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RSS FeedsSustainability, Vol. 11, Pages 1148: Performance Analysis of Three Intelligent Algorithms on Route Selection of Fishbone Layout (Sustainability)

 
 

21 february 2019 15:04:08

 
Sustainability, Vol. 11, Pages 1148: Performance Analysis of Three Intelligent Algorithms on Route Selection of Fishbone Layout (Sustainability)
 


The Internet of Things (IoT) has become an important strategy in the current round of global economic growth and technological development and provides a new path for the intelligent development of the logistics industry. With the development of the economy, the demand for logistics benefits is becoming more important. The appropriate use of technologies related to IoT to improve logistics efficiency, such as cloud computing, mobile computing and data mining, has become a topic of considerable research interest. Picking operations are currently an extremely important and cumbersome aspect of logistics center tasks. To shorten the picking distance and improve work efficiency, this paper uses the genetic algorithm, ant colony algorithm and cuckoo algorithm to optimize the picking path in a fishbone-layout warehouse and establishes an optimized model of the warehouse picking path under the fishbone layout. Data-mining technology is used to simulate the model and obtain the simulation data under the condition of multiple orders. The results provide a theoretical basis for the study of the fishbone-layout picking path model and has certain practical significance for the efficient operation of logistics enterprises. Through optimization, it is conducive to the sustainable development of enterprises and to achieving long-term profitability.


 
43 viewsCategory: Ecology
 
Sustainability, Vol. 11, Pages 1149: Recovering-Innovation-Exportation Triangle as an Instrument for Sustainable Development: Proposal for Peruvian Agro-Export Development (Sustainability)
Sustainability, Vol. 11, Pages 1147: What Drives People to Complain about Environmental Issues? An Analysis Based on Panel Data Crossing Provinces of China (Sustainability)
 
 
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