Near-Miss Management LLC provides a uniquely effective, enterprise risk detection and advanced warning platform for the process and energy industries. Our approach is based on identifying near-misses, hidden in volumes of process data recorded in plants. Patented analytics rip through millions of data points to identify developing problems at very early stages and allow operating teams to avert unexpected failures through timely corrective actions.
Described as 'disruptive innovation’ by customers, our methods are enabling proactive management to increase both safety and profitability. Our technology has been developed through years of research in solving common challenges faced by industrial facilities – providing us a unique expertise in risk management, near-miss management and big data analytics technology.
XpertRule is a global leader in Decision Automation solutions with a focus on the Industrial IoT.
Our software combines Machine Learning
with human expertise and deploys across the IoT ecosystem from the Edge, to Cloud and mobile device (for alerts and troubleshooting)
The Thing + Embedded Works offers a number of different sensors and Actuators
so that the device can connect to the Internet. In collaboration with various partners HW enables customers to configure a set of desired unit.
ionSign is a close-knit group of IoT enthusiasts: coders, engineers and developers.
ionSign’s products are electronics packed with smart Embedded Software
. They utilize cellular and LAN networks, field buses and RF technologies for collecting and transferring data from commercial and industrial settings. We work closely with system integrators and data analyst firms to provide end-to-end IoT solutions.
Besides fitting many purposes straightaway, ionSign’s products provide a versatile platform for case specific device development. We provide it for you.
IntelliSense.io aims to be the PARTNER of choice for industrial infrastructure owners & operators, to deliver a step change in productivity and efficiency within their plants, processes & people. They create Internet of Things
(IoT) Applications to improve productivity and efficiency in capital and asset-intensive industries.
Year founded: 2013
Simevo is a young startup with the mission to provide flexible technologies for the simulation of industrial continuous processes and of financial cash flow, that can be used to implement smart forecasting solutions.
Tired of simulation technology which is inaccessible, expensive and obsolete? simevo is a lean supplier of innovative simulation technology that will help you face the challenges of the evolving business environment.
PRINCEPS is an R&D intensive company. We have conducted a significant R&D effort in cooperation with academic organisations in Europe (PRINCEPS is the initiator and coordinator of several EU funded projects).
Strong with more than 15 years field experience through planning and scheduling projects worldwide, we have developed an innovative software suite which introduces a new paradigm in this domain.
Most importantly, PRINCEPS has developed over the years, a strong working partnership with its clients, which is at the foundation of its customer oriented culture.
The Oil industry is one of the pioneers in the widespread adoption of optimization techniques. The term “Refinery optimization” has consequently evolved to become a multi-faceted concept.
At an abstract level, refinery optimization is about getting the most from the existing assets; by extension, it can also refer to the most profitable investments in new equipment or new assets. This first distinction gives rise to 2 horizons of application to refinery optimization: long term, structural optimization, and short term operations optimization. Moreover, operations management itself can be addressed in a variety of ways, depending on whether the approach taken to refinery optimization is bottom-up, or top-down:
The top-down approach is based on hierarchical optimization: the refinery optimization problem is addressed as a succession of optimization problems of different time magnitudes and granularities. The first problem is a mid-term planning problem and is concerned with the refinery as a whole and a time frame of one to several months. Subsequently, the time frame is subdivided into finer time intervals. At the lowest level, the theoretical goal is to achieve operations scheduling on a day to day basis.
The bottom-up approach is one that starts with local problems and tries to aggregate them into a consistent solution at the refinery level.
In contrast to traditional bottom-up approaches – which attempt to build an overall solution by aggregating local solutions – we start by achieving a feasible, “good quality” overall solution using our smart simulation engine. Then, guided by the consistent overall solution, we seek to optimize local operational challenges.
Our innovative approach to refinery optimization takes account of 2 crucial facts:
- Day-to-day operations are subject to uncertainty,
- Regardless of the inherent formal difficulty of achieving an overall refinery schedule optimization, an overall optimized schedule is of little use.
This is simply because an overall solution achieved that way is inherently unstable: the slightest change or unforeseen event means that the whole schedule must be rebuilt. And given the huge amount of inertia in such a large system, any sudden change of trajectory consumes an equally huge amount of energy.
Under this pragmatic perspective, refinery optimization appears as the search for a maintainable globally feasible, locally optimized schedule. Optimization is applied to sub-systems where a high economic impact is achievable.
Prodsmart is real time process Tracking
for production lines and job shops. We turn any production line into a digital Smart Factory
Our Manufacturing Execution System (MES) turns smartphones and tablets into sensors to collect process data directly from the shop floor, eliminating paper and providing real time analytics that allow for waste reduction and efficiency improvements.
Paperless manufacturing is a longtime sought opportunity. We provide it.
We founded RoviSys as an independent control system integrator because we felt systems owners wanted those freedoms, to be enabled, not restrained.
Since its founding in 1989 as one of the first control systems integrators in North America, RoviSys has evolved to become a leading independent provider of comprehensive process automation solutions and services.
