Detalles MARC
| 000 -CABECERA |
| campo de control de longitud fija |
05011nam a22003615i 4500 |
| 001 - NÚMERO DE CONTROL |
| campo de control |
238424 |
| 003 - IDENTIFICADOR DEL NÚMERO DE CONTROL |
| campo de control |
ES-VaUE |
| 005 - FECHA Y HORA DE LA ÚLTIMA TRANSACCIÓN |
| campo de control |
20240423184925.0 |
| 006 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA--CARACTERÍSTICAS DEL MATERIAL ADICIONAL |
| campo de control de longitud fija |
a||||fo|||| 00| 0 |
| 007 - CAMPO FIJO DE DESCRIPCIÓN FÍSICA--INFORMACIÓN GENERAL |
| campo de control de longitud fija |
cr nn 008mamaa |
| 008 - DATOS DE LONGITUD FIJA--INFORMACIÓN GENERAL |
| campo de control de longitud fija |
230521s2023 si | o |||| 0|eng d |
| 020 ## - NÚMERO INTERNACIONAL ESTÁNDAR DEL LIBRO |
| Número Internacional Estándar del Libro |
9789811980121 |
| 024 7# - IDENTIFICADOR DE OTROS ESTÁNDARES |
| Número estándar o código |
10.1007/978-981-19-8012-1 |
| Fuente del número o código |
doi |
| 040 ## - FUENTE DE LA CATALOGACIÓN |
| Centro catalogador/agencia de origen |
ES-VaUEC |
| Lengua de catalogación |
spa |
| Centro/agencia transcriptor |
ES-VaUEC |
| Centro/agencia modificador |
ES-VaUE |
| 050 #4 - SIGNATURA TOPOGRÁFICA DE LA BIBLIOTECA DEL CONGRESO |
| Número de clasificación |
T57.6 |
| Número de documento/Ítem |
2023 EB |
| 245 00 - MENCIÓN DE TÍTULO |
| Título |
Applications of Operational Research in Business and Industries : |
| Resto del título |
Proceedings of 54th Annual Conference of ORSI |
| Mención de responsabilidad, etc. |
edited by Angappa Gunasekaran, Jai Kishore Sharma, Samarjit Kar |
| 250 ## - MENCIÓN DE EDICIÓN |
| Mención de edición |
1st ed 2023 |
| 264 #1 - PRODUCCIÓN, PUBLICACIÓN, DISTRIBUCIÓN, FABRICACIÓN Y COPYRIGHT |
| Producción, publicación, distribución, fabricación y copyright |
Singapore |
| Fecha de producción, publicación, distribución, fabricación o copyright |
2023 |
| Nombre del de productor, editor, distribuidor, fabricante |
Springer International Publishing |
| 300 ## - DESCRIPCIÓN FÍSICA |
| Extensión |
1 recurso en línea |
| 336 ## - TIPO DE CONTENIDO |
| Término de tipo de contenido |
texto |
| Código de tipo de contenido |
txt |
| Fuente |
rdacontent |
| 337 ## - TIPO DE MEDIO |
| Nombre/término del tipo de medio |
electrónico |
| Código del tipo de medio |
c |
| Fuente |
rdamedia |
| 338 ## - TIPO DE SOPORTE |
| Nombre/término del tipo de soporte |
recurso electrónico |
| Código del tipo de soporte |
cr |
| Fuente |
rdacarrier |
| 490 0# - MENCIÓN DE SERIE |
| Mención de serie |
Lecture Notes in Operations Research |
| Número Internacional Normalizado para Publicaciones Seriadas |
2731-0418 |
| 505 0# - NOTA DE CONTENIDO CON FORMATO |
| Nota de contenido con formato |
Chapter 1: Optimization of an inventory model with demand dependent on selling price and stock, nonlinear holding cost along with trade credit policy -- Chapter 2: Software Defect Prediction Through a Hybrid Approach Comprising of a Statistical Tool and a Machine Learning Model -- Chapter 3: Conservation of a prey species through optimal taxation: a model with Beddington-DeAngelis Functional Response -- Chapter 4: Investigate the reason for students' absenteeism in Engineering College in Fuzzy MCDM environment -- Chapter 5: Optimal inventory management policies for substitutable products considering non-instantaneous decay and cost of substitution. . |
| 520 ## - SUMARIO, ETC. |
| Sumario, etc. |
