Author supplied: In a production environment where different products are being made in parallel, the path planning for every product can be different. The model proposed in this paper is based on a production environment where the production machines are placed in a grid. A software entity, called product agent, is responsible for the manufacturing of a single product. The product agent will plan a path along the production machines needed for that specific product. In this paper, an optimization is proposed that will reduce the amount of transport between the production machines. The effect of two factors that influence the possibilities for reductions is shown in a simulation, using the proposed optimization scheme. These two factors are the redundancy of production steps in the grid and the
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The paper explores the process of early growth of entrepreneurial science-based firms. Drawing on case studies of British and Dutch biopharmaceutical R&D firms, we conceptualize the speed of early growth of science-based firms as the time it takes for the assembly (or combined development) of three types of critical resources - a functionally-diverse management team, early fundraising and development of technology. The development of these resources is an unfolding and interrelated process, the causal direction of which is highly ambiguous. We show the variety of paths used by science-based firms to access and develop these critical resources. The picture that emerges is that the various combinations of what we call "assisted" and "unassisted" paths combine to influence the speed of firm growth. We show how a wide range of manifestations of technology development act as signaling devices to attract funding and management, affecting the speed of firm development. We also show how the variety of paths and the speed of development are influenced by the national institutional setting.
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Leaders play an important role in creating suitable conditions for and leading change, and leadership is most effective when it is needed most, such as during disruptive change. We used the disruption caused by the pandemic as a case to study how school leaders responded, starting from the framework by Leithwood, Harris, and Hopkins (2008. “Seven Strong Claims About Successful School Leadership.” School Leadership & Management 28 (1): 27–42. https://doi-org.hu.idm.oclc.org/10.1080/13632430701800060). 89 school leaders in higher education completed an open-ended questionnaire. Additionally, nine of these leaders were interviewed to explore their practices in depth. The leadership practices and paths of influence defined by Leithwood and colleagues (2008. “Seven Strong Claims About Successful School Leadership.” School Leadership & Management 28 (1): 27–42. https://doi-org.hu.idm.oclc.org/10.1080/13632430701800060) largely worked to understand leadership in times of disruption. We identified a new path of influence (relational) and refined the framework based on our insights. School leaders focused on setting directions and developing people and mainly influenced the change process through the relational and emotional path. These findings are an important next step in understanding and supporting leadership in times of disruption. This will become more and more important in a world of growing complexity and uncertainty.
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