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A framework for designing supply chain disruptions management considering productive systems and carrier viewpoints

机译:考虑生产系统和运营商观点的设计供应链中断管理的框架

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摘要

With the advent of the global and digital world, the number of geographically dispersed firms throughout the world has increased and the problem of Supply Chain (SC) disruption appeared as a main concern to many industries. In such context, designing disruptions management strategies for a robust SC has become a critical worldwide issue that is still under-explored. Since its design phase, this class of robust and global SC must integrate technologies and agents of production. However, the existing works only consider the Productive Systems (PSs) and the carrier viewpoint must also be considered since goods should be produced and distributed at the right quantity, at the right place and at the right time. In this complex task of designing disruptions management, a formal method must be used to integrate technologies ensuring the compliance of certain requirements, such as: developing collaborative and autonomous models, allowing reuse templates, considering analysis/simulation abilities and facilitating the interaction among engineering practitioners. Therefore, this paper presents a framework to model, analyse, control and monitor the robust and global SC, designing and integrating models with Petri Net, agent-based model techniques for disruptions management and considering both PSs and carrier viewpoints. A case study is investigated and the findings demonstrated the proposed solution supports decisions making for solving problems of design, analysis and control.
机译:随着全球和数字世界的到来,遍布全球的地域分散的公司数量增加了,供应链(SC)中断的问题似乎已成为许多行业关注的主要问题。在这样的背景下,为健壮的SC设计中断管理策略已成为一个尚未解决的全球性关键问题。自设计阶段以来,此类健壮且全球化的供应链管理人员必须集成技术和生产代理。但是,现有作品仅考虑生产系统(PS),并且还必须考虑承运人的观点,因为应在正确的位置,正确的时间和正确的数量生产和分配货物。在设计中断管理的这一复杂任务中,必须使用一种正式方法来集成技术,以确保满足某些要求,例如:开发协作和自主模型,允许重用模板,考虑分析/仿真能力并促进工程从业者之间的交互。 。因此,本文提出了一个框架,用于建模,分析,控制和监视健壮的全局SC,使用Petri Net设计和集成模型,基于代理的中断管理模型技术,并考虑PS和运营商的观点。对案例研究进行了调查,调查结果表明,所提出的解决方案支持解决设计,分析和控制问题的决策。

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