International Research Symposium on Pure and Applied Sciences (IRSPAS)

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    Employee competencies development framework for industry 4.0 adaptation in the healthcare sector
    (4th International Research Symposium on Pure and Applied Sciences, Faculty of Science, University of Kelaniya, Sri Lanka, 2019) Weerasinghe, W. P. T. D.; Vidanagamachchi, K.; Nanayakkara, L. D. J. F.
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    Procurement optimization with Industry 4.0 in ERP based Sri Lankan apparel industry: a systematic review of literature
    (4th International Research Symposium on Pure and Applied Sciences, Faculty of Science, University of Kelaniya, Sri Lanka, 2019) Chandrasekara, H. A. S. Y.; Vidanagamachchi, K.; Wickramarachchi, A. P. R.
    Apparel industry is the Sri Lanka’s largest export industry and the highest net foreign exchange earner since 1992. It Provides wide range of clothing solutions for renowned international brands. Therefore, satisfying both customers and suppliers is a mandatory requirement in apparel industry. To survive in the market and acquire competitive edge, industries need to invest in advanced technology. However, most companies fail due to poor integration of technology in their supply chain. The concept of Procurement 4.0 has emerged to optimize supply chain performance developing new value propositions and meeting new business needs. It is the integration of Industry 4.0 concepts in procurement. To adapt these new technologies in an enterprise, a strong ERP system which can act as a platform for integration is required. Although Industry 4.0 concepts have been studied in different industrial contexts, a limited number of researches have been conducted on the use of emerging technologies such as Internet of Things (IoT), Robotic Process Automation (RPA), Big data and Cognitive analytics, Artificial Intelligence (AI) and Cloud technologies etc. in relation procurement while more existing researchers have focused on e-procurement. Therefore, this study explores how the ERP based apparel industry can optimize their procurement process with the emerging procurement technologies from Industry 4.0. In this study, a systematic review of literature was conducted based on the keyword-based search and content analysis, and 20 articles were selected out of 50 articles depending on the relevance to the major areas of study. Based on the findings, a framework was developed incorporating Industry 4.0 technologies that can be used in each step of the procurement process and their impact on procurement performance have been identified. In conclusion, this research provides a framework for implementing technology-based procurement practices. Apparel manufacturers can use the developed framework as a guideline to identify the current state of technology implementation in procurement process and to identify the next potential steps towards procurement 4.0. Further, the results of the study could be generalized and applied to any manufacturing industry. Future researches can be carried out to validate this model through a case study approach
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    Readiness assessment model for Sri Lankan apparel industry: Assess current readiness and strategize Industry 4.0 journey
    (4th International Research Symposium on Pure and Applied Sciences, Faculty of Science, University of Kelaniya, Sri Lanka, 2019) Lakmali, G. D. E.; Vidanagamachchi, K.; Nanayakkara, J.
    Sri Lankan apparel industry is the most significant and driving contributor to the country’s economy by constituting a large portion of GDP. It has achieved rapid growth rates over the past four decades. In the highly competitive apparel world, manufacturers search solutions for future problems such as worker inadequacy to minimize human intervention to increase productivity. Therefore, there is a need for apparel manufacturers to align value chain operations with the latest technologies. After the first three industrial revolutions, the world is now experiencing the fourth industrial revolution that integrates emerging digital technologies; cyber-physical systems, Internet of Things, big data, simulation, cloud computing and augmented reality. Industry 4.0 enhances process functions by providing real-time visibility for smooth production flow. As an example, machine learning is capable of monitoring critical factors such as machine life to predict the frequency of machine replacement in factories. Before aligning with Industry 4.0, there is an urgent need for assisting companies to improve their capabilities in a standardized, purposeful and sustainable way. Current literature mentions applications of industry 4.0 in the apparel industry but has not assessed readiness to adapt. This research assesses the current readiness of the Sri Lankan apparel industry to adapt industry 4.0 technologies by developing a readiness assessment model based on a systematic review of literature. Eighty-three articles were found with keywords; Industry 4.0 readiness assessment model, cyber-physical system readiness, apparel industry, etc. Forty-six studies were filtered based on relevance and ten existing readiness assessment models were identified. A set of assessment criteria were recognized as compatible with the literature, and the strengths and weaknesses of each readiness model were evaluated systematically. Interviews with industry experts were conducted in order to identify value chain processes in Sri Lankan context. The readiness assessment model comprises readiness dimensions and minimum requirements under each level. The outcome of this study will help industry practitioners in apparel sector to assess the current maturity level and move up the technology ladder while maximizing operational performance. Further, it is suggested to validate this model in Sri Lankan context through a case study approach.