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Finding Interactions or Relationships between Customer Orders for Building Better Batches by Means of an Estimation of Distribution Algorithm-based Approach for the Online Order Batching Problem

Published: 20 July 2016 Publication History

Abstract

Order-picking systems are very common in industry. In this warehouse environment an order batching consists of combining customer orders into picking orders. Order batching is a combinatorial issue because many customer orders arrive throughout the scheduling in real-world situations, therefore to find interactions or relationships between orders for building better batches is a difficult task. This paper introduces an estimation of distribution algorithm-based approach for the online order batching problem to guide the overall search process. The results show how the warehouse performance is improved by estimating relationships between orders. This approach is compared with others published in the literature.

References

[1]
Choy, K.L., Ho, G.T.S., and Lee, C.K.H. 2014. A RFID-based storage assignment system for enhancing the efficiency of order picking. Journal of Intelligent Manufacturing. 1--19. DOI= http://link.springer.com/article/10.1007%2Fs10845-014-0965--9#page-1
[2]
Henn, S. 2009. Metaheuristics for the order batching problem in manual order picking systems. Ottovon-Guericke-University Magdeburg. Faculty of Economics and Management. Verband der Hochschullehrer für Betriebswirtschaft e.V., 3, 1, 82--105.
[3]
de Koster, M., Le-Duc, T., and Roodbergen, K. 2007. Design and Control of Warehouse Order Picking: A Literature Review. European Journal of Operational Research, 182, 2, 481--501.
[4]
Chen, F., Wang, H., Xie, Y., and Chao, Qi. 2014. An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse. Journal of Intelligent Manufacturing. 1--20. DOI= http://link.springer.com/article/10.1007%2Fs10845-014-0871--1
[5]
Wäscher, G. 2004. Order Picking: A survey of planning problems and methods. In Supply Chain Management and Reverse Logistics, H. Dyckhoff, R. Lackes, and J. Reese Eds. Springer, Berlin, 323--347.
[6]
Battini, D., Calzavara, M., Persona, A., and Sgarbossa, F. 2015. Order picking system design: the storage assignment and travel distance estimation (SA&TDE) joint method. International Journal of Production Research, 53, 4, 1077--1093.
[7]
Grosse, E.H., Glock, C.H., Jaber, M.Y., and Neumann, W.P. 2015. Incorporating human factors in order picking planning models: framework and research opportunities. International Journal of Production Research, 53, 3, 695--717.
[8]
Roodbergen, K.J., and Vis, I.F.A. 2006. A model of warehouse layout. IIE Transactions, 38, 10, 799--811.
[9]
Gu, J., Goetschalckx, M., and McGinnis, L. 2007. Research on warehouse operation: A comprehensive review. European Journal of Operations Research, 177, 1, 1--21.
[10]
de Koster, M., To, L., and Zaerpour, N. 2012. Determining of number of zones in a pick-and-sort order picking system. International Journal of Production Research, 50, 3, 757--771.
[11]
Kulak, O., Sahin, Y., and Taner, M.E. 2012. Joint order batching and picker routing in single and multiple-cross-aisle warehouses using cluster-based tabu search algorithms. Flexible Services and Manufacturing Journal, 24, 1, 52--80.
[12]
Henn, S. 2010. Algorithms for on-line order batching in an order-picking warehouse. In Proceedings of the 3rd International Conference on Information Systems, Logistics and Supply Chain ILS 2010 (Casablanca, Morocco, April 13--17, 2010). Business Process Consulting.
[13]
Yu, M., and de Koster, R. 2009. The impact of order batching and picking area zoning on order picking system performance. European Journal of Operational Research, 198, 2, 480--490.
[14]
Tetemke, M. 2013. Improving order-picking efficiency via storage assignments strategies. Master Thesis. Enschede: University of Louisville - Universiteit Twente.
[15]
Le-Duc, T., and de Koster, R. 2004. Travel distance estimation in single-block ABC-storage strategy warehouses. In Distribution logistics: Advanced solutions to practical problems, B. Fleiscmann, and A. Klose Eds. Springer, 184--200.
[16]
Le-Duc, T., and de Koster, R. 2005. Travel distance estimation and storage zone optimization in a 2-block class-based storage strategy warehouse. International Journal of Production Research, 43, 17, 3561--3581.
[17]
Roodbergen, K., Gunter, P., and Iris, F. 2008. Designing the layout structure of manual order picking areas in warehouses. IIE Transactions, 40, 1032--1045.
[18]
Berglung, P., and Batta, R. 2012. Optimal placement of warehouse cross-aisles in a picker-to-part warehouse with class-based storage. IIE Transactions, 44, 2, 107--120.
[19]
Petersen, C. 2002. Considerations in order picking zone configuration. International Journal of Operations & Production Management, 27, 7, 793--805.
[20]
Gue, K., and Meller, R. 2009. Aisle configurations for unit-load warehouses. IIE Transactions, 41, 3, 171--182.
[21]
Gue, K., Ivanović, G., and Meller, R. 2012. A unit-load warehouse with multiple pickup and deposit points and non-traditional aisles. Transportation Research Part E: Logistics and Transportation Review, 48, 4, 795--806.
[22]
Eisenstein, D. 2008. Analysis and optimal design of discrete order picking technologies along a line. Naval Research Logistics (NRL), 55, 4, 350--362.
[23]
de Koster, M., Le-Duc, T., and Roodbergen, K. 2007. Design and Control of Warehouse Order Picking: A Literature Review. European Journal of Operational Research, 182, 2, 481--501.
[24]
