IT in Manufacturing


Seven ways to reduce production downtime

February 2024 IT in Manufacturing

Production downtime is one of the biggest risks in the manufacturing industry. From equipment failures to shortages of raw materials, any production downtime can result in major losses in revenue and market share. There are two types of downtime: planned and unplanned.

Planned downtime is a scheduled shutdown of manufacturing equipment or processes to perform maintenance, inspections, repairs, upgrades or manufacturing setups. It is essential to plan downtime for maintenance to keep your equipment in its optimum condition and to avoid unplanned downtime. Although planned downtime interrupts your manufacturing process, you are still in control of productivity processes.

Unplanned downtime occurs when there is an unexpected shutdown or failure of your manufacturing equipment or process. It causes foodstuffs to spoil if they are not packaged, together with expensive delays in production and delivery schedules. Additionally, when operations are unstable, it is more difficult to adhere to environmental regulations and comply with sustainability measures. This could result in an increase in environmental incidents. Thus, preventing production downtime is key to ensuring productivity. Follow our seven tips to reduce machine downtime in your production line.


Develop a system for quickly identifying and resolving production issues

The system should gather and analyse data that gives insight into the equipment’s total maintenance requirements. Interpretation of the data can help your teams resolve production issues by carrying out preventive maintenance. The implementation of such a system allows factories to cut down on time lost due to production issues, and prevent costly unplanned downtime by alerting employees of possible upcoming equipment failures.

Use predictive analytics to identify potential problems before they occur

Predictive analytics detect patterns in real-time machine data that could lead to the onset of a problem. Data analytics can inform you weeks in advance about which parts of a machine are likely to fail. This allows you to plan your maintenance schedules and order spare parts in advance, effectively reducing downtime and lessening the likelihood of issues reoccurring.

Implement a preventive maintenance programme

Preventive maintenance programmes are one of the most effective ways to minimise unplanned machine downtime. You can routinely collect valuable information about your equipment for a systematic maintenance approach. With the right targeted maintenance, you can react to predicted equipment failures or accidents before they occur. By reducing the possibility of unexpected downtime, your staff can focus on more profitable tasks.

Create a system for dealing with glitches and problems as they arise

Having a system that tracks and monitors glitches as they arise allows you to identify the root cause of an issue in your production line. This will enable you to understand how production failures occur and how to prevent them from happening again. This reduces unplanned machine downtime while increasing manufacturing efficiency.

Automate as many processes as possible to reduce human error

Reduce downtime and make your production process more efficient by automating repetitive and tedious tasks that are prone to human error. This will give your staff more time to focus on profitable tasks and develop their skill sets, which will translate into higher profits for your company and show your workforce that they are your most valuable resource.


Train operators on how to properly operate equipment

Training operators to use equipment properly can significantly reduce downtime in your manufacturing process. If operators know how to use equipment correctly, they are less likely to halt production, and can respond faster in emergency situations. Proper training also prevents unplanned downtime caused by human error, and decreases the risk of workplace accidents.

Use intelligent IIoT solutions

Intelligent IIoT solutions help reduce downtime by providing you with a system that quickly identifies and resolves production issues. It tracks and monitors your equipment and process with predictive analytics, enabling you to create a maintenance schedule and order the necessary spare parts ahead of time. Sensors and data analytics enable IIoT to track and monitor performance continuously and process optimisation data from your equipment. This gives you the opportunity to implement preventive maintenance and predict potential issues as they arise, effectively lessening the frequency of planned or unplanned downtime. IIoT also enables the automation of tasks, shortening the time it takes to complete them and ultimately boosting productivity and reducing human errors. Thanks to its user-friendly tools, it is easy to learn how to operate IIoT. Your workforce will be able to use it properly in no time.




Share this article:
Share via emailShare via LinkedInPrint this page

Further reading:

Transforming battery manufacturing processes
IT in Manufacturing
Siemens and Hirano Tecseed, a Japanese machine builder, are partnering to transform battery manufacturing processes.

Read more...
From Trojan takeovers to ransomware roulette
IT in Manufacturing
Cisco’s Cyber Threat Trends Report offers a comprehensive and overview of the evolving cybersecurity landscape, leveraging its vast global reach through the analysis of DNS traffic.

Read more...
The road to decarbonisation in mining
IT in Manufacturing
The mining industry is a key player in global carbon emissions, and ABB’s eMine is at the forefront of efforts to drive the sector’s decarbonisation.

Read more...
Siemens democratises AI-driven PCB design for small and medium electronics teams
Siemens South Africa IT in Manufacturing
Siemens Digital Industries Software is making its AI-enhanced electronic systems design technology more accessible to small and mid-sized businesses with PADS Pro Essentials software and Xpedition Standard software.

Read more...
Siemens’ PAVE360 to support new Arm Zena Compute Subsystems
IT in Manufacturing
Siemens Digital Industries Software is expanding its longstanding relationship with Arm and adding support for the newly launched Arm Zena Compute Subsystems in its PAVE360 software, designed for software-defined vehicles

Read more...
Empowering OEMs in industrial automation
Schneider Electric South Africa IT in Manufacturing
Organisations are increasingly focusing on empowering OEMs within the industrial automation sector

Read more...
Fortifying the state in a time of cyber siege
IT in Manufacturing
In an era where borders are no longer physical, South Africa is being drawn into a new kind of conflict, one fought not with tanks and missiles, but with lines of code and silent intrusions. The digital battlefield is here, and cyber space has become the next frontier of conflict.

Read more...
Levelling up workplace safety - how gamification is changing the rules of training
IT in Manufacturing
Despite the best intentions, traditional safety training often falls short, with curricula either being too generic, too passive, or ultimately unmemorable. Enter gamification, a shift in training that is redefining how businesses train for safety and live by those principles.

Read more...
Reinventing data centre design: critical changes to meet surging
Schneider Electric South Africa IT in Manufacturing
AI technologies are pushing the boundaries of what is possible which, in turn, is presenting data centres with a whole new set of challenges. Fortunately, several options are emerging which include optimising design and infrastructure for efficiency, cooling and management systems

Read more...
Watts next - can IT save the planet
IT in Manufacturing
The digital age’s insatiable demand for computing power has collided with an urgent and pressing need for sustainability. As data centres and AI workloads consume unprecedented energy, IT providers are pivotal in redefining how technology intersects with environmental stewardship.

Read more...









While every effort has been made to ensure the accuracy of the information contained herein, the publisher and its agents cannot be held responsible for any errors contained, or any loss incurred as a result. Articles published do not necessarily reflect the views of the publishers. The editor reserves the right to alter or cut copy. Articles submitted are deemed to have been cleared for publication. Advertisements and company contact details are published as provided by the advertiser. Technews Publishing (Pty) Ltd cannot be held responsible for the accuracy or veracity of supplied material.




© Technews Publishing (Pty) Ltd | All Rights Reserved