Publicação
Multi-Project Scheduling for Industrialization Projects: an approach to exploit resource flexibility
| Resumo: | In today’s competitive industrial landscape, organizations increasingly manage multiple concurrent projects that share limited resources and face dynamic execution conditions. These environments are characterized by uncertainty, fluctuating workloads, and stringent delivery deadlines, making effective scheduling a critical challenge. Traditional scheduling techniques such as the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT), although widely used, assume fixed activity durations and stable resource availability. Consequently, these methods fall short when applied to multiproject settings with resource interdependencies and unexpected changes. This research addresses the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP) by proposing an integrated scheduling framework that exploits resource flexibility. The approach introduces Work Content (WC) modeling, where activities are defined by required effort rather than fixed durations. This enables task durations to adapt dynamically to allocated resources, offering greater responsiveness to execution changes. The proposed framework is implemented through a mathematical optimization model combined with a heuristic algorithm, which jointly form the basis of a scheduling tool. This tool constructs feasible, resource-aware schedules that account for project constraints, including precedence relationships and Quality-Gate (QGC) milestones, while balancing workloads among Project Managers (PjMs). Compression and decompression techniques are applied to dynamically adjust activity durations, ensuring milestone compliance even under changing conditions. The research follows the Design Science Research (DSR) paradigm, incorporating a Systematic Literature Review (SLR), conceptual modeling, and development of the computational tool. Validation was conducted through a real-world case study at Bosch Car Multimedia, where the proposed solution was applied to actual multi-project scenarios. Results demonstrate that integrating WC-based modeling with resource flexibility and adaptive scheduling significantly enhances resource utilization, and strengthens control over project execution compared to traditional approaches. |
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| Autores principais: | Aghileh, Marzieh |
| Assunto: | Resource Allocation Resource-Constrained Multi-Project Scheduling Problem (RCMPSP) Resource Flexibility Scheduling Alocação de Recursos Escalonamento Flexibilidade de Recursos Problema de Escalonamento de Múltiplos Projetos com Restrição de Recursos (RCMPSP) Engenharia e Tecnologia::Outras Engenharias e Tecnologias |
| Ano: | 2026 |
| País: | Portugal |
| Tipo de documento: | tese de doutoramento |
| Tipo de acesso: | acesso embargado |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | In today’s competitive industrial landscape, organizations increasingly manage multiple concurrent projects that share limited resources and face dynamic execution conditions. These environments are characterized by uncertainty, fluctuating workloads, and stringent delivery deadlines, making effective scheduling a critical challenge. Traditional scheduling techniques such as the Critical Path Method (CPM) and Program Evaluation and Review Technique (PERT), although widely used, assume fixed activity durations and stable resource availability. Consequently, these methods fall short when applied to multiproject settings with resource interdependencies and unexpected changes. This research addresses the Resource-Constrained Multi-Project Scheduling Problem (RCMPSP) by proposing an integrated scheduling framework that exploits resource flexibility. The approach introduces Work Content (WC) modeling, where activities are defined by required effort rather than fixed durations. This enables task durations to adapt dynamically to allocated resources, offering greater responsiveness to execution changes. The proposed framework is implemented through a mathematical optimization model combined with a heuristic algorithm, which jointly form the basis of a scheduling tool. This tool constructs feasible, resource-aware schedules that account for project constraints, including precedence relationships and Quality-Gate (QGC) milestones, while balancing workloads among Project Managers (PjMs). Compression and decompression techniques are applied to dynamically adjust activity durations, ensuring milestone compliance even under changing conditions. The research follows the Design Science Research (DSR) paradigm, incorporating a Systematic Literature Review (SLR), conceptual modeling, and development of the computational tool. Validation was conducted through a real-world case study at Bosch Car Multimedia, where the proposed solution was applied to actual multi-project scenarios. Results demonstrate that integrating WC-based modeling with resource flexibility and adaptive scheduling significantly enhances resource utilization, and strengthens control over project execution compared to traditional approaches. |
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