Science

Permanent URI for this communityhttp://repository.kln.ac.lk/handle/123456789/1

Browse

Subject: search.filters.subject.Apparel Industry

Search Results

Now showing 1 - 2 of 2
  • Thumbnail Image
    Item
    Possibility of applying Industry 4.0 as a business process re-engineering tool: Case study from an apparel production plant
    (Faculty of Science, University of Kelaniya, Sri Lanka, 2016) Jayatilake, H.S.B.; Withanaarachchi, A.S.; Peter, S.
    The industrial revolution began with the mechanization of the textile industry, followed by the age of mass production and subsequently manufacturing going digital. The world is now gradually moving to the fourth industrial revolution which draws together Cyber-Physical Systems, the Internet of Things and the Industrial Internet of Things along with the concept of “smart factory”. The concept of fourth industrial revolution has originated from countries like Germany as “Industry 4.0”, as a government initiative, and from USA as “Industrial Internet Consortium” as an initiative from leading multinational organizations. This case study is based on real time analysis and the experiences in the operational function of an apparel manufacturing plant in Sri Lanka. The production plant is currently facing serious issues such as labor shortage, high labor turnover and weaknesses in inventory management which required an immediate process reengineering in order to become viable and sustainable business. The main objective of this case study is to identify the possibility of re-engineering the business process of the production plant by applying the concepts of Industry 4.0, rather than depending only on conventional process re-engineering concepts. Implementing smart factory concept in the apparel industry is still an emerging approach in Industry 4.0 which has been considered in this article as a novel approach. In order to attain the stated research objectives, a qualitative approach has been adopted in this study. Senior management and selected operational level employees, were interviewed using structured and unstructured questionnaires along with five months of self-observations in the production plant by the authors themselves and a detailed literature survey. The findings indicate that the plant has the necessary features to implement Industry 4.0. However, in terms of readiness to implement Industry 4.0, the plant is still in the initial stage. In conclusion, the production plant’s potential to be converted as a smart factory from its current position by resolving the major issues is assessed. It also discusses the capability of Industry 4.0 to become the new benchmark for smart factories, going beyond the concept of using business process reengineering to align the organization to adapt to the dynamic environmental changes taking place in the world currently.
  • Thumbnail Image
    Item
    The Supply Chain Operations Reference (SCOR) model: A Systematic Review of Literature from the Apparel Industry
    (University of Sri Jayewardenepura, Sri Lanka, 2015) Thilakarathna, R.H.; Dharmawardana, M.N.; Rupasinghe, Thashika
    Present day supply chains are inherently complex and involve multiple companies working simultaneously within a single function and rivalry is such that it’s a competition not between companies but between supply chains. This ever growing complexity and increased involvement of multiple stakeholders in the supply chain pointed out the need for a universal framework for measuring performance and benchmarking, thus resulting in the Supply Chain Operations Reference Model (SCOR). Globally significance of SCOR for benchmarking, performance measuring and business process re-engineering had been recognized long time back. In previous literature there are many instances where SCOR model had been useful in facing challenges such as constantly decreasing product life cycle and pressure to reduce time to market. In defining the scope of the study basically two dimensions of SCOR was considered: processes and performance attributes adapted from SCOR.A thorough systematic review of existing literature specifically focusing on the application of SCOR model for the apparel industry is being conducted. This study is based on the theoretical gap in the application of SCOR model in relation to apparel industry. Application aspect of SCOR model for improved performance of the apparel supply chain will be presented along further recommendations for local apparel industry for improved benchmarking and competitiveness. This study could be used as a guidance to determine the applicability of SCOR model to other industries as well considering the characteristics of the specific industry.