
Explore how automation and computer-based systems enable computer integrated manufacturing, linking design, planning, control, quality, and facilities, with mis and instant data evaluation guiding rapid adaptation.
Explore a typical computer integrated manufacturing framework, covering data management, raw materials, vendor parts, CAD/CAE, operations, inventory, purchasing, smart warehousing, inspection, packaging, shipping, CNC, and robotic assembly cells.
Classify manufacturing systems into continuous processing, batch processing, and custom or job shop, and examine how automation, instrumentation, and distributed systems shape production and the role of the batch system.
Compare three manufacturing systems, piece production (job shop), batch production, and continuous processing, across seven criteria, including primary motivation, part variety, and machine-tool flexibility.
Explore volume variety relationship in manufacturing systems, from fixed automation for high volume production to programmable automation for many varieties, guiding flexible automation and FMS at mid variety mid volume.
Learn about fixed (hard) automation, flexible automation, and programmable automation, and how production scale, cost, and 100% non-contact inspection shape automation choices.
Explore the product–process matrix and how product process flexibility aligns with volume, variety, and automation choices in production systems.
Explore the product-process matrix from low volume, high variety job shops to mass production, showing how specialization, fixed automation, and evolving process flexibility shape manufacturing systems.
Explore the product–process matrix and how automation levels—from conventional to NC and DNC, to flexible manufacturing systems—enhance process flexibility through tool magazines, fixtures, material handling, and coordinate measurement.
Explore the four-plane concept of manufacturing—planning (including scheduling), control, materials management, material flow, and shop-floor processes—and examine how automation and know-how shape these areas.
Adopt a total systems approach to cut 95% moving and waiting time by streamlining positioning, gauging, loading, and idle tasks; emphasize computer-assisted automation and the second and third shift.
Explore how product design and manufacturing systems interlink through CAD, CAE, CAPP, and CAM within CIM to optimize quality, cost, and throughput in a global, customer-driven market.
Align resources—people, technology, and processes—with corporate strategies to synchronize finance, sales, product, engineering, manufacturing, and HR toward value-driven design within the quality loop and cost considerations.
Examine 11 functions of production and manufacturing automation, from market research and specifications engineering to procurement, process planning and control, production, inspection, sales, packaging and storing, installation, maintenance, and disposal.
Explore how design leads manufacturing from 2d drafting to 3d and solid modeling, with CAD, CAM, and CAPP driving mesh generation and flexible manufacturing for a marketable product.
Explore how material handling systems integrate with production to automate material flow, storage, and transferring, reducing waiting time and work in process inventory versus manual loading and unloading.
Explore how robotics power modern manufacturing systems, tracing the term's 1921 origin in Rossum's Universal Robots by Karel Capek and its role in flexible manufacturing systems and assembly robots.
Traces the evolution of automation from 1950s mainframe planning and batch control to flexible manufacturing systems, highlighting PLC, CNC, DNC, robotics, AGVs, ASRS, and modular fixturing within FMS.
Explore the product life cycle from design to disposal, analyzing how design and manufacturing affect quality and lead time, and apply a systems approach to link production stages.
Learn design criteria for production systems, from conceptual design and simulation prototypes to physical prototyping, and assess total life cycle costing and the impact of automation.
Identify customer needs and translate them into a product brief, then convert it into an engineering specification and a design cost budget for manufacturability, producibility, and testability.
Explore manufacturing system components and the activities to run a production system, including process planning and evaluating producibility for manufacturability and quality of conformance.
Explore manufacturability and design for producibility to minimize manufacturing lead time while meeting specifications. See how process capability and an automated system align product design with manufacturing capabilities.
Develop the manufacturing strategy and automate process planning from design to production, detailing bill of materials, parts, sequences, material handling, workholding, machine tools, and process development, qualification, and verifications.
Lean manufacturing, a just-in-time approach from the Toyota production system, aims to eliminate seven wastes by minimizing inventory, material handling, setup time, lead time, and costs of labor and quality.
Develop a long-range manufacturing strategy that identifies future technologies, assesses adoption via automated systems, and guides product and process design, supplier partnerships, and make-or-buy decisions aligned with corporate objectives.
Coordinate production readiness and qualification within the manufacturing plan to prevent high rework, scrap, and missed schedules. Define tasks and critical paths to enable design-to-manufacture transition and environmental performance.
