Adityas, Atika Indah (2016) Autonomy In Mobile Fulfillment System: Goods-To-Man Picking System. Masters thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
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
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | RTI 658.785 Adi a |
| Uncontrolled Keywords: | Automated warehouse, Goods-to-man picking system, Dynamic slots storage location, Battery, Simulation model |
| Subjects: | T Technology > T Technology (General) > T58.6 Management information systems |
| Divisions: | Faculty of Industrial Technology > Industrial Engineering > 26101-(S2) Master Thesis |
| Depositing User: | ansi aflacha |
| Date Deposited: | 18 May 2020 06:30 |
| Last Modified: | 18 May 2020 06:30 |
| URI: | http://repository.its.ac.id/id/eprint/76009 |
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