A New Approach to Model and Optimize the Order Sequence of a Two-stage Storage and Order Picking System with Particular Attention to Restrictions of the Material Flow

Schweitzer, Jens

doi:10.1016/j.sbspro.2016.05.518

Cited by 1 publication

(1 citation statement)

References 8 publications

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“…Location assignment in the warehouse was modified by Zhang [12], where correlated storage assignment strategy was implemented to reduce the travel distance in the packing process. Meanwhile, Schweitzer [13] proposed the optimized model or order sequencing and order picking system to improve the average turnaround times and improved flow of containers in the automatic container warehouse. Picking improvements by different techniques have been reported in various industries such as automotive [9], beverage [14], health care product retail distribution [15].…”

Section: Literature Reviewmentioning

confidence: 99%

Management and Production Engineering Review

Srisuk

Tippayawong

2020

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This study demonstrates application of Lean techniques to improve working process in a sewing machine factory, focusing on the raw material picking process. The value stream mapping and flow process chart techniques were utilized to identify the value added activities, non-value activities and necessary but non-value added activities in the current process. The ECRS (Eliminate, Combine, Rearrange and Simplify) in waste reduction was subsequently applied to improve the working process by (i) adjusting the raw material picking procedures and pre-packing raw material as per demand, (ii) adding symbols onto the containers to reduce time spent in picking material based on visual control principle, and (iii) developing and zoning storage area, identifying level location for each row and also applying algorithms generated from a solver program and linear programming to appropriately define the location of raw material storage. Improvement in the raw material picking process was realized, cutting down six out of 11 procedures in material picking or by 55%, reducing material picking time from 24 to 4 min or by 83%. The distance to handle material in the warehouse can be shortened by 120 m per time or 2,400 m per day, equal to 86% reduction. Lean techniques proved to provide significant improvement in sewing machine company operations.

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Section: Literature Reviewmentioning

confidence: 99%

Management and Production Engineering Review

Srisuk

Tippayawong

2020

View full text Add to dashboard Cite

show abstract

A New Approach to Model and Optimize the Order Sequence of a Two-stage Storage and Order Picking System with Particular Attention to Restrictions of the Material Flow

Cited by 1 publication

References 8 publications

Management and Production Engineering Review

Management and Production Engineering Review

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