Order Picking System Considering Item Classification Based on Customer Demand

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  • 需要に基づく商品分類を考慮したピッキング形態
  • ジュヨウ ニ モトズク ショウヒン ブンルイ オ コウリョ シタ ピッキング ケイタイ

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Abstract

<p>In most distribution centers, order picking is the most labor-intensive and costly activity. Therefore, improving the productivity of order picking system can reduce the order-receiving lead time and lower cost. There are many studies about order picking, however they consider only one picking system; for example, picking items in each zone, picking items by order batch and so on. In this paper, we propose an order picking system in which two picking systems are combined. One picking system is called “multi-pick” which is one of the most popular picking systems and the other picking system is called “category-pick” which is introduced in this paper. Multi-pick is a picking system that picks by order batch, and category-pick is a picking system that picks by item type. We propose an order picking system by adding multi-pick to category-pick. Items are divided into two groups: picked by multi-pick and picked by category-pick; that is, item classification based on customer demand. In multi-pick, we consider the similarity between orders, and in category-pick, we consider customer demand, which is order frequency. In the order picking system we propose, there are three types of order. The first type is picked by only multi-pick. The second type is picked by only category-pick. The last type is picked using both multi-pick and category-pick. We conducted a numerical experiment using some item classification patterns. The experimental results show that combining the two picking systems makes total working time shorter than that of only one picking system.</p>

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