IRSPAS 2018
Permanent URI for this collectionhttp://repository.kln.ac.lk/handle/123456789/19084
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Item Application of industry 4.0 concepts to optimise workforce performance in human resource processes: context of Sri Lankan apparel industry(Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka, 2018) Weerasekara, M. M.; Wickramarachchi, R.; Vidanagamachchi, K.To cope with the new technologies driven by the fourth industrial revolution such as Cloud based systems, Internet of Things, Virtual Reality, Artificial Intelligence, skill development is vital in order to enhance the performance of the workforce. Advancement of the technology will affect disruptively for all organisational functions including human resource. There is a threat that humans will be replaced by advanced technological systems in the near future. It will badly affect all areas of operations including human resources, if organisations fail to absorb the technology. Even though these technologies have been widely used in many countries, developing countries such as Sri Lanka are far behind. This paper focuses on how to improve the performance of the employees by developing necessary skills, using various technologies included in Industry 4.0. Previous researchers have mentioned about how industry 4.0 applications disrupt human resource but not how to fulfil those gaps. Sri Lankan apparel industry has been identified as one of the key industries to implement these concepts to measure the workforce performance since it involves both human and machinery in its processes. By introducing advanced technologies to areas such as recruitment, talent on-boarding and off-boarding, training and development, both time and cost for unnecessary processes can be reduced while increasing the efficiency and effectiveness of the employees. Initial data collection has been conducted through two questionnaires based on a sample of 30 individuals from each level which are above executive and below executive from human resource departments. Five apparel firms were chosen to collect the data as a quantitative approach. Questionnaire was developed to discover the relationship between variables such as industry 4.0 application, skill development, job satisfaction and job performance to check how they intervene with enhancing performance. Data analysis was done through structural equation modelling using AMOS supporting software. The study suggests ways to optimise skills and satisfaction level of workforce performance using industry 4.0 applications with smart human resource concepts. In addition, an innovative model will be introduced to enable apparel industry to enhance the process of human resource development using technologies through industry 4.0 application.Item Improving downstream logistics performance in Sri Lankan agricultural supply chain through collaborative digital logistics(Research Symposium on Pure and Applied Sciences, 2018 Faculty of Science, University of Kelaniya, Sri Lanka, 2018) Sarathchandra, K.; Vidanagamachchi, K.Global agricultural production is barely sufficient to appease the hunger of the world population. Greater part of agricultural production gets spoiled on the way to the consumer. As a consequence, agricultural logistics has gained much consideration in order to ensure that the agricultural products reach the consumer with better quality. Nowadays consumers are demanding more on the food quality and the sustainability, hence the necessity of redesigning agricultural supply chain networks and implementing best practices in place is emphasized. Thus having properly managed storage facilities and vehicles, real time access to information regarding demand, supply, weather conditions and price fluctuations, proper handling of surplus and value addition is crucial. Consequently, reengineering the agricultural processes by deploying information technology has emerged. Although the use of sophisticated new digital technologies in logistics is important to enhance the performance, it is difficult for small farmers, retailers, wholesalers, etc., to invest on these new-fangled technologies. It’s proven that collaboration is a strategic decision which aids in superior supply chain performance and is a key to achieve logistical excellence. Accordingly, this study focuses on the effect of supply chain collaboration in implementing digital logistics in less sophisticated supply chains such as Sri Lankan agricultural supply chain in order to achieve high downstream logistics performance. In relation to the results of this scrutiny, digitized logistics in Sri Lankan agricultural supply chain is in the elementary stage and inadequate knowledge, skills and investments are the major restrictions for technology adoption. The methodology adopted in this research was mixed method approach which involved data collection through questionnaire surveys using stake holders of agricultural supply chain and semi-structured interviews. Quantitative analysis was conducted to discover the relationship between variables and was done through regression analysis using SPSS software and qualitative analysis was done to identify the factors affecting collaborative digital logistics and the downstream logistics performance of agricultural supply chains through thematic analysis. The study suggests to align consumer and stakeholder expectations through collaborative digitization in order to improve agricultural downstream logistics performance. The decision model and the heuristics presented through this paper will help the agricultural supply chain stakeholders in digitizing their logistics to meet consumer expectations and to maximize their profits.