A Planning of Put-to-light Based Picking System

碩士 === 國立中央大學 === 工業管理研究所 === 95 === According to the picking operation in Distribution Centers, the Computer Aided Picking Systems could be divided into “Pick-to-light” and “Put-to-light”. In the “Pick-to-light” system, the digital tags on racks correspond to items and indicate pickers to pick item...

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Bibliographic Details
Main Authors: Jhong-jheng Liou, 劉忠政
Other Authors: 何應欽
Format: Others
Language:zh-TW
Published: 2007
Online Access:http://ndltd.ncl.edu.tw/handle/16689101459702144160
Description
Summary:碩士 === 國立中央大學 === 工業管理研究所 === 95 === According to the picking operation in Distribution Centers, the Computer Aided Picking Systems could be divided into “Pick-to-light” and “Put-to-light”. In the “Pick-to-light” system, the digital tags on racks correspond to items and indicate pickers to pick items. In the other hand, the tags correspond to customers’ orders in the “Put-to-light” system. Pickers batch the necessary items of these orders and then assort the needed items to orders by the indication of tags. The study is based on the picking operation of “Put-to-light” systems and experimented with simulation by the proposed methods under multiple cross-aisles warehouses environment. There are four phases in the study: the first phase is types of input orders, the second phase is item grouping, including the similar coefficients and the cluster analysis which proposed in previous research, the third phase is assignment of assorting zones, and the last is sequence of the orders that have be allocated to bins. Once the previous one phase has finished, the next phase will begin. The study is experimented with three different order type levels, four similar coefficient levels, three cluster rule levels, two assignment of assorting zone levels, and thirteen order allocation criterion levels. There are totally 936 combinations and the pickers’ total traveling distance is used as performance measurement to measure every combination. The result is as concentrated as consisting of orders, the proposed methods are more efficacy in saving traveling distance. When the system under the concentrated order type level, the similar coefficient, cluster rule and assignment of assorting zone factors are significant. But when it under uniform order type level, the similar coefficient, cluster rule and order allocation criterion factors are significant. Finally, the best level of similar coefficient, cluster rule, assignment of assorting zone and order allocation criterion are SC1, CA3, AL2 and OC11.