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Naslov:A imatheuristic approach combining genetic algorithm and mixed integer linear programming model for production and distribution planning in the supply chain
Avtorji:ID Guzman, E. (Avtor)
ID Poler, Raúl (Avtor)
ID Andres, B. (Avtor)
Datoteke:.pdf APEM18-1_019-031.pdf (778,79 KB)
MD5: 7765E74A0A5F0EC6ACA6F4136261648A
 
URL https://apem-journal.org/Archives/2023/Abstract-APEM18-1_019-031.html
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Opis:A number of research studies have addressed supply chain planning from various perspectives (strategical, tactical, operational) and demonstrated the advantages of integrating both production and distribution planning (PDP). The globalisation of supply chains and the fourth industrial revolution (Industry 4.0) mean that companies must be more agile and resilient to adapt to volatile demand, and to improve their relation with customers and suppliers. Hence the growing interest in coordinating production-distribution processes in supply chains. To deal with the new market’s requirements and to adapt business processes to industry’s regulations and changing conditions, more efforts should be made towards new methods that optimise PDP processes. This paper proposes a matheuristic approach for solving the PDP problem. Given the complexity of this problem, combining a genetic algorithm and a mixed integer linear programming model is proposed. The matheuristic algorithm was tested using the Coin-OR Branch & Cut open-source solver. The computational outcomes revealed that the presented matheuristic algorithm may be used to solve real sized problems. idance for large group enterprises to carry out centralized procurement management.
Ključne besede:production and distribution planning, supplay chain, matheuristic, genetic algorithm, mixed integer linear programming model
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:29.04.2022
Datum sprejetja članka:27.12.2022
Datum objave:29.03.2023
Založnik:Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering
Leto izida:2023
Št. strani:str. 19-31
Številčenje:Vol. 18, no. 1
PID:20.500.12556/DKUM-96991 Novo okno
UDK:658.5
COBISS.SI-ID:267807747 Novo okno
DOI:10.14743/apem2023.1.454 Novo okno
ISSN pri članku:1854-6250
Avtorske pravice:Content from 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:10.02.2026
Število ogledov:152
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:the Conselleria de Educación, Investigación, Cultura y Deporte - Generalitat Valenciana
Program financ.:Hiring predoctoral research staff
Številka projekta:ACIF/2018/170

Financer:European Social Fund
Program financ.:Grant Operational Program of FSE 2014-2020, the Valencian Community

Financer:EC - European Commission
Program financ.:European Union H2020 Programme
Številka projekta:No. 958205
Naslov:"Industrial Data Services for Quality Control in Smart Manufacturing" (i4Q)

Financer:the Regional Department of Innovation, Universities, Science and Digital Society of the Generalitat Valenciana
Številka projekta:Ref. PRO- METEO/ 2021/065
Naslov:"Industrial Production and Logistics Optimization in Industry 4.0" (i4OPT)

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:dobavna veriga, matevristika, genetski algoritmi


Zbirka

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

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