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Item Impact of IoT Integration on Enterprise Resource Planning (ERP) Systems: A Comprehensive Literature Analysis(Institute of Electrical and Electronics Engineers (IEEE), 2024) Wijesinghe, Shalani; Nanayakkara, Imasha; Pathirana, Rashmi; Wickramarachchi, Ruwan; Fernando, IshenkaThe integration of Internet of Things (IoT) technology with Enterprise Resource Planning (ERP) systems has gained significant attention in recent years. This research study aims to provide a comprehensive analysis of the impact of IoT integration on ERP systems. The study explores the benefits, challenges, and potential solutions associated with combining IoT and ERP. The findings highlight that IoT integration with ERP offers several advantages, such as real-time data collection, improved supply chain visibility, enhanced asset tracking, and predictive maintenance capabilities. These benefits lead to increased operational efficiency, reduced costs, and better decision-making. The integration of IoT with ERP also presents challenges that need to be addressed. These challenges include data security and privacy concerns, IoT traffic, and data management. The research identifies potential solutions and best practices to overcome these challenges. Furthermore, the study discusses the implications of IoT integration on various functional areas of ERP systems, such as healthcare, manufacturing, logistics, inventory management, and customer relationship management. The research methodology includes an extensive review of existing literature and case studies. This research provides valuable insights into the impact of IoT integration on ERP systems, offering guidance for organizations considering already implemented IoT-enabled ERP solutions or currently implementing ERP solutions.Item Impact of AI-based predictive analytics on demand forecasting in ERP systems: A Systematic Literature Review(Institute of Electrical and Electronics Engineers (IEEE), 2024) Fathima, Fazaal; Inparaj, Rishani; Thuvarakan, Dushyanthan; Wickramarachchi, Ruwan; Fernando, IshenkaArtificial intelligence (AI) has revolutionized demand forecasting within Enterprise Resource Planning (ERP) systems, offering a powerful tool to enhance accuracy and efficiency in predicting future demand patterns. This literature review explores the impact of AI-based predictive analytics on demand forecasting in ERP systems by synthesizing and analyzing existing research. This paper provides a comprehensive examination of the transformative effects of AI-driven demand forecasting across diverse industries, including fashion retail, biopharmaceuticals, energy management, and transportation. We highlight the unique benefits and applications of AI-driven demand forecasting, such as anticipating customer needs, optimizing inventory levels, and making data-driven decisions, ultimately leading to a competitive edge in the marketplace. Our study emphasizes the importance of AI integration into ERP systems for businesses seeking to enhance decision-making and achieve organizational success in today's dynamic and competitive business landscape. By providing valuable insights and showcasing significant improvements in forecasting accuracy, real-time insights, supply chain efficiency, and risk management facilitated by AI-based predictive analytics, this research contributes to advancing knowledge in the field and offers practical guidance for businesses and researchers alike.Item Challenges Affecting the Successful Adoption of DevOps Practices: A Systematic Literature Review(Institute of Electrical and Electronics Engineers (IEEE), 2024) Nayanajith, Akalanka; Wickramarachchi, RuwanContemporary business organizations are increasingly turning to IT-related tools, particularly software, to enhance the efficiency of their operational processes. As a result, time to deliver to market and the quality of software product has been a major concern to software development companies. Hence these organizations are willing to implement DevOps practices. DevOps has emerged as a promising approach in software development and operations, aiming to enhance collaboration, automation, and efficiency in delivering high-quality software products. While DevOps practices have gained significant attention globally, the successful adoption of DevOps practices in specific regions, may encounter unique challenges for various reasons. It also has become a critical endeavor for organizations in the developing countries, like Sri Lanka, seeking to enhance their software development and delivery processes. This systematic literature review explores the challenges affecting the successful adoption of DevOps practices by extensively analyzing relevant scholarly articles, conference papers, and industry reports. The identified challenges encompass organizational culture, technical infrastructure, skill gaps, regulatory compliance, and resource constraints. More specifically, the analysis revealed major challenges such as resistance to change, absence of supportive and visionary leadership, outdated legacy systems, high cost of investment, skills gaps, communication gaps between development and operations teams, and a deep-seated company culture.Item Adoptability of Chaos Engineering with DevOps to Stimulate the Software Delivery