3024-Chap1 - 1. INTRODUCTION INTRODUCTION 1.1 Data...

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INTRODUCTION 1.1 Data Management and Industrial Engineering 1. Industrial Engineering (IE) – the broadest engineering iscipline discipline. IEs in almost every sector of the economy: • Manufacturing sector - utomotive, electronics, etc. • Service sector staurant chains hotels etc automotive, electronics, etc. 2010 John P. Shewchuk ISE 3024 Course Notes Introduction – 1 - restaurant chains, hotels, etc.
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inancial sector anks financial • Financial sector banks, financial companies (e.g., Cap One) • Healthcare - hospitals, nursing homes, etc. • Government commerce, defense, etc. ransportation/Distribution • Transportation/Distribution - trucking firms, distribution centers, etc. • Entertainment amusement parks, video games, tc 2010 John P. Shewchuk ISE 3024 Course Notes Introduction – 2 etc.
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egardless of what area an IE works in or his/her exact Regardless of what area an IE works in or his/her exact job description, it is almost certain to involve data management. ATA MANAGEMENT - the process of identifying what types of data are of interest, developing suitable methods for acquiring, DATA MANAGEMENT storing, and using this data, and implementing such methods in practice. 2010 John P. Shewchuk ISE 3024 Course Notes Introduction – 3
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hat types of data are of interest to IEs? What types of data are of interest to IEs? • Production data •C o s t data • Capacity data • Human (Employee) data • Sales/Marketing data + others. 2010 John P. Shewchuk ISE 3024 Course Notes Introduction – 4
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hat do IEs typically use data for? What do IEs typically use data for? • Problem solving - layout, scheduling, inventory control, tc • Decision making - choosing between alternatives g make vs buy) etc. • Operations (e.g., make vs. buy) - data needed to run facility • Location and Tracking • Recordkeeping and Reporting others 2010 John P. Shewchuk ISE 3024 Course Notes Introduction – 5 + others.
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hatever IE area we work in and particular need we Whatever IE area we work in and particular need we have for data, we must be sure we’ve designed an appropriate data management application . What things must we consider in developing a data management application? •Types of data (e.g., numeric, text, pictures) • Volume of data (e.g., 100 data items vs. 100,000,000). • Frequency with which accessed (e.g., hourly vs. monthly). 2010 John P. Shewchuk ISE 3024 Course Notes Introduction – 6
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ype of data ccess • Type of data access - Simple record storage/retrieval? r ueries o? Or queries too? • Who needs access and where . • Data integrity requirements (low vs. high). • Data storage requirements (e.g., weeks vs. decades). • Data security requirements (how critical)? 2010 John P. Shewchuk ISE 3024 Course Notes Introduction – 7
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dditional considerations: Additional considerations: • Designing data management system - How difficult?
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3024-Chap1 - 1. INTRODUCTION INTRODUCTION 1.1 Data...

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