Repository logo
Communities & Collections
All of DSpace
  • English
  • العربية
  • বাংলা
  • Català
  • Čeština
  • Deutsch
  • Ελληνικά
  • Español
  • Suomi
  • Français
  • Gàidhlig
  • हिंदी
  • Magyar
  • Italiano
  • Қазақ
  • Latviešu
  • Nederlands
  • Polski
  • Português
  • Português do Brasil
  • Srpski (lat)
  • Српски
  • Svenska
  • Türkçe
  • Yкраї́нська
  • Tiếng Việt
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Browse by Author

Browsing by Author "Thilakarathna, R.H."

Filter results by typing the first few letters
Now showing 1 - 2 of 2
  • Results Per Page
  • Sort Options
  • Thumbnail Image
    Item
    Model to assess factors influencing performance of customer orientated supply chains: The manufacturing firms‟ perspective
    (Faculty of Graduate Studies, University of Kelaniya, 2015) Peter, S.; Thilakarathna, R.H.
    The dynamic external macro environmental changes that are happening have a major impact on businesses around the world. Businesses which were cocooned and protected from outside forces due to protectionist policies were accustomed to dealing with and managing competition at the industry level and firm level. However, opening up of markets to worldwide competition has made even these internal rivalries more intense. It‘s a well-known fact that today it‘s not just a competition at firm level, but it has expanded to a level where it has become a competition between supply chains. In this sort of a context being customer oriented and embedding customer values in the supply chain environment becomes highly important to make the supply chain more appealing to customers amidst these varying conditions which they do not control. The relationship between customer oriented practices and supply chain performance is an intriguing relationship which is now becoming a focus of research. This paper outlines a framework that could be used to identify the impact of factors influencing the relationship between customer orientated supply chains and supply chain performance. Past literature on this relationship was analyzed and several existing models by various authors were identified. These models were later used as the basis and other factors influencing this relationship which were studied separately, were collated into the base model to make the model comprehensive. These included organizational learning, supply chain practices, interactive infrastructure, innovation in supply chains, and supply chain capabilities. Expert opinion was used in the process of refining the proposed model. The framework conceptualized through the study could be used to assess supply chain performance and key variables impacting on the relationship between customer orientated supply chains and supply chain performance.
  • 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.

DSpace software copyright © 2002-2025 LYRASIS

  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify