Browsing by Author "Withanaarachchi, A."

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Examine the Impact of IoT for Supply Chain-Based Operations in ERP Systems: Systematic Literature Review
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022) Paththinige, Pavani; Thilakarathne, Kasun; Rathnasekara, Tenisha; Wickramaarachch, Ruwan; Withanaarachchi, A.
This study intends to look into the various ways that Industry 4.0 elevates the capabilities of ERP systems. Over recent years, it is evident that the Industry 4.0 concept has been the birthplace of many innovative technologies across various industries, and the practical implementation of Industry 4.0related technologies is also rapidly expanding across many industries. Moreover, the incorporation of Industry 4.0-related technologies has dramatically increased the performance of organizations and hence led to sustained profits in the long term. By integrating Industry 4.0 technologies such as IoT and RFID into ERP systems, the ERP systems will be able to capture realtime data from the work floor level, enabling ERP systems to provide more accurate analytics and predictions. Therefore, upgrading the existing traditional ERP systems to support these novel technologies presented by Industry 4.0 will undoubtfully contribute to enhancing the capabilities of ERP systems. Among the limited studies investigating ERP systems from the Industry 4.0 perspective, none have focused on conducting a systematic literature review on ERP from the Industry 4.0 standpoint to investigate how Industry 4.0 enhances the capabilities of ERP systems. Therefore, this study contributes to the theory by fulfilling that knowledge gap.
EXPLORING INDUSTRY 4.0 DRIVERS AND THEIR IMPACT ON LOGISTIC SECTOR: A SYSTEMATIC REVIEW
(The Library, University of Kelaniya, Sri Lanka., 2024) Samarathunga, D.; Withanaarachchi, A.
Industry 4.0 marks the fourth industrial revolution, characterized by the integration of advanced digital technologies such as the Internet of Things (IoT), artificial intelligence (AI), robotics, big data analytics, and cloud computing into manufacturing and production processes. This evolution aims to create intelligent and efficient manufacturing environments by enhancing computerization, application, and information exchange throughout the value chain. In the logistics sector, a crucial component of global value chains, the adoption of Industry 4.0 technologies is expected to revolutionize operations by offering real-time information, advanced analytics, and self-sustaining processes, which can lead to increased efficiency, reduced costs, and improved customer satisfaction. However, the adoption of Industry 4.0 in Sri Lanka's logistics industry has been slow due to several challenges, including inadequate infrastructure, high implementation costs, and a shortage of skilled personnel. Regulatory and economic factors further complicate the adoption process. This study aims to address these challenges by exploring key factors that affect the performance of logistics firms in Sri Lanka in the context of Industry 4.0. Through a systematic literature review of 45 empirical publications, the study identifies critical components for successful adoption, including technological readiness, organizational culture, and workforce skills. It also examines how economic fluctuations impact the adoption and effectiveness of Industry 4.0 technologies. The findings offer valuable insights for overcoming adoption barriers and optimizing logistics performance, contributing to the broader understanding of Industry 4.0 in logistics and providing a foundation for future research and practice.
Impact of Workplace Burden Due to COVID-19 Pandemic on Employee Performance
(Smart Computing and Systems Engineering, 2022, 2022) Perera, L. D. L.; Wijayanayake, A. N.; Withanaarachchi, A.
The Sri Lankan apparel industry accounts for 7% of the country's GDP and employs 15% of its workforce. Frightening levels of the spread of Coronsvirus-19 (COVID-19) have captured the attention of the apparel industry not only locally but globally. During this epidemic crisis, identifying the factors that affect the employees' workplace burden in the apparel industry is vital to the GDP of a country like Sri Lanka, as the economy of the country relies on growth in the Sri Lankan apparel sector. Each workplace burden has a distinct impact on employees' job performance. The objective of this study is to determine how the intensity of the COVID-19 epidemic affects employees' workplace burden and performance. Thereby assisting policymakers in responding to how to overcome the workplace burdens of the employees during this epidemic crisis. A mixed research approach, with both qualitative and quantitative data analysis, was used in the research. Considering the past literature and the industry experts’ opinions, factors related to workforce burden due to COVID-19 were identified and categorised into four categories. Partial Least Square (PLS) was used to analyse the relationship between the workforce burden factors and employee performance during the COVID- 19 pandemic period. As the ultimate findings under the data analysis, exposure to COVID–19 and workplace preparation and work-related relationships have a significant positive impact on employees’ performance. The workload has a significant negative impact on the behaviour and results-based employees’ performance that has no significant impact on trait- based performance. Job-related uncertainty in the future has no significant impact on employees’ performance. Improving workplace safety regulations, developing online employee interactions, and increasing immediate management attention to employees are some of the suggestions to mitigate identified workplace burdens. The findings of this study related to the factors affecting workplace burdens must be addressed promptly by policymakers or employers in the Sri Lankan apparel sector to improve employees’ performance and, ultimately, industry performance. The outcome of this research would be useful in the future when a pandemic situation arises.
