Makoro™ celebrates opinions and voices on Industry 4.0

We celebrate interesting expertise, personalities,
and views on our industry.

May 29, 2021 | Himadri Garg

Why Industry 4.0 Adoption Has a Significant Upside

Why Industry 4.0 Adoption Has a Significant Upside
When manufacturing began to embrace digital technology a decade ago, it acquired a new term: smart manufacturing, or Industry 4.0. By incorporating cloud, automation, advanced analytics, machine learning, and big data into manufacturing and supply chain management operations, a connected…
May 26, 2021 | Himadri Garg

Industry 4.0: Strengthening Maintenance and Reliability

Industry 4.0: Strengthening Maintenance and Reliability
Industry 3.0 pioneered the idea of automated mass manufacturing, enabling the efficient production of millions of similar goods. As the process's pace and size grew, labor became an impediment, ushering in an era of outsourcing. Manufacturers rapidly outsourced labor-intensive operations…
May 24, 2021 | Himadri Garg

Three Human Factors Critical to Industry 4.0 initiatives

Three Human Factors Critical to Industry 4.0 initiatives
Manufacturers worldwide are under pressure to modernize their factory workforces, but 57 percent of manufacturing leaders report that their company lacks the trained staff necessary to support digitization plans, according to a Gartner, Inc. survey. The survey found that manufacturers…
May 18, 2021 | Himadri Garg

Four ways asset OEMs, owners & operators can remove roadblocks to delivering intelligence

Four ways asset OEMs, owners and operators can remove roadblocks to delivering intelligence
This and the last year has been eventful for all sectors, but the pandemic has been particularly devastating for the manufacturing sector, which relies on the delicate balancing of supply chains to work effectively. As one of the first industries…
May 17, 2021 | Himadri Garg

Take control of your proprietary data

Take control of your proprietary DATA
The current IoT landscape is highly OEM-centric - it is heavily OEM-data-biased and at first services the interests of the equipment manufacturer. The end customers, the asset operators, plant owners, and process owners, have been sharing their operational data with…
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