Enterprise Resource Planning Research Articles

CREATION, MANAGEMENT, AND USE OF A DATABASE FOR THE MAINTENANCE PROCESS OF PRODUCTION EQUIPMENT IN AN INDUSTRIAL COMPANY

The paper presents the creation of a database of motion norms to support the maintenance management system in an industrial production company, implemented by a team from the Faculty of Mechanical Engineering, VSB - Technical University of Ostrava. This database is intended for filling and optimal use of maintenance modules of ERP systems and for use in the processes of preparation of maintenance and service orders. The article focuses on the methodology of creation, characteristics, use and availability of this database and its application in industrial practice.

FORMATION OF A CONTROL SYSTEM IN AN AGRO-INDUSTRIAL ENTERPRISE

The article examines the importance of control in the management systems of agro-industrial enterprises, which is critical for ensuring their stability and effectiveness in a dynamic environment. The aim of the article is to analyze, systematize, generalize, and improve the theoretical and methodological foundations for the formation of a control system in an agro-industrial enterprise. It is determined that in the context of constant changes affecting agriculture, the control function becomes particularly significant as it helps adapt enterprises to new challenges and prevents negative consequences. The study presents the elements of the control system in agro-industrial enterprises, which include: planning (establishing goals, defining standards, and developing plans that serve as a basis for further monitoring and control), monitoring (constant collection and analysis of information on the execution of production processes), deviation analysis (evaluating performance results and comparing them with planned indicators), and feedback mechanisms (providing information on the effectiveness of production processes and their results, which is used to update plans and improve subsequent stages of control). Key control tools applicable at all stages of agro-industrial enterprises' activities are presented: planning and forecasting, result analysis and reporting, monitoring and information, auditing and inspections, quality control of products, budgeting, verification and compliance with environmental standards, personnel management, risk management, and technological control. It is found that timely application of control tools helps avoid losses and maintain high product quality. The purpose of control is justified as ensuring compliance of all production processes with established plans and standards to achieve economic efficiency, reduce costs, and improve product quality. The study allowed for the identification of the significance of integrating modern control methods and information technologies, which significantly enhance the effectiveness of management processes. It is noted that the application of modern technologies, such as ERP systems, IoT, and analytical platforms, significantly improves control over all stages of production and supply.

Blockchain in Enterprise Resource Planning Systems: A Comprehensive Review of Emerging Trends, Challenges, and Future Perspectives

Abstract This research paper conducts a systematic review of the integration of blockchain technology with Enterprise Resource Planning (ERP) systems, a burgeoning field at the intersection of advanced technology and business management. The primary objective is to bridge the knowledge gap by synthesizing existing literature, providing insights into the current state, challenges, and potential of blockchain in enhancing ERP systems. The study follows a structured methodology involving four key stages: Literature Retrieval, Literature Screening, Biblio-metric Analysis, and Content Analysis. A comprehensive literature search in the Scopus database resulted in the identification and analysis of 250 scholarly articles, narrowed down to 66 relevant publications. The findings highlight a significant trend towards decentralized ERP solutions, driven by blockchain’s promise of enhanced security, transparency, and efficiency. Key areas impacted by blockchain integration include supply chain management, accounting, security, traceability, purchasing, and process automation within ERP systems. The bibliometric analysis reveals a growing academic interest in this domain, with a focus on scalability, data security, and interoperability. However, the integration faces challenges such as technical complexity, cultural resistance, and regulatory uncertainties. The study concludes that while blockchain presents transformative opportunities for ERP systems, realizing this potential requires overcoming substantial technical and organizational hurdles. Future research should concentrate on developing scalable, interoperable blockchain solutions, tailored to specific industry needs and compliant with regulatory standards, thereby facilitating widespread adoption and maximizing the benefits of blockchain in ERP systems.

