Multi-stage scheduling for sustainable manufacturing: balancing demand, resources, and social responsibility
Abstract The article presents a hierarchical scheduling decision model aimed at optimizing production planning. Fluctuating demand, limited resources, sustainability goals and the opportunity to negotiate the volume, due date, and composition of the order are the considered constraints. The proposed model is structured into three interconnected levels, each addressing distinct aspects of production planning: demand feasibility, resource allocation, and daily scheduling adjustments. The proposed methodology was tested in a case study involving a Chinese medical device manufacturer. Significant improvements in key performance indicators were observed: increased production efficiency, reduced idle time, and better utilization of resources. Furthermore, the new scheduling model allowed the company to handle a greater variety of orders without increasing labor demands.
Authors
- Catherine da Cunha (ORCID: https://orcid.org/0000-0002-1330-8384)
- Rosa Abbou (ORCID: https://orcid.org/0000-0002-0728-5729)
- Lingxin Wang
Institutions
- École Centrale de Nantes (FR)
- Centre National de la Recherche Scientifique (FR)
- Laboratoire des Sciences du Numérique de Nantes (FR)
- Nantes Université (FR)
Publication Details
- Journal
- International Journal of Dynamics and Control
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1007/s40435-025-01694-7
- Primary Topic
- Scheduling and Optimization Algorithms
- Type
- article
- Field-Weighted Citation Impact
- 0.00