Established Production Planning And Control And Its Enhancement With Sustainability

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

Against the background of the energy crisis, shortage of skilled workers, demographic change and other drivers, sustainable development is also becoming increasingly important for industrial companies. In this respect, production planning and control has an enormous influence on relevant objectives. In classical approaches of production planning and control as presented in this paper, economic-oriented objectives are taken into account to a large extent in decision making. This paper demonstrates that besides these classical models, a variety of approaches exist to influence ecological and social targets through production planning. These different models are assigned to sustainability areas and outlined by exemplary literature sources. Further research is needed, for instance, in the joint consideration of sustainability criteria along different planning levels and sustainable dimensions.

Details

OriginalspracheEnglisch
TitelProceedings of the 37th ECMS International Conference on Modelling and Simulation, ECMS 2023
Redakteure/-innenEnrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni
Herausgeber (Verlag)European Council for Modelling and Simulation
Seiten320-327
Seitenumfang8
ISBN (elektronisch)9783937436807
PublikationsstatusVeröffentlicht - 2023
Peer-Review-StatusJa

Publikationsreihe

ReiheCommunications of the ECMS
Nummer1
Band37
ISSN2522-2414

Konferenz

Titel37th ECMS International Conference on Modelling and Simulation
KurztitelECMS 2023
Veranstaltungsnummer37
Dauer20 - 23 Juni 2023
Webseite
BekanntheitsgradInternationale Veranstaltung
OrtUniversity of Florence
StadtFlorence
LandItalien

Externe IDs

Mendeley 9eed8998-0df7-3c0f-8236-8f5e7c3497b7

Schlagworte

ASJC Scopus Sachgebiete

Schlagwörter

  • Ecological, Hierarchical Production Planning, Social, Sustainability, Markov Chain, Power consumption analysis, Stochastic modeling, Performance, Multi-Objective Optimization, DVFS