Business Process Clustering in Small and Medium Manufacturing Industries Based on Enterprise Resource Planning Concepts: A Systematic Literature Review

Abstract Business process management has become increasingly important in the manufacturing sector, playing a vital role in fostering productivity and facilitating organizational adaptability to technological advancements. Although each company’s business process models vary in uniqueness and complexity, certain similarities can be identified from these differences. This study employs a systematic literature review to aggregate and summarize findings on business process models, modeling languages, clustering techniques, and foundational clustering principles. Results demonstrate the dearth of research on the grouping of business process models in the manufacturing industry. Several studies have focused on sectors such as services, trading, and insurance. Research specifically addressing clustering in the manufacturing sector is limited. Existing clustering efforts in manufacturing revolve around groupings related to product defects, industrial locations, business ecosystems, and similar factors. Analysis of the methods, scope, and criteria used in grouping business process models in the manufacturing industry indicates that most approaches rely on structural or graphic similarities. Follow-up research is lacking once these business process clusters are identified. This study proposes a novel approach to grouping, integrating business process modeling with the implementation of a management information system. Business process management relies on integrating departments within the company through an enterprise resource planning (ERP) system. The next step involves proposing a conceptual framework to categorize business processes and assess the comparability of models in the manufacturing sector. Future research directions are also delineated.

Modular design and custom development in ERP systems

Abstract. Enterprise Resource Planning (ERP) systems are integral to modern business operations, offering streamlined processes and enhanced efficiency. This paper explores the advantages and disadvantages of modular design in ERP systems and examines custom development methods to address unique industry requirements. The study highlights the benefits of modular design, such as flexibility, scalability, and reduced complexity, while also addressing challenges like integration issues and system fragmentation. Strategies for efficient module integration, including standardized protocols and middleware solutions, are discussed to mitigate these challenges. Custom development methods, including vendor tools, scratch-built modules, and third-party collaborations, are analyzed for their effectiveness in achieving tailored ERP solutions. Case studies from the manufacturing, healthcare, and retail industries illustrate the practical applications and outcomes of modular ERP systems, providing insights into the implementation process and potential obstacles. The findings underscore the importance of careful planning, stakeholder involvement, and comprehensive training to ensure successful ERP system deployment and utilization.

Artificial Intelligence in SAP S/4HANA: Transforming Enterprise Resource Planning through Intelligent Automation

This comprehensive article investigates the transformative impact of AI-enhanced SAP S/4HANA Finance across healthcare, manufacturing, scientific research, auto, food & Oil &Gas sectors, focusing on human-AI collaboration patterns and implementation outcomes. Through a mixed-methods approach analyzing 15 organizations over 18 months, the research examines how AI integration transforms traditional ERP functionalities into intelligent financial management systems. The article collected data from 450 end-users and 45 key stakeholders, employing both quantitative metrics and qualitative assessments to evaluate implementation patterns, challenges, and success factors. The findings reveal significant improvements across all sectors: healthcare organizations achieved 40% reduction in billing processing time and 15% improvement in collection rates; manufacturing entities realized 35% reduction in unplanned downtime and 22% decrease in working capital requirements; while research institutions demonstrated 45% faster grant processing and 35% improved budget forecasting accuracy. The article introduces the Adaptive Financial Intelligence Framework (AFIF) for conceptualizing human-AI collaboration in financial management, contributing to both theoretical understanding and practical implementation strategies. The article concludes that successful AI integration depends on industry-specific adaptations, comprehensive training programs, and robust governance frameworks while highlighting the critical role of human expertise in maximizing system benefits. These findings provide valuable insights for organizations pursuing AI-enhanced financial management solutions while offering a roadmap for future developments in human-AI collaboration within enterprise systems.

