Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"

<p dir="ltr">The picking process within mega-warehouses is one of the most significant challenges in retail logistics, as it can account for more than 50% of the total cost of warehouse operations. In this study, we introduce the Latency Capacitated Family Traveling Salesperson Probl...

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Main Author: Saúl Domínguez-Casasola (17335153) (author)
Other Authors: josé luis gonzález velarde (13048017) (author), Yasmin Rios Solis (3909469) (author)
Published: 2025
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author Saúl Domínguez-Casasola (17335153)
author2 josé luis gonzález velarde (13048017)
Yasmin Rios Solis (3909469)
author2_role author
author
author_facet Saúl Domínguez-Casasola (17335153)
josé luis gonzález velarde (13048017)
Yasmin Rios Solis (3909469)
author_role author
dc.creator.none.fl_str_mv Saúl Domínguez-Casasola (17335153)
josé luis gonzález velarde (13048017)
Yasmin Rios Solis (3909469)
dc.date.none.fl_str_mv 2025-12-09T23:00:51Z
dc.identifier.none.fl_str_mv 10.6084/m9.figshare.28734656.v2
dc.relation.none.fl_str_mv https://figshare.com/articles/dataset/Instances_of_the_paper_The_Latency_Capacitated_Family_Traveling_Salesperson_Problem_/28734656
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Operations research
Workload latency
Mixed Integer Linear Programming
Capacitated Family Traveling Salesman Problem
Valid Inequalities
dc.title.none.fl_str_mv Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"
dc.type.none.fl_str_mv Dataset
info:eu-repo/semantics/publishedVersion
dataset
description <p dir="ltr">The picking process within mega-warehouses is one of the most significant challenges in retail logistics, as it can account for more than 50% of the total cost of warehouse operations. In this study, we introduce the Latency Capacitated Family Traveling Salesperson Problem ($p$-LCFTSP) where items to be picked and the routes of the $p$ agents must be designed to minimize system latency, defined as the cumulative load carried during the picking process. One of the findings in this research is that not only the objective function is modified with respect to previous works, but the constraints have also changed. In fact, we show that the inclusion of the load latency implies, in a compact way, the sub-tour restrictions. In addition, two families of valid inequalities are also introduced to enhance the models' linear relaxation. Experimental results with the classical benchmarks show the importance of the latency incorporation.</p><p><br></p><p dir="ltr">Instance summary: To test the performance of our models, we use the 21 FTSP instances from [1] based on the instances of the classical TSPLIB benchmark with up to 1001 nodes (https://softlib.rice.edu/tsplib.html). To generate the $p$-LCFTSP instances, we maintain the number of nodes but, depending on their size, set 3, 4, 5, or 10 different families. The demand also depends on the size of the node set and varies between 6 and 60 items. The weights are uniformly taken from [1,5]. The number of agents also depends on the node set size and goes from 1 to 11. The distance matrices are those provided by TSPLIB. Note that for the $p$-LCFTSP, the set of instances was designed to have some instances with agents of constant capacity, and the weight for all families is 1. It also has instances where the number of agents is high, but their capacities are relatively small, and vice versa. Finally, there are instances with heterogeneous capacities and different family weights. </p><p dir="ltr">[1] Morán‐Mirabal, L. F., González‐Velarde, J. L., & Resende, M. G. (2014). Randomized heuristics for the family traveling salesperson problem. <i>International Transactions in Operational Research</i>, <i>21</i>(1), 41-57.</p><table><tr> </tr><tr><td></td></tr></table><p><br></p>
eu_rights_str_mv openAccess
id Manara_b0cffca4eef9c5b362bfed3fd54d7790
identifier_str_mv 10.6084/m9.figshare.28734656.v2
network_acronym_str Manara
network_name_str ManaraRepo
oai_identifier_str oai:figshare.com:article/28734656
publishDate 2025
repository.mail.fl_str_mv
repository.name.fl_str_mv
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rights_invalid_str_mv CC BY 4.0
spelling Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"Saúl Domínguez-Casasola (17335153)josé luis gonzález velarde (13048017)Yasmin Rios Solis (3909469)Operations researchWorkload latencyMixed Integer Linear ProgrammingCapacitated Family Traveling Salesman ProblemValid Inequalities<p dir="ltr">The picking process within mega-warehouses is one of the most significant challenges in retail logistics, as it can account for more than 50% of the total cost of warehouse operations. In this study, we introduce the Latency Capacitated Family Traveling Salesperson Problem ($p$-LCFTSP) where items to be picked and the routes of the $p$ agents must be designed to minimize system latency, defined as the cumulative load carried during the picking process. One of the findings in this research is that not only the objective function is modified with respect to previous works, but the constraints have also changed. In fact, we show that the inclusion of the load latency implies, in a compact way, the sub-tour restrictions. In addition, two families of valid inequalities are also introduced to enhance the models' linear relaxation. Experimental results with the classical benchmarks show the importance of the latency incorporation.</p><p><br></p><p dir="ltr">Instance summary: To test the performance of our models, we use the 21 FTSP instances from [1] based on the instances of the classical TSPLIB benchmark with up to 1001 nodes (https://softlib.rice.edu/tsplib.html). To generate the $p$-LCFTSP instances, we maintain the number of nodes but, depending on their size, set 3, 4, 5, or 10 different families. The demand also depends on the size of the node set and varies between 6 and 60 items. The weights are uniformly taken from [1,5]. The number of agents also depends on the node set size and goes from 1 to 11. The distance matrices are those provided by TSPLIB. Note that for the $p$-LCFTSP, the set of instances was designed to have some instances with agents of constant capacity, and the weight for all families is 1. It also has instances where the number of agents is high, but their capacities are relatively small, and vice versa. Finally, there are instances with heterogeneous capacities and different family weights. </p><p dir="ltr">[1] Morán‐Mirabal, L. F., González‐Velarde, J. L., & Resende, M. G. (2014). Randomized heuristics for the family traveling salesperson problem. <i>International Transactions in Operational Research</i>, <i>21</i>(1), 41-57.</p><table><tr> </tr><tr><td></td></tr></table><p><br></p>2025-12-09T23:00:51ZDatasetinfo:eu-repo/semantics/publishedVersiondataset10.6084/m9.figshare.28734656.v2https://figshare.com/articles/dataset/Instances_of_the_paper_The_Latency_Capacitated_Family_Traveling_Salesperson_Problem_/28734656CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/287346562025-12-09T23:00:51Z
spellingShingle Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"
Saúl Domínguez-Casasola (17335153)
Operations research
Workload latency
Mixed Integer Linear Programming
Capacitated Family Traveling Salesman Problem
Valid Inequalities
status_str publishedVersion
title Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"
title_full Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"
title_fullStr Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"
title_full_unstemmed Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"
title_short Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"
title_sort Instances of the paper "The Latency Capacitated Family Traveling Salesperson Problem"
topic Operations research
Workload latency
Mixed Integer Linear Programming
Capacitated Family Traveling Salesman Problem
Valid Inequalities