Progress in Materials Handling and Logistics, Volume 1Material handling and logistics have become especially important to industrialists because of the competitive advantage that results from using the right methods to provide the right amount of the right material at the right place, at the right time, in the right condition, in the right sequence, in the right orientation, and at the right cost. But, what are the right methods? The emergence of sophisticated control systems, coupled with advances in hardware design, has resulted in a wide variety oftechno logical alternatives availablefor practically any application. Yet, with the emergence of just-in-time methods and the apparent success of the firms that have relied on the use of people and" simple" rules, rather than technology, the proper role of hardware and software in material handling and logistics is open to debate. Despite all that has been accomplished to date, the design of material handling and logistics systems remains an art as well as a science. Regardless of whether it is people, conveyors, lift trucks, robots, guided vehicles, laser scanners, storage/retrieval machines, carousels, voice encoding, machine vision, automatic palletizers, or other methods that are appropriate, selecting the right methods for moving, storing, and controlling material is vital. It is important that the selection decision be made after consideration is given to the requirements for amount, material, place, time, condition, sequence, orientation, and cost. |
Contents
GUIDED VEHICLE TECHNOLOGY | 1 |
The Design and Construction of Three Autonomous Vehicles | 15 |
Evaluation of Heuristic Control Strategies for AGVs Under | 25 |
Copyright | |
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Other editions - View all
Progress in Materials Handling and Logistics, Volume 1 John A. White,Ira W. Pence Limited preview - 2013 |
Progress in Materials Handling and Logistics, Volume 1 John A. White,Ira W. Pence No preview available - 2014 |
Common terms and phrases
20 lanes accumulation lane algorithm AMRF analysis approach architecture arrival rates assigned attributes Automated Automated Guided Vehicle backhaul block branch and bound buffer carousel cell controller clustering control system conveyor cost decision demand developed devices distribution dynamic entities environment evaluation example Flexible Manufacturing Systems function Greedy algorithm Guided Vehicle heuristic IEEE image processing induction point initial solution input items/hr job types K-median Lane Capacity layout linehaul linehaul-backhaul load machine vision manipulators material handling system methods mobile robots navigation number of lanes onboard controller operations optical optical computing optimal output partial ordering path PDMQL performance Petri Nets position production queue length queueing network recirculation Research scheduling Section sensors sequence SIMAN simulation language spacefilling curve heuristics specified station storage submodel Table techniques Technology Throughput Ratio Traveling Salesman Problem VLFW workcenter workpiece workstation λ λ λ