Identify and develop manufacturing and supplier processes, establishing a manufacturability program with design guidelines and qualification methods. Verify processes, prototypes, tolerances, costs, and quality; implement databases and an information system.
Assess design maturity and production readiness to determine the timing of design release to manufacturing, aiming for fully automated systems like fms while weighing technical and business risks.
Explore manufacturing methodologies and technologies to design flexible automated systems that handle multiple products and models, achieving manufacturability and producibility through quality of design and quality of conformance.
Explore manufacturing methodologies and technologies, from e-commerce and web purchasing to CAD/CAM and ERP, focusing on ergonomic interfaces, cellular and flexible manufacturing, and group technology prerequisites.
Explore electronic commerce and web purchasing, the paperless exchange of engineering and business information via email, EFT, and EDI, transforming procurement and PCB manufacturing through CAD data transfers.
Learn how cad and cae connect design and production through computer network environments, enabling continuous communication, evaluation of design alternatives, and data transfer for rapid problem solving across locations.
Apply computer aided process planning (CAPP) with group technology or a generative approach, choosing variant type or 100% automated options, and use a comprehensive manufacturing capability database.
Apply ergonomics and human factors engineering tools and techniques to the work system—human, processes, environment—focusing on interface design, safety, comfort, and convenience.
Explore material requirements planning (MRP), manufacturing resource planning (MRP II), and distribution requirement planning, culminating in enterprise resource planning (ERP) for integrated, real-time production control.
Explore just-in-time inventory control in manufacturing, aiming for zero inventory and minimal work in progress. Parts are ordered only when needed, with instant quality feedback to prevent line stoppages.
Group technology (GT) and the cellular manufacturing system (CMS) combine flow shop and batch production by using work cells to produce part families, enabling automation and reduced inventory.
Boost productivity and quality with automation and robotics through low labor costs and high repeatability. Start design for automation early with concurrent engineering and design for assembly, manufacturability, and maintainability.
Link suppliers as extended in-house capabilities, emphasizing partners, shared communication, and commitment to best in class and statistical quality control; optimize supplier count for capacity, quality, and pricing competition.
Assess the present industrial scenario, marketing knowledge, and market research before adopting industry 4.0 automation. Explore concurrent engineering, product development, sustainability, globalization, and continual innovation to optimize manufacturing under uncertainty.
Discover how innovative tools and approaches transform production systems through automation, new technologies, and processes, while balancing performance criteria like efficiency, quality, and profitability.
Explore the four phases of innovation—prosperity, recession, depression, and recovery. Assess how industry 4.0 adoption hinges on management support, collaboration, and developing the critical mass of expertise.
Industry 4.0 unites automation, data exchange, and cyber-physical systems with IoT and cloud computing. It enables intelligent networks that autonomously optimize the value chain across factory and supply chains.
Select an area to adopt Industry 4.0 and assess status. Choose improvement tools, techniques, and approaches with management and financial support; implement alternatives with benefits; establish periodic review and benchmarking.
Apply a systems approach for quality problem solving in automation, define problems, identify root and assignable causes, and implement remedial actions using online/offline methods and statistical process control.
Apply the systems approach to quality problem solving by defining the problem, identifying constraints and objectives, generating mathematical models, heuristics, or algorithms, selecting and implementing solutions, and pursuing continuous improvement.
Define the problem and constraints, generate and evaluate multiple solutions, select the most cost-effective option, implement with responsible teams, and monitor outcomes for continuous improvement.
Explore the quality loop and its 11 integrated functions, forming a closed loop from market identification to disposal, guided by quality standards for industrial products.
Trace the evolution of quality control from inspection to online real-time control, emphasizing defect reduction, quality assurance, design quality, and conformance.
Apply Taguchi quality improvement to achieve robust, low-cost products by controlling common causes, involving all staff, and using experimental design and statistical process control for prototype testing under varying conditions.
Management should lead to meet customer expectations for quality, cost, and performance, and implement a quality assurance system that replaces unit-by-unit inspection, enabling world-class manufacturing in manual and automated production.
Identify processes with prevalent quality problems, reduce unit-to-unit variability through measurement, control, and automation, and use experimental design to determine critical factors for continuous, standardized improvements.
