IPRC - 2017

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    A Simulation-based Modelling Approach for Sustainable Supply Chains through Smart Collaboration.
    (In: Proceedings of the International Postgraduate Research Conference 2017 (IPRC – 2017), Faculty of Graduate Studies, University of Kelaniya, Sri Lanka., 2017) Gamage, D.D.; Rupasinghe, T. D.
    Modelling and simulation techniques have been identified as one of the dynamic ways to analyze and deal with stochastic facets existing in a supply chain. The focus of the study is to simulate the applications of Industry 4.0 driven smart collaboration in supply chains in driving sustainability in the apparel industry. The open source agent based behavioral modelling environment, NetLogo is utilized for the aforementioned purpose. The study assesses how information sharing, sense making, resource pooling, goal congruency, empowerment and cross functionality of a smart collaborative supply chain impact on the sustainability of the apparel supply chain. The model outlines how levels of integration of each of the characteristics affects the sustainability of the supply chain. A qualitative outcome was achieved through a mixture of qualitative and quantitative survey on the carbon footprint of the agents of apparel supply chain with the variation of level of collaborative characteristics. The results were included in to the simulated environment to identify how different levels of supply chain collaboration with Industry 4.0 application impact the sustainability of the apparel industry. The scenarios clearly show that the increasing levels of Industry 4.0 applications used in supply chain collaboration results in improved sustainability performance in the apparel industry, and that the dimension of communication, coordination and cooperation contribute individually in driving sustainable Industry 4.0 with collaborative supply chains. Furthermore it proves that each of the three collaborative dimensions are important in striving towards a sustainable industry.
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    Behavioural Modelling Approach to Simulate Collaboration in Apparel Supply Chains.
    (In: Proceedings of the International Postgraduate Research Conference 2017 (IPRC – 2017), Faculty of Graduate Studies, University of Kelaniya, Sri Lanka., 2017) Lakmal, R. D. S.; Rupasinghe, T. D.
    With the rapid evolution of technology and competition in the current business context, supply chain collaboration has become a widely spoken and researched topic. It has become a greater challenge to achieve the optimum efficiencies by performing as isolated partners due to the continuous growth in the depth and the width of the chain partners and their activities. In spite of the fact that a number of studies have been carried out in this respect, a very few number of studies have investigated the practical implications of improving collaboration in supply chains. In this study the authors have utilized a simulation-based approach to assess how collaborative practices among different partners in the supply chain, affect the collaboration level of an industry and time dependent variants for an industry to achieve maximum benefits of collaboration. The simulation models were developed using Netlogo open source modelling platform, focusing on three types of agents in the supply chain where the suppliers, manufacturers, retailers and behavior of these different partners was modeled. The study utilizes the apparel industry as the tested and thus, the Netlogo simulation models determine the effects of collaborative practices across those aforementioned partners. As the main outcome, the study has shown that the key step to enhance collaboration in supply chains, is understanding that there is an interdependence among each other and the level of interdependence required, depending on the organization needs and norms. Furthermore, the study simulates how other main factors of collaboration such as strategic alliances, use of collaborative tools and supply chain metrics will affect the time variant of industry becoming collaborative over the time according to the conditions used in the simulation model. This study facilitates the identification of the crucial factors which partners should focus on, in order to enhance the collaboration in their supply chains. The proposed modelling approach can be generalized further in-to similar industries by studying the correlation among the aforementioned factors.