The integration of IT and manufacturing / engineering has become essential. The courses in this certificate will provide candidates (IT and non-IT, professionals and executives) with the tools methods, techniques, and standards to derive strategies and plans to leverage current and emerging information technologies. The focus will be on leveraging IT to enhance manufacturing/ engineering practices and processes, to research and to develop tools, processes, machines and equipment, and to integrate the facilities and systems for producing quality products with the optimum expenditure of capital; to design and develop an integrated manufacturing / engineering strategy. This means applying IT to integrate a layered, heterogeneous network of different nodes, from the shop floor to business systems (e.g., purchasing and inventory management), and the overall strategy of the organization.
The IT in manufacturing/engineering certificate builds analytical, modeling, and design skills necessary to understand how to leverage IT in manufacturing and engineering organizations. The core business and information systems direction is complemented with a study of the full life-cycle of the manufacturing/engineering enterprise, from product design to product delivery. The manufacturing/engineering courses are selected to give the candidate an understanding of the full life-cycle of the manufacturing enterprise, from raw material to production as the industry transforms and regulations evolve especially in light of emerging information technologies (e.g., blockchain, AI, robotics, social media, cognitive computing, analytics, big data). The courses cover modeling, simulation, design, product design, and production systems.
Understanding emerging information technologies and their impact on the manufacturing and engineering industry, and the roles and responsibilities of IT and non-IT stakeholders in leveraging these emerging technologies in light of the digital transformation, will be at the heart of all of the courses.
This course emphasizes the development of modeling and simulation concepts and analysis skills necessary to design, program, implement and use computers to solve complex systems/products analysis problems. The key emphasis is on problem formulation, model building, data analysis, solution techniques and evaluation of alternative designs/processes in complex systems/products. Overview of modeling techniques and methods used in decision analysis, including multi-attribute utility models, decision trees and optimization methods are discussed.
2. Computer Integrated Design and Manufacturing
Fundamentals of Computer-Integrated Design and Manufacturing addresses design and manufacturing as a global closed-loop system comprising four major functions: marketing, part design, process specifications and production. The emphasis of this course is on the computer integration of the islands of automation created by isolated computerized systems within these major functions in an enterprise.
3. Design of Production Systems
Introduction to the design and control of production systems using mathematical, computational and other modern techniques. Topics that will be investigated include forecasting, inventory systems, aggregate production planning, material requirements planning, project planning, job sequencing, operations scheduling and reliability, robotics, in addition to capacity, flexibility and economic analysis of flexible manufacturing systems, and the adherence to changes in regulations.
4. Advanced Product Development
This course addresses methodologies and tools to define product development phases and also provides experience working in teams to design high-quality competitive products. Primary goals are to improve ability to reason about design, material and process alternatives and apply modeling techniques appropriate for different development phases, as well as development of competitive product design and plans for its manufacture along with facilities layout simulation, testing and service. Topics covered are: user requirements gathering, quality function deployment (QFD), design for assembly, design for materials and manufacturing processes, optimizing the design for cost and producibility, manufacturing process specifications and planning, process control and optimization, SPC and six sigma process, tolerance analysis, flexible manufacturing, product testing, rapid prototyping, and the use of robotics.