Driven by the requirements of transformation, these difficulties need to be overcome. We can learn from the cases imported in the past and understand the challenges in advance. Through early planning to improve the probability of success. The following are three commonly encountered challenges for your reference:
1. The focus of data collection is not the same
The first step in the Internet of Things is to collect information, and in the process of integration, the data collected may not certainly create value for the enterprise due to the different degrees of understanding with each department in the factory during operation. Additionally, the communication format of each device has its own protocol and operation method. For medium-sized factories, there will be dozens of communication protocols, which greatly increases the difficulty of data collection. Therefore, it is necessary to understand the properties and communication methods of each device in advance so that the introduction process will be smoother, and then connect the data from collecting to analyzing to provide enterprises with decision-making and optimization.
2. System development thinking
During the import process, it can be found the factory staff usually ensure the compatibility and stability of different equipment operations, that’s why they are used to test the module first and then adjust the module from the results. Sometimes more requirements are derived from the modification, so the people in the IT department need to constantly adjust to meet the requirements of usage, however,
for the people in the IT department, the initial system architecture is to communicate the requirements at the beginning, and then develop and design the system.
This back-and-forth communication process may prolong the lead-in time and make it unsmooth.
3. System maintenance
When the system is finished, follow-up management and maintenance are important knowledge. For IT staff, once a problem occurs, it needs to be solved immediately, because more problems may occur over time. However, frontline workers will afraid that upgrades or changes will affect production and quality, they prefer to maintain the status quo or make changes after assurance. Therefore, these two sides often fail to reach a consensus after the introduction, and ultimately fail to see the value brought by the transformation.
Digital transformation is not just about importing technology and drawing it into a beautiful digital report and presenting it on a mobile phone or tablet, buying many robotic arms, or updating it to an automated system but requires people in different fields to cooperate with each other and use their own expertise enables technology to truly work, thereby creating more value for the enterprise.
