Established Production Planning And Control And Its Enhancement With Sustainability

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

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

Original languageEnglish
Title of host publicationProceedings of the 37th ECMS International Conference on Modelling and Simulation, ECMS 2023
EditorsEnrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni
PublisherEuropean Council for Modelling and Simulation
Pages320-327
Number of pages8
ISBN (electronic)9783937436807
Publication statusPublished - 2023
Peer-reviewedYes

Publication series

SeriesCommunications of the ECMS
Number1
Volume37
ISSN2522-2414

Conference

Title37th ECMS International Conference on Modelling and Simulation
Abbreviated titleECMS 2023
Conference number37
Duration20 - 23 June 2023
Website
Degree of recognitionInternational event
LocationUniversity of Florence
CityFlorence
CountryItaly

External IDs

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

Keywords

ASJC Scopus subject areas

Keywords

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