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Naslov:Hybrid forecasting modelling of cost and time entities for planning and optimizing projects in the die-cast aluminium industry
Avtorji:ID Muñoz-Ibañez, C. (Avtor)
ID Chairez, I. (Avtor)
ID Jimenez-Martinez, M. (Avtor)
ID Molina, Arturo (Avtor)
ID Alfaro-Ponce, M. (Avtor)
Datoteke:.pdf APEM18-2_163-174.pdf (920,28 KB)
MD5: 4DD374607AE2063FDFAA125689302831
 
URL https://apem-journal.org/Archives/2023/Abstract-APEM18-2_163-174.html
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:The techniques employed to manage an industrial project are based on tools that aim to achieve the objectives set by an organization. Most of these techniques consider the development of operative and predictive models. The difficulty in developing project planning models relies on estimating large sets of parameters and the need to include model sections of poorly identifiable, that increase costs and time. This work develops a hybrid forecasting model for all the phases that make up die-casting projects through a series of parameters and sub-models that contemplate the particularities of each case, thereby achieving greater precision in the forecast. The model identifies the cost and time factors that affect project planning, specifically in the die-casting industry, and intends to predict their future behaviour when certain initially given conditions are modified. To estimate the parameters of the hybrid model, several factors in the processes were considered that interact in this industry, such as primary matter costs and activities associated to the process. The considered processes that have a substantial economic impact on the implementation of the project were selected. The criteria for this selection considered identifying the relevant parts of the design and manufacturing in the die-casting industry. Process factors such as the Cost of aluminium and its related activities, whose processes will be grouped into cost and time entities to build a set of metrics that allow better control over them. Finally, the proposed model is based on analytical, parametric, and analog methods that achieve accuracy greater than 85 % in predicting the time and Cost of the process.
Ključne besede:hybrid models, entity modelling, project planning, forecating models, aluminium die-casting, cost factors, time factors, optimization
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:05.05.2023
Datum sprejetja članka:19.06.2023
Datum objave:23.07.2023
Založnik:Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering
Leto izida:2023
Št. strani:str. 163-174
Številčenje:Vol. 18, no. 2
PID:20.500.12556/DKUM-97041 Novo okno
UDK:621
COBISS.SI-ID:268255747 Novo okno
DOI:10.14743/apem2023.2.464 Novo okno
ISSN pri članku:1854-6250
Avtorske pravice:Content form this work may be used under the terms of the Creative Commons Attribution 4.0 International Licence (CC BY 4.0). Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Datum objave v DKUM:13.02.2026
Število ogledov:133
Število prenosov:3
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Advances in production engineering & management
Skrajšan naslov:Adv produc engineer manag
Založnik:Fakulteta za strojništvo, Inštitut za proizvodno strojništvo
ISSN:1854-6250
COBISS.SI-ID:229859072 Novo okno

Gradivo je financirano iz projekta

Financer:Drugi - Drug financer ali več financerjev
Program financ.:the Tecnologico de Monterrey seed founding program
Številka projekta:IJXT070-22TE60001; IKXT025-22UI60001

Financer:Consejo Mexiquense de Ciencia y Tecnología
Program financ.:PROGRAMA PARA LA VINCULACIÓN DE EMPRESAS CON INSTITUCIONES DE EDUCACION SUPERIOR Y CENTROS DE INVESTIGACIÓN COMECYT-EDOMEX CONVOCATORIA 2023
Številka projekta:34544

Financer:Industrias MAR-ROB S.A. de C.V

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:hibridni modeli, projektno planiranje, optimizacija


Zbirka

To gradivo je del naslednjih zbirk del:
  1. Advances in production engineering & management

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