Browsing by Author "Ratnayake, S"

Filter results by typing the first few letters
Now showing 1 - 3 of 3
  • Thumbnail Image
    item: Conference-Abstract
    Agent based solution for retail supply chain management
    Rupasinghe, R; Ratnayake, S; Karunananda, AS
    The entities engaged in the supply chains have become more complex with the expansion of the businesses. Therefore people have used various processes to make the business processes efficient, cost effective and real time. Thus Supply chains have become a main channel of business processes. Supply chain management involves in planning and management of those parties engaged in the chain. Therefore as an intermediary, the retailers’ involvement in the supply chains increases the efficiency of the chain. However many problems have been identified in the retail supply chain scenarios such as distribution, distribution strategy, negotiation, communication etc. Due to these problems managing retail supply chains has become a complex problem. As a solution, the project implements INSITH, a multi agent system (MAS) which assists in the customer order placing process by choosing the most suitable offer for a particular user. The system uses dynamic intelligent agents; namely, Message Agent, Retailer Agent, Supplier Agent and User Profiler Agent to handle customer requests and provide the best offer by going through various agent negotiation processes. Hence INSITH would be sensitive to the user preferences and will provide solutions based on user experiences and the cost.
  • Thumbnail Image
    item: Conference-Abstract
    Priority driven agent based retail supply chain management system
    Rupasinghe, R; Ratnayake, S; Karunananda, AS
    Supply chain management involves planning and management of suppliers and retailers that are engaged in a business process. These entities operate in a distributed and interconnected complex world that manifests in ever-changing dynamic systems with lots of uncertainty. Those systems cannot be modeled by traditional techniques that assume the stability of a system during execution. In addressing the above issue, we have postulated a multi agent system to emulate process in supply chain management. The system is able to create multiple Agents upon the dynamic requests and enables passing messages to establish negotiations among agents to achieve the best deals to satisfy requirements of both suppliers and the retailers. The agents execute successfully or they could not compete, kill themselves and come up with better strategies again only when necessary, thereby saving the computing resources to execute the agent system. The system has been tested for various possible cases and found to be successful for modeling the complex domain of supply chain management.
  • Thumbnail Image
    item: Conference-Abstract
    SAS_EN - a swarm of agents for a sustainable environment
    Rupasinghe, R; Ratnayake, S; Ranatunga, A; Sajayahan, A; Karunananda, AS
    The environment consists of heterogeneous entities which are working collaboratively to keep the environment sustainable. The general concept of “environmental sustainability” refers to the necessary balance between human wants and needs and the capacity of the natural systems of the earth. Thus to keep the balance of environment the communication among photosynthesis, co2 emission, environmental conditions, nutrient conditions and nutrient deficiencies of the plant are important. Nevertheless, it has become a major issue in maintaining those conditions within a controlled environment. Therefore, the communication among resource entities that are involved in a certain task of the environment and reaching consensus for protecting and ensuring the sustainability of a given environment is highly important. Thus, this project implements SAS_EN, which collaboratively works for a sustainable environment in a Hydroponics Greenhouse environment. The system has been implemented using agent technology. There are distinct agents dedicated for each task of the environmental sustainability and they collaboratively work to achieve a common goal. Hydroponics, which grows in a controlled environment, has been used for testing and evaluating the solution. The test results have shown its potential in using SAS_EN for solving the distributed problems of the environment.