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Optimized Factory + Logistics

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Presentation on theme: "Optimized Factory + Logistics"— Presentation transcript:

1 Optimized Factory + Logistics
Hitachi Consulting Optimized Factory + Logistics

2 Oil Field Logistics

3 Optimized Factory | Core Offerings
Digital Strategy Connected Factory Predictive Maintenance Advanced Process Control Dynamic Scheduling Predictive Quality Factory Utilities Management Real-time Supply Chain Optimization Connected Field Service Connected Workforce Health, Safety and Environment The ‘Industry 4.0’ revolution provides immense opportunity for next level of operational improvements across organizations. Our intent is to partner with Clients through this journey and ‘co-create’ meaningful solutions for addressing business challenges.

4 Problem Statement Asset Monitoring & PdM
Stated Problem Business Opportunity Defective tank monitoring equipment ↑ OEE (5-20%) ↑ Asset Availability (5-50%) ↓ Cost per Unit (5-10%) Monitoring pumps and valves that support Many well sites lack real-time visibility to tank volumes (raw water, treatment chemicals and waste water) and tank condition OEE: Overall Equipment Effectiveness LNG: Liquid Natural Gas

5 Problem Statement Logistics & Transportation
Stated Problem Business Opportunity Predicting demand for either filling or emptying tanks ↑ OEE (5-20%) ↑ Asset Availability (5-50%) ↑ Labor Productivity (5-15%) Schedule Accuracy (for drivers) ↓ Cost per Unit (5-10%) ↓ Transportation Costs (5-10%) Demand Forecasting (for short cycle times) ↓ Cycle times (5-10%) OEE: Overall Equipment Effectiveness

6 Hitachi’s Solution Use currently available technology to:
Continuously monitor: Well site tanks for waste water levels Fracking material quantities including water, sand, and proppants Product temperature with alerts for out-of-range events Sensor and tank events for maintenance issues and alerts Understand usage statistics and forecast consumption Predict volume levels 3 – 5 days (or longer) in advance Build orders (locations, dates, times and quantities) for tank servicing based on predicted volumes Plan orders to minimize transportation costs - without sacrificing service quality

7 Optimized Factory + Logistics
Real-time Supply Chain Optimization Predictive Maintenance Oracle Integration Cloud Services Oracle Java Cloud Services Sensor Oracle Financials Cloud Oracle Cloud Planning Central Oracle Order Management Cloud Oracle Logistics Cloud Oracle IoT Cloud Gateway Customer provided mobile onboard devices Oracle BI Cloud

8 Hitachi IoT Lab Demo Talking points in the demo Asset Monitoring /PdM
Stated Problem Business Opportunity Hitachi Solution Approach for POC Predicting demand for either filling or emptying tanks ↑ OEE (5-20%) ↑ Asset Availability (5-50%) ↑ Labor Productivity (5-15%) Install sensors to monitor tank levels Use historic data (IT and OT data blended together) to build a dataset that can be used to model machine learning algorithms Predictive analytics built for fill/empty demand Operationalize the insights Visualizing the tank in real-time Schedule Accuracy (for drivers) ↓ Cost per Unit (5-10%) ↓ Transportation Costs (5-10%) Using historic enterprise data and telemetry data blended to build a dataset used to model machine learning algorithms Using a data driven approach to build out predictive scheduling models and operating envelopes Operationalize the insights (integrate with ERP system) Demand Forecasting (for short cycle times) ↓ Cycle times (5-10%) Using historic enterprise data to model machine learning algorithms Using a data driven approach to build out predictive demand models and operating envelopes Logistics and Transportation

9 Hitachi Solutions – Oracle IoT Applications
Hitachi’s Solutions are enabled by Oracle IoT Applications Hitachi provides the following: End to end solutions Services to extend Oracle IoT Applications so that it includes ALL components of Hitachi’s solution core Equipment (sensors, cameras, etc.) and installation IoT Expertise: 16,000+ IoT experts 2,600+ researchers and data scientists $3.5 billion IoT related R&D

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