Explore the production control framework by planning inputs, resources, methods, and bill of materials. Document the process, schedule, make or buy decisions, and monitor quality and flow time.
Master Production Systems, Manufacturing Automation and Industry 4.0
Build a structured understanding of manufacturing automation, production systems, Industry 4.0, CIM, robotics, flexible manufacturing systems, CAD/CAM, CAPP, MRP/ERP, JIT, material handling, process planning, manufacturing strategy, and production control.
This course is designed for learners who want to understand how modern manufacturing systems are structured, how automation fits different production environments, how manufacturing technologies work together, and how organizations progress from product and process design toward automated and integrated production.
You will explore the connection between product characteristics, process choices, manufacturing systems, automation, production planning, material handling, robotics, information systems, quality improvement, and Industry 4.0.
The course follows a practical manufacturing-system perspective:
Product Requirements → Manufacturing System → Process Design → Automation → Production Planning → Production Readiness → Control → Improvement
This framework helps you understand manufacturing automation not as an isolated technology, but as part of a complete production system.
Understand the CIM Framework
The course begins with an introduction to the CIM framework, establishing the foundation for understanding integrated manufacturing systems.
Modern manufacturing involves many connected activities. Product design, manufacturing processes, production planning, material handling, automation, information flow, and production control must work together as part of a coordinated system.
Understanding this overall framework provides the foundation for the topics that follow throughout the course.
Understand Different Types of Manufacturing Systems
Not every product should be manufactured using the same production system.
The course examines different types of manufacturing systems, compares manufacturing-system approaches, and explores how production characteristics influence automation decisions.
You will also examine the role of automation within manufacturing.
This creates an important manufacturing decision framework:
Product Characteristics → Production Requirements → Manufacturing System → Automation Approach
Understanding this relationship is critical because automation should support the characteristics and objectives of the production environment.
Analyze the Product-Process Matrix
The course introduces the Product-Process Matrix as an important way of connecting product characteristics with manufacturing-process choices.
You will examine:
The Product-Process Matrix
Product-Process Matrix diagrams
The relationship between products and processes
Manufacturing flexibility concepts
The Four-Plane Concept of Manufacturing
These concepts help build a system-level understanding of how production configurations relate to the type of products being manufactured.
Manufacturing decisions can therefore be viewed through the relationship:
Product Characteristics → Process Selection → Manufacturing Configuration → Flexibility
This perspective becomes increasingly important when evaluating manufacturing automation.
Connect Product Design with Manufacturing Systems
Effective manufacturing begins before production starts.
The course explores the relationship between product design and manufacturing systems, including the functions involved in connecting design with production.
Product design decisions influence manufacturing requirements, process choices, production-system configuration, and the way automation can ultimately be implemented.
A useful operating model is:
Product Design → Manufacturing Requirements → Process Selection → Production System
Understanding these relationships helps learners view manufacturing as an integrated system rather than as a collection of independent machines or activities.
Explore Production-System Design
The course develops further into the definitions and design criteria for production systems.
You will examine topics including:
Design and manufacturing
Material-handling systems
Robotics
Flexible Manufacturing Systems
Production-system definitions
Production-system design criteria
Material handling is an important part of manufacturing because production depends not only on processing products but also on moving materials through the manufacturing system.
Robotics introduces automation into physical manufacturing activities.
Flexible Manufacturing Systems (FMS) demonstrate how manufacturing environments can be designed to support changing production requirements while maintaining a structured automated system.
Together, these concepts provide a broader understanding of production-system design.
Understand Manufacturing System Components and Strategy
Manufacturing automation becomes more meaningful when viewed as part of a complete manufacturing system.
The course examines manufacturing system components and then connects those components with manufacturing strategy.
You will study:
Manufacturing system components
Manufacturing strategy
Manufacturing or process planning
Process development
Design release
Production readiness
This part of the course shows how production develops from planning toward actual manufacturing readiness.
A useful manufacturing workflow is:
Strategy → Process Planning → Process Development → Design Release → Production Readiness → Production
This progression highlights the importance of preparation before a product or process enters production.
Build Manufacturing and Process Planning Knowledge
Manufacturing systems require decisions about how products will actually be produced.
The course covers manufacturing or process planning, helping you understand the connection between design requirements and production execution.
Process development then focuses attention on preparing the manufacturing process itself.
