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A big data based architecture for collaborative networks: Supply chains mixed-network
Computer Communications ( IF 4.5 ) Pub Date : 2021-05-10 , DOI: 10.1016/j.comcom.2021.05.008
Lahcen Tamym , Lyes Benyoucef , Ahmed Nait Sidi Moh , Moulay Driss El Ouadghiri

Nowadays, the world knows a high-speed development and evolution of technologies, vulnerable economic environments, market changes, and personalised consumer trends. The issue and challenge related to enterprises networks design are more and more critical. These networks are often designed for short terms since their strategies must be competitive and better adapted to the environment, social and economical changes. As a solution, to design a flexible and robust network, it is necessary to deal with the trade-off between conflicting qualitative and quantitative criteria such as cost, quality, delivery time, and competition, etc. To this end, using Big Data (BD) as emerging technology will enhance the real performances of these kinds of networks. Moreover, even if the literature is rich with BD models and frameworks developed for a single supply chain network (SCN), there is a real need to scale and extend these BD models to networked supply chains (NSCs). To do so, this paper proposes a BD architecture to drive a mixed-network of SCs that collaborate in serial and parallel fashions. The collaboration is set up by sharing their resources, capabilities, competencies, and information to imitate a unique organisation. The objective is to increase internal value to their shareholders (where value is seen as wealth) and deliver better external value to the end-customer (where value represents customer satisfaction). Within a mixed-network of SCs, both values are formally calculated considering both serial and parallel networks configurations. Besides, some performance factors of the proposed BD architecture such as security, flexibility, robustness and resilience are discussed.



中文翻译:

基于大数据的协作网络架构:供应链混合网络

如今,世界知道技术的高速发展和演进,脆弱的经济环境,市场变化以及个性化的消费趋势。与企业网络设计有关的问题和挑战越来越关键。这些网络通常是短期设计的,因为它们的策略必须具有竞争力,并且必须更好地适应环境,社会和经济变化。作为解决方案,要设计一个灵活而强大的网络,有必要在定性和定量标准相互抵触的情况下进行权衡,例如成本,质量,交付时间和竞争等。为此,使用大数据( BD)作为新兴技术将增强这些网络的真实性能。而且,即使文献中包含为单个供应链网络(SCN)开发的BD模型和框架,也确实有必要将这些BD模型扩展并扩展到网络供应链(NSC)。为此,本文提出了一种BD架构,以驱动以串行和并行方式协作的SC的混合网络。通过共享他们的资源,能力,能力和信息来模仿一个独特的组织来建立协作。目的是为股东增加内部价值(价值被视为财富),并为最终客户提供更好的外部价值(价值代表客户满意度)。在SC的混合网络中,考虑串行和并行网络配置,可以正式计算两个值。除了,

更新日期:2021-05-15
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