It is an strategic sofware piece for the cyber factory. Traditional MES are more operative systems filling the gap between the MRP-2 and the real-time that imperates in the shop floor, but the fact of having in Captor embebbed-friendly intelligent algorithms convert it in something valuable difference. Here’s why.
The sense of the cyber factory is not only advanced flexible automation and its main cast the robotics, but the intention of having permanently under real-time control by humans its intrinsinc natural concurrent events as well.
These events range from horrizontal and vertical SPC warnings and predictive machine and process reliability to flexible flow optimization and lead-times alarms.
The think is not to pretend a model in wich the computer decides what to do using the A.I. and traditional advanced algorithms that Captor manages. This, through complex enough to the programmed, is not useful by itself, because would represent only tactical actions.
What means that? Single tactical actions lack the intelligence of strategical high-level mind decissions only qualified humans can have. So, the challenge that Captor® – Prisma® has solved is to give people the filtered capacity to concurrently interact with the low optimized level decissions presented by it’s A.I. models, calculus that humans can’t compute with precission nor the agility of the real time, as well as the criss-cross complications of integral alarms over process, maintenance and flows.
The advantage of that is confidence and acceptance by engineers and plant operators, as well as (very crucial) the capacity of the Captor®-Prisma® models to train people in the roots of process and reliability variations.
So the expectations of an I-MES like Captor® over other plane MES systems is that in a correct implementation:
- Quality improves directly at least 50% more.
- Machine breackdown is directly reduced al least by a 80%.
- Lead times are reduced by at least a 50%.
- Engineers and operators grow in their technical level, putting them in a plane un-reachable by robots.
The implementation steps are so more delicated and important that with traditional MES, but it worths because all of that means a direct pay-back of 1 year or less.
CONOCE LOS COSTES REALES DE FABRICACIÓN Y HABILITA UN CUADRO DE MANDO REALISTA QUE APOYE LA TOMA DE DECISIONES ÁGIL
En toda situación, y particularmente en tiempos de incertidumbre, es clave disponer de un cuadro de mando realista que apoye la toma de decisiones.
Sisteplant te ayuda a perfeccionar tu modelo de costes y presentar la información en “tiempo real” para su análisis a través de un roadmap progresivo elaborado a partir de nuestros más de 35 años de experiencia en el sector industrial.
Extrae el máximo provecho de toda la información de costes a todos los niveles de tu fábrica.
Domina la información de costes de manera clara y transparente para tomar las mejores decisiones de forma ágil y efectiva.
Is digitalization suitable for SMEs? Any company of any size can define a deep industry 4.0 transformation roadmap, or this is just a big players game? How to find what it takes to start a rollout?
Small and medium-sized enterprises (SME) are at the core of business development in Europe. 25 million companies, producing 50% of European GDP and 2 out of 3 jobs are coming from SMEs. Digitalization should be the cornerstone for business success but somehow we need a final push to jump from the springboard, when it comes to implementation.
What it brings. Clarifying goals to be achieved.
Opportunities coming from an Industry 4.0 roadmap are on everyone’s lips, but sometimes it’s not so easy to find arguments to justify our own case and move ahead. Here are some clues that can be helpful in order to understand what digitalization brings to a SME.
|Cost reduction||It’s easy to think that one of the first source of benefit that can be identified is close to direct labor cost reduction. Automatization of manufacturing operations and tasks performed by workers comes to direct headcount savings.
Nevertheless, the impact in indirect labor is also relevant. Information gathered from the shop floor is downloaded into a data lake creating a structured plant information map. Dashboards and both real time and historian analysis tools are deployed to help decision taking. This deployment comes with the reduction of non value tasks and the optimization of indirect labor.
|Increase of plant capacity||OEE and LTA (lost time analysis) metrics allow to identify hidden sources of waste.
Plant teams are trained in lean manufacturing techniques and waste reduction initiatives become part of day to day factory culture.
New machine capacity arises as waste is been reduced.
|Resources usage (water, coolants, energy ….) can be easily gathered from IoT devices. When included in the equation, sustainability metrics are calculated and so the impact on the environment can be tracked.
