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Development and Performance Evaluation of Storage Allocation Models in Warehouse

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dc.contributor.advisor Uddin, Prof. Dr. Md. Kutub
dc.contributor.author Islam, Md. Saiful
dc.date.accessioned 2018-12-23T08:46:17Z
dc.date.available 2018-12-23T08:46:17Z
dc.date.copyright 2018
dc.date.issued 2018-11
dc.identifier.other ID 1411555
dc.identifier.uri http://hdl.handle.net/20.500.12228/468
dc.description This thesis is submitted to the Department of Industrial Engineering and Management, Khulna University of Engineering & Technology in partial fulfillment of the requirements for the degree of Master of Science in Engineering in Industrial Engineering and Management, November 2018. en_US
dc.description Cataloged from PDF Version of Thesis.
dc.description Includes bibliographical references (pages 33-39).
dc.description.abstract Order picking is the most labor-intensive and costly operation in warehouse. Efficient storage assignment rules enormously affect the order picking efficiency. Warehouse managers are concerned about searching for the most effective way of managing order picking, minimizing the costs involved in terms of travel distance. The purpose of this research is to develop an efficient dedicated storage allocation method utilizing both the principle of group technology (GT) and the cube-per-order index (COI) storage policy in a maintenance environment warehouse. In this method, spare parts required for a particular maintenance work are grouped together on the basis of similarity of usages, even if they are dissimilar in size, shape etc. After that, the groups and parts within each group are assigned according to COI rule. The performance of the method is evaluated using simulation and compared with other sequence, frequency and group based dedicated storage methods. A genetic algorithm is embedded into the simulation program to determine the optimal traveling sequence that will minimize the travel distance. In the simulation study, it is found that the proposed method has the highest reduction in the distance travelled by the pickers. en_US
dc.description.statementofresponsibility Md. Saiful Islam
dc.format.extent 55 pages
dc.language.iso en_US en_US
dc.publisher Khulna University of Engineering & Technology (KUET), Khulna, Bangladesh en_US
dc.rights Khulna University of Engineering & Technology (KUET) thesis/dissertation/internship reports are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission.
dc.subject Warehouse en_US
dc.subject Storage Allocation Method en_US
dc.subject Group Technology en_US
dc.subject Cube-Per-Order Index en_US
dc.title Development and Performance Evaluation of Storage Allocation Models in Warehouse en_US
dc.type Thesis en_US
dc.description.degree Master of Science in Engineering in Industrial Engineering and Management
dc.contributor.department Department of Industrial Engineering and Management


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