Mathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systems

This article aims to introduce mathematical programming models for the joint order batching and picker routing problem (JOBPRP) and the joint order batching, sequencing and routing problem (JOBSPRP). For this purpose, we present formulations for the traveled distance and travel time between picking...

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Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
eng
OAI Identifier:
oai:repository.udem.edu.co:11407/5979
Acceso en línea:
http://hdl.handle.net/11407/5979
Palabra clave:
Mathematical programming modeling
Order batching
Order picking
Picker routing
Sequencing
Materials handling
Mathematical programming
Travel time
Traveling salesman problem
Mathematical programming models
Order batching
Order picking
Picker routing
Sequencing
Warehouses
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http://purl.org/coar/access_right/c_16ec
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oai_identifier_str oai:repository.udem.edu.co:11407/5979
network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
dc.title.none.fl_str_mv Mathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systems
title Mathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systems
spellingShingle Mathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systems
Mathematical programming modeling
Order batching
Order picking
Picker routing
Sequencing
Materials handling
Mathematical programming
Travel time
Traveling salesman problem
Mathematical programming models
Order batching
Order picking
Picker routing
Sequencing
Warehouses
title_short Mathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systems
title_full Mathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systems
title_fullStr Mathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systems
title_full_unstemmed Mathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systems
title_sort Mathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systems
dc.subject.spa.fl_str_mv Mathematical programming modeling
Order batching
Order picking
Picker routing
Sequencing
topic Mathematical programming modeling
Order batching
Order picking
Picker routing
Sequencing
Materials handling
Mathematical programming
Travel time
Traveling salesman problem
Mathematical programming models
Order batching
Order picking
Picker routing
Sequencing
Warehouses
dc.subject.keyword.eng.fl_str_mv Materials handling
Mathematical programming
Travel time
Traveling salesman problem
Mathematical programming models
Order batching
Order picking
Picker routing
Sequencing
Warehouses
description This article aims to introduce mathematical programming models for the joint order batching and picker routing problem (JOBPRP) and the joint order batching, sequencing and routing problem (JOBSPRP). For this purpose, we present formulations for the traveled distance and travel time between picking positions in low-level and high-level picker-to-part systems (2D and 3D warehouses) and single-block and multiple-block warehouses. Likewise, we formulate Steiner traveling salesman problem (STSP) models considering multiple pickers, heterogeneous picking vehicles, multiple objectives and due windows. We calculate the number of binary variables, continuous variables and constraints for the proposed models, in order to show the complexity of solving these order picking problems using exact solution methods. As a result, we introduce several mathematical models for manual order picking systems, which could serve as references for researchers interested in finding optimal or high-quality solutions to joint order picking problems, considering realistic warehouse and distribution center environments. © 2019 The Authors
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2021-02-05T14:58:22Z
dc.date.available.none.fl_str_mv 2021-02-05T14:58:22Z
dc.date.none.fl_str_mv 2020
dc.type.eng.fl_str_mv Article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.issn.none.fl_str_mv 10183639
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/5979
dc.identifier.doi.none.fl_str_mv 10.1016/j.jksues.2019.02.004
identifier_str_mv 10183639
10.1016/j.jksues.2019.02.004
url http://hdl.handle.net/11407/5979
dc.language.iso.none.fl_str_mv eng
language eng
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dc.relation.citationvolume.none.fl_str_mv 32
dc.relation.citationissue.none.fl_str_mv 3
dc.relation.citationstartpage.none.fl_str_mv 219
dc.relation.citationendpage.none.fl_str_mv 228
