Structure your operations in agile network
mars:hello! is the editor of operationNetworks, a web service to coordinate your unforeseen events with stakeholders spread across various offices and in the field. Take informed decisions: explore your innovation and understand your crisis thanks to your chosen information merged into a comprehensive synthetic view.
The mars:hello! technology inherits from Model Driven Engineering and DevOps concepts. Starting from a simple model of your collaboration network, operationNetworks generate an infrastructure offering all interaction services with your operation.
operationNetwoks is the tool for continuous information delivery in collaborative organizations that involve a diversity of actors and businesses, tools and situations. operationNetworks integrates contributions and shows this compiled information decorated with your alert signals on a virtual web wall.
Easy to use
Simply draw your collaboration network: point out the need-to-know information for your operation and collect it directly from your contributors giving quality indicators. Explore your innovation and understand your crisis thanks to the merged information into a comprehensive synthetic view, displaying the instantaneous status of your operation and exchange dynamics.
Draw your network ...
operationNetworks is a structured space for secure information exchange and efficient decision making. How to use it? You start by drawing an agnostic model with a super light formalism to express as informally as possible the very formal: Who, What and How good. This sketches your collaboration network model, that is:
- Who provides the information?
- What is this information everyone should understand in a multidisciplinary context?
- What is the nature of data you need to provide?
- How far can you thin out your specialized data needed by other teams, helping them to move forward in their tasks?
- How can your information maturity be a signal for the overall maturity?
You may have clear ideas for your operation intention, but trying to answer all these questions collectively in a kick off meeting for example, levels up the understanding of each stakeholder contribution to the whole project. Drawing your contribution model logs expected deliveries, and empowers teams involved.
This can be incremental, you can sketch up a very basic model, even one among the generic ones provided: they fit a lot of collaboration cases. This sketch roughly logs the intention, and you can refine it all along the operation life, without loosing the construction history.
... and run it
Start means bringing the model to life: running it. This enables invitations to contribute to your identified stakeholders via web forms. Should it be a simple check list of their work progress, data delivery, or a simple text note giving brief information, or both, your collaborators receive an email containing the URL link of their contribution part, with fields to be filled, commented and submitted.
Instantaneously and continuously, all information provided is computed to be integrated in the global operation synthesis, a wall accessible to all contributors with a web browser. This is the dashbord of your operation, the same design you have drawn, only the model is now alive and has data attached available for download, statuses and a browse-able collaboration history.
All along the life time of your operation, you can refine and re adapt your collaboration network model: add new technical areas, extra information and include new contributors.
- Cross discipline synthesis based on meta indicators chosen by actors
- Synthetic view of the running operation: good tool to pilot decisions and redefine objectives
- Business tool agnostic: fits seamlessly your existing business workflow, complementing your tools in place
- Unifies stakeholders towards the common goal and favors parallel work
Customization as a service
We can implement a specific business view for your operation dashboard. A rendering of the operation wall fitting your business culture, for a comprehensive display meaningful to decision makers: 3D and 2D views, specific documents display, indicators representation…
We can integrate operationNetworks with your legacy tools: if you have pointed out data of interest from your enterprise configuration management, mars:hello! proposes to automate this data life cycle publication towards operationNetworks, and make available contributions and statuses in your existing software. Please contact us.
ExoMars mission planner experiments for the exploring Rover
The European Spacial Agency designs space missions in a concurrent engineering context: teams of experts from several disciplines implement the exploring Rover robot orders from the strategic mission.
Rover Egress testPhoto: ESA–G. Porter
These simulations do rely on environment models that are evolving continuously: they are constructed gradually from various Rover data acquisitions that are collectively processed and analyzed, leading to an increasing knowledge of the surrounding terrain. This is done incrementally, and even if ESA tools do fit this assessment process and register conclusions, a communication channel is missing to update the technical scientific community and the mission coordinator with intermediary results and statuses. Because as soon as a satisfying accuracy is reached for the environment model, the implementation of the activity plan into robot actions can be validated. This assesses new robot commands for the next real telecommand broadcast. Non-nominal cases require an adaptation of the plan and may lead to a consensual decision like rescheduling the daily plan.
Bring structure to Slack chatter
Throughout the experimentation, informal communications, intermediary results and statuses were broadcasted via operationNetworks, by operators and experts. Contributors were able to communicate more on their ongoing analysis, and therefore accelerate parallel work. Statuses of all these exchanges showing maturity and readiness on a web page led to quicker decisions, and allowed some distant observers like executives to follow the experiment as well.