Before you talk TPM, you need to know that Industry 4.0 is revolutionizing manufacturing on many fronts - from production throughput; predictive maintenance and quality to supply chain and inventory management.
Indeed, while this wave of innovation is being greeted with great enthusiasm by a traditionally conservative industry; a clear deployment and ongoing management strategy is needed to successfully adopt Industry 4.0 technologies.
So, Total Productive Maintenance (TPM) is a lean manufacturing approach - developed in Japan in 1971 and widely used today - it is proposed as a strategy well suited to the smart factory and its IoT use cases.
In this article, we will cover:
-TPM therefore focuses on driving efficiency by organic means, i.e. using the company's existing resources.
Finally, the main objectives of Total Productive Maintenance are:
The TPM approach is attributed to Nippondenso (now known as Denso Corp.), a company that created parts for Toyota.
Dissatisfied with the preventive maintenance methods transferred from the U.S. in the 1960s, Seiichi Nakajima, considered the founder of TPM, promoted the idea that factory workers should assume a wider range of responsibilities for machine maintenance.
Indeed, instead of each machine/production line having separate employees for operation and maintenance; employees would be trained with the tools and knowledge to do both; giving them a more holistic approach to ensuring machine health.
TPM methodology creates shared responsibility among plant workers, and increased morale and pride in the efficiency and condition of machines and production.
TPM is based on another management methodology, also from Japan, known as 5S.
5S focuses on the organization of the work environment to improve efficiency and effectiveness through 5 main activities:
With 5S as its foundation, TPM proposes an 8-pillar approach that aims to cover all possible aspects of maintenance in industrial manufacturing.
First, here's an overview of these 8 pillars and how Industry 4.0 can take this approach even further:
Probably the most unique feature of TPM; the idea here is to make the people who work with a machine on a daily basis as "in tune" as possible with its behavior and performance.
Indeed, training operators to claim "ownership" of their machines; taking care of routine maintenance activities such as cleanliness; lubrication and inspection; and should be the first to try to solve problems as part of their training; before calling in expert technicians.
So, with Industry 4.0: As machines become more automated; monitoring improves and dashboards are easier to read; operation becomes less complex; making the "ownership" suggested by TPM much simpler and therefore more accessible to workers.
Maintenance prevents malfunctions, while interventions by high-level technicians are carefully planned to minimize downtime for software updates or parts replacement.
finally, with Industry 4.0: Using predictive maintenance by means of machine learning; maintenance activities are carried out only when necessary and can be timed to avoid downtime altogether.
Training and encouraging workers to identify production problems that ultimately lead to defects and quality problems.
So, with Industry 4.0: enter "predictive quality" - sensor data and machine learning help identify anomalies in machine behavior; alerting operators; who can then carry out targeted root-cause analysis. Problems can be corrected much earlier than was previously possible; reducing the financial damage associated with quality deterioration and defects.
Encouraging cross-functional team building and proactive involvement.
Problems affecting production are tackled by workers who start with the main obstacles/barriers, moving on to more minor inefficiencies.
So, with Industry 4.0: through organized data collection and the application of artificial intelligence algorithms (e.g.; artificial neural networks); less obvious correlations between defects and root causes can be exposed. Inspection information and hypotheses can be shared across the enterprise; enabling more synchronized and successful collaboration.
The design and installation processes for new equipment need to be planned on the basis of previous experience to ensure that performance targets are achieved quickly with a minimum of start-up problems and improved safety.
So, with Industry 4.0: production data in historical systems can be analyzed to identify best practices from previous installations / designs while taking into account current plant / factory conditions.
See Pillar 1 - operators are trained to maintain machines and identify problems. In turn, maintenance technicians learn approaches to more proactive work, while managers are encouraged to improve their leadership skills.
So, with Industry 4.0: SYRAM solutions offer an excellent opportunity to discover the complexities of manufacturing at all levels; from components and machines to production lines and overall facility management.
Finally, educational content can be online and available to employees 24/7. Novice staff can be assigned to experienced mentors who can access their activities and be available to answer questions.
A safer working environment is created by identifying potential health risks and hazards and striving to eliminate them. Uncomfortable conditions are detrimental to productivity, and employees should not be productive when they are at risk.
Finally, with Industry 4.0: sensors can measure air quality; radiation; temperature and other environmental conditions that can affect health and performance; while early detection of harmful gases; electrical surges and fires can save lives and prevent damage to equipment.
The TPM approach can be applied to systems not directly involved in manufacturing, including administration. The value of including administrative functions as one of the eight pillars is that this level of management - order processing; planning; personnel management; accounting - must be synchronized with other facets of the facility through effective communication, transparency and proven protocols.
so, with Industry 4.0: Artificial Intelligence algorithms are very well suited to analysis and decision-making processes; making this technology extremely advantageous for management.
Finally, according to the TPM approach, achieving excellence in each of the 8 pillars mentioned above is verification that a manufacturing plant is producing "world-class" results.
TPM has given rise to one of the most widely used Key Performance Indicators in the manufacturing sector: the Synthetic Efficiency Ratio TRS (OEE).
In fact, OEE is an important TPM metric, used to assess overall plant efficiency.
So, if we look at the objectives we have previously described for TPM, it becomes clear how they align for the calculation of OEE:
Finally, when you implement TPM in Industry 4.0; it makes sense to start with a proof of concept; analyze; and then move on to greater challenges. Choosing the right pilot is an important first step in the implementation process.
As Industry 4.0 progresses, further disrupting the way products and materials are manufactured and the market itself, new plant / factory management issues will arise.
In order to meet these challenges; managers would do well to use methodologies such as TPM to ease the transition to Industry 4.0 and to ensure an impact on the bottom line through improved production rates; quality and customer satisfaction.