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趋势 | Gartner:供应链技术的八大发展趋势

发布时间:2020-08-19       点击数:70

随着供应链领导者寻求探索数字化的好处,如何利用有可能破坏竞争优势的供应链运营模式的创新技术变得至关重要。


“Gartner的研究表明,供应链领导者主要将技术视为一种竞争优势--他们关注的是长期价值,”Gartner副总分析师克里斯蒂安·泰泽 说。“然而,80%的组织赞成在采用新的供应链应用程

序和技术时采取谨慎的做法。”


Part.01

超自动化

Hyperautomation

这是一个以最好的方式综合提供技术的框架,比如历史遗留平台与最近部署的工具和计划中的投资。对于不同的组织来说,这意味着不同的事情,所以供应链领导者找到他们各自的定义是很重要的。如果部署正确,超自动化可以鼓励更广泛的跨域协作,并充当不同和独立功能的集成者。



Part.02

数字供应链孪生

Digital supply chain twin

它是实体供应链的数字表示,是从整个供应链及其运行环境的所有相关数据中派生出来的。这构成了所有地方和端到端决策的基础。它描述了数字世界和物理世界日益增长的融合,”Titze说。“将这两个世界联系起来,可以提高情景意识,并支持决策。”



Part.03

持续智能化 

Continuous Intelligence

这是供应链领导者加快组织数字化转变的最大机会之一。计算机处理数据的速度比人们快得多。供应链领导者可以查看处理过的数据,了解正在发生的事情并立即采取行动。



Part.04

供应链治理和安全

Supply chain governance and security

这是一个日益重要的宏观趋势,因为全球风险事件增多,安全漏洞在数字和物理层面影响公司。蒂兹说:“Gartner预计将出现一波新的供应链安全和治理解决方案,尤其是在隐私以及网络和数据安全领域。”“考虑先进的跟踪和跟踪解决方案、智能包装以及下一代RFID和NFC功能.”



Part.05

边缘计算和分析

Edge computing and analytics

边缘计算的兴起与物联网(物联网)设备的加速同步。边缘计算是在数据处理和分析接近其收集点的地方出现的。当需要低延迟处理和实时、自动决策时,就需要这种技术。边缘计算目前正在制造领域取得进展。例如,有些公司利用无人驾驶叉车作为仓库的杠杆,而一些重型设备销售商则可以利用边缘计算来分析零件何时需要维修或更换。



Part.06

人工智能

Artificial intelligence

供应链中的人工智能构成了一个技术选项工具箱,使公司能够理解复杂的内容,与人进行自然对话,提高人的绩效,并接管日常任务。人工智能目前帮助供应链领导者解决围绕数据筒仓和治理的长期挑战。它的能力使得能够在以前远程或完全不同的利益相关者网络中获得更多的能见度和更多的集成。



Part.07

5G网络

5G Networks

与前人相比,5G在数据速度和处理能力方面向前迈出了一大步。5G的性质意味着供应链的潜力显著增加。例如,在工厂中运行5G网络可以减少延迟,加快实时可见性和物联网功能。



Part.08

沉浸式体验(技术)

Immersive experience

虚拟、增强和混合现实等沉浸式体验技术有可能极大地改变供应链管理的轨迹。这些新的互动模式增强了人类的能力,组织已经看到了用例的好处,比如在一个安全、现实的虚拟环境中,通过身临其境的在职培训,让新员工上岗。


相关:

Gartner:来自顶级供应链组织的3个趋势

Gartner发布:2020年十大战略科技发展趋势

Gartner:2020年十大数据和分析趋势







As supply chain leaders seek to explore the benefits of digitalisation, it has become critical to introduce how to leverage innovative technologies that have the potential to disrupt supply chain operating models that provide a competitive advantage. 

“Gartner research shows that supply chain leaders perceive technology primarily as a competitive advantage — they focus on long-term value,” says Christian Titze, Vice President Analyst, Gartner. “Yet, 80% of organisations favor a cautious approach when it comes to adopting new supply chain applications and technologies.”

1. Hyperautomation

It’s a framework to combine a comprehensive offering of technologies in the best possible way, such as historic legacy platforms with recently deployed tools and planned investments. This means different things for different organisations so it’s important that supply chain leaders find their individual definition. If deployed correctly, hyperautomation can encourage broader collaboration across domains and act as an integrator for disparate and siloed functions.

2. Digital supply chain twin

It’s a digital representation of the physical supply chain and is derived from all relevant data across the supply chain and its operating environment. This forms the basis for all local and end-to-end decision-making. “DSCTs are part of the digital theme that describes an ever-increasing merger of the digital and physical worlds,” Titze says. “Linking both worlds enhances situational awareness and supports decision making.”

3. Continuous Intelligence

It is one of the biggest opportunities for supply chain leaders to accelerate their organisation’s digital transformation. It takes a computer’s ability to process data at a much faster rate than people can. Supply chain leaders can look at the processed data to understand what is happening and take immediate action.

4. Supply chain governance and security

It is an increasingly important macro trend, as global risk events rise and security breaches impact companies on a digital and physical level. “Gartner anticipates a wave of new solutions to emerge for supply chain security and governance, especially in the fields of privacy as well as cyber and data security,” Titze says. “Think advanced track-and-trace solutions, smart packaging, and next-gen RFID and NFC capabilities.”

5. Edge computing and analytics

The rise of edge computing, where data is processed and analysed close to its collection point, coincides with the acceleration of Internet of Things (IoT) devices. It is the technology needed when there is a demand for low-latency processing and real-time, automated decision-making. Edge computing is currently making its way in the manufacturing space. For example, there are some companies that have leveraged driverless forklifts for their warehouses and some heavy equipment sellers that can use edge computing to analyse when a part needs maintenance or replacement.

6. Artificial intelligence

AI in supply chain makes up a toolbox of technology options that allow companies to understand complex content, engage in natural dialogue with people, enhance human performance and take over routine tasks. AI currently helps supply chain leaders solve long-standing challenges around data silos and governance. Its capabilities enable more visibility and integration across networks of stakeholders that were previously remote or disparate.

7. 5G Networks

In comparison to predecessors, 5G is a major step forward in regard to data speed and processing capabilities. The nature of 5G means that the potential for supply chain is significantly increased. For example, running a 5G network in a factory can reduce latency and accelerate real-time visibility and IoT capabilities. 

8. Immersive experience

Immersive experience technology such as virtual, augmented and mixed reality has the potential to substantially change the trajectory of supply chain management. These new interaction models amplify human capabilities and organisations are already seeing the benefits in use cases, such as onboarding new workers through immersive on-the-job training in a safe, realistic virtual environment.


edited from SC digital