Big Data Strategies for Maintenance

Introduction

To optimize the management of capital assets within an organization, leveraging maintenance information systems through advanced technologies such as Big Data analytics and the Internet of Things (IoT) is essential. These technologies facilitate equipment and machine connectivity via cloud-based CMS (Computerized Maintenance Management System), addressing industrial challenges effectively.

Employing IoT and Big Data technologies can significantly enhance preventive and predictive maintenance, life cycle analysis, and overall cost efficiency. This results in increased uptime and reduced operational and maintenance costs.

Objectives

At the end of the Big Data Strategy for Predictive Maintenance course, participants should be able to:

• Utilize cloud-based Big Data effectively to achieve cost savings through a structured approach.
• Implement a top-down strategy for cost minimization, scheduling, and advanced planning with support from the Maintenance and Operations teams.
• Foster adoption of cloud-based IoT and Big Data for maintenance scheduling through a high-level Integrated Action Plan.
• Improve strategy alignment across assets to minimize downtime, leveraging cloud-based IoT and Big Data.
• Clearly define each team member's role and responsibilities within the CMMS system and procedures.

Training Methods

• Workshops
• Case Studies
• Laboratory Sessions
• Simulations
• Discussions
• Guest Lectures

Course Outline

Unit 1: Maintenance Strategies Using Big Data

• Overview of Maintenance and Asset Management (ISO 55000/1/2)
• IoT and CMMS Management (ISO 27001 and ISO 14224)

Unit 2: Maintenance Strategies Using Cloud-based IoT and Big Data

• Predictive Maintenance (PdM)
• Condition-Based Maintenance (CBM)
• Reliability-Centered Maintenance (RCM) (ISO 55000/1)
• Work Management Process (ISO 9001)

Unit 3: Maintenance Program Management with IoT and Big Data

• Introduction to Maintenance Philosophy and the Role of Cloud IoT and Big Data
• Functions of Preventive and Predictive Maintenance Programs
• Cost Impact Analysis and Cost Reduction with Cloud IoT and Big Data
• Simplifying Maintenance Performance Evaluation with KPIs
• Proactive Maintenance through Object Code Assignment and Big Data Management (ISO 27001 and ISO 14224)

Unit 4: Big Data Approaches to Maintenance

• Life Cycle Costing with Big Data and ISO 14001
• Root Cause Failure Analysis with Big Data and ISO 9001
• Risk Management Concepts
• Maximizing Asset Utilization with IoT and Big Data
• Stakeholder Structure and Inspection Sheet Creation

Unit 5: Continuous Improvement with Big Data, IoT, and ISO Standards

• Inventory Planning with IoT and Big Data (e.g., spare parts requirements)
• Examples of Inspection Sheets
• Predicting Frequency Cycles with Cloud-based IoT and Big Data
• Enhancing and Assessing PPM (Preventive and Predictive Maintenance) through Cloud IoT and Big Data
• Determining Causes of Equipment Failure with Big Data and IoT
• Quality Management and Continuous Improvement (ISO 9000)