Very often environmental care can easily be translated to cost saving figures.
|Customer loyalty||Production follow up, idle times identification and wip optimization come to lead time reduction. Depending on the manufacturing strategy (product structure and process flow) savings can be huge.
Variance reduction (with 6sgima, SPC or deep knowledge models) increase process robustness and therefore lead to higher quality standards.
Both lead time and non-quality reduction are key factors to increase customer satisfaction.
People development and organization growth
|Data becomes a new raw material. The smart use of factory data leads to new disruptive opportunities.
o Machine learning models based on real data allow to create explicit knowledge on how processes work, and to deploy this knowledge organization wide.
o New capabilities are developed in existing workers mixing up both manufacturing and IT skills.
o Business as usual is continuously questioned and innovation processes are part of day to day job.
o Plant is a technological entity plenty of attractive for new talent recruiting.
Adding the specifics of each industrial sector and the maturity level of each company, the above arguments, and for sure many others, can be the basis for setting up a reliable transformation project.
What it takes. Best practices tips
Transformation roadmap is not an easy process and there are many decisions to be taken that can make the project fail. There are some tips that can help in the early stages
- Make your customer the hearth of the process. Market trends and customer needs are changing. Define your goal starting from your market/customer requirements and then design the transformation roadmap
- Think Big. It needs to be challenging. No limits to creativity must be set. Opportunities can be hidden anywhere.
- Think global. Transformation process demands and holistic approach to lead to success. Think global even though you have to start local.
- World class transformation. Digital transformation needs to be combined with and organizational transformation based on world class manufacturing principles and methods.
- Full commitment. Involve the whole organization from manager board to workers
- People Centric. Technology is not the goal is just an enabler. The competitive key is how our teams are taking advantage of new techs deployed. People transformation is mandatory since Human Factory is one of the key axis.
- Set up a partners network. Industry 4.0 enabling technologies are evolving really fast. A wide collaborative network will allow accessing digital specialists when needed.
Once our goal with digitalization is fully understood a tangible case study can be set and will clarify the benefits of deploying a transformation roadmap. Financial figures based on short term benefits are needed, but beyond this, there are insights that if properly focused to cultural change that can boost ROI. Don´t forget to add them to the magic formula.
Supply chains breakdowns are being one of the handicaps for recovery. This CV-19 crisis is showing us how dangerous excesive dependence could become.
These are, in general, low tech added value – low cost products (LTAVC), but that are an essential part in our manufacturing industry: from sanitary commodities and equipment to electronics, aerospace and car parts.
All of them were brought there by means of new facilities or subcontracting, the first by the lure of a blooming local demand. Apart from geostrategical considerations, an unbalanced LTAVC may lead to excesive dependence, and more worrying, the lost of ability to produce with high efficiency and agility when today’s manufacturing technology gives the opportunity to do so.
Anyway, we have to be ready for coping with the next disturbing event, sure they will become frequent in angry world: periods of superficial non-rigurous doings create the anger for deep changes, and deeping means transitory unpredictability.
So’s likely à world-wide or world-area crisis will stall in the next future.
And so we have an opportunity and an emergency to re-industrialize developed countrys, like Spain is one, with those LTAVC products that once we mispriced. But we have to do that over solid-competence shield plants: Cyber-factorys.
One operative sheet-metal parts Cyber-F is the Sisteplant engineered AIC-ASF in Amorebieta (Basque Country – Spain). It performs the features of such manufacturing sites must have:
- Powerful Design for Manufacturing skills.
- Near full flexible Automation with “zero” set-up time.
- Very reliable machines with high throughput.
- Predictive A.I. (artificial intelligence) software to operate the plant from quality, maintenance, scheduling and flows integrated sides.
- Near Unmanned operation, but computer-aided virtual manned engineering and control.
- Round the year round the clock operation.
All of them aiming to get extreme high quality and reliability, and low-competitive cost.
The CAPEX (ROI) is justified this way:
- Direct costs differences made very small, and possibly cheaper than before.
- Supply chain costs reduced to almost zero.
- Scheduling and supply overhead costs reduced to almost zero.
- Inventory carrying costs reduced also to zero.
If interested in more, please contact with Borja Arenaza, R+D Dtr,