An Analysis of the 2005 TAC SCM Finals
نویسنده
چکیده
Supply chains are the basis of the world economy. With a computer simulation of a supply chain management scenario, the Trading Agents Competition in Supply Chain Management (TAC SCM) promotes research in this field to try and automate the process. By letting computer agents optimize the manufacturing process, consumer goods become cheaper. Presented is an analysis of the 2005 Finals of the Trading Agent Competition in Supply Chain Management. Statistical methods identified the most important agent attributes to success. The different agents in the finals were then evaluated on
منابع مشابه
What Differentiates a Winning Agent: An Information Gain Based Analysis of TAC-SCM
The Supply Chain Trading Agent Competition (TAC SCM) was designed to explore approaches to dynamic supply chain trading. During the course of each year’s competition historical data is logged describing more than 800 games played by different agents from around the world. In this paper, we present analysis that is focused on determining which features of agent behavior, such as average lead tim...
متن کاملAn Analysis of RedAgent’s Market-based Appoach to Supply Chain Management
McGill’s RedAgent, the winner of the 2003 Trading Agent Competition Supply Chain Management (TAC SCM) scenario is examined. Supply chain management (SCM), the TAC SCM game and RedAgent’s unique market-based approach are introduced and described. RedAgent’s internal PC allocation market is analyzed, drawing comparisons between it and the class of scheduling problems. The paper concludes with som...
متن کاملThe CrocodileAgent 2005: An Overview of the TAC SCM Agent
The Trading Agent Competition (TAC) is an international forum which promotes high quality research regarding the trading agent problem. One of the TAC competitive scenarios is Supply Chain Management (SCM) where six agents compete by buying components, assembling PCs from these components and selling the assembled PCs to customers. In this paper, we describe the strategies implemented in the Cr...
متن کاملDynamic Regime Identification and Prediction Based on Observed Behavior in Electronic Marketplaces
We present a method for an autonomous agent to identify dominant market conditions, such as oversupply or scarcity. The characteristics of economic regimes are learned from historic data and used, together with real-time observable information, to identify the current market regime and to forecast market changes. The approach is validated with data from the Trading Agent Competition for Supply ...
متن کاملThe 2007 TAC SCM Prediction Challenge
The TAC SCM Prediction Challenge presents an opportunity for agents designed for the full TAC SCM game to compete solely on their ability to make predictions. Participants are presented with situations from actual TAC SCM games and are evaluated on their prediction accuracy in four categories: current and future computer prices, and current and future component prices. This paper introduces the...
متن کامل