enterprises under the background of the rapid development of power systems. In the life cycle of power PSS, evaluation decision of power PSS alternatives is of great significance for subsequent implementation. To address the power PSS alternative evaluation problem, a power PSS evaluation framework is explored driven by the big data of stakeholder comments. Based on the multi-stakeholder comments of power PSS evaluation decision’s influence factors, the index system is constructed through analyzing and summarizing the co-occurrence matrix and semantic network diagram of high-frequency words. To determine the fuzzy index value of power PSS alternative, the stakeholders’ vague opinions expressed by trapezoidal fuzzy number are integrated by group decision method. Fuzzy concept is introduced into the classical Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method and fuzzy-TOPSIS method is put forward by using the fuzzy index value. The improved TOPSIS is adopted to sequence the power PSS alternatives. The case of power PSS evaluation of six alternatives for a power enterprise shows that the explored framework is effective and can provide a feasible solution for power PSS alternative evaluation.

Assisting SMEs to Establish RMA Diagnosis Checklist and Innovative RMA Process System to Enhance B2B Innovative Concept Adaptation and Its Value-Added Function

This research attempts to focus on Return Merchandise Authorization (RMA) and the optimization of the RMA solutions. In the meantime, this research establishes RMA Diagnosis Checklist, Innovative RMA Process system, and a number of suggested solutions for Small and Medium Enterprises (SMEs). This research has important implications as it optimizes RMA solutions to B2B problems for SMEs, provides useful information on effective RMA service policies for B2B marketing decisions and creates a general awareness of the importance and rationale of RMA. Finally, this study provides RMA as a diagnostic tool and strategic tactic for SMEs.

Економічне та організаційне забезпечення розвитку туристичного сектора України

The article is aimed at adapting the world experience in terms of supporting the tourism industry in the context of the pandemic and developing a methodology for economic-organizational provision for the development of the tourism sector of Ukraine. The analysis of world experience indicates such priority spheres of policy to support the tourism sector as protection of tourism industry workers, fiscal support and provision for liquidity of tourist facilities. At the same time, the instruments for the economic-organizational development of the tourism sector include the balance of interests of every tourist in particular and tourism sector in general, the support of small and medium-sized enterprises in the tourism sector, the formation of mechanisms for the renovation of tourism sector. The dominant tendency in the tourism industry remains the digitization of tourist services and the transfer of a significant part of advertising activities to the global network Internet. The emphases on ensuring sustainable development related to environmental protection and climate are shifting. The measures related to the promotion of new tourist services in the context of the formation of a holistic image of countries or regions, provision for high-quality jobs in the tourism sector as counteraction to high turnover of workers and the problem of seasonality of services appear to become relevant. An analysis of the situation in the tourism sector indicates the actualization of the transition to local and regional values. Taking into account the fact that in Ukraine the tourism sector is represented mainly by small and medium-sized enterprises, a number of measures are proposed to support such enterprises, including the scheme of the State-issued tourist vouchers; the State-based financial support of enterprises; improvement of regulations governing the tourism business; optimization of quarantine security measures and the creation of a special online platform for supporting tourism sector enterprises. The focus is on developing systemic solutions for small and medium-sized enterprises in the tourism sector, taking into account their critical role in solving employment problems and development of innovations.

Digital Empathy and Supply Chain Cybersecurity Challenges: Concept, Framework and Solutions for Small-Medium Enterprises

Digital Empathy and Supply Chain Cybersecurity Challenges: Concept, Framework and Solutions for Small-Medium Enterprises

