Using a multi-agent system for supply chain management
نویسندگان
چکیده
منابع مشابه
Using a Multi-agent System for Supply Chain Management
Supply chain management (SCM) is a well-known example of a complex system. Classical computing technologies have shown little success in modeling complex systems. However, a large body of research in multi-agent system (MAS) technology has demonstrated how complex systems can be modeled to generate smart solutions, which could not be done otherwise. We have researched on the design and developm...
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Supply chain management (SCM) is an emerging field that has commanded attention and support from the industrial community. Supply chain (SC) is defined as the chain linking each entity of the manufacturing and supply process from raw materials through to the end user. In order to increase supply chain effectiveness, minimize total cost, and reduce the bullwhip effect, integration and coordinati...
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Supply Chain Management (SCM) involves a number of activities from negotiating with suppliers to competing for customer orders and scheduling the manufacturing process and delivery of goods. The activities are different in their nature: they work with various data, have different tasks and constraints. At the same time, they are interrelated to ensure the achievement of the ultimate goal of max...
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This paper describes an ongoing effort in developing a Multiagent System (MAS) for supply chain management. In our framework, functional agents can join in, stay, or leave the system. The Supply Chain Management System (SCMS) functionality is implemented through agent-based negotiation. When an order arrives, a virtual supply chain may emerge from the system through automated or semi-automated ...
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This paper presents an extended abstract of the author’s doctoral research project on developing a multi-agent intelligent system for automatic managing supply chains. Supply chain management (SCM) is a very complex and dynamic environment. The doctoral work, which started in October 2005, is dedicated to finding better solutions for successful performance in the domain of real-time SCM.
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ژورنال
عنوان ژورنال: International Journal of Design & Nature and Ecodynamics
سال: 2016
ISSN: 1755-7437,1755-7445
DOI: 10.2495/dne-v11-n2-107-115