Development of ERP System for Outsourcing Company using Internet of Things and Blockchain Technology

Enterprise Resource Planning (ERP) systems are pivotal in optimizing operations within outsourcing industries, providing a unified platform for managing business processes. However, the current generation of ERP platforms exhibits significant limitations in seamlessly integrating with emerging technologies such as the Internet of Things (IoT) and blockchain. the paper highlights the transformative potential of effective integration with IoT can offer real-time visibility and operational efficiency such as attendance of the worker, while blockchain can provide robust security and transparency of worker activity through smart contracts. The implementation of an ERP system compared to the traditional manual method to quantify the efficiency gained through this technological advancement. In this analysis, we collected attendance data for 20 employees, documenting the time taken for both manual and ERP-based attendance in seconds. The result of ERP system significantly reduces attendance time. Efficiency is calculated as the percentage reduction in time achieved by using the ERP system compared to the manual method. An average efficiency of 69.05% shows that, overall, the use of ERP is nearly 70% more efficient than the manual method with IoT data transfer using MQTT to blockchain result is 100% retention rate.

Optimizing Agility in the Pharmaceutical Supply Chain Using Digital Twins to Cope with the Ripple Effect

The pharmaceutical supply chain is a multilayered and complex structure designed to deliver medicines to customers in a timely manner while ensuring optimal quality and quantity of medicines. The COVID-19 outbreak exposed the vulnerability and uncertainty of the pharmaceutical supply chain, so managing the risks in the pharmaceutical supply chain has become particularly important. This study demonstrates that digital twin (DT) technology can improve pharmaceutical supply chain agility and reduce the ripple effect caused by disruptions. The ripple effect refers to the effect that a sudden disruption at one node in the supply chain has on causing a chain reaction in the rest of the supply chain. The most used risk management method today is the Enterprise Resource Planning (ERP) system, which allows for real-time data sharing but has limitations in predicting and modeling the entire supply chain and lacks the ability to make quick decisions and simulate the entire supply chain. DT technology creates a virtual model of the supply chain, which enables continuous communication and information exchange between real assets and the virtual model, offering a promising alternative to risk management for pharmaceutical supply chains. risk management by providing a promising alternative. This study utilizes the AnyLogistix platform to construct a DT model and demonstrates the effectiveness of DT technology in reducing ripple effects and improving supply chain agility using quantitative analysis. This paper focuses on analyzing the pharmaceutical supply chain for 75mg aspirin tablets in London. A supply chain that operates normally, a supply chain that introduces a disruptive event (closure of the logistics center due to an earthquake), and a supply chain that applies a proactive strategy (activation of an alternate logistics center) to mitigate risk are simulated separately. The positive impact of DT technology on the supply chain is evaluated by analyzing the methods of key performance indicators (KPIs) such as inventory level, order fulfillment rate, and delivery time. The experimental results show that DT technology enhances the responsiveness, flexibility, speed, and proactivity of the supply chain, which significantly improves the agility of the supply chain. Proactive and effective strategies also reduce the financial impact of disruptions and service levels are quickly recovered. In addition, the proactive strategy stabilized inventory levels and reduced delayed orders. The above key metrics confirm the hypothesis that DT technology can improve supply chain agility and effectively reduce the ripple effect. Despite the significant conclusions drawn in this paper, there are some limitations. Firstly, sensitivity analysis and t-test were not used in the study for secondary testing, which resulted in the lack of reliability of the validation results. In addition, the possible interaction between the ripple effect and the bullwhip effect was not discussed, leading to a confounding factor in the experimental results. The above issues can be considered in further research in the future. Finally, this paper explores the possibilities and uses of introducing machine learning techniques and considers the supply chain risk factors of globalization. In summary, this study validates the potential of digital twin technology in improving agility and coping with ripple effects in pharmaceutical supply chains. As research continues, DT technology is expected to improve supply chain efficiency and reduce supply chain risk while ensuring patient safety.

