Cloud-based Big Data and Machine Learning applications are becoming increasingly popular in the industry, also in academic and education sectors. In many cases, clouds are used to support the computation and storage needs of such applications by building and managing multi-VM virtual infrastructures (clusters) using some cloud-based system (IaaS), temporarily or for a longer period of time, respectively.
Intensification of competition and developments such as market-driven and customer-focused supply chains forced companies to become parts of complex production and logistics networks, instead of producing in isolation. In the future only companies will be competitive which are capable of ensuring the effectiveness of their entire supply chain. To achieve a competitive edge and shorter time to market, companies will need to develop comprehensive new logistics concepts and create a greater openness of their systems environment.
Customer-driven order fulfilment should be the core competence of any business. To fully meet customer demands the factors of production, including human and manufacturing resources, material and information, must be managed. A critical issue is the increasing number of product variants and shrinking lot sizes, which massively increase the complexity and number of orders to be processed.
The Laboratory can help you to avoid disturbances, and eliminate excess inventory, long lead times and high personnel- and IT costs.
Customer-oriented manufacturing companies need production planning tools that help them to fulfill orders in a fast and flexible way. At the same time, these tools should keep production costs as low as possible, and eliminate all the unnecessary fluctuations of the production load. These challenges can only be met if companies exploit state-of-the-art planning technologies to their full potential. Planning tools must perform real optimization, and generate production plans in an efficient, automated, and reproducible way.
Unexpected production demands raised by changing market conditions, late deliveries by suppliers, equipment break downs etc. necessitate a quick response to manufacture goods successfully. The function of real-time production control is to adapt the production system to the changing environment, while preserving efficiency with respect to cost, time and quality requirements.
The following four principles need to be implemented to make real-time production come true: