Assessing the impact of performance determinants in complex MTO/ETO supply chains through an extended hybrid modelling approach

• Tipo: Artigo em Revista Científica Internacional
• Data: 2019

Autores

Cátia Barbosa (Autor) Outra; Américo Azevedo (Autor) FEUP

Revista

Título: International Journal of Production Research

Vol. 57 Nº 11

Páginas: 3577-3597

ISSN: 0020-7543

Editora: Taylor & Francis

Indexação

ISI Web of Knowledge - 13 Citações

Scopus - 13 Citações

INSPEC

Outras Informações

ID Authenticus: P-00P-TXA

DOI: 10.1080/00207543.2018.1543970

Abstract (EN): In make-to-order (MTO)/engineer-to-order (ETO) business environments multiple customer-oriented projects compete for and share resources through interdependent engineering and production activities. Deep knowledge of critical dimensions that affect performance is key in this context. For this, we propose a set of determinants - workload, complexity, outsourcing, design reuse, project type, and knowledge/experience with technology, that impact performance. These determinants are input to an extended hybrid simulation model using system dynamics (SD), discrete event simulation (DES) and agent-based simulation (ABS) that tackles the needs imposed by activities of very different nature, as the project development and manufacturing/assembly operations. The hybrid model is applied to the case of an advanced manufacturing company. Through Monte Carlo sampling, the influence of different combinations of determinants in the performance variability is assessed. A correlation analysis shows evidence of association between all performance determinants and the project time and cost, while no evidence of association between the design reuse and project type determinants and the manufacturing and assembly time.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 21