A Digital Transformation Roadmap for Manufacturers

whitePaper | October 23, 2021

Artificial Intelligence (AI) will increase the level of intelligence in the manufacturing industry by promoting, inter alia, the matching of production and demand, improving quality inspection, increasing product yield, reducing product failure rates, and improving production efficiency.1 While the last decade of Industry 4.0 was determined by technology-driven innovation, the coming years will focus on data- and intelligence-driven innovation. In this perspective, AI is an enabler for the transition from smart factories towards intelligent factories with self-optimising and self-healing characteristics. While smart factories are capable of applying previously acquired knowledge, intelligent factories will be able to autonomously acquire new knowledge and apply it for self-optimisation purposes.

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 | June 1, 2023

This rapid shift from internal combustion engine (ICE) vehicles to EVs has brought a huge opportunity for automobile manufacturers to scale up their EV production. However, this is posing challenges for automobile manufacturers, as they need to invest heavily in a short time span for EV design, development, manufacturing, selling and servicing infrastructure. There are additional challenges related to battery cost, supply chain complexities and manufacturing infrastructure. Contract manufacturing is becoming an increasingly important strategy for EV manufacturers.

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 | August 23, 2022

The contract packaging industry is growing at a 12.5% annual growth rate1, according to Contract Packaging Association (CPA). Driven by the continued increase in consumer brands (more than 30,0001 ), there are now over 1,0002 contract packaging companies in the U.S., ranging from smaller operations with 20 employees to some with more than 1,000 employees. More and more consumer goods companies are relying on contract packaging partners to continue providing quality products, faster time-to-market, reliable delivery, and continued innovation. While the packaging industry is seeing of opportunity and growth, there are some challenges to carefully navigate.

whitePaper | September 9, 2022

When it comes to choosing a manufacturing system, you need more than just product information; you also need other kinds of input to make sound accounting and manufacturing software decisions... and that’s what this booklet is all about. How to Choose a Manufacturing System contains the compiled wisdom of soft-ware designers, manufacturing pros, and industry technologists