Nucamendi-Guillén, Samuel
Main Affiliation
Preferred name
Nucamendi-Guillén, Samuel
Official Name
Nucamendi Guillén, Samuel Moisés
ORCID
0000-0003-4169-3395
Researcher ID
M-8732-2018
Scopus Author ID
57191972691
39 results
Now showing 1 - 10 of 39
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Item type:Publication, The unrelated parallel machine scheduling problem with sequence and machine dependent setup times and a shared resource without overlap(Elsevier BV, 2025); 13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, An improved LINMAP for multicriteria decision: designing customized incentive portfolios in an organization(2022); 1 1Scopus© Citations 8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Formulation for the Stochastic Multi-Mode Resource-Constrained Project Scheduling Problem Solved with a Multi-Start Iterated Local Search Metaheuristic(MDPI, 2023); ; <jats:p>This research introduces a stochastic version of the multi-mode resource-constrained project scheduling problem (MRCPSP) and its mathematical model. In addition, an efficient multi-start iterated local search (MS-ILS) algorithm, capable of solving the deterministic MRCPSP, is adapted to deal with the proposed stochastic version of the problem. For its deterministic version, the MRCPSP is an NP-hard optimization problem that has been widely studied. The problem deals with a trade-off between the amount of resources that each project activity requires and its duration. In the case of the proposed stochastic formulation, the execution times of the activities are uncertain. Benchmark instances of projects with 10, 20, 30, and 50 activities from well-known public libraries were adapted to create test instances. The adapted algorithm proved to be capable and efficient for solving the proposed stochastic problem.</jats:p>11 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A multi‐objective sustainable closed‐loop supply chain network problem with hybrid facilities(2024); ; ; Julie Drzymalski<jats:title>Abstract</jats:title><jats:p>A sustainable closed‐loop supply chain network requires conjunctive implementation of reverse logistics in the supply chain, with decisions that consider economic, environmental, and social factors. In real life, the problem needs to be addressed by prioritizing targets or interacting between them to give a range of solutions to the decision maker. In this context, this work proposes a novel multi‐objective sustainable closed‐loop supply chain network problem based on the revised network design model with hybrid recovery centers minimizing (1) the total economic cost, (2) the CO<jats:sub>2</jats:sub> emission of vehicles used, and (3) the total obnoxious distance. The latter objective is a novel implementation of the social dimension of a sustainable model. A sensitivity analysis of the multi‐objective model is developed through ANOVA. A dataset of instances was generated to test the model and the solution methods, which are configured with AUGMECON2, a linear programming relaxation implemented to improve the CPU time, and AUGMECON2‐EXTENDED to obtain more solutions to avoid exploring all space of the solution. The results show that an AUGMECON2‐EXTENDED implementation outperforms all the selected performance metrics. These performance metrics include NPS, CPU time, RPOS, QM, and HV. The results show an improvement on average of at least , , , , and , respectively, in those metrics, in comparison to other implementations.</jats:p>Scopus© Citations 11 29 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Exact and Metaheuristic Approaches for Unrelated Parallel Machine Scheduling with Sequence-Dependent Setups and Shared Resources(SCITEPRESS - Science and Technology Publications, 2026); 22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A discrete bilevel brain storm algorithm for solving a sales territory design problem: a case study(2018); 1Scopus© Citations 8 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Cumulative Capacitated Vehicle Routing Problem with Profits Under Uncertainty(2019); 1 12Scopus© Citations 8 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The latency location routing problem with split deliveries: mathematical formulation and metaheuristic algorithm(2024); 5 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A location-routing problem for local supply chains(2023); Yajaira Cardona-ValdésScopus© Citations 5 1 22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 1 29