SSK 605

Industrial Process Operations & Optimization

This comprehensive five-day practical-oriented training program is designed to develop the operational, analytical, and improvement skills required to operate, monitor, and optimize industrial processes in manufacturing and process-industry environments.The course focuses on understanding process behavior, improving efficiency, reducing losses, stabilizing operations, and driving continuous improvement through performance monitoring, data analysis, and structured problem-solving. Participants will learn how to control processes effectively, interpret operational data, identify improvement opportunities, and implement sustainable optimization initiatives.

Duration: 2 days

Prerequisites: Basic understanding of industrial processes or production operationsExperience in manufacturing, process plants, or operations roles is preferredBasic familiarity with production data, KPIs, or process parameters is an advantage

Course objectives

Understand industrial process operations and performance drivers
Monitor and control process parameters effectively
Identify inefficiencies, losses, and process variability
Use KPIs to measure and improve process performance
Apply basic process optimization techniques
Perform structured problem-solving and root cause analysis
Implement continuous improvement initiatives
Improve process stability, efficiency, and throughput

Course content

Module 1 Industrial Process Fundamentals & Operational Control

Overview of industrial process operations
Types of processes:
Batch, continuous, and discrete
Process flow and value streams
Key process variables:
Flow, pressure, temperature, level, speed
Operating envelopes and standard operating conditions
Process documentation:
Process flow diagrams (PFDs)
Piping and instrumentation diagrams (P&IDs)
Operator roles and operational discipline

Module 2 Process Efficiency, Loss Identification & Waste Reduction

Definition of process efficiency and productivity
Process losses and constraints
Waste identification (Lean perspective):
Overproduction, waiting, defects, rework, energy loss
Bottleneck identification and throughput limitation
Variability and its impact on process performance
Basic energy efficiency concepts in processes

Module 3 Performance Monitoring, KPIs & Data Analysis

Role of performance monitoring in operations
Key process KPIs:
Throughput
Yield
Energy consumption
Quality indicators
Data collection methods and data integrity
Trend analysis and control charts (basic)
Deviation management and escalation procedures
Visual management for process performance

Module 4 Process Optimization & Problem-Solving Techniques

Introduction to process optimization concepts
Process capability and stability (basic concepts)
Root cause analysis tools:
5 Why analysis
Fishbone diagrams
Standardization and best operating practices
Change management and risk assessment
Cross-functional collaboration for optimization

Module 5 Continuous Improvement & Operational Excellence

Continuous improvement frameworks:
PDCA (Plan–Do–Check–Act)
Kaizen
Linking operations improvement to business goals
Sustaining process improvements
Documentation, standardization, and training
Operator engagement and performance culture
Review of successful industrial optimization case studies