A Mathematical Model for Supermarket Order Picking

Bibliographic Details
Main Author: Costa e Silva, Eliana
Publication Date: 2016
Other Authors: Cruz, Manuel, Lopes, Isabel Cristina, Moura, Ana
Format: Article
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/10400.22/11094
Summary: Order picking consists in retrieving products from storage locations to sat- isfy independent orders from multiple customers. It is generally recognized as one of the most significant activities in a warehouse (Koster et al, 2007). In fact, order picking accounts up to 50% (Frazelle, 2001) or even 80% (Van den Berg, 1999) of the total warehouse operating costs. The critical issue in today’s business environ- ment is to simultaneously reduce the cost and increase the speed of order picking. In this paper, we address the order picking process in one of the Portuguese largest companies in the grocery business. This problem was proposed at the 92nd European Study Group with Industry (ESGI92). In this setting, each operator steers a trolley on the shop floor in order to select items for multiple customers. The objective is to improve their grocery e-commerce and bring it up to the level of the best inter- national practices. In particular, the company wants to improve the routing tasks in order to decrease distances. For this purpose, a mathematical model for a faster open shop picking was developed. In this paper, we describe the problem, our proposed solution as well as some preliminary results and conclusions.
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spelling A Mathematical Model for Supermarket Order PickingOptimizationCapacitated vehicle routing problemInteger linear programmingOrder picking consists in retrieving products from storage locations to sat- isfy independent orders from multiple customers. It is generally recognized as one of the most significant activities in a warehouse (Koster et al, 2007). In fact, order picking accounts up to 50% (Frazelle, 2001) or even 80% (Van den Berg, 1999) of the total warehouse operating costs. The critical issue in today’s business environ- ment is to simultaneously reduce the cost and increase the speed of order picking. In this paper, we address the order picking process in one of the Portuguese largest companies in the grocery business. This problem was proposed at the 92nd European Study Group with Industry (ESGI92). In this setting, each operator steers a trolley on the shop floor in order to select items for multiple customers. The objective is to improve their grocery e-commerce and bring it up to the level of the best inter- national practices. In particular, the company wants to improve the routing tasks in order to decrease distances. For this purpose, a mathematical model for a faster open shop picking was developed. In this paper, we describe the problem, our proposed solution as well as some preliminary results and conclusions.SpringerREPOSITÓRIO P.PORTOCosta e Silva, ElianaCruz, ManuelLopes, Isabel CristinaMoura, Ana2018-03-12T16:07:14Z20162016-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/11094eng978-3-319-23413-710.1007/978-3-319-23413-7_25info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-07T10:19:57Zoai:recipp.ipp.pt:10400.22/11094Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:48:48.003423Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv A Mathematical Model for Supermarket Order Picking
title A Mathematical Model for Supermarket Order Picking
spellingShingle A Mathematical Model for Supermarket Order Picking
Costa e Silva, Eliana
Optimization
Capacitated vehicle routing problem
Integer linear programming
title_short A Mathematical Model for Supermarket Order Picking
title_full A Mathematical Model for Supermarket Order Picking
title_fullStr A Mathematical Model for Supermarket Order Picking
title_full_unstemmed A Mathematical Model for Supermarket Order Picking
title_sort A Mathematical Model for Supermarket Order Picking
author Costa e Silva, Eliana
author_facet Costa e Silva, Eliana
Cruz, Manuel
Lopes, Isabel Cristina
Moura, Ana
author_role author
author2 Cruz, Manuel
Lopes, Isabel Cristina
Moura, Ana
author2_role author
author
author
dc.contributor.none.fl_str_mv REPOSITÓRIO P.PORTO
dc.contributor.author.fl_str_mv Costa e Silva, Eliana
Cruz, Manuel
Lopes, Isabel Cristina
Moura, Ana
dc.subject.por.fl_str_mv Optimization
Capacitated vehicle routing problem
Integer linear programming
topic Optimization
Capacitated vehicle routing problem
Integer linear programming
description Order picking consists in retrieving products from storage locations to sat- isfy independent orders from multiple customers. It is generally recognized as one of the most significant activities in a warehouse (Koster et al, 2007). In fact, order picking accounts up to 50% (Frazelle, 2001) or even 80% (Van den Berg, 1999) of the total warehouse operating costs. The critical issue in today’s business environ- ment is to simultaneously reduce the cost and increase the speed of order picking. In this paper, we address the order picking process in one of the Portuguese largest companies in the grocery business. This problem was proposed at the 92nd European Study Group with Industry (ESGI92). In this setting, each operator steers a trolley on the shop floor in order to select items for multiple customers. The objective is to improve their grocery e-commerce and bring it up to the level of the best inter- national practices. In particular, the company wants to improve the routing tasks in order to decrease distances. For this purpose, a mathematical model for a faster open shop picking was developed. In this paper, we describe the problem, our proposed solution as well as some preliminary results and conclusions.
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-01-01T00:00:00Z
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dc.relation.none.fl_str_mv 978-3-319-23413-7
10.1007/978-3-319-23413-7_25
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