Performance(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2023) Arsecularatne, Merishani; Wickramarachchi, RuwanThe efficiency of the business processes has a major impact on improving the productivity of organisations. Many organisations use IT-related tools, primarily software, to enhance the efficiency of their business processes. Therefore, timely and reliable delivery of software products has become a top priority. As a result, advancing the concept of “Agility”, organisations implement DevOps practices. However, maintaining the quality of the software delivery service has become an issue due to several challenges related to the implementation of DevOps. Hence, this study was conducted with the aim of understanding the DevOps-related challenges and how “chaos engineering” can be applied along with DevOps to address those challenges. The practice of "chaos engineering" contributes to the reduction of chaos. A systematic literature review was conducted to investigate the concept of “chaos engineering” and the challenges that DevOps-implemented organisations face. Later, a qualitative study was conducted to see how chaos engineering practices can be used to address the identified DevOps challenges. Based on the thoughts and views of the industry experts who participated in this study, it was revealed that implementing chaos engineering with DevOps helps organisations address most of the DevOps challenges both directly and indirectly. Also, the study suggests a methodology to implement chaos engineering with DevOps within organisations to successfully overcome DevOps-related challenges.Item Strategic Decision Making for a Resilient Supply Chain during a Pandemic(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022) Madhavi, B. R. Hasini; Wickramarachchi, RuwanDue to the impact of the COVID-19 pandemic, many organizations experienced supply chain disruptions to various degrees. Due to the nature and magnitude of the pandemic, many commonly practiced supply chain practices became impractical, highlighting the importance of building up resilience in the supply chain network to enable them to operate effectively in uncertain conditions. In an organizational context, modern-day supply chains are prone to experience quick disruptions because of their inherent complexity. Due to the nature of the Sri Lankan economy, the scope of disruption to trade and the ripple effect of disruptions to associated industries would be different from those of developed nations. The objective of this study is to understand the concept of supply chain resilience and its applicability when facing a critical disruptive force such as a pandemic. A thorough literature review and interviews were conducted with leading FMCG companies in Sri Lanka to determine how supply chain resilience could be achieved by overcoming the most critical risks encountered during a pandemic. Based on the data collected, a conceptual framework was developed to support strategic decision-making to achieve supply chain resilience during high-impact low-frequency disruptions such as a pandemic.Item Identifying interrelationships of key success factors of third-party logistics service providers(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021) Perera, Theruwanda; Wickramarachchi, Ruwan; Wijayanayake, A. N.To be more cost-effective as well as to maintain a sustainable competitive advantage, many enterprises tend to improve their business practices by having a strong relationship with third-party (3PL) logistics service providers. The main objectives of this paper are to determine the key success factors associated with the Sri Lankan 3PL industry and identify the interrelationships of these key success factors. A systematic literature review and expert opinions were used to identify the key success factors of the 3PL industry in Sri Lanka. In total 21 key success factors were obtained, and those key success factors were grouped into four categories as organization strategy, management, and process, human resources, and customer orientation. Q-sort technique was used to group key success factors into four categories. Decision-making trial and evaluation laboratory (DEMATEL) method was used to capture the interactive relationships among the key success factors of 3PL service providers, and the casual effect map analyzed. Data were collected through questionnaires from middle and senior-level managers of 3PL firms. A total of eleven experts in the 3PL industry participated in the data collection process. The result shows that organization strategy is a core success factor since it has both high prominence and high interrelationship. Management and process were classified as driving factors since they had a low prominence but a high interrelationship. However, human resources and customer orientation had high prominence but low relationship, which are influenced by other factors and cannot be directly improved. The findings may assist managers to formulate long-term flexible decision strategies in their 3PL firms.Item Decision-making models for a resilient supply chain in FMCG companies during a pandemic: A systematic literature review(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2021) Madhavi, B. R. H.; Wickramarachchi, RuwanDecision-making during a crisis impacts the performance of an entire organization. Due to the COVID-19 pandemic, many organizations had undergone