解决制造过程中的微停顿和停机问题，提高生产率
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.
微型站
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
为什么选择 Accevo Micro Stops 监控系统？
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.
停止停止。获取我们的微型止损白皮书。
停车
- 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
它是如何工作的？
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
我们的方法是什么？
为了减少微型站点的数量，Accevo 团队采取了三个步骤。
识别
阶段
我们分析工厂现状并制定计划
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.
连通性
阶段
我们的工程师团队现场连接机器
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.
分析
阶段
我们帮助分析收集到的数据并获得洞察力
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.
如何快速获得 Accevo Micro Stops 单环解决方案的投资回报？
平均 OEE 增长率
基于真实的工厂结果
平均周转基金增长
基于真实的工厂结果
客户感言
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
系统介绍
联系我们的专家
为什么要得到一个演示？
- 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
