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
38 results
Now showing 1 - 10 of 38
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Mixed Integer Formulation and an NSGA-II for the Cumulative Capacitated Vehicle Routing Problem With Priority Indexes(Institute of Electrical and Electronics Engineers (IEEE), 2025); ; - 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); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The multi-depot open location routing problem with a heterogeneous fixed fleet(2021); ; J. Marcos Moreno-VegaScopus© Citations 27 9 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 9 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, The Capacitated Lot Sizing Problem with Batch Ordering: A MILP and Heuristic Approach(2019); ; 5 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Systematic Review of Literature on Lean and Six Sigma in Healthcare and Directions for Future Research(IEOM Society International, 2020); 34 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Linking Lean Adoption and Implementation in Healthcare to National Cultures(2021); Heriberto García-Reyes<jats:p>Lean Healthcare (LHC) is a widely accepted approach to improve the quality of care around the world. This research compares two studies, which evaluated the adoption/implementation of LHC in Finland and Mexico, to understand how cultural similarities/differences influence LHC implementations. Data were gathered from previous questionnaire-based studies administered to healthcare professionals in both countries. Statistics (X2, p, and Wilcoxon tests) are used to compare both studies across topics related to adoption, introduction, integration, success, and barriers of LHC projects, and results are linked to cultural dimensions. Driven by economic savings, LHC has been more adopted in Finland than in Mexico (75/13%). Upon introduction, similarities are found in the way LHC projects are conducted, high project success rate, poor level of integration, and enabling/disabling factors. Conversely, differences were mainly found in the objectives of implementing LHC. These similarities/differences are linked to national factors involving culture, social structure, uncertainty management, time orientation, and indulgence level. In particular, uncertainty avoidance, equal rights’ structure, and a feminine culture are positive for implementing Lean. These findings can be a benchmark to evaluate cultural practices. Thus, this study provides insight into how national cultures relate to LHC and determined distinctive sociotechnical aspects that influence its adoption/implementation.</jats:p>Scopus© Citations 2 8 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, New formulations and solution approaches for the latency location routing problem(2022); Scopus© Citations 11 6 2 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 29 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Memetic Algorithm for the Cumulative Capacitated Vehicle Routing Problem Including Priority Indexes(2020); ; <jats:p>This paper studies the Cumulative Capacitated Vehicle Routing Problem, including Priority Indexes, a variant of the classical Capacitated Vehicle Routing Problem, which serves the customers according to a certain level of preference. This problem can be effectively implemented in commercial and public environments where customer service is essential, for instance, in the delivery of humanitarian aid or in waste collection systems. For this problem, we aim to minimize two objectives simultaneously, the total latency and the total tardiness of the system. A Mixed Integer formulation is developed and solved using the AUGMECON2 approach to obtain true efficient Pareto fronts. However, as expected, the use of commercial software was able to solve only small instances, up to 15 customers. Therefore, two versions of a Memetic Algorithm with Random Keys (MA-RK) were developed to solve the problem. The computational results show that both algorithms provided good solutions, although the second version obtained denser and higher quality Pareto fronts. Later, both algorithms were used to solve larger instances (20–100 customers). The results were mixed in terms of quality but, in general, the MA-RK v2 consistently outperforms the first version. The models and algorithms proposed in this research provide useful insights for the decision-making process and can be applied to solve a wide variety of business situations where economic, customer service, environmental, and social concerns are involved.</jats:p>Scopus© Citations 14 11 1