IRSPAS 2019
Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/20453
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Item Development of an industry 4.0 based information sharing model for the apparel industry in Sri Lanka: A systematic review of literature(4th International Research Symposium on Pure and Applied Sciences, Faculty of Science, University of Kelaniya, Sri Lanka, 2019) Udakanjalee, H.; Miuli, K.; Savini, N.; Tharaka, V. K.The world is currently experiencing the benefits of the fourth industrial revolution which is termed as Industry 4.0. The objective of this research is to identify the most appropriate Industry 4.0 tools to improve the productivity of intra and inter-organizational information flow in the Sri Lankan apparel industry. Inefficient Information flows across the supply chain partners in the Sri Lankan apparel industry has been identified as a major drawback contributing to reduced performance levels. The interruption of the flow of information within the organization and with other stakeholders cause problems such as disruption of smooth production flow, production delays, confusion among employees and poor customer interactions, etc. The methodology used in this research was a structured literature review in which research papers published under the keywords industry 4.0, sustainable supply chains, and information sharing models were reviewed. Approximately 20 research papers published between the years 2015-2019 in key research databases including Scopus, Emerald Insight and Research Gate were referred and reviewed to gather facts using the above keywords. It has been identified that there is a lack of researches in the area of information sharing within the organizational level using industry 4.0 tools. Then a pilot survey has been conducted with two of the leading Sri Lankan apparel manufacturing companies in order to gain an industrial perspective. The developed model is focused on improving the productivity of information sharing within different functional units of the organization and among the end-to-end Supply Chain partners by combining Industry 4.0 tools. This model guides the companies in the apparel industry to create efficient information sharing across the supply chain, through mapping the information flow across the partners upon the ERP integration with industry 4.0 tools. Briefly, the model suggests extracting data from the work floor through IoT devices, analyzing using big data and Artificial Intelligence before transmitted to the relevant departments. Using Augmented Reality and simulations work floor activities can be easily communicated to the workers. Cloud-based solutions are used for vertical integration with other organizationsItem 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.Item 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 approachItem 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.