Monitoraggio di microinterruzioni
Fermare le fermate
Il sistema più efficace per il settore FMCG per il monitoraggio dei ritmi di produzione e dei tempi di inattività
Affrontare le microfermate e i tempi morti in produzione per migliorare la produttività
In factory production, manufacturing stops and downtimes are critical performance issues that often lead to delayed production and income loss. These unexpected interruptions can significantly impact production efficiency and output. Among these, “micro stops” are a deeper problem that is not easily recognisable. These brief, unplanned machine stoppages, typically lasting up to one minute, two minutes, or even five minutes, may seem minor, but their frequency over a shift, week, or month can add up, significantly affecting overall production.
Identifying and addressing these stops and downtimes is essential for maintaining a smooth and productive manufacturing process. Micro stops, in particular, can occur for various reasons, such as equipment malfunctions, material shortages, or human errors. Despite their brevity, their cumulative effect can lead to substantial losses in production volume and efficiency.
To tackle this issue, it is crucial to collect data from the machine’s Programmable Logic Controller (PLC) to accurately register and analyse these stops. By using advanced technologies like artificial intelligence (AI), it is possible to detect the specific machine responsible for each stop. This allows for a detailed analysis of the root causes of the interruptions, enabling targeted actions to prevent them in the future.
For industries such as Fast-Moving Consumer Goods (FMCG) manufacturing, where timely production is a key success factor, understanding and eliminating both significant downtimes and micro stops can greatly enhance productivity. Additionally, for production lines with frequent and unknown stoppages, having a system to analyse and address these issues is vital.
Micro fermate
Micro stops are unplanned machine stoppages that, depending on the plant’s criteria, last up to 1, 2, or 5 minutes. Stoppages longer than this are considered unplanned stoppages. While these incidents are brief, their cumulative effect over a shift, week, or month can be substantial, accounting for a significant portion of production downtime. These stoppages are especially critical in high-volume industries like Fast-Moving Consumer Goods (FMCG), where production speed is crucial to overall performance and results.
Is this improvement necessary to me?
- You know your OEE but you haven`t good root causes analysis
- You have identified production lines with the unknown and high number of stoppages
- You work in a factory with implemented OEE but with no specialised software to analyse upcoming data
Perché il sistema di monitoraggio Accevo Micro Stops?
Unlock the power of real machine data to drive lean actions and prevent downtime. Reduce the time spent on manual reporting of machine states by operators, and delve into deep analyses to understand why your machines lose availability.
Enable seamless machine communication by utilizing standard TCP and native PLC protocols like OPC DA/UA and Siemens. Retrieve vital data from the automation layer, including production counters, machine statuses, and essential process parameters.
Experience the advantage of a transparent overview encompassing all areas, coupled with in-depth top-to-bottom analysis. Our dedicated dashboards empower you with rapid problem and trend recognition, ensuring efficient decision-making.
Fermare gli stop. Richiedete il nostro whitepaper sui micro-stop.
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- Learn what are micro stops and how to prevent them
- Identify the best setup for your factory
Find out:
- How to collect data from machines
- What setups can you make on your line to identify micro stops
- How to identify stops on the screen
Come funziona?
Accevo’s AI detects responsible machine in the line.
- Registering each, even the shortest stop of the machine with its reason from PLC
- Reading alarms from PLC
- Algorithm assigns responsible machine if in the line
- Real machine data for lean actions to stop the stops
- Less time to manually report machine states by Operator
- Deep analyses why machine looses its availability
Qual è il nostro approccio?
Per mitigare il numero di microfermate, il team Accevo passa attraverso 3 fasi.
Identificazione
Fase
Analizziamo lo stato attuale dello stabilimento e creiamo un piano
Identifying and naming micro stops
- to define micro stops by machine.
- to define the time between micro stops and failures
- to create a list of all possible micro stops that can occur on a machine.
Connettività
Fase
Il nostro gruppo di ingegneri collega le macchine in loco
How to collect data?
The quickest way is to connect directly to a PLC driver – such a connection allows the Accevo team to access data such as machine states, state times, failure codes, production, waste counters, and more. If the machine is older or not equipped with a PLC driver, our team can add an I/O communication module to fetch the information about machine states and times.
Without the possibility to identify alarm codes the operator will have a greater share of the process, as he or she will have to describe the condition from a list of the most common micro steps by hand, choosing pre-made code from the dictionary. The bottom line is that all this data is real, as it is collected directly from the machines.
The collected data from the PLC will bring a lot of alarm codes, which have to be grouped and assigned to specific microswitches which allow for doing more precise analysis.
Analisi
Fase
Aiutiamo ad analizzare i dati raccolti e a ricavarne gli approfondimenti
Analysis of the collected data:
Analysing the operation of the line for a selected period of time – the range is arbitrary (shift/day/week/year), the manager can select the state of interest and, using the “drill down” method, get information about:
- What was the cause of the micro stop?
- How many micro stops there were during a given order (number of occurrences)?
- What was their total time?
- What was the share of this condition in the entire production?
In summary, with the right tools line manager can identify the dark area that causes micro stops. By connecting directly to the machines, the system has real data about the times and causes of downtime. The operator can easily describe undescribed downtimes, and management has a lot of properly grouped data with which it can reduce or completely eliminate micro stops. This is how we deal with the problem of micro downtime at our clients.
In quanto tempo è possibile ottenere il ritorno degli investimenti sulla soluzione Accevo Micro Stops Moniotring?
CRESCITA MEDIA OEE
Basato su risultati reali di fabbrica
CRESCITA MEDIA MTBF
Basato su risultati reali di fabbrica
Testimonianze
Machine Efficiency Loss Analysis, with focus on complexity impacts and machine reliability
Reliable reporting, Insights into aggregated results, tactical use for shiftly/weekly prioritization per Loss Category. 100% flexibility in accounting for user’s KPI standards, good understanding of Lean Manufacturing KPIs
Tonci M., Global Manufacturing Systems Manager
BAT Croatia
Thanks to MES system we are able to tracking a present production situation information about failures and potential risks – all information might to be recalculated into KPI Table supporting a Management proces.
MES system are integrated with existing data system which are feeding it into data from devices PLC, status of orders etc.
Rafał P., Digital Project Leader
Food & Beverages Company
Presentazione del sistema
Contatto con il nostro esperto
Perché ottenere una demo?
- A 60-minute online meeting with a dedicated specialist presenting a top system from an industry similar to yours
- Live modeling of your production process
- A budget quotation after the meeting
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Imparate a conoscere le cause comuni dei microstoppi durante il processo di produzione e come affrontarle per migliorare l'efficienza e la produttività.
Micro fermate sono piccole interruzioni che si verificano in una linea di produzione e che comportano tempi di inattività per le macchine o altre apparecchiature di produzione. Possono essere causate da un malfunzionamento della macchina o da un errore umano, il che rende difficile identificare il punto esatto in cui si verificano queste microfermate.
I dati sulla connettività della macchina vengono quindi utilizzati per identificare i punti in cui si verificano questi microarresti e adottare misure correttive per evitare che si ripetano nei cicli di produzione futuri.
Le microfermate possono essere dannose per il processo di produzione e devono essere monitorate attentamente. Spesso vengono trascurate dai supervisori perché non hanno un impatto immediato sulla produzione e possono passare inosservate per ore, causando cali significativi dell'OEE e mancate scadenze.
L'identificazione dei microfermate contribuisce ad aumentare l'OEE e a incrementare l'efficienza produttiva complessiva.
