Industrial Management

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    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, Ishenka
    The 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.
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    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, Ishenka
    Artificial 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.
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    Challenges Affecting the Successful Adoption of DevOps Practices: A Systematic Literature Review
    (Institute of Electrical and Electronics Engineers (IEEE), 2024) Nayanajith, Akalanka; Wickramarachchi, Ruwan
    Contemporary 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.
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    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, Ruwan
    With 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.
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    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, Ruwan
    The 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.
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    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, Ruwan
    Business 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.
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    A Systematic Review on Factors Affecting Remote Working Employees During the COVID-19 Pandemic
    (International Conference on Industrial Engineering and Operations Management, 2021) Siyambalapitiya, Narmada; Wickramarachchi, Ruwan
    The pandemic has changed the lives of everyone. To adapt to this unexpected situation employees in most sectors have shifted to remote working and it has become the “new normal” almost overnight. Therefore “telecommuting” has suddenly become a quite popular concept. This current paper systematically reviews the available literature under remote working practices and its impact on employees. It was identified that previous research has focused on different categories of factors. Therefore, the identified factors were categorized accordingly. Also, the impact on employees were closely studied. The current study was conducted through a systematic review of literature using the PRISMA framework. 36 studies which were carried out before and during the pandemic from different countries and sectors related to remote working has been reviewed. Based on the findings of the current review proper guidelines have been provided for the decision makers of organizations and directions for future research has been provided.
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    A Systematic Review on Factors Affecting Lean Marketing Readiness in the Retail Sector in Sri Lanka
    (International Conference on Industrial Engineering and Operations Management, 2021) Illanganthilake, Apoorwama; Wickramarachchi, Ruwan
    This paper is focused on the overview of the organizational factors affecting Lean marketing readiness in the retail sector in Sri Lanka. Retail businesses are one of the fast-growing sectors in Sri Lanka. However, retails have to compete with each other for the small consumer base inside the country. Those retailers should be able to attract their consumers and communicate with them using marketing. This study is conducted as a systematic literature review by reviewing 34 papers using the PRISMA framework. This study has identified several main organizational factors affecting lean marketing readiness: Management and leadership; Lean tools, techniques, and knowledge about Lean concepts; availability of organizational resources; organizational culture and business processes; employees' involvement and skills; communication management. This systematic review is the first attempt to overview the organizational readiness for Lean marketing readiness in the retail businesses area.
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    A Review on City Logistics and Two Echelon Freight Modelling
    (International Conference on Industrial Engineering and Operations Management, 2020) Warnakulasuriya, M.M.; Niwunhella, D.H.H.; Nanayakkara, L.D.J.F.; Wickramarachchi, Ruwan
    When cities are growing in both size and complexity, the freight distribution and management make a significant challenge for transportation management. Freight transportation execution is one of the main sectors that is looked into when planning. The concept of city logistics explicitly tries to optimize the urban transport network and many optimization approaches have been introduced to optimize the vehicle routing methods considering several objectives. Since recent times, there is drawing attention for two-echelon freight consolidation modelling efforts with the emerging of megacities. This paper reviews the available literature under the city logistics modelling, and two-echelon freight consolidation for identifying the perspectives adhered. The study was conducted through a systematic review of literature using multiple studies published under the area of city logistic modeling and two-echelon-distribution modelling in thorough key word base search of city logistic modelling efforts, and performance parameters used for freight analysis within city networks from the findings. The review framework takes into account the diversity and complexity found in city logistics practices. It was evident that there is a lack of modelling efforts in two-echelon vehicle routing for city logistic combining with optimization models for dealing with multiple objective and modeling uncertainty.
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    A Model for On-Premises ERP System and Cloud ERP Integration
    (International Conference on Industrial Engineering and Operations Management, 2020) Niranga, Mahikala; Wickramarachchi, Ruwan
    Market demand changes have led to the emergence of cloud ERP solutions that have become the growing trend nowadays as that they bring new processing capabilities without making significant changes in the existing system. But it alone does not provide businesses with all necessary and best functionalities as different businesses have different requirements. So, integrating multiple best-of-breed applications with cloud to build or fortify a near-custom ERP will automate processes and increase revenue for the business. A survey done by AMR research with 639 companies on integration requirements of SaaS customers shows that 70% of the companies expect to integrate their on-premises legacy applications to the SaaS solution. Also, states that application integration strategy will play the key role in post-modern ERP market. Though integration has been around for over a decade and there are many integration approaches between the two systems, they result in a brittle environment and a progressively more complex architecture as new integrations are added over time. This study analyses whether technological integration, business integration and socio-organizational integration affect the successful integration and aims to develop a model based on the findings for successful integration.