2 results
Filters
Settings
Now showing1 - 2 of 2
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , A systematic literature review into simulation for building operations management theory: reaching beyond positivism?This paper examines the extent to which simulation modelling has been employed beyond positivism, particularly under post-positivist and design-science-oriented paradigms, for theory building in operations management. Our study demonstrates that existing literature reviews have neglected the aspect of theory building and the generation of technological rules from a design-science perspective. A systematic literature review appraises 53 studies, published between 1976 and 2019, revealed that classical positivist approaches predominate (40 of 53 studies), followed by directive positivist (6), classical post-positivist (5), and participatory post-positivist (2) paradigms. The review highlights the potential of simulation modelling for theory building in operations management from both positivist and post-positivist perspectives. However, the dominance of positivist approaches suggests a lack of engagement with practical implementation and comparative studies. The findings advocate for greater external validation and practitioner involvement, and integrated and extended checklists for simulation studies are proposed to guide future research in this area.Publicationtype: Journal Article15 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Processing incomplete data for simulation-based production planning in shipbuilding(Taylor & Francis, 2017-12-19); ; ; ; This paper presents an approach for simulation experiments at early stages of the shipbuilding process. In the early stages of the planning process, the design of the ship is not yet complete. However, an early scheduling of the production is already needed for staff employment and material ordering. Because the plan is based on incomplete input data, the uncertainty in production planning is much higher than in serial production with fully detailed product design and routings. The uncertainty reduces the accuracy of planning and, therefore, has a significant impact on its quality and robustness. The paper presents an approach to describe this uncertainty and to reduce it by generating design details from historical data.Publicationtype: Journal Article137