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The objective of this study was to integrate the information, business, and production process of a powder coating manufacturing via computer simulation. Previous studies considered only conventional customer leadtime, which is defined as customer lead-times to receive goods or services. The integrated approach of this study is capable of evaluating customer lead-times in six different dimensions. Furthermore, the integrated simulation approach considers conventional customer lead-time (from when the customer places an order) in addition to five other customer indices. This is the first study to consider the integrated modeling of the information, business, and production process. Previous studies mostly considered individual simulation modeling of production system, information system, or business system in various settings. It is claimed that by integrating information and business systems and production systems through simulation, major and minor organization and production issues become visible. This study also shows perceived improvements through integration of the information system and production process modeling. In summary, the unique features of this study are 3-fold. First, the integrated approach of this study identifies major bottlenecks of the production process and information system and business process concurrently. Second, the integrated approach models and produces several dimensions of customer satisfaction. Finally, the integrated approach allows the effects of business process reengineering and information technology to be evaluated before actual implementation. In addition, by integrated modeling of this study the hidden and concurrent effect of the business and production processes are identified and improved.
The objective of this study was to integrate the information, business, and production process of a powder coating manufacturing via computer simulation. Previous studies considered only conventional customer leadtime, which is defined as customer lead-times to receive goods or services. The integrated approach of this study is capable of evaluating customer lead-times in six different dimensions. Furthermore, the integrated simulation approach considers conventional customer lead-time (from when the customer places an order) in addition to five other customer indices. This is the first study to consider the integrated modeling of the information, business, and production process. Previous studies mostly considered individual simulation modeling of production system, information system, or business system in various settings. It is claimed that by integrating information and business systems and production systems through simulation, major and minor organization and production issues become visible. This study also shows perceived improvements through integration of the information system and production process modeling. In summary, the unique features of this study are 3-fold. First, the integrated approach of this study identifies major bottlenecks of the production process and information system and business process concurrently. Second, the integrated approach models and produces several dimensions of customer satisfaction. Finally, the integrated approach allows the effects of business process reengineering and information technology to be evaluated before actual implementation. In addition, by integrated modeling of this study the hidden and concurrent effect of the business and production processes are identified and improved.
No abstract
Simulation technology provides powerful tools for analysis of information system (IS) designs, but it is a fact that the purpose of such technology is to enhance the quality of decisions made by human beings. On-line help and knowledge-based support, graphics, and Visual Interactive Simulation (VIS) and animation are particularly promising technologies to enhance the effectiveness of simulation from a human factors perspective. Based on literature review and two studies undertaken by the authors, the role of these technologies in simulation-based decision making is considered. The authors find that there are opportunities to improve the decision support role of simulation technology in IS with enhanced user interface technology but that there are further issues to address. Although there are many practical difficulties in experimental assessment of human factors in IS simulation, such research is essential in determining the relevance of simulation technology to decision support.
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