INVESTIGADORES
FRUTOS Mariano
artículos
Título:
SPECIAL ISSUE: MATHEMATICAL PROBLEMS IN PRODUCTION RESEARCH
Autor/es:
DANIEL A. ROSSIT; FERNANDO TOHMÉ; MÁXIMO MÉNDEZ; MARIANO FRUTOS; DIEGO BROZ; DIEGO G. ROSSIT
Revista:
MATHEMATICAL BIOSCIENCES AND ENGINEERING
Editorial:
AIMS PRESS
Referencias:
Año: 2022 vol. 19 p. 9291 - 9294
ISSN:
1551-0018
Resumen:
Production Research has contributed substantially to improve current social life, giving guidelines for the efficient provision of goods, services and food. Production processes encompass a number of procedures at different stages, giving rise to a large number of problems, that can be naturally addressed using engineering and mathematics tools. These problems arise in different contexts, involving the supply chain, human resources management, prices, planning, etc. The contributions to this Special Issue present different advances and developments in the field of production research grounded on sound mathematical approaches. This Special Issue is an outlet for contributions presented at the ICPR-Americas 2020 international conference, which took place in December 2020 in virtual form, hosted by the Universidad Nacional del Sur in Bahía Blanca, Argentina. During that conference, more than 200 articles were presented by authors from all over the Americas as well as from other regions of the world. A selected number of the papers presented at ICPR-Americas 2020 have been included in this Special Issue. Other members of the scientific community have also contributed to this Special Issue by submitting their papers. All the articles published here have been evaluated accordingly to the high standards of this journal by renowned experts in the field. These articles address a wide spectrum of problems associated with production, including some arising in production planning, personnel management, logistical or energy problems and recycling, among others. The common features of all of them is the emphasis on decision-making processes and on finding optimal or efficient solutions to the aforementioned problems by using mathematical programming and evolutionary computing, among other approaches.