dc.relation.references.none.fl_str_mv Azadnia, A.H., Taheri, S., Ghadimi, P., Mat Saman, M.Z., Wong, K.Y., Order batching in warehouses by minimizing total tardiness: A hybrid approach of weighted association rule mining and genetic algorithms (2013) Sci. World J., 2013, pp. 1-13
Cano, J.A., Correa-Espinal, A.A., Gómez-Montoya, R.A., A review of research trends in order batching, sequencing and picker routing problems (2018) Espacios, 39, p. 3
Cano, J.A., Correa-Espinal, A.A., Gómez-Montoya, R.A., An evaluation of picking routing policies to improve warehouse efficiency (2017) Int. J. Ind. Eng. Manag., 8, pp. 229-238
Cano, J.A., Gomez, R.A., Salazar, F., Routing policies in multi-parallel warehouses: an analysis of computing times (2017) Espacios, 38, p. 23
Cergibozan, Ç., Tasan, A.S., Order batching operations: an overview of classification, solution techniques, and future research (2016) J. Intell. Manuf., pp. 1-15
Chen, T.L., Cheng, C.Y., Chen, Y.Y., Chan, L.K., An efficient hybrid algorithm for integrated order batching, sequencing and routing problem (2015) Int. J. Prod. Econ., 159, pp. 158-167
Cheng, C.-Y., Chen, Y.-Y., Chen, T.-L., Yoo, J.J.-W., Using a hybrid approach based on the particle swarm optimization and ant colony optimization to solve a joint order batching and picker routing problem (2015) Int. J. Prod. Econ., 170, pp. 1-10
De Koster, R., Le-Duc, T., Roodbergen, K.J., Design and control of warehouse order picking: A literature review (2007) Eur. J. Oper. Res., 182, pp. 481-501
Gademann, N., van de Velde, S., Order batching to minimize total travel time in a parallel-aisle warehouse (2005) IIE Trans., 37, pp. 63-75
Gómez, R.A., Correa, A., Muñuzuri, J., Cortes, P., Análisis comparativo del problema de conformación de lotes con ruteo en la preparación de pedidos respecto al HVRP (Heterogeneous Vehicle Routing Problem) (2016) Dir. y Organ., 59, pp. 49-60
Henn, S., Order batching and sequencing for the minimization of the total tardiness in picker-to-part warehouses (2015) Flex. Serv. Manuf. J., 27, pp. 86-114
Henn, S., Schmid, V., Metaheuristics for order batching and sequencing in manual order picking systems (2013) Comput. Ind. Eng., 66, pp. 338-351
Koch, S., Wäscher, G., A grouping genetic algorithm for the order batching problem in distribution warehouses (2016) J. Bus. Econ., 86, pp. 131-153
Kulak, O., Sahin, Y., Taner, M.E., Joint order batching and picker routing in single and multiple-cross-aisle warehouses using cluster-based tabu search algorithms (2012) Flex. Serv. Manuf. J., 24, pp. 52-80
Li, J., Huang, R., Dai, J.B., Joint optimisation of order batching and picker routing in the online retailer's warehouse in China (2017) Int. J. Prod. Res., 55, pp. 447-461
Lin, C.-C., Kang, J.-R., Hou, C.-C., Cheng, C.-Y., Joint order batching and picker Manhattan routing problem (2016) Comput. Ind. Eng., 95, pp. 164-174
Lu, W., McFarlane, D., Giannikas, V., Zhang, Q., An algorithm for dynamic order-picking in warehouse operations (2016) Eur. J. Oper. Res., 248, pp. 107-122
Matusiak, M., De Koster, R., Kroon, L., Saarinen, J., A fast simulated annealing method for batching precedence-constrained customer orders in a warehouse (2014) Eur. J. Oper. Res., 236, pp. 968-977
Matusiak, M., de Koster, R., Saarinen, J., Utilizing individual picker skills to improve order batching in a warehouse (2017) Eur. J. Oper. Res., 263, pp. 888-899
Muter, I., Öncan, T., An exact solution approach for the order batching problem (2015) IIE Trans., 47, pp. 728-738
Öncan, T., MILP formulations and an iterated local search algorithm with tabu thresholding for the order batching problem (2015) Eur. J. Oper. Res., 243, pp. 142-155
Öncan, T., Caǧirici, M., MILP formulations for the order batching problem in low-level picker-to-part warehouse systems (2013) IFAC Proc., 46, pp. 471-476
Pan, J.C.-H., Wu, M.-H., Chang, W.-L., A travel time estimation model for a high-level picker-to-part system with class-based storage policies (2014) Eur. J. Oper. Res., 237, pp. 1054-1066
Scholz, A., Henn, S., Stuhlmann, M., Wäscher, G., A new mathematical programming formulation for the single-picker routing problem (2016) Eur. J. Oper. Res., 253, pp. 68-84
Scholz, A., Schubert, D., Wäscher, G., Order picking with multiple pickers and due dates –Simultaneous solution of order batching, batch assignment and sequencing, and picker routing problems (2017) Eur. J. Oper. Res., 263, pp. 461-478
Scholz, A., Wäscher, G., Order batching and picker routing in manual order picking systems: the benefits of integrated routing (2017) Cent. Eur. J. Oper. Res., 25, pp. 491-520
Tompkins, J.A., White, J.A., Bozer, Y.A., Tanchoco, J.M.A., Facilities Planning (2010), fourth ed. Wiley New Jersey
