期刊
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
卷 57, 期 11, 页码 3577-3597出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/00207543.2018.1543970
关键词
correlation; hybrid simulation; Mote Carlo; MTO; ETO supply chain
资金
- Fundacao para a Ciencia e Tecnologia (FCT) [PD/BD/105988/2014]
- North Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, and through the European Regional Development Fund (ERDF) [NORTE01-0145-FEDER-000020]
- Fundação para a Ciência e a Tecnologia [PD/BD/105988/2014] Funding Source: FCT
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.
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