We are using advanced analytics and AI to revolutionize the way factories are designed, run and improved.

Your pain, our business

A factory is comprised of people and thousands of electronic and mechanical devices with different operating and failure modes. This makes it a complex system to design and operate optimally. Faced with this complexity some people tend to rely on manufacturing theories or guessing based on their experience. It might sometimes work but not always. We built DispoX to help you make informed business decisions that work every time so that your company can reach excellence in engineering and operations.

Today’s factories are like Formula One cars; you need some level of expertise to run them efficiently. We are looking for a tool that can help our plant managers better understand their plant.

Carmaker executive in charge Factory Engineering Worldwide

Why should you use DispoX?

Accuracy

Trust science,
stop the guessing game!

We leverage on new developments in Industry 4.0, three decades or research at MIT and elsewhere along with track record of successful implementation in several companies to build DispoX. DispoX core modeling technology is the Analytic Twin ModelTM (ATM). It uses Advanced analytics, AI and Machine Learning. Its analytic nature deciphers stochastic aspects embedded in existing simulation software models, which improves estimate accuracy. DispoX’s ATM groundbreaking speed allows us to cover a wide range of challenges and requirements thereby providing our customers with exceptional capability to accurately model, analyze, optimize and predict factory performance at any stage of its existence: design, operation, upgrade. This is absolutely unique on the market place.

Intelligence

We encapsulated our intelligence in DispoX so that you do not need to be an expert to take care of factory performance.

DispoX is not another inert and static tool. It is built by renowned experts in manufacturing systems with a total of 80+ years of experience in academia (MIT) and industry (Peugeot, McKinsey) doing research and testing on real cases.

Their expertise has been condensed in artificial intelligence and machine learning modules that can predict and provide recommendations to ease DispoX users’ tasks, in a modern and intuitive work environment.

Intelligence

We encapsulated our intelligence in DispoX so that you do not need to be an expert to take care of factory performance.

SPEED

We provide instant response, comprehensive visibility and collaborative tools to speed-up your decision-making process

To design or reconfigure a factory, the standard tool is simulation software. Simulation software has two major drawbacks that prevent an efficient use: complexity and long runtimes. DispoX offers an innovative approach based on Analytic Twin ModelTM. Our runtimes are in seconds. This enables exploration of multitudinous scenarios that capture decision envelope and quantify uncertainty, thereby providing the user with the best response fast. We believe the fastest way to get it right first time is to have multi-function teams work in a collaborative way. DispoX working environment, which is cloud-based and accessible from anywhere, is anchored on this premise. It provides tools to instantaneously create, share, store in one place thereby channeling collaborative work between all functions, throughout every step of a factory evolution, be it design, operation, upgrade.

In the realm of Industry 4.0, technology leaps that are not made by you will be made for you… most probably by your competitors. To learn more about why DispoX should be the linchpin of your company’s Industry 4.0 transformation, contact us.

SOLUTIONS

We thought at DispoX as an intelligent assistant that can provide teams with the support they need all along each step of the factory evolution to manage its performance collaboratively: Factory Design, Factory Operation and Factory Upgrade. It really is about Factory Performance Lifecycle Management. DispoX helps answer some of the most challenging questions key stakeholders involved in the factory performance are confronted with. These stakeholders usually cover a wide span of functions: Finance, Strategy, Engineering, Production, Industrial Engineering, Production Control & Logistics, Continuous Improvement.

Factory design

Engineering Team
Is the factory being designed going to reach the production rate target? Which factory design will provide the requested throughput at minimum cost?
Finance, Strategy Teams
What is the range of ROI and IRR for each investment scenario? Should we build a new factory or increase the capacity of an existing one?

Factory Operation​

Production Team
What are the key actions to achieve a successful ramp-up? Are we on track to achieve the daily production, if not, what can be done to reverse the trend?
Production Control & Logistics Team
What is the best control policy for the factory? What is the optimal level of buffers?

Factory upgrade

Industrial Engineering Team
What is the impact of the new product introduction or mix change on the production? What is the factory physics map - i.e., key points or items instrumental in meeting the factory goals?
Continuous Improvement Team
To prioritize my activity, what is the cost and the impact of improvement actions at hand? What are the efficiencies of the KR 1000 titan robots within our factory? How are they compared to other factories?

ENTERPRISE PLATFORM

DispoX provides an Enterprise Platform for effective collaborative and transparent workflows. It also includes personalized, role-specific insights. Business users can configure dashboards which provide personalized insights with recommended actions. Enterprise Platform is a gateway to a global, secured, unified access to enterprise availability and performance data pull from equipment, lines and factories. This transparency fosters best practice sharing, which enables stakeholders to get to the right solution fast.