Techno-Economic Analysis of 5G Non-Public Network Architectures

The adoption of private 5G networks or Non-Public Networks (NPN) by industry verticals is igniting a digital transformation across various sectors and also leading to industry 4.0. This impetus comes from the integration of private wireless networks with 5G capabilities. Currently, a range of innovative applications and use cases are emerging and resulting in improved enterprise performance and solutions. The potential to boost revenue, stimulate cost reduction, and accelerate Return Of Investment (ROI) makes 5G NPN adoption attractive to industry verticals, network operators and other third-party stakeholders. However, a significant infrastructure upgrade is required, which demands understanding of the complexities of 5G NPN deployment scenarios and their economic implications. This paper addresses these needs by conducting a detailed techno-economic analysis on 5G NPN deployment. The study formulates a techno-economic model that focuses on; (i) Cost savings in support of ROI achieved by enabling Network Function Virtualization (NFV) technology and Neutral Host (NH) concept; (ii) The trade-off study between enterprise goals (cost vs deployment technologies) with a multi-objective sensitive analysis; And (iii) the trends of 5G NPN adoption worldwide. Analytical results confirm savings of up to 53% in Total Cost of Ownership (TCO) reflecting a significant reduction in Capital and Operation Expenditures (Capex and Opex). Simulation analysis identifies a ranking order of deployment parameters, which prioritise the use of Cost saving strategies and Deployment type. And finally, it offers a prediction of a starting annual average worldwide adoption rate of 82.2% with an expected height by 2026.

Исследование процесса остывания битума в надземном резервуаре с целью разработки технологически и энергетически эффективных методов поддержания его температуры

The article is devoted to the study of the process of bitumen BND-60/90 cooling in an elevated vertical steel tank. Attention to this issue is dictated by the fact, that the specific properties of the product increasing viscosity and tendency to solidification during cooling — create difficulties in its operational turnover for the operators, and storage at high temperature leads to deterioration of the commodity properties. The relevance of the study comes from the need to find an energy-efficient solution for enterprises which accept, store and promptly dispense bitumen on an industrial scale. The work was conducted in order to explore the possibility of reducing energy consumption, while heating the product, by optimizing the design of the heater. The object of the research was an insulated tank RVS-3000 with a fixed roof, the prototype of the same volume of which was built by Himstalcon-Engineering LLC in Kaluga. It is assumed, that this tank was filled with bitumen heated to a temperature of 160⁰С. In this work the distribution of the temperature field, as well as the field of velocity of bitumen movement over the volume of the tank, were obtained. This allowed us to formulate preliminary conclusions about promising directions for the development of technologically and energetically efficient methods of maintaining its temperature.

ICTs (Information and Communication Technologies) in the Companies of the City of Sucre

The use of the ICT help us to improve and do more efficient all the work we do, releasing us from repetitive tasks and helping us with more information for the growing of enterprises. With this thought the first step of this project what we did was recompile bibliographic resources which explains in first place what an ICT is, because many people do not know its definition or they confuse with the term, therefore that, we could note the most important indicators to build our queries, plus giving a scale to classify the enterprises in groups in order their use of the technology. The recompiled bibliographic resources are union of the found researching on internet that is updated and some books too. After getting the theory part, we made the added query, this document is divided by areas that are the most significant and can measure the ICTs use in small and mid enterprises; these areas are Infra-Structure, hardware, software, telecommunications and personnel. Following with the project we could visit different enterprises in the city of Sucre that gave us data to then transcribe them in tables and get final results which show the percentages of all the enterprises. Then we analyzed the final results and studied them, we classified the enterprises in our scale, as Systems Engineering students, we proposed three tools that would help the enterprises; these tools are software prototypes, which could a good solution for many enterprises. These software prototypes are Store Control, Personnel Control, and Countable Control. These applications will help the enterprises to improve their performance and save time and money in repetitive tasks in a faster and a more reliable way. At the end we built an informative web page which shows all our work and gives tips to the enterprises for which they can raise their level in the ICTs use.

