# 6G Enabled Industrial Internet of Everything: Towards a Theoretical Framework
## 6 GIIoE Architectural Framework
### Applications  
The motivation of this section is to discuss various industrial application areas of IoE. Numerous industrial applications and services can be employed via 6 GIIoE system. Here we briefly outline some of the example application areas. The CIIW comprises of industries related to transportation, vehicles, offices, buildings, manufacturing (factories), retail stores, E-commerce, food and beverage, health, port/harbor, financial services, banks, insurance entities, logistics/supply chains, energy sector and other applications becoming priorities areas to be connected intelligently. The CIIW is going to be a pervasive phenomenon in which objects (devices, sensors, machines, and wearables) can process, store, and exchange information seamlessly using IoE technologies seeking to be intelligently connected. Below are some of the 6 GIIoE applications in the CIIW that can leverage the growth opportunities [8] (p. 3), [9,10] (p. 102), [11]:  
* CIF--Connected Intelligent Factories. * CIFB--Connected Intelligent Food & Beverage. * CIFB--Connected Intelligent Financial Services, Banks, and Insurance. * CIT--Connected Intelligent Transportation. * CIC--Connected Intelligent City. * CIFE--Connected Intelligent Energy system. * CIR--Connected Intelligent Retail
* CIH--Connected Intelligent Healthcare
* CITIP--Connected Intelligent Harbor and Port. This study specifically describes two specific applications (CIF and CIFB) related to connected intelligent industrial world (CIIW):* CIF-connected intelligent factories: At present, factories are connected by wired connections with fieldbus or industrial Ethernet, for connecting equipment to control systems to empower the factories with a secure and structured way for massive data access and control. 6G can target factory automation with extremely low latency communication with massive network capacity realizing the mission-critical applications in an industrial environment enabling devices or sensors to \"offload\" some processing capacity to the network. The IIoE needs a variety of technologies complementing each other to deliver the enhancements in agility, efficiency, and automation and requires real-time streaming for actionable intelligence, machine learning capabilities for identifying patterns and predicting behavior, XR (AR/MR/VR) to complement manual guidance and training. The 6 GIIoE factory platform [22] (p. 143460), [47] (pp. 2-4) analytics software can achieve the following benefits for many industries: (i) makes IoE simple and easy to deploy without writing code, (ii) connects and manages any asset and analyzes any amount of data automatically in real time, turning data into actionable insights to reduce costs and improve efficiencies to build innovative and differentiating applications, and (iii) continuously improve production processes benefiting to visualize analytics for faster decisions, analyzing to solve problems, and monitoring operational performance. The 6 GIIoE factory platform, as shown in the Figure 7, is an edge (cloud) platform using open-source-software via application programming interface (API) in the automotive industry. It stores massive data collected via data connection interface (DCI) from a variety of equipment's and autonomous logistic systems in a single cloud network. Thus, the 6 GIIoE system realm will dramatically shape the 21 st century manufacturing landscape transforming the way factories operate, and workforce needs. While the following financial rewarding possibilities of CIF appeals to the dreamers and innovators, the clear payoff ensures that it is a pragmatic path for industry decision-makers to follow keenly: (i) maximizes revenue growth, (ii) reduces operating cost, and (iii) increases asset efficiency.