4-step holistic manufacturing strategy for the 4th Industrial Revolution

whitePaper | January 1, 2023

The manufacturing industry is entering a period of rapid reconfiguration, driven by the complex interaction of technological, geopolitical, macroeconomic, and financial factors. The long-term trends that have shaped international commerce during the post-Cold War period are changing. The engines of the era—the relatively free flow of capital across borders, the lengthy and complex global supply chains, the super-cycle of cheap credit, the stable supply of energy, and the steadily liberalizing global trade regime—have stalled or reversed course, as we enter a new period defined by very different trends, including the reappearance of high inflation and a new appreciation for credit risk.

whitePaper | November 11, 2022

Are global manufacturers reacting quickly enough to a fluctuating economic climate? Brands are investing in digital to help achieve their goals, but how flexible is their digital infrastructure to handle impending market pressures? As a leading, strategic digital partner to global brands for the last 15 years, Nemetos Tanasuk wanted to really understand the industry’s own sense of the challenges and opportunities heading their way – and how well they’re primed to meet them digitally. In this report, we reveal how manufacturers are embracing digital innovation in 2023.

whitePaper | July 7, 2022

Production scheduling primarily deals with arranging different jobs in various machines based on the timelines for each job. There can be numerous combinations of schedules possible. Production schedules can be designed to maximize the capacity utilization, minimize idle time of the machine, earliness, overall costs etc. Manual design of a schedule can be a tedious and time consuming task. There are a lot of dependencies which the scheduler needs to tweak based on a single change. Generating a production schedule targeting a specific objective function can be done using mathematical models. Mathematical models involve formulating the production scheduling problem as an optimization model wherein there is a certain objective function which needs to be optimized based on a set of constraints. Mathematical models generally outperform manually designed schedules which involve a lot of inter-dependencies among the jobs. Due to improvement in computational power, developing a production schedule using mathematical models is relatively quick and efficient.

whitePaper | November 30, 2022

The promise of metal additive manufacturing (AM) to completely transform how core parts are produced has largely been just that: a promise. The ability to 3D print parts has been deployed across countless industries, but limitations within conventional iterations of metal AM have relegated the technology to use primarily in prototyping or niche use cases.

whitePaper | November 1, 2022

Many businesses are experiencing an increase in supply chain disruptions reverberating down to the customer. A rapidly growing population adding to the swell of demand, the threat of a looming recession, and complex logistics systems create an incredibly delicate balance. We are facing a pivotal time for the future of supply chains.

whitePaper | October 24, 2022

Additive Manufacturing (AM) which is also known as 3D printing has received increased attention over the last couple of years and has proven to be an innovative manufacturing technology that can be applied in multiple industrial sectors. However, the term „Additive Manufacturing“ includes a large variety of technologies that offer different advantages and disadvantages. Moreover, according to the desired characteristics of the finished part, one technology can be more suitable for the manufacturing of the part than another. This results in the challenge to select the adequate technology for a specific application.