Dealing with the storage location assignment problem with precedence constraints

Maria A. M. Trindade; Maria R. A. Moreira; Paulo S. A. Sousa

Dealing with the storage location assignment problem with precedence constraints

Maria A. M. Trindade^*, Maria R. A. Moreira, Paulo S. A. Sousa

^*Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper proposes a zero-one quadratic assignment model for dealing with the storage location assignment problem when there are weight constraints. Our analysis shows that operations can be improved using our model. When comparing the strategy currently used in a real-life company with the designed model, we found that the new placement of products allowed a reduction of up to 22% on the picking distance. This saving is higher than that achieved with the creation of density zones, a procedure commonly used to deal with weight constraints, according to the literature.

Original language	English
Pages	437-446
Number of pages	10
Publication status	Published - 28 Jun 2020
Event	EurOMA Conference 2020: Managing Operations for Impact - Birmingham, United Kingdom Duration: 29 Jun 2020 → 30 Jun 2020

Conference

Conference	EurOMA Conference 2020
Country/Territory	United Kingdom
City	Birmingham
Period	29/06/20 → 30/06/20

Keywords

Storage location assignment problem (SLAP)
Correlated policy
Precedence constraints

Access to Document

44946394Final published version, 258 KBLicence: Unspecified

http://hdl.handle.net/10400.14/47496Licence: Unspecified

CEGE: Research Center in Management and Economics
Silva, M. (Full Professor), Sousa, R. (Full Professor), Alves, P. (Assistant Professor), Madsen, A. (Invited Assistant Professor), Lourenço, A. (Associate Professor), Carvalho, A. S. (Associate Professor), Andrade, A. (Assistant Professor), Silva, P. D. (Associate Professor), Vlačić, B. (Invited Assistant Professor), Martins, C. (Invited Assistant Professor), Gomes, C. (Auxiliary Researcher), Gevrek, Z. E. (Invited Assistant Professor), Oliveira, F. G. D. (Associate Professor), Faria, G. (Invited Associate Professor), Marreiros, H. (Scholarship holder), Pinho, J. (Invited Assistant Professor), Machado, J. (Associate Professor), Araújo, J. (Auxiliary Researcher), Pinto, J. (Assistant Professor), Rego, A. (Full Professor), Gaspar, J. M. (Auxiliary Researcher), Corbo, L. (Invited Assistant Professor), Costa, L. (Associate Professor), Fernandes, L. (Assistant Professor), Sottomayor, M. (Assistant Professor), Martins, N. (Full Professor), Hernández-Marrero, P. (Auxiliary Researcher), Gonçalves, R. (Associate Professor), Ribeiro, R. (PI), Coelho, S. L. (Assistant Teacher), Pereira, S. M. (Auxiliary Researcher), Silva, S. (Associate Professor), Rodrigues, V. (Associate Professor), Sotiros, D. G. (Auxiliary Researcher), Valverde, C. (Assistant Professor), Leitão, A. (Assistant Professor), Julião, J. (Assistant Professor), Tavares, M. (Assistant Professor), Lages, C. R. (Auxiliary Researcher), Elmashhara, M. G. (Auxiliary Researcher) & Teymourifar, A. (Auxiliary Researcher)
1/01/20 → 31/12/24
Project: Other

Cite this

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title = "Dealing with the storage location assignment problem with precedence constraints",

abstract = "This paper proposes a zero-one quadratic assignment model for dealing with the storage location assignment problem when there are weight constraints. Our analysis shows that operations can be improved using our model. When comparing the strategy currently used in a real-life company with the designed model, we found that the new placement of products allowed a reduction of up to 22% on the picking distance. This saving is higher than that achieved with the creation of density zones, a procedure commonly used to deal with weight constraints, according to the literature. ",

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author = "Trindade, {Maria A. M.} and Moreira, {Maria R. A.} and Sousa, {Paulo S. A.}",

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Y1 - 2020/6/28

N2 - This paper proposes a zero-one quadratic assignment model for dealing with the storage location assignment problem when there are weight constraints. Our analysis shows that operations can be improved using our model. When comparing the strategy currently used in a real-life company with the designed model, we found that the new placement of products allowed a reduction of up to 22% on the picking distance. This saving is higher than that achieved with the creation of density zones, a procedure commonly used to deal with weight constraints, according to the literature.

AB - This paper proposes a zero-one quadratic assignment model for dealing with the storage location assignment problem when there are weight constraints. Our analysis shows that operations can be improved using our model. When comparing the strategy currently used in a real-life company with the designed model, we found that the new placement of products allowed a reduction of up to 22% on the picking distance. This saving is higher than that achieved with the creation of density zones, a procedure commonly used to deal with weight constraints, according to the literature.

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KW - Correlated policy

KW - Precedence constraints

M3 - Paper

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T2 - EurOMA Conference 2020

Y2 - 29 June 2020 through 30 June 2020

ER -

Dealing with the storage location assignment problem with precedence constraints

Abstract

Conference

Keywords

Access to Document

Fingerprint

Projects

CEGE: Research Center in Management and Economics

Cite this