The Impact of Object-Oriented Order Picking System on Performance in a Supply Chain

Simulation has been proven one of the fundamental methodologies in operations research-related fields. The simulation created by an object-oriented program has the advantages of hierarchical structures, inheritance, polymorphism, and the re-use of objects. This paper uses eM-plant software for object-oriented, which is based on the minimum overall traveling distance as the optimum performance index, the cross aisle quantity, warehouse layout, storage assignment, picking route planning, and picking density in the warehouse system. This paper aims to improve the performance of order picking system in a warehouse through an object-oriented simulation study. Data are obtained from a real case. This study examines several storage assignment policies and several sensitivity analyses. Finally, the results provide managers as a reference in the warehouse planning or warehouse design improvement in the future.

[1]  Yeming Gong,et al.  A polling-based dynamic order picking system for online retailers , 2008 .

[2]  Hing Kai Chan,et al.  Improving the productivity of order picking of a manual-pick and multi-level rack distribution warehouse through the implementation of class-based storage , 2011, Expert Syst. Appl..

[3]  John M. Usher.  A tutorial and review of object-oriented design of manufacturing software systems , 1996 .

[4]  Yung-Li Lily Jow,et al.  An approximation method for tandem queues with blocking , 1988 .

[5]  Imtiaz Ahmad,et al.  Frequency assignment problem in satellite communications using differential evolution , 2010, Comput. Oper. Res..

[6]  Bernardo Villarreal,et al.  A Simulation Approach to Improve Assembly Line Performance , 2011 .

[7]  Ming Feng Yang.  Using Simulation to Object-Oriented Order Picking System , 2008 .

[8]  Pratik J. Parikh,et al.  Estimating picker blocking in wide-aisle order picking systems , 2009 .

[9]  Roger W. Schmenner,et al.  An Evaluation of Routing and Volume‐based Storage Policies in an Order Picking Operation , 1999 .

[10]  Ling-feng Hsieh,et al.  The optimum design of a warehouse system on order picking efficiency , 2006 .

[11]  Gino Marchet,et al.  Routing policies and COI-based storage policies in picker-to-part systems , 1998 .

[12]  Carl Kallina,et al.  Application of the Cube-Per-Order Index Rule for Stock Location in a Distribution Warehouse , 1976 .

[13]  Russell D. Meller,et al.  The effects of pick density on order picking areas with narrow aisles , 2006 .

[14]  Teofilo F. Gonzalez,et al.  P-Complete Approximation Problems , 1976, J. ACM.