Evolution of a supply chain management game for the trading agent competition

TAC SCM is a supply chain management game for the Trading Agent Competition (TAC). The purpose of TAC is to spur high quality research into realistic trading agent problems. We discuss TAC and TAC SCM: game and competition design, scientific impact, and lessons learnt

A survey of simulation techniques in commerce and defence

Despite the developments in Modelling and Simulation (M&S) tools and techniques over the past years, there has been a gap in the M&S research and practice in healthcare on developing a toolkit to assist the modellers and simulation practitioners with selecting an appropriate set of techniques. This study is a preliminary step towards this goal. This paper presents some results from a systematic literature survey on applications of M&S in the commerce and defence domains that could inspire some improvements in the healthcare. Interim results show that in the commercial sector Discrete-Event Simulation (DES) has been the most widely used technique with System Dynamics (SD) in second place. However in the defence sector, SD has gained relatively more attention. SD has been found quite useful for qualitative and soft factors analysis. From both the surveys it becomes clear that there is a growing trend towards using hybrid M&S approaches

Value of supplier's capacity information in a two-echelon supply chain

Cataloged from PDF version of article.In traditional supply chain models it is generally assumed that full information is available to all parties involved. Although this seems reasonable, there are cases where chain members are independent agents and possess different levels of information. In this study, we analyze a two-echelon, single supplier-multiple retailers supply chain in a single-period setting where the capacity of the supplier is limited. Embedding the lack of information about the capacity of the supplier in the model, we aim to analyze the reaction of the retailers, compare it with the full-information case, and assess the value of information and the effects of information asymmetry using game theoretic analysis. In our numerical studies, we conclude that the value of information is highly dependent on the capacity conditions and estimates of the retailers, and having information is not necessarily beneficial to the retailers

Designing the Market Game for a Commodity Trading Simulation

In this paper, we propose to design a market game that (a) can be used in modeling and studying commodity trad-ing scenarios, and (b) can be used in capturing human traders ’ behaviors. Specifically, we demonstrate the useful-ness of this commodity trading game in a single-commodity futures trading scenario. A pilot experiment was run with a mixture of human traders and an autonomous agent that emulates the aggregated market condition, with the assump-tion that this autonomous agent would hint each of its action through a public announcement. We show that the informa-tion collected from this simulation can be used to extract the pattern of successful human traders. Finally, we elaborate on the potential of this market game in studying autonomous commodity trading. 1

Value of supplier's capacity information in a two-echelon supply chain

In traditional supply chain models it is generally assumed that full information is available to all parties involved. Although this seems reasonable, there are cases where chain members are independent agents and possess different levels of information. In this study, we analyze a two-echelon, single supplier-multiple retailers supply chain in a single-period setting where the capacity of the supplier is limited. Embedding the lack of information about the capacity of the supplier in the model, we aim to analyze the reaction of the retailers, compare it with the full-information case, and assess the value of information and the effects of information asymmetry using game theoretic analysis. In our numerical studies, we conclude that the value of information is highly dependent on the capacity conditions and estimates of the retailers, and having information is not necessarily beneficial to the retailers

Trading agent competition for supply chain management:uma abordagem make-to-order

A negociação com clientes e fornecedores e o escalonamento da produção são componentes chave na gestão da cadeia de produção. Para responderem, e se adaptarem às exigências do mercado em constante mutação, as empresas recorrem às tecnologias da informação e comunicação para automatizar e otimizar os seus processos de negócio. Este trabalho descreve um agente autónomo, denominado TacM2O, para o jogo de Gestão de uma Cadeia de Produção da “Trading Agent Competition”. O agente desenvolvido rege-se por uma estratégia de produção make-to-order. São utilizadas funções de análise de mercado como ferramenta de suporte à decisão e adaptação às mutações de mercado. Os resultados obtidos, embora modestos, são encorajadores para futuros desenvolvimentos de melhoria da estratégia utilizada