Subject Overview

Industrial Management integrates management principles with manufacturing and machine-based operations. The subject covers organizational systems, productivity, production planning, quality, maintenance, supply chains, workforce management, finance, analytics, digital technologies, sustainability and industrial strategy.

Learning Goal

Students will be able to plan, organize, analyze and improve industrial operations; make evidence-based managerial decisions; manage people, assets, quality, cost, safety and supply networks; and apply contemporary digital, AI, ethical and sustainable management practices.

Syllabus

1. Foundations of Industrial Management

Learning Objective: Explain the scope, terminology and evolution of industrial management; scientific, administrative, behavioral, systems and contingency theories; managerial functions; productivity; and the role of industry in economic development.

Category: foundation

2. Industrial Organization, Leadership and Communication

Learning Objective: Apply organizational structures, authority, delegation, coordination, span of control, motivation theories, leadership styles, teamwork, communication, conflict resolution and change-management principles in industrial enterprises.

Category: foundation

3. Operations Strategy and Production Systems

Learning Objective: Relate competitive priorities to product–process design, manufacturing system selection, job, batch, mass and continuous production, capacity planning, process mapping, technology choice, product life cycle and make-or-buy decisions.

Category: core

4. Plant Location, Facility Layout and Material Handling

Learning Objective: Evaluate plant-location factors and design process, product, cellular and fixed-position layouts using flow analysis, relationship charts, line balancing, material-handling principles, warehousing and workplace-design requirements.

Category: application

5. Work Study, Ergonomics and Productivity Improvement

Learning Objective: Conduct method study, process charting, motion economy, time study, work sampling, standard-time determination and productivity measurement while incorporating ergonomics, human factors and continuous improvement.

Category: core

6. Production Planning, Scheduling and Lean Operations

Learning Objective: Apply forecasting, aggregate planning, master production scheduling, MRP, capacity requirements planning, loading, sequencing, dispatching and control; use JIT, Kanban, 5S, Kaizen, value-stream mapping and Theory of Constraints.

Category: core

7. Quality Management and Process Excellence

Learning Objective: Use quality planning, assurance and control; inspection and sampling; seven quality tools; statistical process control, process capability, TQM, ISO 9001, Six Sigma, DMAIC, benchmarking, cost of quality and root-cause analysis.

Category: core

8. Maintenance, Reliability and Asset Management

Learning Objective: Compare corrective, preventive, predictive and condition-based maintenance; calculate reliability and availability measures; apply TPM, OEE, failure analysis, FMEA, replacement policies, spare-parts planning and computerized maintenance management.

Category: application

9. Inventory, Procurement and Supply Chain Management

Learning Objective: Apply inventory classification, EOQ, reorder-point and safety-stock models; manage sourcing, supplier evaluation, contracts, logistics, warehousing and distribution; and assess supply-chain resilience, traceability and risk.

Category: core

10. Human Resources, Industrial Relations and Occupational Safety

Learning Objective: Manage workforce planning, recruitment, training, performance, compensation, labor relations, employee welfare and diversity; apply occupational health and safety systems, hazard analysis, risk controls, safety culture and relevant labor responsibilities.

Category: core

11. Industrial Economics, Costing and Financial Control

Learning Objective: Interpret fixed, variable and life-cycle costs; perform cost estimation, budgeting, standard costing, variance analysis, break-even analysis, contribution analysis, depreciation and capital-investment appraisal for managerial control.

Category: application

12. Project and Engineering Management

Learning Objective: Plan and control industrial projects using work breakdown structures, Gantt charts, CPM, PERT, resource allocation, earned-value management, risk registers, stakeholder management, contracting and project closeout.

Category: application

13. Operations Research, Analytics and Decision-Making

Learning Objective: Formulate managerial problems using linear programming, transportation, assignment, queuing, simulation and decision-tree models; apply descriptive, predictive and prescriptive analytics under certainty, risk and uncertainty.

Category: advanced

14. Digital Industrial Management and Artificial Intelligence

Learning Objective: Evaluate ERP, MES, SCM, CMMS, industrial IoT, cyber-physical systems, digital twins, robotics, cloud and edge computing; apply AI to forecasting, inspection, scheduling and predictive maintenance while addressing cybersecurity, data quality and governance.

Category: contemporary

15. Industrial Strategy, Sustainability, Ethics and Future Trends

Learning Objective: Integrate SWOT, PESTLE, value-chain and balanced-scorecard analysis with innovation management, circular economy, energy efficiency, ESG, environmental management, corporate governance and professional ethics; assess smart factories, autonomous operations and workforce transformation.

Category: strategic