The connection between IT and manufacturing is fundamental in these industries. The course work will give candidates the methods, techniques, and standards to design an integrated manufacturing strategy. This means using 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 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 lifecycle of the manufacturing enterprise, from raw materials to production. The manufacturing/engineering courses are selected to give the candidate an understanding of the full lifecycle 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 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.
GIIM will work with you to derive the appropriate focus & content for the courses within this certificate, based on the backgrounds and objectives of the candidates. These courses address how the digital transformation and emerging information technologies enables/drives innovation, especially by leveraging technology to gain competitive advantage.
The template of the four courses for this certificate are:
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.
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.
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.
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.
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