Industrial engineering
Practicing engineers

Traditionally, a major aspect of industrial engineering was planning the layouts of factories and designing assembly lines and other manufacturing paradigms. And now, in lean manufacturing systems, industrial engineers work to eliminate wastes of time, money, materials, energy, and other resources.

Examples of where industrial engineering might be used include flow process charting, process mapping, designing an assembly workstation, strategizing for various operational logistics, consulting as an efficiency expert, developing a new financial algorithm or loan system for a bank, streamlining operation and emergency room location or usage in a hospital, planning complex distribution schemes for materials or products (referred to as supply-chain management), and shortening lines (or queues) at a bank, hospital, or a theme park.

Modern industrial engineers typically use predetermined motion time systems, computer simulation (especially discrete event simulation), along with extensive mathematical tools for modeling, such as mathematical optimization and queueing theory, and computational methods for system analysis, evaluation, and optimization. Industrial engineers also use the tools of data science and machine learning in their work owing to the strong relatedness of these disciplines with the field and the similar technical background required of industrial engineers (including a strong foundation in probability theory, linear algebra, and statistics, as well as having coding skills).
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