The Moderating Influence of Enterprise Resource Planning on the Relationship between Electronic Order Processing Systems and Supply Chain Performance of Manufacturing Firms in Uasin Gishu County, Kenya

The Moderating Influence of Enterprise Resource Planning on the Relationship between Electronic Order Processing Systems and Supply Chain Performance of Manufacturing Firms in Uasin Gishu County, Kenya

Open-Source Enterprise Resource Planning Systems for Small and Medium Enterprises: A Conceptual Framework

The growing importance of information management in the digital economy has exerted considerable pressure on small and medium enterprises (SMEs) to implement advanced innovations in technology. Nonetheless, the high costs and intricacy of conventional Enterprise Resource Planning (ERP) systems have constrained their uptake among SMEs. This conceptual study examines the feasibility of Open-Source ERP (OS-ERP) systems as a practical option for Malaysian SMEs, offering a conceptual framework that connects information management capabilities, entrepreneurial orientation (EO), and enterprise success. The article contends that OS-ERP systems can augment entrepreneurial performance by enhancing information integration, strategic decision-making, and enterprise agility. This approach seeks to guide future research and offer practical insights for SMEs and policymakers to encourage digital transformation.

Event-Driven Data Integration to Automate Elevator Service Contract Booking Between MS Dynamics and Oracle JDE with Operational MDM for Master Data Integration

With increasing digitization in industries, data driven integration between enterprise systems is critical for automating business processes and improving efficiency. This paper presents a novel approach to automate elevator service contract bookings by integrating Microsoft Dynamics (MS Dynamics) with Oracle JD Edwards EnterpriseOne (JDE) through event-driven data integration. A key aspect of this integration is the utilization of an Operational Master Data Management (MDM) system to ensure consistency of master data across both platforms. This event-driven architecture significantly reduces manual intervention and improves data accuracy by ensuring near real-time synchronization of data across systems. Paper will also explore a case study where this event driven automation was implemented for a large elevator and escalator manufacturing and services company to reduce overall contract booking turnaround time from 45 days to 5 days and save more than $1M in labor cost over 3 years. Keywords Event-driven integration, master data management (MDM), enterprise resource planning (ERP), MS Dynamics, Oracle JDE, automation, service contract booking, data synchronization.

THE AUDIT PROCESS OF THE IT SYSTEMS OF A COMPANY THAT PROVIDES ACCOUNTING SERVICES

Over the time, IT systems have constantly evolved and for this reason IT systems must undergo periodic audit procedures to see if they enable the achievement of a company's strategic objectives and the efficient use of IT resources. The main purpose of the paper is to investigate how the audit mission is carried out on IT systems (ERP systems) within a company that provides accounting, consulting, payroll and audit services. The role of these IT systems (ERP systems) is to ensure the correct and complete integration of information within a company. ERP systems provide the perfect maintenance of the internal control system, but also the ability of managers to analyse the information provided by these IT systems as correctly as possible. In this article, the author made a case study, analysing the risks of an IT system of a company that offers accounting services using the MEHARI technique. The results obtained showed that the systems are effective and would withstand cyber-attacks, but could be less resistant in terms of specialized attacks (well-equipped hackers, professional spies).

A Real-Time Associative Feature-Based Customer Relationship Management and Enterprise Resource Planning Integration Model for Small- and Medium-Sized Enterprises

Abstract Customer relationship management (CRM) and enterprise resource planning (ERP) have been extensively discussed in the research literature respectively. However, existing studies do not reach a complete agreement on the CRM/ERP integration method, especially for small- and medium-sized enterprises (SMEs). Generally, this work proposed a novel method for CRM/ERP integration approach via associative feature technology. A new feature type, Real-time Data Link Board (RDLB), is developed and detailed as a generic information carrier solution for multisystem integration between CRM and ERP packages. Valuable data elements are mapped into such data boards dynamically and synchronized across different data sources, structures, and databases. The contribution of this work is to present a well-defined and generically reusable data carrier definition, alongside related methods for ensuring consistent data modeling during the system integration phase across various digitalization engineering implementation projects. With this approach, the consistent management of data integration across intricate systems is achievable throughout application lifecycles, supported by the object-oriented software engineering foundation.