Pengembangan Aplikasi E-Smes Berbasis Android dengan Waterfall Method Sebagai Solusi Pemasaran dan Pengelolaan Usaha UMKM

Cooperatives and MSMEs (Micro, Small, and Medium Enterprises) are some of the sectors that make a positive contribution to economic growth in Indonesia. The contribution obtained from the existence of MSMEs to GDP reaches 60% with the employment of 116.7 million people or 97.02% of the total workforce that is already working. Even though they have a big role, on the one hand, MSMEs have not been able to optimally manage their business, especially related to business management. The majority of MSME actors have not benefited from the use of digital technology because most MSME business actors have not fully understood the importance of using digital technology. The E-SMEs applications that will be developed for partners in this research are applications built using Java Enterprise Edition (JEE) technology. Java Enterprise Edition technology is a Java development for enterprise solutions, ranging from web-based applications using servlets and JSPs and android-based applications. The advantages of Java Enterprise Edition technology can create a reliable and portable application because Java can be implemented on various platforms and operating systems. In making this application using the Waterfall method which refers to the system development process model called the System Development Life Cycle (SDLC). This research method is a research and development method with the ADDIE approach. The developed e-SMEs application can later be used by Fiara Sulam to do online marketing and also digitally manage their finances.Keywords : E-SMEs MSMEs; Business Management

The change of supply chain in the transformation of traditional retail enterprises to new retail enterprises: A case study of Chinese RT-Mart

With the development of e-commerce industry and the arrival of the new retail era, traditional retail enterprises have to step into the field of e-commerce, change the sales model and redesign the complete new supply chain. This paper mainly introduces the market competition environment and internal reform pressure faced by traditional retail enterprises, taking Ruentex-Mart as an example, analyzes the advantages and problems of supply chain reform, and puts forward corresponding solutions for other traditional retail enterprises.

New digital triad (DT-II) concept for lifecycle information integration of sustainable manufacturing systems

A system paradigm is a typical pattern or model of enterprise architectures (EAs) that describes constitutive system elements and their relations in achieving missions and goals of enterprises. A well-defined system paradigm and EA help enterprises in adopting appropriate manufacturing resources and technologies, optimizing plans, schedules, and controls of production lines, and coping with complexity, changes, and uncertainties of business processes cost-effectively. It is understandable that a system paradigm should be evolved along with the availability and advancement of advanced manufacturing technologies; on the other hand, new system paradigms are mostly inspired by some successful manufacturing applications of new information technologies (ITs). One of the recently developed system paradigms is Digital Manufacturing (DM) where Digital Twin (DT-I) is used to describe the interactions of virtual and physical entities. This paper discusses the concepts of DM and DT-I and rationalizes the relations of DM and DT-I; in particular, the origin and evolution of DT-I are explored in details to identify its limitations to be used as an EA for DM. It is our finding that existing IT concepts show their limitations in supporting smooth transitions when systems have to be reconfigured in dealing with long-term changes in Sustainable Manufacturing, and this is evidenced by the fact of the trend of the shortened lifespans of modern enterprises even with the aids of rapidly developed digital technologies in decades. To overcome these limitations, a new concept so called Digital Triad (DT-II) is coined and the Internet of Digital Triad Things (IoDTT) is proposed as an information integration (II) solution for digital manufacturing enterprises, and their application is illustrated through a reconfigurable robotic system example. The rationales and significances of DT-II and IoDTT as well as future research directions of DM are summarized as a conclusion.

Parallel Matching Pursuit Algorithm to Decomposition of Heart Sound Using Gabor Dictionaries

In order to improve the performance of matching pursuit algorithm, we propose a Parallel Matching Pursuit algorithm to decompose phonocardiogram sounds of long duration. The main goal is to demonstrate the performance of the Parallel Matching Pursuit algorithm (PMP) compared with traditional iterative matching pursuit algorithm to decompose normal and pathological heart sounds of Phonocardiogram (PCG) using a Gabor dictionary. This architecture is implemented in open source Java SE 8 using a concurrency library, which is able to reduce computational cost using multi-threading until 83 % compared with traditional Matching Pursuit. Java language is widely used in the creation of web components and enterprise solutions so based on this point the main idea of this research is to set the base to implement Parallel Matching Pursuit algorithm (PMP) on web platforms focused on the monitoring of heart to sounds. This implementation allows exploring and applying iterative algorithms or sparse approximation which require processing long audio signals with low processing time.