16,794 research outputs found

    Flexible Decision Control in an Autonomous Trading Agent

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    An autonomous trading agent is a complex piece of software that must operate in a competitive economic environment and support a research agenda. We describe the structure of decision processes in the MinneTAC trading agent, focusing on the use of evaluators – configurable, composable modules for data analysis and prediction that are chained together at runtime to support agent decision-making. Through a set of examples, we show how this structure supports sales and procurement decisions, and how those decision processes can be modified in useful ways by changing evaluator configurations. To put this work in context, we also report on results of an informal survey of agent design approaches among the competitors in the Trading Agent Competition for Supply Chain Management (TAC SCM).autonomous trading agent;decision processes

    Chemical industry supply chain optimisation using agent-based modelling

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    In this paper we present an application of Supply Chain Spread Sheet Simulator (SCSS) in a task dealing with chemical industry supply chain redesign and optimisation. SCSS uses principles of Agent-Based Modelling combining 4 types of agents with 3 algorithms to control their behaviour. Location Algorithm is used to place the logistics objects satisfying the demand of customers, Clarke&Wright's Savings Algorithm is applied to plan the routes and Past Stock Movement Simulation is used to control the stock levels. SCSS is developed in MS Excel using programming language Visual Basic for Applications. Its basic functionality is discussed simulating a real task dealing with the redesign of the distribution system for goods coming from chemical industry in the Czech Republic. We test 6 different structures of the distribution system differing in number of located logistics objects ranging from 1 to 6. Based on the outputs of SCSS recalculated to distribution costs we suggest decreasing the number of located warehouses from 6 to 1 estimating almost 33 % distribution costs savings per year

    E-Fulfillment and Multi-Channel Distribution – A Review

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    This review addresses the specific supply chain management issues of Internet fulfillment in a multi-channel environment. It provides a systematic overview of managerial planning tasks and reviews corresponding quantitative models. In this way, we aim to enhance the understanding of multi-channel e-fulfillment and to identify gaps between relevant managerial issues and academic literature, thereby indicating directions for future research. One of the recurrent patterns in today’s e-commerce operations is the combination of ‘bricks-and-clicks’, the integration of e-fulfillment into a portfolio of multiple alternative distribution channels. From a supply chain management perspective, multi-channel distribution provides opportunities for serving different customer segments, creating synergies, and exploiting economies of scale. However, in order to successfully exploit these opportunities companies need to master novel challenges. In particular, the design of a multi-channel distribution system requires a constant trade-off between process integration and separation across multiple channels. In addition, sales and operations decisions are ever more tightly intertwined as delivery and after-sales services are becoming key components of the product offering.Distribution;E-fulfillment;Literature Review;Online Retailing

    A multi-agent system with application in project scheduling

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    The new economic and social dynamics increase project complexity and makes scheduling problems more difficult, therefore scheduling requires more versatile solutions as Multi Agent Systems (MAS). In this paper the authors analyze the implementation of a Multi-Agent System (MAS) considering two scheduling problems: TCPSP (Time-Constrained Project Scheduling), and RCPSP (Resource-Constrained Project Scheduling). The authors propose an improved BDI (Beliefs, Desires, and Intentions) model and present the first the MAS implementation results in JADE platform.multi-agent architecture, scheduling, project management, BDI architecture, JADE.

    Key Planning Recommendations For Logistics Multimodal Transport Institutions: Lessons Learned From Tanjung Priok Port In Indonesia

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    Logistics activities urgently require integration from both infrastructure and management aspects, while logistics activities are currently partial and the development is spread across various Ministries. Therefore, strong governance is needed to support the effective implementation of coordination and to harmonize and integrate all national logistics system development policies. The purpose of this study is to identify the actors participating in the management of the multimodal logistics transportation system, examine the challenges associated with multimodal transportation institution coordination, and determine the function of each actor in multimodal transportation. The success of multimodal transportation in Tanjung Priok’s port as the biggest port in Indonesia has been proven to be hampered due to elements of conflict of interest and adverse selection of informal institutions, according to the findings of the analysis related to the role of actors and problems related to multimodal transportation institutions at ports in Indonesia. Therefore, it is necessary to develop strategies from short to long terms, such as creating a special coordination forum or institution that is ad-hoc in nature for 2-3 years until the core problems of multimodal logistics are completed with the form of the institutional structure being structural and functional, developing a code of ethics to ensure consistent implementation of the long-term agenda, including commitments from institutional coordination of multimodal transport, and to establish permanent institutions as coordination platforms and 'network' organizations to facilitate the strategy of the 'long-term relational contract' concept where the network's focus on practical coordination should be widened and deepened to include more policy coordination until the core problems of multimodal logistics are resolved through institutional forms in the form of Constitutio

    Flexible Decision Control in an Autonomous Trading Agent

    Get PDF
    An autonomous trading agent is a complex piece of software that must operate in a competitive economic environment and support a research agenda. We describe the structure of decision processes in the MinneTAC trading agent, focusing on the use of evaluators – configurable, composable modules for data analysis and prediction that are chained together at runtime to support agent decision-making. Through a set of examples, we show how this structure supports sales and procurement decisions, and how those decision processes can be modified in useful ways by changing evaluator configurations. To put this work in context, we also report on results of an informal survey of agent design approaches among the competitors in the Trading Agent Competition for Supply Chain Management (TAC SCM)
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