Effective decision-making while trading off the constraints and conflicting multiple objectives under rapid technological developments, massive generation of data, and extreme volatility is of paramount importance to organizations to win over the time-based competition today. While agility is a crucial issue, the firms have been increasingly relying on evidence-based decision-making through intelligent decision support systems driven by computational intelligence and automation to achieve a competitive advantage. The decisions are no longer confined to a specific functional area. Instead, business organizations today find actionable insight for formulating future courses of action by integrating multiple objectives and perspectives. Therefore, multi-objective decision-making plays a critical role in businesses and industries. In this regard, the importance of Operations Research (OR) models and their applications enables the firms to derive optimum solutions subject to various constraints and/or objectives while considering multiple functional areas of the organizations together. Hence, researchers and practitioners have extensively applied OR models to solve various organizational issues related to manufacturing, service, supply chain and logistics management, human resource management, finance, and market analysis, among others. Further, OR models driven by AI have been enabled to provide intelligent decision-support frameworks for achieving sustainable development goals. The present issue provides a unique platform to showcase the contributions of the leading international experts on production systems and business from academia, industry, and government to discuss the issues in intelligent manufacturing, operations management, financial management, supply chain management, and Industry 4.0 in the Artificial Intelligence era. Some of the general (but not specific) scopes of this proceeding entail OR models such as Optimization and Control, Combinatorial Optimization, Queuing Theory, Resource Allocation Models, Linear and Nonlinear Programming Models, Multi-objective and multi-attribute Decision Models, Statistical Quality Control along with AI, Bayesian Data Analysis, Machine Learning and Econometrics and their applications vis-à-vis AI & Data-driven Production Management, Marketing and Retail Management, Financial Management, Human Resource Management, Operations Management, Smart Manufacturing & Industry 4.0, Supply Chain and Logistics Management, Digital Supply Network, Healthcare Administration, Inventory Management, consumer behavior, security analysis, and portfolio management and sustainability. The present issue shall be of interest to the faculty members, students, and scholars of various engineering and social science institutions and universities, along with the practitioners and policymakers of different industries and organizations. |
| 988 ## - NOTA LOCAL 598 |
| Nota local 598 (boletines) |
Springer_Business_2023 |
| 650 #7 - PUNTO DE ACCESO ADICIONAL DE MATERIA--TÉRMINO DE MATERIA |
| Fuente del encabezamiento o término |
embne |
| 9 (RLIN) |
6736 |
| Término de materia o nombre geográfico como elemento de entrada |
Análisis de sistemas |
| Subdivisión de forma |
Congresos y asambleas |
| 856 40 - LOCALIZACIÓN Y ACCESO ELECTRÓNICOS |
| Identificador Uniforme del Recurso |
https://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-8012-1 |
| Nota pública |
Acceso a este recurso digital (usuarios Universidad Europea de Valencia) |
| 942 ## - ELEMENTOS DE PUNTO DE ACCESO ADICIONAL (KOHA) |
| Fuente del sistema de clasificación o colocación |
Library of Congress Classification |
| Tipo de ítem Koha |
LIBRO-E NO PRÉSTAMO |
| Suprimir en OPAC |
No |
| 998 ## - DATOS ESTADÍSTICOS |
| Fecha de catalogación |
02/2024 |
| Tipo de materia |
E-book |
| Catalogador |
CRISTINA POLO |
| Catalogado |
Sí |