Tompkins, J. 2003. Facilities Planning (3 ed.). Hoboken., NJ: Wiley.
[25]
Arnold, D., and Furmans, K. 2009. Materialfluss in Logistiksystemen 6 ed. Berlin: Springer.
[26]
Roodbergen, K.J., and Vis, I.F.A. 2006. A model of warehouse layout. IIE Transactions, 38, 10, 799--811.
[27]
Petersen, C. 1997. An evaluation of order picking routeing policies. International Journal of Operations & Production Management, 17, 11, 1098--1111.
[28]
Grosse, E., Glock, C., and Ballester-Ripoll, R. 2014. A simulated annealing approach for the joint order batching and order picker routing problem with weight restrictions. International Journal of Operations and Quantitative Management, 20, 2, 65--83.
[29]
Matusiak, M., de Koster, R., Kroon, L., and Saarinen, J. 2014. A fast simulated annealing method for batching precedence-constrained customer orders in a warehouse. European Journal of Operational Research, 236, 3, 968--977.
[30]
Henn, S., and Schmid, V. 2013. Metaheuristics for order batching and sequencing in manual order picking systems. Computers & Industrial Engineering, 66, 2, 338--351.
[31]
Hong, S., Johnson, A.L., and Peters, B.A. 2012. Batch picking in narrow-aisle order picking systems with consideration for picker blocking. European Journal of Operational Research, 221, 3, 557--570.
[32]
Schleyer, M., and Gue, K. 2012. Throughput time distribution analysis for a one-block warehouse. Transportation Research Part E: Logistics and Transportation Review, 48, 3, 652--666.
[33]
Hong, S., Johnson, A.L., and Peters, B.A. 2012. Large-scale order batching in parallel-aisle picking systems. IIE Transactions, 44, 2, 88--106.
[34]
Gong, Y.M., and de Koster, R. 2008. A polling-based dynamic order picking system for online retailers. IIE Transactions, 40, 11, 1070--1082.
[35]
Rubrico, J.I.U., Higashi, T., Tamura, H., and Ota, J. 2011. Online rescheduling of multiple picking agents for warehouse management. Robotics and Computer-Integrated Manufacturing, 27, 1, 62--71.
[36]
Bukchin, Y., Khmelnitsky, E., and Yakuel, P. 2012. Optimizing a dynamic order-picking process. European Journal of Operational Research, 219, 2, 335--346.
[37]
Öncan, T. 2013. A Genetic Algorithm for the order batching problem in low-level picker-to-part warehouse systems. In Proceedings of the International MultiConference of Engineers and Computer Scientists 2013 Vol I, IMECS 2013 (Hong Kong, March 13--15, 2013).
[38]
Hsu, C., Chen, K., and Chen, M. 2005. Batching orders in warehouses by minimizing travel distance with genetic algorithms. Computers in Industry, 56, 169--178.
[39]
Mühlenbein, H., and Paaß, G. 1996. From recombination of genes to the estimation of distributions: I. binary parameters. In Parallel Problem Solving from Nature PPSN IV, H. Voigt, W. Ebeling, I. Rechenberg, and H. Schwefel Eds. Springer, Berlin, 178--187.
[40]
Chen, S.-H., Chen, M.-C., Chang, P.-C., Zhang, Q., and Chen, Y.-M. 2010. Guidelines for developing effective Estimation of Distribution Algorithms in solving single machine scheduling problems. Expert Systems with Applications, 37, 6441--6451.
[41]
Liu, H., Gao, L., and Pan, Q. 2011. A hybrid particle swarm optimization with estimation of distribution algorithm for solving permutation flowshop scheduling problem. Experts Systems with Applications, 38, 4348--4360.
[42]
Pan, Q.-K., and Ruiz, R. 2012. An estimation of distribution algorithm for lot-streaming flow shop problems with setup times. Omega, 40, 166--180.
[43]
Pérez, R., Hernández, A. and S, Jöns. 2015. A continuous estimation of distribution algorithm for the online order-batching problem. International Journal of Advanced Manufacturing Technology, 79, 1--4, 569--588.
[44]
Greenwood, A., Vanguri, S., Eksioglu, B., Jain, P., Hill, T., and Miller, J. 2005. Simulation Optimization Decision Support System for Ship Panel Shop Operations. In Proceedings of the 2005 Winter Simulation Conference, M. E. Kuhl, N. M. Steiger, F. Armstrong, and J. Joines Eds. 2078--2086.
[45]
Larrañaga, P., and Lozano, J. 2002. Estimation of distribution algorithms: a new tool for evolutionary computation. Kluwer Academic Publishers.

Cited By

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  • (2020)Basic VNS for a Variant of the Online Order Batching ProblemVariable Neighborhood Search10.1007/978-3-030-44932-2_2(17-36)Online publication date: 8-Apr-2020

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      cover image ACM Conferences
      GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016
      July 2016
      1196 pages
      ISBN:9781450342063
      DOI:10.1145/2908812
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      Publication History

      Published: 20 July 2016

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      Author Tags

      1. combinatorial optimization.
      2. heuristics
      3. metaheuristics
      4. routing and layout
      5. time-tabling and scheduling

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      GECCO '16
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      GECCO '16: Genetic and Evolutionary Computation Conference
      July 20 - 24, 2016
      Colorado, Denver, USA

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      GECCO '16 Paper Acceptance Rate 137 of 381 submissions, 36%;
      Overall Acceptance Rate 1,669 of 4,410 submissions, 38%

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      • (2020)Basic VNS for a Variant of the Online Order Batching ProblemVariable Neighborhood Search10.1007/978-3-030-44932-2_2(17-36)Online publication date: 8-Apr-2020

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