Diploma in Engineering (Operations and Engineering Management)

Decision and Cost Analysis

This module introduces the basics of decision and cost analysis. Topics on decision making under risk and uncertainty, and tools like decision trees, trade-off analysis and utility functions will be taught. It introduces various approaches towards the selection of equipment and materials for cost-effective operations, as well as performing analyses of system costs over the life cycles of products and services.

Project Management

This module covers basic concepts in project management. Topics include project planning, project scheduling, cost estimation and budgeting, resource allocation, monitoring and control, and risk measurement and management.

Life Cycle Management

This module introduces the process of managing the system life cycle from acquisition/development to operations and support. Methodologies and decision processes for arriving at cost-effective system solutions will be covered. It covers needs analysis, quality function deployment, reliability engineering, maintainability engineering, logistics, and supportability engineering.

Warehousing and Distribution

This module imparts a fundamental understanding of warehousing and distribution management in industry today. It covers storage and retrieval systems, labour and equipment requirements, planning of distribution centres, security and safety in distribution, vehicle selection, as well as import and export procedures.

Inventory Management

This module covers principles and practical knowledge required to plan and control inventories of goods and materials. Topics include the role and importance of carrying inventories, inventory classifications, planning and control, and a study of the costs of inventory.

Global Logistics Management

This module covers the principles of efficient and effective management of logistics in international business. It examines different aspects of logistics, including purchasing and reverse logistics, as well as global logistics trends and security challenges. Optimisation models for logistics decision-making and supply chain design will also be introduced.

Operations Research and Simulation

This module introduces fundamental concepts of operations research, such as linear programming, network analysis, queuing theory, forecasting and time series analysis, inventory control, and maintenance and replacement to solve production planning and engineering management problems. The use of simulation will be taught to solve complex problems.

Green Manufacturing and Planning

This module provides an understanding of the concepts of capacity planning and production planning. Topics include master production scheduling, materials requirement planning, capacity planning and production activity control. Calculation of carbon footprint, as well as sustainable practices in manufacturing, will be introduced.

Facilities Planning and Design

This module introduces the key concepts of facility planning and design, which facilitate synchronous material flow, reduce material handling and movement, and maximise the use of floor space. It covers the requirements of plant site location selection, plant and office layouts, basic facility services, as well as the selection of machines and labour.

Productivity and Work Study

This module covers methods to measure and analyse the work content of a job to improve productivity. Work measurement methods such as time study, activity sampling methods, and methods analysis will be introduced. It also covers measurements of productivity and methods to improve productivity.

Lean Six Sigma Methods

This module introduces the fundamental concepts of lean manufacturing and Six Sigma. It covers the understanding of lean manufacturing in the area of waste elimination, value stream management, and the tools and methods for improving process flow.

Human Factors Engineering

This module introduces concepts in human factors engineering and ergonomics that support human activity in the workplace. It covers human factors and systems, visual and auditory displays, human output and control, anthropometry, workplace design and the effect of environmental conditions - noise, climate and illumination in a workforce.

Statistical Methods in Quality

This module focuses on the analysis of data, as well as the applications of statistics in quality studies. It covers estimates of mean and variance, sampling distributions, hypothesis testing, confidence intervals, variance tests and factorial experiments.

Quality Control

This module focuses on the use of statistical methods for quality control and improvement. It covers basic quality control tools and techniques, including Statistical Process Control, Process Capability Analysis, Measurement System Analysis, Design of Experiments and Acceptance Sampling.

Quality Management

This module covers productivity and quality management-related issues such as the development of Quality Systems, TQM, PDCA, Quality Circles, Singapore Quality Awards, 5S Housekeeping and the ISO9000 Quality Management System.