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dc.creatorCano J.A.
dc.date2020
dc.date.accessioned2021-02-05T14:58:17Z
dc.date.available2021-02-05T14:58:17Z
dc.identifier.issn20893191
dc.identifier.urihttp://hdl.handle.net/11407/5959
dc.descriptionThis article introduces several mathematical formulations for the joint order picking problem (JOPP) in low-level picker-to-part warehousing systems. In order to represent real warehousing environments, the proposed models minimize performance measures such as travel distance, travel time and tardiness, considering multi-block warehouses, due dates, and multiple pickers. The number of constraints and decision variables required for each proposed model is calculated, demonstrating the complexity of solving medium and long-sized problems in reasonable computing time using exact methods, so it is still recommendable to solve these JOPP using metaheuristics. The proposed models can be followed as a reference for new solution methods that yield efficient and fast solutions. © 2020, Institute of Advanced Engineering and Science. All rights reserved.
dc.language.isoeng
dc.publisherInstitute of Advanced Engineering and Science
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85083847462&doi=10.11591%2feei.v9i2.2110&partnerID=40&md5=45a85f8d85714162845a19ec2017f308
dc.sourceBulletin of Electrical Engineering and Informatics
dc.subjectBatch sequencingspa
dc.subjectMathematical programmingspa
dc.subjectOrder batchingspa
dc.subjectOrder pickingspa
dc.subjectPicker routing fourthspa
dc.titleFormulations for joint order picking problems in low-level picker-to-part systems
dc.typeArticleeng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programAdministración de Empresasspa
dc.identifier.doi10.11591/eei.v9i2.2110
dc.relation.citationvolume9
dc.relation.citationissue2
dc.relation.citationstartpage834
dc.relation.citationendpage842
dc.publisher.facultyFacultad de Ciencias Económicas y Administrativasspa
dc.affiliationCano, J.A., Faculty of Economics and Administrative Sciences, Universidad de Medellin, Carrera 87 # 30-65, Medellin, Colombia
dc.relation.referencesHenn, S., Algorithms for on-line order batching in an order picking warehouse (2012) Computers & Operations Research, 39 (11), pp. 2549-2563. , Nov
dc.relation.referencesCano, J.A., Order picking optimization based on a Picker Routing Heuristic: Minimizing total traveled distance in warehouses (2020) Handbook of Research on the Applications of International Transportation and Logistics for World Trade, pp. 74-96. , G. Ç. Ceyhun, Ed. PA, USA: IGI Global
dc.relation.referencesDe Koster, R., Le-duc, T., Roodbergen, K.J., Design and control of warehouse order picking: A literature review (2007) European Journal of Operational Research, 182 (2), pp. 481-501. , Oct
dc.relation.referencesVan Gils, T., Caris, A., Ramaekers, K., Braekers, K., Formulating and solving the integrated batching, routing, and picker scheduling problem in a real-life spare parts warehouse (2019) European Journal of Operational Research, 277 (3), pp. 814-830. , Sep
dc.relation.referencesCano, 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 (4), p. 3
dc.relation.referencesCano, J.A., Correa-espinal, A.A., Gómez-montoya, R.A., An evaluation of picking routing policies to improve warehouse efficiency (2017) International Journal of Industrial Engineering Managagement, 8 (4), pp. 229-238
dc.relation.referencesChen, T.L., Cheng, C.Y., Chen, Y.Y., Chan, L.K., An efficient hybrid algorithm for integrated order batching, sequencing and routing problem (2015) International Journal of Production Economics, 159, pp. 158-167. , Jan
dc.relation.referencesVan Gils, T., Caris, A., Ramaekers, K., Braekers, K., Formulating and solving the integrated batching, routing, and picker scheduling problem in a real-life spare parts warehouse (2019) European Journal of Operational Research, 277 (3), pp. 814-830
dc.relation.referencesAli, Z.A., Rasheed, S.A., Ali, N.N., An enhanced hybrid genetic algorithm for solving traveling salesman problem (2020) Indonesia Journal of Electrical Engineering and Computuper Science, 18 (2), pp. 1035-1039. , May
dc.relation.referencesScholz, 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) European Journal of Operational Research, 263 (2), pp. 461-478. , Dec