Finally, design release and production readiness connect product and process development with the transition into production.
This provides a practical production-management perspective:
Design → Plan the Process → Develop the Process → Confirm Readiness → Begin Production
Explore Manufacturing Technologies and Methodologies
The course introduces a range of manufacturing methodologies and technologies used within modern production environments.
These include:
Electronic commerce and web purchasing
CAD/CAM
Computer-Aided Process Planning (CAPP)
Ergonomics and Human Factors Engineering
MRP/ERP
Inventory control
Just in Time (JIT)
Group Technology
Cellular Manufacturing
Automation and robotics
Supplier partnerships
Supply chain concepts
Together, these topics demonstrate that modern manufacturing is not based on one technology.
Instead, manufacturing performance depends on the coordination of product design, process planning, automation, materials, information, people, suppliers, and production systems.
Understand CAD/CAM and CAPP
The course introduces CAD/CAM as part of the connection between product design and manufacturing.
It also covers Computer-Aided Process Planning (CAPP), extending this relationship into process-planning activities.
Together, these concepts show how manufacturing can become increasingly integrated:
Design Information → Manufacturing Planning → Process Planning → Production
This integration is central to the broader manufacturing-automation perspective developed throughout the course.
Understand Human Factors in Manufacturing
Automation does not eliminate the importance of people.
The curriculum includes Ergonomics and Human Factors Engineering, helping learners recognize the role of human considerations within manufacturing-system design.
Manufacturing systems combine technologies, processes, machines, materials, information, and people.
Understanding human factors therefore contributes to a more complete view of manufacturing-system performance.
Understand MRP, ERP, Inventory Control and JIT
Modern production also requires effective planning and control of resources and materials.
The course introduces MRP and ERP and connects these concepts with inventory-control approaches.
You will also study Just in Time (JIT) as part of the broader manufacturing environment.
These topics help connect manufacturing automation with the planning and coordination required to support production.
A useful perspective is:
Production Requirements → Resource Planning → Inventory Control → Material Availability → Production
Explore Group Technology and Cellular Manufacturing
The curriculum also introduces Group Technology (GT) and Cellular Manufacturing.
These concepts demonstrate different ways of organizing manufacturing activities and production resources.
They complement the earlier discussion of manufacturing systems, flexibility, production design, and automation by showing how manufacturing environments can be structured around production needs.
Understand Automation and Robotics
Automation and robotics form an important part of the course.
Rather than presenting automation in isolation, the curriculum places it within the broader manufacturing environment that includes product design, production-system criteria, material handling, flexible manufacturing systems, process planning, and production strategy.
This allows automation to be understood through a systems perspective:
Production Need → Process → Automation → Integration → Control
Automation becomes valuable when it supports the requirements of the manufacturing system.
Connect Suppliers and the Supply Chain with Manufacturing
Production performance also depends on activities outside the immediate manufacturing facility.
The course includes supplier partnerships and supply chain concepts, emphasizing the connection between manufacturing operations and the broader network supporting production.
This expands the manufacturing-system perspective from internal production activities toward the flow of resources and relationships required to support manufacturing.
Understand Innovation in Manufacturing
Modern manufacturing continues to evolve.
The course examines the present industrial scenario, innovation, and the phases of innovation before progressing into Industry 4.0.
Innovation provides an important bridge between established manufacturing practices and emerging approaches to industrial production.
You will examine innovation as a process rather than only as an outcome.
Build an Industry 4.0 Foundation
A major part of the course explores Industry 4.0.
You will study what Industry 4.0 means within the context of manufacturing and examine a research project focused on adopting Industry 4.0.
The Industry 4.0 content is supported by earlier topics such as automation, robotics, CAD/CAM, CAPP, MRP/ERP, flexible manufacturing systems, process planning, supplier relationships, and manufacturing-system integration.
This creates a logical progression:
Traditional Manufacturing → Integrated Manufacturing → Automation → Digital Manufacturing Technologies → Industry 4.0
Apply a Systems Approach to Quality Problem Solving
Manufacturing automation must ultimately support reliable and controlled production.
The course therefore introduces a systems approach for quality problem solving.
You will examine a six-step methodology and the quality loop, creating a structured way of thinking about production problems and improvement.
A useful problem-solving model is:
Identify Problem → Understand the System → Analyze the Process → Develop Action → Implement → Review Results
This reinforces the idea that manufacturing problems should be approached systematically rather than through isolated corrective actions.
