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Chapter 41: Automated Material Handling and Identification (eChapter) from Fundamentals of Manufacturing, 2nd Edition Image

Chapter 41: Automated Material Handling and Identification (eChapter) from Fundamentals of Manufacturing, 2nd Edition


Author(s)/Editor(s): Philip D Rufe
Published By: Society of Manufacturing Engineers

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Material handling equipment can move either unit loads or bulk loads. This chapter will focus on the unit load. Two very common forms of automated material handling systems are automated guided vehicle systems and automated storage and retrieval systems. They are capable of moving material required for push or pull manufacturing and providing data needed for manufacturing management. Automated guided vehicle (AGV) systems are divided into four different configurations: train, forklift, unit load, and assembly. Automated storage and retrieval systems (AS/RS) have evolved from their initial application of warehousing raw materials to storing work-in-process or assemble-to-order inventory, finished product inventory, and tool and fixture inventory. AS/RS are classed by the size of the unit load: micro load, mini load, or unit load. Automatic identification improves both the accuracy (quality) and speed (production efficiency) of data entry for inventory, work-in-process, and final products. Bar code, radio-frequency data transmission, radiofrequency identification, magnetic stripe, voice recognition, and machine vision are the common forms of automatic identification used on the manufacturing floor. Voice recognition systems operate by either dictation or command and control. Typical industrial applications of machine vision include inspection, identification, and machine guidance.


Published: 2005-04-01
Product ID: BK01PUB13_E_CH-41
ISBN: 978-1-62104-002-6

Chapter 47: Engineering Economics (eChapter)
Chapter 46: Labor, Safety, and Human Factors (eChapter)
Chapter 45: Management Introduction (eChapter)
Chapter 44: Dimensional Metrology (eChapter)
Chapter 43: Statistical Methods for Quality Control (eChapter)
Chapter 42: Quality Assurance (eChapter)
Chapter 40: Robotics (eChapter)
Chapter 39: Programmable Logic Controllers (eChapter)
Chapter 38: Computer Numerical Control Machining (eChapter)
Chapter 37: Manufacturing Networks (eChapter)
Chapter 36: Materials Management (eChapter)
Chapter 35: Materials Management (eChapter)
Chapter 34: Process Engineering (eChapter)
Chapter 33: Lean Production (eChapter)
Chapter 32: Traditional Production Planning and Control (eChapter)
Chapter 31: Printed Circuit Board Manufacturing and Assembly (eChapter)
Chapter 30: Ceramic Processing (eChapter)
Chapter 29: Composite Processing (eChapter)
Chapter 28: Plastics Processes (eChapter)
Chapter 27: Finishing (eChapter)
Chapter 26: Welding/Joining (eChapter)
Chapter 25: Casting (eChapter)
Chapter 24: Powdered Metals (eChapter)
Chapter 23: Sheet Metalworking (eChapter)
Chapter 22: Metal Forming (eChapter)
Chapter 21: Machining (eChapter)
Chapter 20: Cutting Tool Technology (eChapter)
Chapter 19: Product Design Tools (eChapter)
Chapter 18: Computer-aided Design (eChapter)
Chapter 17: Geometric Dimensioning and Tolerancing (eChapter)
Chapter 16: Engineering Drawing (eChapter)
Chapter 15: Ceramics (eChapter)
Chapter 14: Composites (eChapter)
Chapter 13: Plastics (eChapter)
Chapter 12: Metals (eChapter)
Chapter 11: Material Properties (eChapter)
Chapter 10: Fluid Power (eChapter)
Chapter 9: Thermodynamics and Heat Transfer (eChapter)
Chapter 8: Strength of Materials (eChapter)
Chapter 7: Dynamics (eChapter)
Chapter 6: Statics (eChapter)
Chapter 5: Electricity/Electronics (eChapter)
Chapter 4: Sound (eChapter)
Chapter 3: Light (eChapter)
Chapter 2: Units of Measure (eChapter)
Chapter 1: Mathematics (eChapter)
Fundamentals of Manufacturing, 2nd Edition (eBook)
Fundamentals of Manufacturing, 2nd Edition