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Agent-based supply-chain planning in the forest products industry

机译:林产品行业基于代理的供应链计划

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摘要

The new economic challenges and recent trends in globalization have made it very difficult for Canadian forest product companies to improve their financial position without the coordinated involvement of the entire company, including their supply chains (distributed facilities, company offices, industrial customers, and distributors). Such a new level of efficiency involves their distributed facilities and offices spread around the world, and their customers. One consequence of this new reality is that forest products companies are now facing the need to re-engineer their organizational processes and business practices with their partners. To do this they must adopt new technologies to support the coordination of their planning and control efforts in a customer-centered environment. This paper first proposes a generic software architecture for development of an experimentation environment to design and test distributed advanced planning and scheduling systems. This architecture enables combination of agent-based technology and operations research-based tools in order to first take advantage of the ability of agent technology to integrate distributed decision problems, and, second, to take advantage of the ability of operations research to develop and exploit specific normative decision models. Next, this paper describes how this architecture has been configured into an advanced planning and scheduling tool for the lumber industry. Finally, we present how an application of this advanced planning tool is currently being validated and tested in a real manufacturing setting.
机译:新的经济挑战和全球化的最新趋势使得加拿大林产品公司在没有包括供应链(分布式设施,公司办事处,工业客户和分销商)在内的整个公司的协调参与下,很难改善其财务状况。 。如此高的效率水平涉及他们分布在世界各地的设施和办公室以及他们的客户。这一新现实的后果是,林产品公司现在面临着与合作伙伴一起重新设计其组织流程和业务实践的需求。为此,他们必须采用新技术来支持在以客户为中心的环境中协调计划和控制工作。本文首先提出了一种通用软件体系结构,用于开发实验环境,以设计和测试分布式高级计划和调度系统。此体系结构使基于代理的技术和基于运筹学的工具结合起来,以便首先利用代理技术来集成分布式决策问题的能力,其次,利用运筹学的能力来开发和利用具体的规范决策模型。接下来,本文描述了如何将此架构配置为用于木材行业的高级计划和调度工具。最后,我们介绍了如何在实际的制造环境中验证和测试此高级计划工具的应用程序。

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