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.

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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
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article

Multi-stage scheduling for sustainable manufacturing: balancing demand, resources, and social responsibility

Catherine da Cunha, Rosa Abbou, Lingxin Wang
International Journal of Dynamics and Control
Scheduling and Optimization Algorithms
article

Multi-stage scheduling for sustainable manufacturing: balancing demand, resources, and social responsibility

Catherine da Cunha, Rosa Abbou, Lingxin Wang
article en

Abstract

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.

International Journal of Dynamics and ControlVol. 13(5)
École Centrale de Nantes (FR), Centre National de la Recherche Scientifique (FR), Laboratoire des Sciences du Numérique de Nantes (FR), Nantes Université (FR)
Openalex Percentile: Top 88%
Scheduling and Optimization Algorithms
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Multi-stage scheduling for sustainable manufacturing: balancing demand, resources, and social responsibility — Catherine da Cunha, Rosa Abbou, et al. · International Journal of Dynamics and Control (2025) | TGRS Research Map | TGRS