Digital Energy
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Common Industry Challenges

The ability to adopt digital technologies swiftly and efficiently impact the success of an
organisation. Inefficiencies make a huge difference and are rarely solved at their root.

Below are some of the common challenges faced by organisations with
industrial operations.

Predictive Planning

Predictive Plans

  • Non-integrated plans lead to production loss and non-productive time.

  • Limited planning & modeling results in production loss and non-productive time.

Supply Chain Visibility

Supply Chain Visibility

  • Fragmented control affects the supply chain ecosystem.

  • Low visibility causes unreliable decisions.

Risk & Opportunity Management

Risk & Opportunity Management

  • Risk management often changes after an incident, resulting in greater inherent risk and higher operational costs.

  • Lost revenue and higher operational costs caused by inability to collect, rank and execute upon opportunities as they arise.

Workforce Effectiveness

Workforce Effectiveness

  • Stalled processes and rigid performance management thinking incur: a) costs for unnecessary work and b) costs of “shortcuts” caused by excessive production pressure.

  • Costs of downtime and quality assurance due to insufficient timeliness and quality of reports.

Hazardous work

Hazardous work

  • Lack of visibility of work in hazardous environments increases risk exposure and reduces ability to catch forewarning signals.

  • Near misses and incidents increase cost of auditing, lost personnel, medical and labor time.

Digital Overload

Digital Overload

  • Inability to determine value driven use-cases decreases agility and operating effectiveness.

  • Vendor solutions require large-scale implementation thereby resulting in higher cost, increased risk and time to value.

What Is ODIN?

ODIN (One-shore Digital Integrated Network) is our novel, and sensible approach to building-block digital processes. Proven through rigorous research, the ODIN methodology has been applied with amazing results.

This approach uses an integrated, open suite of industrial AI structures and solutions. This AI suite enables predictive planning, supply optimization, and work control effectiveness over the entire value chain.

New digital ecosystems require collaborative environments. Measurable progress in a digital world requires collaboration, customizable workflows, easy notifications, and effective user experiences that can be accessed anywhere.

The underlying advanced technologies of hybrid cloud, machine learning, the internet of things, AI calculation, and algorithm engines along with the ODIN approach to digital business excellence are what unearth value-driven use cases.

Oneshore Digital Integrated Network
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Some Sample use cases:

Predictive Planning

Predictive Planning

Supply Chain Optimization

Supply Chain Optimization

Workforce Control

Workforce Control

Demand, Supply, Capacity Forecasting

Demand, Supply, Capacity Forecasting

Fleet and Route Management

Fleet and Route Management

Work Scheduling Management

Work Scheduling Management

Production Forecasting

Production Forecasting

Material Movement

Material Movement

Smart Inspections

Smart Inspections

Complex Pricing

Complex Pricing

Warehouse Management

Warehouse Management

Safety Forewarnings and Alerting

Safety Forewarnings and Alerting

Scenario Planning

Scenario Planning

Logistics Services Management

Logistics Services Management

Risk Assessment and Work Control

Risk Assessment and Work Control

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