dc.relation.referencesCheng, 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) International Journal of Production Economics, 170, pp. 805-814. , Dec
dc.relation.referencesLin, C.-C., Kang, J.-R., Hou, C.-C., Cheng, C.-Y., Joint order batching and picker Manhattan routing problem (2016) Computers & Industrial Engineering, 95, pp. 164-174. , May
dc.relation.referencesLi, J., Huang, R., Dai, J.B., Joint optimisation of order batching and picker routing in the online retailer’s warehouse in China (2017) International Journal of Productions Research, 55 (2), pp. 447-461. , May
dc.relation.referencesGrosse, E.H., Glock, C.H., Ballester-ripoll, R., A simulated annealing approach for the joint order batching and order picker routing problem with weight restrictions (2014) International Journal of Operations and Quantitative Management, 20 (2), pp. 65-83
dc.relation.referencesMatusiak, M., De Koster, R., Saarinen, J., Utilizing individual picker skills to improve order batching in a warehouse (2017) European Journal of Operational Research, 263 (3), pp. 888-899. , Dec
dc.relation.referencesZhang, 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) Applied Mathematical Modelling., 45 (1), pp. 271-284. , May
dc.relation.referencesZhang, J., Wang, X., Huang, K., Integrated on-line scheduling of order batching and delivery under B2C e-commerce (2016) Computers & Industrial Engineering., 94 (1), pp. 280-289. , April
dc.relation.referencesArdjmand, E., Shakeri, H., Singh, M., Sanei, O., Minimizing order picking makespan with multiple pickers in a wave picking warehouse (2018) International Journal of Production Economics, 206, pp. 169-183. , Dec
dc.relation.referencesHenn, S., Order batching and sequencing for the minimization of the total tardiness in picker-to-part warehouses (2015) Flexible Services and Manufacturing Journal, 27 (1), pp. 86-114. , Mar
dc.relation.referencesHarun, S., Ibrahim, M.F., A genetic algorithm based task scheduling system for logistics service robots (2019) Bulletin of Electrical Engineering and Informatics, 8 (1), pp. 206-213. , March
dc.relation.referencesAbdul-adheem, W.R., An enhanced particle swarm optimization algorithm (2019) International Journal of Electrical and Computer Engineering, 9 (6), pp. 4904-4907. , Dec
dc.relation.referencesBaizal, Z.K.A., Lhaksmana, K.M., Rahmawati, A.A., Kirom, M., Mubarok, Z., Travel route scheduling based on user’s preferences using simulated annealing (2019) International Journal of Electrical and Computer Engineering, 9 (2), pp. 1275-1287. , April
dc.relation.referencesLenin, K., Real Power Loss Reduction by Dolphin Swarm Algorithm (2019) International Journal of Advances in Applied Sciences, 8 (4), pp. 285-289. , Dec
dc.relation.referencesValle, C.A., Beasley, J.E., da Cunha, A.S., Optimally solving the joint order batching and picker routing problem (2017) European Journal of Operational Research, 262 (3), pp. 817-834. , Nov
dc.relation.referencesScholz, A., Wäscher, G., Order Batching and Picker Routing in manual order picking systems: The benefits of integrated routing (2017) Central European Journal of Operations Research, 25 (2), pp. 491-520. , June
dc.relation.referencesMatusiak, M., De Koster, R., Kroon, L., Saarinen, J., A fast simulated annealing method for batching precedence-constrained customer orders in a warehouse (2014) European Journal of Operational Research, 236 (3), pp. 968-977. , August
dc.relation.referencesTsai, 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) International Journal of Production Research., 46 (22), pp. 6533-6555. , Nov
dc.relation.referencesZhang, J., Wang, X., Huang, K., On-line scheduling of order picking and delivery with multiple zones and limited vehicle capacity (2017) Omega, 79, pp. 104-115. , Sep
dc.relation.referencesSadiq, S.S., Abdulazeez, A.M., Haron, H., Solving multi-objective master production schedule problem using memetic algorithm (2020) Indonesian Journal of Electrical Engineering and Computer Science., 18 (2), pp. 938-945. , May
dc.relation.referencesAziz, M.A., Ninggal, I.H., Scalable workflow scheduling algorithm for minimizing makespan and failure probability (2019) Bulletin of Electrical Engineering and Informatics, 8 (1), pp. 283-290. , Mar
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article


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