Stock take refers to the process of physically verifying the amounts and conditions of all commodities present in the warehouse. Instead of conducting this task on an annual basis, it would be more effective to perform it on a monthly basis. Workers in a cold storage warehouse face hazards throughout the stock-taking process, such as being exposed to low temperatures and working in elevated areas with ladders and heavy gear. Hence, conducting stocktaking operations using UAVs can effectively reduce these risks and enhance the operational effectiveness of the facility. The objective of this study is to identify an effective approach for stocktaking in cold storage using UAVs and creating an energy efficient routing system for the selected UAV system. UAV with a UGV selected as the UAV system. Considering the energy usage of UAVV we created energy aware routing system which is 25.6% efficient compared to traditional system in our simulated scenario.

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Safety and Productivity in Cold Storage Stocktaking: UAV Integration and Energy-Efficient Routing Strategies

  • Thanuja Wickramasinghe,
  • Amila Thibbotuwawa,
  • H. Niles Perera,
  • Izabela Nielsen,
  • Thillaiampalam Sivakumar

摘要

Stock take refers to the process of physically verifying the amounts and conditions of all commodities present in the warehouse. Instead of conducting this task on an annual basis, it would be more effective to perform it on a monthly basis. Workers in a cold storage warehouse face hazards throughout the stock-taking process, such as being exposed to low temperatures and working in elevated areas with ladders and heavy gear. Hence, conducting stocktaking operations using UAVs can effectively reduce these risks and enhance the operational effectiveness of the facility. The objective of this study is to identify an effective approach for stocktaking in cold storage using UAVs and creating an energy efficient routing system for the selected UAV system. UAV with a UGV selected as the UAV system. Considering the energy usage of UAVV we created energy aware routing system which is 25.6% efficient compared to traditional system in our simulated scenario.