Established Production Planning And Control And Its Enhancement With Sustainability
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-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 language | English |
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Title of host publication | Proceedings of the 37th ECMS International Conference on Modelling and Simulation, ECMS 2023 |
Editors | Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni |
Publisher | European Council for Modelling and Simulation |
Pages | 320-327 |
Number of pages | 8 |
ISBN (electronic) | 9783937436807 |
Publication status | Published - 2023 |
Peer-reviewed | Yes |
Publication series
Series | Communications of the ECMS |
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Number | 1 |
Volume | 37 |
ISSN | 2522-2414 |
Conference
Title | 37th ECMS International Conference on Modelling and Simulation |
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Abbreviated title | ECMS 2023 |
Conference number | 37 |
Duration | 20 - 23 June 2023 |
Website | |
Degree of recognition | International event |
Location | University of Florence |
City | Florence |
Country | Italy |
External IDs
Mendeley | 9eed8998-0df7-3c0f-8236-8f5e7c3497b7 |
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Keywords
ASJC Scopus subject areas
Keywords
- Ecological, Hierarchical Production Planning, Social, Sustainability, Markov Chain, Power consumption analysis, Stochastic modeling, Performance, Multi-Objective Optimization, DVFS