The resource allocation model for multi-process instances based on particle swarm optimization

2017 | Information Systems Frontiers | Citations: 0

Authors: Zhao, Weidong; Zeng, Qingfeng; Zheng, Guangjian; Yang, Liu

Abstract: Resource allocation in process management focuses on how to maximize process per ... Expand

Abstract: Resource allocation in process management focuses on how to maximize process performance via proper resource allocation since the quality of resource allocation determines process outcome. In order to improve resource allocation, this paper proposes a resource allocation method, which is based on the improved hybrid particle swarm optimization (PSO) in the multi-process instance environment. Meanwhile, a new resource allocation model is put forward, which can optimize the resource allocation problem reasonably. Furthermore, some improvements are made to streamline the effectiveness of the method, so as to enhance resource scheduling results. In the end, experiments are conducted to demonstrate the effectiveness of the proposed method. Collapse

Topics: resource allocation airline information system business process management

Methods: computational algorithm experiment multi objective optimization trade-off analysis method business process modeling

STANDARD DIFFUSION IN GROWING NETWORKS: MODELING INTERACTION PATTERNS

2014 | European Conference On Information Systems | Citations: 0

Authors: Fürstenau, Daniel; Kliewer, Natalia

Abstract: Size matters for standardization efforts: Newly introduced, more efficient stand ... Expand

Abstract: Size matters for standardization efforts: Newly introduced, more efficient standards are often disadvantaged because they have smaller networks. Networks for commercial and technical collaboration –for instance in passenger transportation – however, suggest that network size is not all that matters. Network effect models should also account for specific interaction patterns and growth processes. Emerging islands of shared technologies may then be explained by close-knit, non-proportional interactions among members of alliances and the like. To test the effects of proportionality, degree of interaction, and preferentiality, we model standard diffusion in a growing network of organizations linked through different patterns of interaction. Extreme case analysis and agent-based simulation show that proportional and non-proportional interactions have different, non-monotonic effects on standardization outcomes. Proportional interactions – formed as a function of a growing network size – result in a path-dependent trajectory where an increasing number of links promote one standard’s dominance. Non-proportional interactions, in contrast, limit network effects: Multi-standard persistence becomes more likely as new agents are less dependent on the total number of adopters in the network. We illustrate theoretical implications and planned next steps for assessing diffusion scenarios of a new standard in airline IT and distribution. Collapse

Topics: network effect airline information system decision making

Methods: network analysis case study theory development agent based simulation

Theories: network effect theory