Application Management
Software Development
Platform Integration
Project Management
Project Management , development & consultancy for your digital operations
A good shop floor application should be designed to streamline operations, improve productivity and improve operational efficiency.
Well-functioning apps for steering & tracking activity on your shopfloor does not come with one-click, there are a lot of software tools and templates that can be used and implemented or you can even build extra features with low code. Conbo can help and assist you to find and implement the best solution for your processes or can help you with the development strategy of these tools.
In addition, a shop floor application must be highly redundant and robust and have a good audit trail of all activity. Conbo can evaluate & test your system and make sure it is sustainable & future proof.
Conbo guides and helps your providers , stakeholder and teams what modules or how to develop shopfloor applications and achieve your goals with a good project management and hand-on approach.
Inventory starts from your purchases or contracts. Your yard should keep track of all incoming & outgoing goods.
Whether the goods are rawmaterials, empties ,returns or finished goods they all are stored keeping and/or handling units.
When your inventory solutions have very good measurands and identification of your stored keeping units and handling units y this a very good start to optimze logistic flows inside your plant and enterprise.
Basic flows as unloading goods with a good putaway strategy should be at least present or easy to setup in good inventory solution.
A WMS should be setup to ensure that trucks are correctly loaded on time and no machines are waiting for material
IIoT, or Industrial Internet of Things, refers to the use of connected devices, sensors, and machines in industrial settings to collect and exchange data. It is a subset of the broader IoT concept that is specifically focused on industrial applications, such as manufacturing, energy, transportation, and logistics.
The key difference between traditional industrial systems and IIoT is that IIoT systems are connected and data-driven. By collecting and analyzing data from various devices and systems, IIoT enables businesses to optimize their operations, increase productivity, reduce costs, and improve safety.
Overall, IIoT is an important technology trend that is transforming the industrial landscape, offering new opportunities for businesses to improve their efficiency, competitiveness, and sustainability.
IIOT also has a other setup/approach in achitecture than normal IOT installations.
Connectivity (OPC, MQTT, REST API, Streams) in your DMZ
Data & Device Management
Security: The platform should be secure, with strong authentication, authorization, and encryption mechanisms to protect sensitive data and prevent unauthorized access.
Scalability without compromising on performance or reliability.
Flexibility and support different deployment models, including on-premises, cloud, or hybrid.
User Interface with visual dashboards, svg, reports, and alerts that enable users to monitor and manage their industrial assets easily
Integration: The platform should support integration with other enterprise systems, such as ERP, CRM, Digital twins and MES
A data-driven factory is a manufacturing facility that leverages data analytics, machine learning, and artificial intelligence to optimize and automate production processes, improve product quality, and reduce costs.
Conbo can help in making the offload strategy (ETL) to the cloud and via unified namespaces make it understandable.
Conbo will be albe to choose what parnter or AI model can help you in getting notable information
Conbo will also help in setting up digital twins to do assessment of new products and your plants throughput
Via data driven factories scheduling and advisories of your maintenance like inspecting, cleaning, lubricating, adjusting, replacing, and repairing equipment parts will never be that easy.
Secure & protected offload strategy to get near real time data from several sources.
Analytics and Business Intelligence (BI) Software wiill help in analyze the data collected from other systems like MES, QMS, ERP and other sources in the factory. It provides insights into production processes, identifies areas for improvement, and helps manufacturers make better decisions about production.