Identification of utilization deficiencies post SAP enterprise resource planning implementation in the Algerian Pharmaceutical Sector.

Enterprise Resource Planning like SAP are software solutions integrating various functional aspects. The study investigates the utilization challenges after the adoption of SAP ERP within a pharmaceutical firm. It is driven by four interrelated objectives: comprehending the operation of the SAP, the motivations behind its implementation, identifying the utilization deficiencies, and examining the relation between deficiencies and implementation challenges. A triangulation approach was adopted. The methods employed are based on batch monitoring, data collection, semi-structured interviews, a literature review, an overview of the software package, a comparison of the SAP with the previous management system, and an in-depth implementation study. 38 challenges were found in the literature, in a causal relationship with 11 identified utilization deficiencies in the study field. This analysis emphasized the significance of the human dimension, particularly the training of users, as a critical element in SAP implementation. The advantages gained from implementing an ERP primarily revolve around the users and the processes. Deployment in itself is not an improvement. By recognizing the importance of the human factor, organizations can focus on improving training programs and enhancing user proficiency to maximize the benefits of SAP implementation.

Synergizing Ai and ERP for Predictive Supply Chain Management and Quality Assurance in Healthcare

This article explores the transformative potential of integrating Artificial Intelligence (AI) with Enterprise Resource Planning (ERP) systems in healthcare, focusing on applications in predictive supply chain management and quality assurance. The healthcare industry faces increasing pressure to improve efficiency while maintaining high-quality care, and AI-ERP integration offers a compelling solution. By combining ERP's comprehensive data management capabilities with AI's predictive and analytical power, healthcare organizations can enhance operational efficiency, improve decision-making, and ultimately deliver better patient outcomes. The article examines current implementations, case studies, and future projections to provide a comprehensive overview of how this technological synergy can help healthcare providers navigate the complex challenges of modern healthcare delivery, from optimizing inventory levels to ensuring regulatory compliance and proactive risk management.

The Effect of ERP System Utilization, Inventory Management, and Interdivisional Collaboration on Supply Chain Operational Efficiency in the Automotive Industry

This study examines the impact of ERP system utilization, inventory management practices, and interdivisional collaboration on supply chain operational efficiency in Indonesia’s automotive industry. Using a quantitative approach, data were collected from 120 respondents and analyzed using Structural Equation Modeling–Partial Least Squares (SEM-PLS 3). The results indicate that ERP system utilization, inventory management, and interdivisional collaboration contribute to supply chain efficiency, with a combined effect explaining 67% of the variance in operational efficiency. Findings highlight ERP systems’ role in enhancing real-time data sharing, inventory management’s impact on stock optimization, and collaboration’s ability to streamline cross-functional processes. This study provides insights for industry practitioners seeking to optimize supply chain performance through technology adoption, robust inventory practices, and cohesive interdepartmental collaboration.

OPTIMALISASI POTENSI PENDAPATAN MELALUI INOVASI SI-ERPIN (SISTEM INFORMASI ENTERPRISE RESOURCE PLANNING INNOVATION)

PT Dunia Sandang Pratama is a fabric supplier company experiencing difficulties monitoring orders, ensuring timely deliveries, and producing accurate financial reports. These challenges have an adverse impact on customer satisfaction and operational efficiency. Because of the acute urgency of these issues, this community service project is designed to develop an integrated ERP system with e-commerce functionality to overcome the existing problems, increase efficiency, expand market reach and provide more accurate information to management. This community service is aligned with the United Nations Sustainable Development Goals (SDGs), particularly in fostering innovation and narrowing the digital divide. The service team, comprising four lecturers and five students, employed the Scrum methodology, which is flexible and interactive, to observe, analyse and design the system in collaboration with the partner, PT Dunia Sandang Pratama. The project's initial phase has been completed, including developing e-commerce features and sales modules. The preliminary results indicate an increase in efficiency concerning order management and reporting. Implementing the ERP system has enhanced data accuracy, operational efficiency, and employee competence. From a quantitative perspective, order processing time has been reduced, the incidence of data errors has decreased, and company revenue has increased. From a qualitative standpoint, employee competence in ERP usage has also improved, positively impacting decision-making. In conclusion, the project has successfully supported the company's decision-making processes.