Tsai, C.-Y., Liou, J.J.H., Huang, T.-M., Using a multiple-GA method to solve the batch picking problem: considering travel distance and order due time (2008) Int. J. Prod. Res., 46, pp. 6533-6555
Valle, C.A., Beasley, J.E., da Cunha, A.S., Optimally solving the joint order batching and picker routing problem (2017) Eur. J. Oper. Res., 262, pp. 817-834
Won, J., Olafsson, S., Joint order batching and order picking in warehouse operations (2005) Int. J. Prod. Res., 43, pp. 1427-1442
Zhang, J., Wang, X., Huang, K., Integrated on-line scheduling of order batching and delivery under B2C e-commerce (2016) Comput. Ind. Eng., 94, pp. 280-289
Zhang, J., Wang, X., Chan, F.T.S., Ruan, J., On-line order batching and sequencing problem with multiple pickers: A hybrid rule-based algorithm (2017) Appl. Math. Model., 45, pp. 271-284
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.none.fl_str_mv King Saud University
dc.publisher.program.spa.fl_str_mv Administración de Empresas
dc.publisher.faculty.spa.fl_str_mv Facultad de Ciencias Económicas y Administrativas
publisher.none.fl_str_mv King Saud University
dc.source.none.fl_str_mv Journal of King Saud University - Engineering Sciences
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
_version_ 1808481181256122368
spelling 20202021-02-05T14:58:22Z2021-02-05T14:58:22Z10183639http://hdl.handle.net/11407/597910.1016/j.jksues.2019.02.004This article aims to introduce mathematical programming models for the joint order batching and picker routing problem (JOBPRP) and the joint order batching, sequencing and routing problem (JOBSPRP). For this purpose, we present formulations for the traveled distance and travel time between picking positions in low-level and high-level picker-to-part systems (2D and 3D warehouses) and single-block and multiple-block warehouses. Likewise, we formulate Steiner traveling salesman problem (STSP) models considering multiple pickers, heterogeneous picking vehicles, multiple objectives and due windows. We calculate the number of binary variables, continuous variables and constraints for the proposed models, in order to show the complexity of solving these order picking problems using exact solution methods. As a result, we introduce several mathematical models for manual order picking systems, which could serve as references for researchers interested in finding optimal or high-quality solutions to joint order picking problems, considering realistic warehouse and distribution center environments. © 2019 The AuthorsengKing Saud UniversityAdministración de EmpresasFacultad de Ciencias Económicas y Administrativashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85061970038&doi=10.1016%2fj.jksues.2019.02.004&partnerID=40&md5=150c25394a0da7932196bb404586192f323219228Azadnia, A.H., Taheri, S., Ghadimi, P., Mat Saman, M.Z., Wong, K.Y., Order batching in warehouses by minimizing total tardiness: A hybrid approach of weighted association rule mining and genetic algorithms (2013) Sci. World J., 2013, pp. 1-13Cano, J.A., Correa-Espinal, A.A., Gómez-Montoya, R.A., A review of research trends in order batching, sequencing and picker routing problems (2018) Espacios, 39, p. 3Cano, J.A., Correa-Espinal, A.A., Gómez-Montoya, R.A., An evaluation of picking routing policies to improve warehouse efficiency (2017) Int. J. Ind. Eng. Manag., 8, pp. 229-238Cano, J.A., Gomez, R.A., Salazar, F., Routing policies in multi-parallel warehouses: an analysis of computing times (2017) Espacios, 38, p. 23Cergibozan, Ç., Tasan, A.S., Order batching operations: an overview of classification, solution techniques, and future research (2016) J. Intell. Manuf., pp. 1-15Chen, T.L., Cheng, C.Y., Chen, Y.Y., Chan, L.K., An efficient hybrid algorithm for integrated order batching, sequencing and routing problem (2015) Int. J. Prod. Econ., 159, pp. 158-167Cheng, C.-Y., Chen, Y.-Y., Chen, T.-L., Yoo, J.J.-W., Using a hybrid approach based on the particle swarm optimization and ant colony optimization to solve a joint order batching and picker routing problem (2015) Int. J. Prod. Econ., 170, pp. 1-10De Koster, R., Le-Duc, T., Roodbergen, K.J., Design and control of warehouse order picking: A literature review (2007) Eur. J. Oper. Res., 182, pp. 481-501Gademann, N., van de Velde, S., Order batching to minimize total travel time in a parallel-aisle warehouse (2005) IIE Trans., 37, pp. 63-75Gómez, R.A., Correa, A., Muñuzuri, J., Cortes, P., Análisis comparativo del problema de conformación de lotes con ruteo en la preparación de pedidos respecto al HVRP (Heterogeneous Vehicle Routing Problem) (2016) Dir. y Organ., 59, pp. 