Understand Quality Improvement Principles
The course continues with quality improvement principles and the main actions involved in quality improvement.
These concepts connect production-system design with ongoing improvement.
Quality improvement becomes part of the manufacturing framework:
Observe Performance → Identify Improvement Need → Analyze → Act → Control → Improve
The curriculum also connects quality improvement with product design and production-control concepts.
Understand Automated Production-System Frameworks
The final part of the course develops an automated production system framework.
This section connects quality improvement principles, product-design considerations, and production control.
By this stage, the major concepts introduced throughout the course can be viewed as one integrated manufacturing system:
Product → Process → Manufacturing System → Automation → Planning → Production → Control → Improvement
This is the central perspective of the course.
What You Will Learn
By completing this course, you will be able to:
Understand the CIM framework
Explain major types of manufacturing systems
Compare manufacturing-system approaches
Understand how production characteristics relate to automation
Explain the role of automation in manufacturing
Understand the Product-Process Matrix
Interpret the relationship between products and manufacturing processes
Understand manufacturing flexibility concepts
Explain the Four-Plane Concept of Manufacturing
Understand the relationship between product design and manufacturing systems
Explain important production-system design considerations
Understand material-handling systems
Understand the role of robotics in manufacturing
Explain Flexible Manufacturing Systems
Identify major manufacturing-system components
Understand manufacturing strategy
Explain manufacturing and process planning
Understand process development
Understand design release and production readiness
Recognize important manufacturing methodologies and technologies
Understand CAD/CAM
Understand Computer-Aided Process Planning
Explain the relevance of ergonomics and human factors engineering
Understand MRP and ERP concepts presented in the course
Understand inventory control and Just in Time
Understand Group Technology and Cellular Manufacturing
Explain the role of automation and robotics
Understand supplier partnerships and supply chain concepts
Examine the present industrial scenario
Understand innovation and its phases
Explain the foundations of Industry 4.0
Examine an approach to Industry 4.0 adoption
Understand a systems approach to quality problem solving
Apply the six-step problem-solving methodology presented in the course
Understand the quality loop
Explain quality improvement principles
Understand production-control frameworks
Connect manufacturing automation with broader production-system design
How the Course Concepts Connect
The course develops manufacturing automation through a complete systems perspective.
You begin with the CIM framework and manufacturing-system types.
You then examine product-process relationships, flexibility, product design, production-system criteria, material handling, robotics, and Flexible Manufacturing Systems.
The course progresses into manufacturing-system components, manufacturing strategy, process planning, process development, design release, and production readiness.
You then explore CAD/CAM, CAPP, MRP/ERP, JIT, Group Technology, Cellular Manufacturing, automation, robotics, suppliers, supply chains, innovation, and Industry 4.0.
Finally, quality problem solving, quality improvement, and production-control concepts bring the manufacturing system together.
The complete learning model is:
Product → Process → System → Automation → Planning → Integration → Production → Control → Improvement
Who Should Take This Course?
This course is suitable for:
Manufacturing professionals
Production professionals
Mechanical engineers
Manufacturing engineers
Production engineers
Industrial engineering learners
Operations professionals
Production supervisors
Manufacturing managers
Process-planning professionals
Professionals working with manufacturing systems
Learners interested in manufacturing automation
Learners interested in robotics and flexible manufacturing systems
Professionals seeking foundational knowledge of CAD/CAM and CAPP
Learners interested in MRP, ERP, inventory control, and JIT
Professionals interested in Industry 4.0
Students studying production and manufacturing
Learners who want to understand how modern manufacturing technologies fit together
Anyone seeking a structured understanding of automated production systems
Build a Complete Manufacturing Automation Mindset
Manufacturing automation is not simply about replacing manual work with machines.
Effective automation requires understanding the product, selecting the appropriate manufacturing process, designing the production system, integrating material handling and robotics, planning the manufacturing process, preparing production, coordinating resources, controlling operations, and continuously improving performance.
The course therefore develops a broader manufacturing mindset:
Understand the Product → Design the Process → Build the System → Apply Automation → Plan Production → Integrate Technologies → Control Operations → Improve Performance
This systems perspective helps connect individual manufacturing technologies with the larger objective of effective production.