The challenges of decade
Since the arrival of the digital technology, companies know a real transformation which have considerable consequences on their competitiveness, their investments and the development of the skills of their employees.
With the industry 4.0, the industrial companies deal with a new industrial revolution imposing new challenges and new manners to make. All the processes are brought to be seen again.
Thus what are these main challenges which impose an acceleration of the changes of the operational processes in industrial environment? At first, before describing the challenges, it is necessary to understand the stake! Several factors intervene imposing these operational changes. At first a concern of profitability, lack of workforce, reduction of the deadlines of manufacturing, new methods of fabrication and more still. In answer to these stakes, various challenges must be raised. Thus here are some.
- Setting-up(Presence) of management systems – ERP / CRM / SIG / DMP
- Adapted communications tools – machine-machine, human-machine
- Management of the data in cloud – cloud base
- Connectivity – iot
- Development and preservation of the skills – on-line Training(Formation)
- Several others
For each of them correspond computing needs adapted to the needs for every company:
- Data management
- Data security
- Human-machine interaction
- User interface design
- Software development
- Data science
The major stake which thus face companies is to integrate these new resources. It is a question of finding the most adequate approach so that the company manages to re-configure its value chain and so that it protects or builds its competitive advantages. In spite of all the available computing tools, it remains a major stake which is the in-service training of the employees that must qualify itself in this industry 4.0.
With the aim of raising these new aspects impacting on the industrial companies, OCX proposes a complete analysis to identify what will be the major stakes impacting on this value chain and to support them in these processes to translate operational earnings.