BIM For Manufacturing

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 1, 2022

The story of manufacturing is one of constant technological change and evolution. It is also a story with a sweeping geopolitical arc from the industrial revolution in 19th century Britain to modern day China accounting for nearly 30% of the world’s manufacturing1 . The march of the machines is relentless and for large portions of society, alarming. Today’s technology is even imbued with the ability to learn – Blake Lemoine, a software engineer at Google, believes a chatbot his firm has created is capable of conscious thought2.

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 15, 2022

The need for modernization based on digital capabilities is evident in almost all areas of the manufacturing enterprise today – not just on the shopfloor, but also in the sales, planning, engineering, and service functions. Significant shifts are underway in the manufacturing industry driven by world events as well as technology. This paper discusses these shifts in the industry along with key business and technology capabilities manufacturers need today to navigate this disruption and stay competitive. It also shows how Infosys Discrete Manufacturing Solution can empower manufacturers with these capabilities.

whitePaper | November 4, 2022

For manufacturers, the challenge of ensuring that production efficiency is improved to the point that’s right first time, every time, is critical towards the ultimate goal of achieving zero defect manufacturing and all of the associated cost and sustainability benefits.

whitePaper | June 10, 2022

Manufacturing continues to move further into the digital age, but for many small and medium-sized shops, the concept of Industry 4.0 still seems out of reach. Many of these manufacturers understand that they need to take advantage of digitization to remain competitive, but they are not sure where to begin or what technologies they can integrate For the highest return on investment (ROI). Fortunately, relatively inexpensive turnkey digital solutions have simplified this process – and made it possible for manufacturers of all sizes to realize the benefits of the Industrial Internet of Things (IIoT) with access to tool identification, inventory management and machine monitoring