Manufacturing Technology, Industrial 4.0

Maintenance 4.0: How AI and Data Driven strategies increase machine performance

December 22, 2022

Maintenance 4.0: How AI and Data Driven strategies increase machine performance
Minimizing downtime and increasing production efficiency is one of the main goals of an effective maintenance strategy. Knowing the working hours, operating parameters, and consumption of one’s assets is the starting point for identifying operating conditions, studying their behavior, finding anomalies, and understanding the reasons for individual downtime. In this way, using different algorithms, it is possible to achieve the ideal strategy

Spotlight

Automotive Lighting

The history of the company, "Automotive Lighting" originates from LLC Bosch Ryazan in 1996. In 1999 "Robert Bosch GmbH" (Germany) and one of the world's largest companies producing components for systems of electrical equipment for cars - "Magneti Marelli" (Italy), created the holding "Automotive Lighting". Ryazan branch became a part of the new Corporation. In 2001, the holding company joined the "Seima". In 2003, "Magneti Marelli" becomes 100% owner of the "Automotive Lighting".

OTHER WHITEPAPERS
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A practical guide for transforming manufacturers’ digital infrastructure

whitePaper | October 10, 2022

Manufacturers are performing in a highly volatile environment Today’s manufacturers face a number of urgent challenges that they need to overcome in order to keep their business on track and gain competitive advantage. These challenges include customer demands for faster deliveries, greater product innovation and more Product as a Service offerings (servitization). Additionally, customers, investors and regulators are pressuring manufacturers to reduce their carbon footprint and improve transparency along their supply chains.

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Optimizing Manufacturing Production Scheduling (MPS) using constraint programming

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.

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The Warehouse of the Future

whitePaper | November 17, 2022

The following White Paper seeks to paint a picture of the ideal warehouse of the future and highlight how the warehousing and automation industries can unite to overcome challenges and achieve positive advancements for the entire warehouse sector. Based on insights from CEOs, CTOs, Country Managers, Directors, and academics with expertise in the fields of warehouse management, logistics, and robotics

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The inside track on digital transformation in manufacturing

whitePaper | February 21, 2022

Industry 4.0 presents a once in a lifetime opportunity to modernise and digitise the industrial arena, and that alone should be reason enough to delve further into its possibilities.

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Metal 3D Printing Fundamentals

whitePaper | June 29, 2023

In recent years, metal 3D printing has risen to prominence as a fabrication method of the future. The technology has shown promise and generated hype — however, until recently it didn’t provide enough value for most businesses to consider adopting. Today, metal 3D printing has become more accessible, scalable, and robust.

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TRACEABILITY IN MANUFACTURING

whitePaper | July 25, 2022

Traceability, the ability to identify and trace the product, process, operator, context, and detailed quality and component supplier and lot information for every item that moved through manufacturing, is a must-have for manufacturing success. A robust traceability framework that envelopes the total process, product, and material traceability, is a critical component for manufacturers facing stringent regulations while seeking to reduce the overall cost of compliance.

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Spotlight

Automotive Lighting

The history of the company, "Automotive Lighting" originates from LLC Bosch Ryazan in 1996. In 1999 "Robert Bosch GmbH" (Germany) and one of the world's largest companies producing components for systems of electrical equipment for cars - "Magneti Marelli" (Italy), created the holding "Automotive Lighting". Ryazan branch became a part of the new Corporation. In 2001, the holding company joined the "Seima". In 2003, "Magneti Marelli" becomes 100% owner of the "Automotive Lighting".

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