supply chain disruptions due to the forward and backward propagation of disruptions in the global supply chain networks, implying the importance of building up resilience in the supply chain networks. This study intends to systematically review the existing literature to determine the impact of optimal decision-making during crises to build up supply chain resilience. The paper has focused on the need for evaluating the impact of the COVID- 19 pandemic on the FMCG industry and how supply chain resilience would improve in performance during such crises. The study also assessed the existing decision support systems for resilience in a supply chain network and their applicability during a crisis. Some of these models could be used to facilitate decision-making during an epidemic as well. Precisely determining resilience factors affected during an unexpected circumstance would enhance the value of the decision support system in use. Furthermore, it was concluded that the use of quantitative models should be further investigated, as most published work focuses on the conceptualization of a restricted number of resilience factors instead of the development of integrated, comprehensive approaches.Item Transforming Agriculture Supply Chain with Technology Adoption-: A Critical Review of Literature(International Conference on Industrial Engineering and Operations Management, 2020) Karunanayaka, Chapa; Vidanagamachchi, Kasuni; Wickramarachchi, RuwanWith the increase in the global population, natural disasters and climatic changes the agricultural supply chain faces lots of challenges due to fluctuations of both supply and demand sides. This is adding pressure on the agriculture supply chain demanding it to be more productive and efficient. Adapting to technology to improve the agriculture supply chain have been identified as one solution. As the rest of the world is moving towards digital transformation, agriculture supply chains should follow the suite in order to meet the current challenges they face. This article reviews the literature on technology and technology applications in the agriculture supply chain. This article has identified the technological applications that have been built with respect to agricultural processes. Among them, it has found that, IoT as the technology which was based on many technology applications developed within the past few years. Further, this highlights IoT, Big Data and Blockchain as true enablers for the transformation of the agriculture supply chain to a digital agriculture supply chain.Item Designing a Data Governance Model to Implement GDPR in Sri Lankan Enterprises(International Conference on Industrial Engineering and Operations Management, 2021) Ranathunga, P.A.Indhumini; Wickramarachchi, RuwanThe volume and complexity of data have expanded while demanding the need for specialized data protection solutions for many data-driven enterprises. Personal data is the internet's new oil and the digital world's new currency, has a big impact on privacy and security. Various laws have been implemented in many nations to protect people's personal information. One of them is GDPR (General Data Protection Regulation), which is particularly relevant for EU data processing businesses. Though it does not apply directly to Sri Lanka, it is directly applied to European Union counterparties. To avoid losing business with the EU, Sri Lanka must also comply with GDPR. Although there aren't many resources for GDPR implementation guidance, the existing ones are not very comprehensive. To resolve the issue, we went through a series of processes to construct a comprehensive model, after which we were able to develop a data governance model to deploy. The data governance model provides extensive direction for data management. We established the indicators and drivers that must be observed while applying the GDPR principles through interviews with industry professionals and completing an extensive literature study. A data governance model is provided in this study for data-driven organizations to simply implement compliance.Item Business process reengineering in public sector organizations: Systematic literature review of critical success factors(International Conference on Industrial Engineering and Operations Management, 2021) Amarasinghe, A.A.T.M.; Wickramarachchi, RuwanBusiness Process Reengineering (BPR) focuses on critically analyzing existing business processes in an organization and redesigning enhanced effectiveness and functional efficiencies. Although private sector organizations have widely adopted BPR, it has been observed that public sector organizations are less successful in utilizing this exercise to improve their processes. This paper aims to investigate and identify the critical success factors (CSFs) that impact the implementation of BPR in the public sector and develop a framework to support improving success rates. A critical review of the literature was conducted to identify CSFs and derived fifteen CSFs that influence BPR implementation in the public sector under five dimensions. According to findings, Management commitment, financial resources, organizational structure, Human resources, and IT infrastructure are the main five CSFs in public sector BPR implementation. CSFs of BPR are crucial for an organization to achieve the end goal or mission of the BPR project.