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Pareto-Based Multi-Objective Optimization for Two-Block Class-Based Storage Warehouse Design
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  • Pareto-Based Multi-Objective Optimization for Two-Block Class-Based Storage Warehouse Design
  • Pareto-Based Multi-Objective Optimization for Two-Block Class-Based Storage Warehouse Design
저자명
Sooksaksun. Natanaree
간행물명
Industrial engineering & management systems : an international journal
권/호정보
2012년|11권 4호|pp.331-338 (8 pages)
발행정보
대한산업공학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

This research proposes a Pareto-based multi-objective optimization approach to class-based storage warehouse design, considering a two-block warehouse that operates under the class-based storage policy in a low-level, picker-to-part and narrow aisle warehousing system. A mathematical model is formulated to determine the number of aisles, the length of aisle and the partial length of each pick aisle to allocate to each product class that minimizes the travel distance and maximizes the usable storage space. A solution approach based on multiple objective particle swarm optimization is proposed to find the Pareto front of the problems. Numerical examples are given to show how to apply the proposed algorithm. The results from the examples show that the proposed algorithm can provide design alternatives to conflicting warehouse design decisions.