A Model to Optimize the Sales and Purchases Invoice Payments of Working Capital in the Fast-Moving Consumer Goods Industry
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022) Rathnasekara, J. P. D. T.; Wijayanayake, A. N.; Withanaarachchi, A.
Working capital optimization is critical in real business scenarios since it changes dynamically along with complex physical cash flows. In previous literature, working capital payment optimization mainly focused on the cash conversion cycle and cash on hand. In those studies, the objectives were to maximize the profit, maximize on hand cash flow or minimize the cost during the predefined period. However, in most cash maximization models, the time value of the money concept was not addressed. Further, in real-world scenarios, the time value of the money concept mainly affects the working capital and cash flow performances. In the proposed model, the time value of money concept was considered to get actual available cash at present. The objective of this proposed model is to maximize the current value of the money on hand while minimizing the cost within the considered time frame. The model was tested using Python along with CPLEX libraries. This study will be helpful to researchers, academics, and those working in the finance sector of the manufacturing industry to make better decisions on working capital invoice payments.
Payment Optimization of Working Capital in FMCG Industry: A Systematic Literature Review
(Faculty of Commerce and Management Studies, University of Kelaniya, 2021) Rathnasekara, J.P.D.T.; Wijayanayaka, A.; Withanaarachchi, A.
Working capital management is managing current assets and liabilities which is essential for the FMCG industry since it is dynamically changing while engaging with complex cash flows. Therefore, scheduling the payments related to the working capital is more complex when consider it with the time value money concept. This systematic review is based on the purpose of reviewing the past literature papers which were published on payments optimization of working capital and major research gaps were highlighted. As the methodology, systematic literature review (SLR) method used under the main criteria. Also, this study is mainly based on 27 selected papers, published in peer review journals between 2003 and 2021. There were limited pieces of literature on payment optimization on working capital which implied the fact that limited researches were engaged in this area and most of them were based on working capital optimization but were not considered in terms of the time value of money concept. This study focused on payment optimization models of working capital to schedule them with considering the time value of money concept to get the maximum present value for the working capital. This study will be useful to researchers, academicians and those who are working in finance modelling with optimization area to make decisions on working capital with considering the time value of money.
Review of the State-of-the-Art of ERP 4.0 Systems
(Department of Industrial Management, Faculty of Science, University of Kelaniya Sri Lanka, 2022) Rathnayake, Hasitha; Vimukthi, Lahiru; Gamage, Methmi; Wickramaarachchi, Ruwan; Withanaarachchi, A.
This study looks into the various ways that Industry 4.0 elevates the capabilities of ERP systems. Over recent years, it is evident that the Industry 4.0 concept has been the birthplace of many innovative technologies across various industries, and the practical implementation of Industry 4.0related technologies is also rapidly expanding across many industries. Moreover, the incorporation of Industry 4.0-related technologies has dramatically increased the performance of organizations and hence led to sustained profits in the long term. By integrating Industry 4.0 technologies such as IoT and RFID into ERP systems, the ERP systems will be able to capture realtime data from the work floor level, enabling ERP systems to provide more accurate analytics and predictions. Therefore, upgrading the existing traditional ERP systems to support these novel technologies presented by Industry 4.0 will undoubtfully contribute to enhancing the capabilities of ERP systems. Among the limited studies investigating ERP systems from the Industry 4.0 perspective, none have focused on conducting a systematic literature review on ERP from the Industry 4.0 standpoint to investigate how Industry 4.0 enhances the capabilities of ERP systems. Therefore, this study contributes to the theory by fulfilling that knowledge gap.