Implementasi ERP Odoo Modul Point of Sale untuk Meningkatkan Operasional Ritel di Toko Ezie

Toko Ezie, a retail business in Nanga Bulik, Lamandau Regency, Central Kalimantan, specializesin selling furniture, household appliances, and bedroom accessories. Established in 2010, TokoEzie still manages its operations manually, particularly in sales recording, inventory management,and financial tracking. This manual system causes problems such as data inconsistency, recordingerrors, and operational inefficiencies. This research aims to analyze the requirements and benefitsof implementing an Enterprise Resource Planning (ERP) system, specifically the Point of Sale(POS) module, to improve Toko Ezie's operational efficiency and effectiveness. This study uses aqualitative descriptive approach with a case study method. Data were collected throughinterviews, observations, and documentation from the owner and staff of Toko Ezie. The researchfindings indicate that the implementation of an Odoo-based ERP system in the POS module willautomate sales processes, monitor stock in real-time, and streamline financial recording. Theintegration between the POS, inventory, and financial modules is expected to minimize manualerrors, improve data accuracy, and optimize customer service. This ERP implementation isanticipated to provide a long-term solution for enhancing the business performance of Toko Ezie.

The Impact of Technology and COVID-19 on Mergers and Acquisitions: Implications for Supply Chain Management

This paper explores the issue of MA as it pertains to Supply chain elements such as Enterprise Resource Planning (ERP), the role of technology, and supply chain efficiency. By exploring the issue further, the research seeks to assess the recent trend of increased mergers and acquisitions (MA) and how the activities affect the supply chain management (SCM) role. The results are important in understanding current trends in SCM when it comes to mergers and acquisitions. The discussion covered the role that COVID-19 played in increased trends in MA and technology's role in MA activities and success. The ultimate goal is to understand how technology and COVID-19 impact MA activities and how, in turn, the supply chain management role gets affected.

Evaluating Enterprise Resource Planning Adoption Using the EDAS Method: A Strategic Approach

Adoption of enterprise resource planning (ERP) systems is the process of putting ERP systems into use inside an organisation. It entails the fusion of diverse corporate operations into a centralised software platform, including finance, human resources, and supply chain management. By enabling real-time utilisation of integrated data and automated processes, ERP adoption attempts to improve decision-making, increase efficiency, and streamline operations. To achieve successful installation and user acceptance, rigorous planning, arrangement, and instruction are needed. For businesses looking to streamline operations and obtain a competitive edge in today's digital environment, ERP adoption is essential. The implementation of enterprise resource planning (ERP) is significant for research since it can help to better understand and manage organisational operations. Scientists can learn more about the elements that contribute to successful implementation, pinpoint best practises, and address issues that organisations have throughout the adoption process by researching ERP adoption. By optimising resource allocation, increasing operational efficiency, and implementing ERP, this research will assist organisations in making knowledgeable judgements. Additionally, research on ERP adoption aids in the creation of frameworks and theories in the discipline of information technology and offers advice to practitioners and decision-makers working on ERP projects. A technique for making decisions that takes into account an alternative's distance from the mean answer is called evaluation based on distance from the average solution (EDAS). It gauges the performance of the alternatives using the distance between them and the typical solution. When evaluating options, EDAS takes both positive and negative distances into account. To rank and choose the best alternative in multi-criteria decision-making issues, this method is frequently utilised. Decision-makers can use EDAS to make well-informed decisions by taking into account how far away various options are from the typical solution. The Shipping took the first place while Tracking took the Last place in the Enterprise resource planning adoption. In this paper Enterprise resource planning adoption, The Shipping took the first place while Tracking took the Last plac