Discrete manufacturing

Delivering perfect orders isn´t easy, but having the right technological tools will help your company to get the most value of manufacturing data and make you outperform, shaping the difference between failing and succeeding in Order Management, especially in highly vertically integrated industries.

Everyone seems to have a vision on Industry 4.0 but the big question remains: how the associated digital technologies can be effectively and efficiently implemented for quick time to value. We think we have the answer, and it encompasses combining technologies such as Digital Twin and Augmented Reality (AR) with modern operations management systems such as MES.

For Industry 4.0 to have its full impact, Advanced Production Planning and Scheduling (APS) must be a MES native capability. Meeting the demands of a high-mix, constantly changing automated and digitized Industry 4.0 environment, MES is the single application that can fully embody APS. With it, you gain speed, accuracy and the execution necessary to optimize plant performance.

ROI: Return on Investment. It’s a standard measurement criteria used for most complex or costly endeavors, where the factors of time, funds and people are involved: buying a new piece of capital equipment; investing in a new production line; or buying a software product which has vast organizational impact, such as an ERP or MES.
For IT projects, an ROI exercise is a given.

Industry 4.0, Smart Factory, Digital Factory, Connected Enterprise, Factory of the Future, Plant floor to ERP, Convergence of IT & OT, IIOT and Digitization are either connected terms or very close to each other with slight differences.

Analytics have become a big part of manufacturing operations. For decades, plants have generated and collected data, but modern technologies with advanced analytics, machine learning (ML) and other artificial intelligence (AI) algorithms are taking how we use this data to new levels.

The term Autonomous Factory has gained popularity in the context of Industry 4.0. In this article, we will discuss what an autonomous factory means and how manufacturers with multiple plants across the globe can move towards this coveted autonomous manufacturing infrastructure in their value chains.

It is only after the top management realizes the need to implement an MES, or to update the existing legacy system, that the MES project starts to take shape. With it comes complexity and fear of failure; so, to alleviate those fears, today we will explore ways in which you can ensure that your MES project is a success.

Today we will discuss the future of manufacturing, examining the effects that new technologies and the pandemic are having in shaping its future. We will review the need for digital transformation and building resilience in global manufacturing supply chains.