NDLI: Correlated storage assignment to minimize zone visits for BOM picking

Content Provider	Springer Nature Link
Author	Xiao, Jian Zheng, Li
Copyright Year	2011
Abstract	The objective of this study is to design a correlated storage assignment system by storing items with demand dependences together to minimize zone visits when picking materials/parts in production line. The demand dependences can be obtained from the products’ bill of materials (BOMs) and production rates. Due to the large number of materials in a BOM, picking capacity constraint is explicitly considered. A mathematical model is formulated and heuristic algorithms are proposed, including two direct heuristics and two hybrid genetic algorithms with different crossover mechanisms. Numerical experimentation shows that the hybrid genetic algorithm with 2-point crossover outperforms others and can be practical in warehouse design.
Starting Page	797
Ending Page	807
Page Count	11
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	61
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-12-13
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Storage assignment BOM Order picking Genetic algorithm Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics/Supply Chain Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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