NDLI: On the genetic-search-algorithm-based Multi-parameter Optimization Design System of Packaging Container Size

Content Provider	IEEE Xplore Digital Library
Author	Lingsong Wang Dongai Wang Huina Ni Jili Cheng
Copyright Year	2011
Description	Author affiliation: School of Mechanical Engineering, Tianjin University of Commerce, China (Lingsong Wang; Dongai Wang; Huina Ni; Jili Cheng)
Abstract	This paper analyzes the major impact of size-selection of carton packages on logistics cost, and the importance of giving consideration to both inside and outside size-optimization during the process of package design. Besides, it introduces a software named Multi-parameter Optimization Design System of Package Container Size, which is used to assist package designer on solving problem that reducing logistics costs while designing both the inside and outside packages. The paper gives a detailed introduction on the design concept and the module-functions of the system, and the design process of the aid optimization design module Furthermore, it highlights the searching mathematical model, boundary condition, process parameter of genetic searching and so on, which based on genetic algorithm in assembling management module of the system. The software's size-search module based on the above algorithm can be convenient for designers to quickly search the optimization inside and outside package size during the packaging process, so as to efficiently reduce the waste of space for container vessels, the rate of transportation, the quantity of storage resources and other factors of production. In addition, it offers the logic flow chart of the algorithm for searching process.
Starting Page	3399
Ending Page	3402
File Size	332503
Page Count	4
File Format	PDF
ISBN	9781424480364
e-ISBN	9781424480395
DOI	10.1109/ICEICE.2011.5777725
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-04-15
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Multi-parameter optimization Genetic algorithm Containers Optimization system Educational institutions Size optimization design Mechanical engineering Optimization Package vessel size optimization Genetic algorithms Business
Content Type	Text
Resource Type	Article

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