49-60Henn, S., Order batching and sequencing for the minimization of the total tardiness in picker-to-part warehouses (2015) Flex. Serv. Manuf. J., 27, pp. 86-114Henn, S., Schmid, V., Metaheuristics for order batching and sequencing in manual order picking systems (2013) Comput. Ind. Eng., 66, pp. 338-351Koch, S., Wäscher, G., A grouping genetic algorithm for the order batching problem in distribution warehouses (2016) J. Bus. Econ., 86, pp. 131-153Kulak, O., Sahin, Y., Taner, M.E., Joint order batching and picker routing in single and multiple-cross-aisle warehouses using cluster-based tabu search algorithms (2012) Flex. Serv. Manuf. J., 24, pp. 52-80Li, J., Huang, R., Dai, J.B., Joint optimisation of order batching and picker routing in the online retailer's warehouse in China (2017) Int. J. Prod. Res., 55, pp. 447-461Lin, C.-C., Kang, J.-R., Hou, C.-C., Cheng, C.-Y., Joint order batching and picker Manhattan routing problem (2016) Comput. Ind. Eng., 95, pp. 164-174Lu, W., McFarlane, D., Giannikas, V., Zhang, Q., An algorithm for dynamic order-picking in warehouse operations (2016) Eur. J. Oper. Res., 248, pp. 107-122Matusiak, M., De Koster, R., Kroon, L., Saarinen, J., A fast simulated annealing method for batching precedence-constrained customer orders in a warehouse (2014) Eur. J. Oper. Res., 236, pp. 968-977Matusiak, M., de Koster, R., Saarinen, J., Utilizing individual picker skills to improve order batching in a warehouse (2017) Eur. J. Oper. Res., 263, pp. 888-899Muter, I., Öncan, T., An exact solution approach for the order batching problem (2015) IIE Trans., 47, pp. 728-738Öncan, T., MILP formulations and an iterated local search algorithm with tabu thresholding for the order batching problem (2015) Eur. J. Oper. Res., 243, pp. 142-155Öncan, T., Caǧirici, M., MILP formulations for the order batching problem in low-level picker-to-part warehouse systems (2013) IFAC Proc., 46, pp. 471-476Pan, J.C.-H., Wu, M.-H., Chang, W.-L., A travel time estimation model for a high-level picker-to-part system with class-based storage policies (2014) Eur. J. Oper. Res., 237, pp. 1054-1066Scholz, A., Henn, S., Stuhlmann, M., Wäscher, G., A new mathematical programming formulation for the single-picker routing problem (2016) Eur. J. Oper. Res., 253, pp. 68-84Scholz, A., Schubert, D., Wäscher, G., Order picking with multiple pickers and due dates –Simultaneous solution of order batching, batch assignment and sequencing, and picker routing problems (2017) Eur. J. Oper. Res., 263, pp. 461-478Scholz, A., Wäscher, G., Order batching and picker routing in manual order picking systems: the benefits of integrated routing (2017) Cent. Eur. J. Oper. Res., 25, pp. 491-520Tompkins, J.A., White, J.A., Bozer, Y.A., Tanchoco, J.M.A., Facilities Planning (2010), fourth ed. Wiley New JerseyTsai, C.-Y., Liou, J.J.H., Huang, T.-M., Using a multiple-GA method to solve the batch picking problem: considering travel distance and order due time (2008) Int. J. Prod. Res., 46, pp. 6533-6555Valle, C.A., Beasley, J.E., da Cunha, A.S., Optimally solving the joint order batching and picker routing problem (2017) Eur. J. Oper. Res., 262, pp. 817-834Won, J., Olafsson, S., Joint order batching and order picking in warehouse operations (2005) Int. J. Prod. Res., 43, pp. 1427-1442Zhang, J., Wang, X., Huang, K., Integrated on-line scheduling of order batching and delivery under B2C e-commerce (2016) Comput. Ind. Eng., 94, pp. 280-289Zhang, J., Wang, X., Chan, F.T.S., Ruan, J., On-line order batching and sequencing problem with multiple pickers: A hybrid rule-based algorithm (2017) Appl. Math. Model., 45, pp. 271-284Journal of King Saud University - Engineering SciencesMathematical programming modelingOrder batchingOrder pickingPicker routingSequencingMaterials handlingMathematical programmingTravel timeTraveling salesman problemMathematical programming modelsOrder batchingOrder pickingPicker routingSequencingWarehousesMathematical programming modeling for joint order batching, sequencing and picker routing problems in manual order picking systemsArticleinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Cano, J.A., Universidad de Medellín, Carrera 87 # 30-65, Medellín, ColombiaCorrea-Espinal, A.A., Universidad Nacional de Colombia, Carrera 80 # 65-223, Medellín, ColombiaGómez-Montoya, R.A., ESACS – Escuela Superior en Administración de Cadena de Suministro, Calle 4 # 18-55, Medellín, Colombiahttp://purl.org/coar/access_right/c_16ecCano J.A.Correa-Espinal A.A.Gómez-Montoya R.A.11407/5979oai:repository.udem.edu.co:11407/59792021-02-05 09:58:22.348Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co