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Autonomy in Mobile Fulfillment System: Goods-To-Man Picking System
 
 
 
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Title Autonomy in Mobile Fulfillment System: Goods-To-Man Picking System
Edition
Call Number 2016/40
ISBN/ISSN
Author(s) Adityas, Atika Indah
Subject(s) Automated Warehouse
Simulation Models
Goods-to-Man Picking System
Classification 005.74 Adi a
Series Title
GMD Tesis
Language Inggris
Publisher Departemen Teknik Industri FTI-ITS
Publishing Year 2016
Publishing Place Surabaya
Collation
Abstract/Notes Nowadays, issues regarding to e-commerce unpredictability become a problem in warehouse operations. This unpredictability is make difficult by fulfillment challenges. Designing a goods-to-man picking system and dispatching order strategy based on service in random order (SIRO) can be one of promising alternative to reduce AGV empty travel distance. The focus is on the warehouse operations, start from item classification on dynamic slots location, multi-attribute AGV dispatching rules and AGV battery management. The system aims to minimize total cost of AGV by assign the multi-attribute dispatching rules and bidding process to get on time delivery as many orders that can be completed, dealing with minimum battery-charging effects on the system operation. The planning system considers dynamic nature of customer order demand, and the simulation based development is used to model real time dynamic slots storage location and AGVs availability. The computational experiments showed this methodology most likely could reduce total cost by perform more than one AGV in operating systems
Specific Detail Info automated warehouse, goods-to-man picking system, dynamic slots storage location, battery management, simulation model
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Pembimbing Prof. Shuo-Yan Chou; Dr. Eng., Ir. Ahmad Rusdiansyah, M.Eng
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