dor_id: 45642

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Journal of Applied Research and Technology", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Scopus, Directory of Open Access Journals (DOAJ); Sistema Regional de Información en Línea para Revistas Científicas de América Latina, el Caribe, España y Portugal (Latindex); Indice de Revistas Latinoamericanas en Ciencias (Periódica); La Red de Revistas Científicas de América Latina y el Caribe, España y Portugal (Redalyc); Consejo Nacional de Ciencia y Tecnología (CONACyT); Google Scholar Citation

561.#.#.u: https://www.icat.unam.mx/

650.#.4.x: Ingenierías

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: https://jart.icat.unam.mx/index.php/jart

351.#.#.b: Journal of Applied Research and Technology

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: https://jart.icat.unam.mx/index.php/jart/article/view/287/284

100.1.#.a: Ke, C. K.

524.#.#.a: Ke, C. K. (2013). Research on Optimized Problem-solving Solutions: Selection of the Production Process. Journal of Applied Research and Technology; Vol. 11 Núm. 4. Recuperado de https://repositorio.unam.mx/contenidos/45642

245.1.0.a: Research on Optimized Problem-solving Solutions: Selection of the Production Process

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Ciencias Aplicadas y Tecnología, UNAM

264.#.0.c: 2013

264.#.1.c: 2013-08-01

653.#.#.a: Problem-solving; context-based utility model; multi-criteria decision analysis; ELECTRE; adaptive knowledge recommendation

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico gabriel.ascanio@icat.unam.mx

884.#.#.k: https://jart.icat.unam.mx/index.php/jart/article/view/287

001.#.#.#: 074.oai:ojs2.localhost:article/287

041.#.7.h: eng

520.3.#.a: In manufacturing industries, various problems may occur during the production process. The problems are complexand involve the relevant context of working environments. A problem-solving process is often initiated to create asolution and achieve a desired status. In this process, determining how to obtain a solution from the variouscandidate solutions is an important issue. In such uncertain working environments, context information can providerich clues for problem-solving decision making. This work uses a selection approach to determine an optimizedproblem-solving process which will assist workers in choosing reasonable solutions. A context-based utility modelexplores the problem context information to obtain candidate solution actual utility values; a multi-criteria decisionanalysis uses the actual utility values to determine the optimal selection order for candidate solutions. Theselection order is presented to the worker as an adaptive knowledge recommendation. The worker chooses areasonable problem-solving solution based on the selection order. This paper uses a high-tech company’sknowledge base log as a source of analysis data. The experimental results show that the chosen approach to anoptimized problem-solving solution selection is effective. The contribution of this research is a method which iseasy to implement in a problem-solving decision support system.

773.1.#.t: Journal of Applied Research and Technology; Vol. 11 Núm. 4

773.1.#.o: https://jart.icat.unam.mx/index.php/jart

022.#.#.a: ISSN electrónico: 2448-6736; ISSN: 1665-6423

310.#.#.a: Bimestral

264.#.1.b: Instituto de Ciencias Aplicadas y Tecnología, UNAM

doi: https://doi.org/10.1016/S1665-6423(13)71559-1

harvesting_date: 2023-11-08 13:10:00.0

856.#.0.q: application/pdf

last_modified: 2024-03-19 14:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

_deleted_conflicts: 2-38e31f9a9897e5154e56d242da41a8b0

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