WellinTech is a global professional automation software company. The company is mainly engaged in automation software with their high-end KingSCADA from general edition to specific industrial edition. WellinTech's products is now used in municiple, water conservancy, electric power, oil & gas, mining, metallurgy, petrochemical, environmental protection, transportation, aerospace, food & beverage, machinery manufacturing and other core industries.

AutoGrid Systems analyzes the exponentially expanding wave of data being generated by Smart Meters, building management systems, voltage regulators, thermostats and other equipment so utilities and end-users can obtain precise insight into where power is going and enact automated, responsive controls.

Established in 1980, Protech Systems Co., Ltd. specializes in the design and manufacturing of industrial PCs, automation products and embedded computers for companies around the world. Product lines include single board computers, book-size PCs, POS, and Panel PCs. Protech Systems is an Associate Member of the Intel Communications Alliance, a community of communications and embedded developers and solution providers. Protech is certified by TUV Product Services for ISO 9001 and ISO 14001. Protech is dedicated to providing customers with top quality, high performance solutions along with the most reliable professional service.

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.

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)

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.

KingSCADA software is a middle and high-end market-oriented product. It possesses many remarkable characteristics including completed functions, integrated management, modular development, high stability and easy to learn plus use, etc. Based on these, KingSCADA also provides abundant graphical development tools, stunning graphics elements and others which compose a facilitated developing environment. These will assist you to display the data through the consummate graphics. The modular architecture, break through the constraints of region and station scale, more flexible deployment, all these will highly enhance developer’s efficiency and make the system maintain much easier to the operators, so that it will reduce the cost and ensure overall system run safer and more stable.

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

Decision Automation for Industrial IoT - including: Complex Decision Authoring Edge Decision Analytics Event Stream Processing Anomaly Detection Process Optimisation Open and Closed Loop Control

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.

Omron, Toshiba, HollySys, Meiden, Samsung, Sinopec, Panasonic, Siemens

E.ON, Oklahoma Gas & Electric, Austin Energy and the City of Palo Alto Utilities

Bayernoil, BP, Total, Saudi Aramco

Hosokawa Micron Diageo Arneg