With the resources, experience and skills to solve and support practically any process automation and integration challenge, the company’s more than 500 engineers, developers and project managers make RoviSys an excellent choice for companies of all sizes looking for real solutions.
RoviSys is a control system integrator and product development company with a foot planted firmly in the old and the new worlds of technology. Our engineers and developers know proprietary systems: Before joining RoviSys, many of them created some of the most successful large-scale control systems of the last decade.
But more than a decade ago, these same engineers and product developers recognized that companies investing in the most proprietary of systems wanted something more-- the freedom to choose the best available technologies and solutions with alternatives for support and upgrades. In short, they wanted open systems. RoviSys was founded in 1989 to fulfill those wants.
The RoviSys commitment is simple: provide clients with world class information integration and process controls using the best available components and platforms, regardless of who makes them. In short, give clients choices.
RoviSys has the resources and skills to solve and support practically any process automation, manufacturing information and integration challenge. This breadth of resources and depth of experience makes RoviSys an excellent choice for companies looking for advanced and proven solutions. The company's offices are located near Cleveland, OH, Raleigh, NC, Boston, MA, Houston, TX, and Singapore.
Dynamic Risk Analyzer™ (DRA) has been proven to improve safety, reliability, and on-stream efficiency in industrial plant operations. It delivers actionable, early indicators of process issues – typically days and weeks before the alarms go off. What makes it unique is our distinctive, patented approach of identifying hidden near-misses™ in the process data. This enables the operating teams to avert problems just when they are beginning to form, to plan Predictive Maintenance
, and to achieve ultimate safety and bottom line.
Reduces Unexpected Shutdowns and Process Failures - DRA is designed to uncover hidden problems, so you can stay focused on finding solutions, not hunting for problems.
Increases On-Stream Efficiency and Capacity Utilization
- DRA provides peripheral vision on issues developing on the sidelines, enabling you to address new risks and their drivers.
Improves Process Safety and Reliability - What makes DRA unique is its ability to rip through the entire spectrum of process data, uncovering problems, long before humans or alarms can.
Decision Automation for Industrial IoT - including:
Complex Decision Authoring
Edge Decision Analytics
Event Stream Processing
Open and Closed Loop Control
Data acquisition devices for IoT & Big Data applications form the backbone of our products. Energy management is an especial core competence, for which we have advanced solutions.
ionSign is platform agnostic, our products communicate to your bespoke data system, or the commercial cloud of your choice - MS Azure, AWS, Bluemix, or our own ionSign Cloud.
Large industrial infrastructure such as mining sites, factories, power plants and oil & gas fields will need to adjust to a new world order of increasing operating cost and a variable commodity price, this will drive the need to make significant improvements in productivity and efficiency within a tightening capital budget.
These industries produce tens of billions of sensor data points from their existing equipment, systems and processes. IntelliSense.io believes an enormous amount of productivity and efficiency improvements can be unlocked from this data by optimising the configuration of existing equipment and control systems enabled by our modern Data Science
software, online simulation software and real-time wireless sensor networking knowledge, that generates data insights with minimum disruption to existing operations.
Mobile, Cloud and Internet of Things
Implement smart forecasting solutions based on our flexible simulation technologies - interface with everything from SCADA to ERP thanks to Python, C# and RESTful HTTP APIs.
PRINCEPS’ scheduling technology represents a technology leap through a variety of innovative features, such as:
- The capability to dynamically modify events during simulation, making a schedule self-adjust its events to the simulation results
- Schedules and models archiving and “versioning”, merge different branches from different users, or rolling back schedule changes as needed
- Smooth and continuous transition between model versions within the same schedule
Industry 4.0 is the technological movement that represents the next phase of manufacture industries which results in a full Digitization
of productive systems, connecting machines, people and processes.
One of the main goals of Prodsmart is to catalyze Industry 4.0
through the mass adoption of the systems that allow all this movement to happen.
We speak directly to the people within the organisation and we empower them. We provide them the ability to make quick decisions, short and autonomous software-implementation processes, with a quote and service level adjusted to their needs and level of usage. But Prodsmart’s relationship with people doesn’t stop here: we are a layer of virtual automation which transforms any production line into a smart digital factory, bringing the people, the processes and the machines together, converting the operators into knowledge workers and aiding the managers to take informed decisions.
We feel that the concept of Industry 4.0
is deeply broken by leaving the people behind. It is too focused on machines and data and less focused on information, processes and people.
However, the majority of the manufacturing landscape is comprised of very small businesses, which do not have access to the level of sophistication that’s being discussed. The role of the people is extremely important in manufacturing SMEs.
We do believe that in a world that is becoming more and more digital the most important element in technology is the people and this is reflected in the way we approach and engage with our current and future users.
Macgregor, Enersize, Enegia Group, Idolo, Ekeri
Global Foundries, KazAtomProm
Bayernoil, BP, Total, Saudi Aramco
BySteel, Science4You, J3LP, Sonafi