• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.2
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• pp.97-103
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• 2006

Recently, the control chart is developed for monitoring processes with normal short production runs by the coefficient of variation(CV) characteristic for a normal distribution. This control chart does not work well in non-normal short production runs. And most of industrial processes are known to follow the non-normal distribution. Therefore, the control chart is required to be developed for monitoring the processes with non-normal short production runs by the CV characteristics for a non-normal distribution. In this paper, we suggest the control chart for monitoring the processes with a gamma short runs by the CV characteristics for a gamma distribution. This control chart is denoted by the gamma CV control chart. Futhermore evaluated the performance of the gamma CV control chart by average run length(ARL).

• IE interfaces
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• v.16 no.spc
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• pp.49-54
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• 2003

In e-business environment, business processes inevitably get more entangled and entail collaboration between distributed and heterogeneous platforms that are not easy to manage. Therefore, systematic and automated management of business process execution has drawn a great concern among companies that necessitate collaborative business processes. The concept of workflow inheritance enables abstraction, polymorphism and reusability of processes, and therefore contributes to extending and executing the processes effectively. We analyze various types of interoperation between business processes, and identify 6 primitive interoperability patterns. We propose a method for extensible collaborative process composition using workflow inheritance and provide collaborative workflow between business processes using web services.

• IE interfaces
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• v.16 no.spc
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• pp.76-81
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• 2003

BPMS (Business Process Management Systems) is aninformation system that systematically supports designing, administrating, and improving the business processes. It can execute the business processes by assigning tasks to human or computer agents according to the predefined definitions of the processes. In this research we developed a task assignment algorithm that can maximize overall process efficiency under the limitation of agents' capacity. Since BPMS manipulates the formal and predictable business processes, we can analyze the processes using queuing theory to achieve overall process efficiency. We first transform the business processes into queuing network model in which the agents are considered as servers. After that, workloads of agents are calculated as server utilization and we can determine the task assignment policy by balancing the workloads. This will make the workloads of all agents be minimized, and the overall process efficiency is achieved in this way. Another application of the results can be capacity planning of agents in advance and business process optimization in reengineering context. We performed the simulation analysis to validate the results and also show the effectiveness of the algorithm by comparing with well known dispatching policies.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.3 no.2
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• pp.39-45
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• 2004

Generally industrial multi-articulated robots are used for parts assembly, welding, and painting processes. The high flexibility of them is very useful to not only parts assembly, welding, and painting processes, but also machining processes. But because of machining processes to need a high stiffness of machine structure, so machining is usually not tried at them, except deburring processes now. During past three years the works are carried out to improve the stiffness of a industrial multi-articulated robot With some gas spring as a first idea in this research area. As a result of that stiffness was significantly up, and found and investigated the machining possibility at it.

• IE interfaces
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• v.16 no.4
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• pp.432-440
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• 2003

The inter-organizational business process is one of the hot issues in B2B e-commerce. In this paper, through the survey of the inter-organizational business process integration and the analysis of B2Bi related standards, e.g., BPML, WSDL, WSCI, and BPSS, we propose a method of linking BPML and BPSS specifications that can be used to integrate private processes with the public processes among enterprises. We also suggest an application example of the method by redefining a PIP of RosettaNet to the BPSS specification. The basic principle of the method is to maintain the independency of the existing BPML and BPSS applications and to construct an intermediary transformation module between the two applications.

• IE interfaces
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• v.25 no.1
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• pp.79-86
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• 2012

Traditional business process management systems provide verification tools of process models to deploy and automate the models. However, there are not so many studies on how to maintain systematically collaborative process models such as supply chain processes when companies are willing to change and update the collaborative process models. In this paper, we analyze change patterns of collaborative processes and declare 19 change patterns. In addition, we apply the change patterns to the process interoperability patterns in order to identify the change problems in case of independent process changes of collaborative processes. As a result, we devise an independency checking algorithm of process changes in collaborative processes.

• IE interfaces
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• v.17 no.2
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• pp.180-189
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• 2004

In this paper, we propose a reference model for logistics processes to improve the effect of RosettaNet standards application to domestic industry. First of all, implementation cases applied to logistics processes in the world are investigated. Second, logistics processes of domestic manufacturers are analyzed for the application of RosettaNet standards, and the processes are compared with PIP. Finally, a new logistics processes model and corresponding PIP documents which reflect domestic situations are proposed.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.04a
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• pp.403-413
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• 1996

Two-phase self-organizing neuro-modeling (SONM). the global SONM and local SONM, is designed for tracking non-stationary manufacturing processes. Radial basis function (RBF) neural network is employed, and self-tuning estimator is also developed for the determination of RBF network parameters on-line. A pattern recognition approach is presented for identifying a correct RBF neural network, which is used for identifying current manufacturing processes. Experimental results showed that the proposed approach is suitable for tracking non-stationary processes.

• Korean Chemical Engineering Research
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• v.58 no.4
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• pp.565-572
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• 2020

This study developed a software platform using machine learning of artificial intelligence to optimize the distillation column system. The distillation column is representative and core process in the petrochemical industry. Process stabilization is difficult due to various operating conditions and continuous process characteristics, and differences in process efficiency occur depending on operator skill. The process control based on the theoretical simulation was used to overcome this problem, but it has a limitation which it can't apply to complex processes and real-time systems. This study aims to develop an empirical simulation model based on machine learning and to suggest an optimal process operation method. The development of empirical simulations involves collecting big data from the actual process, feature extraction through data mining, and representative algorithm for the chemical process. Finally, the platform for the distillation column was developed with verification through a developed model and field tests. Through the developed platform, it is possible to predict the operating parameters and provided optimal operating conditions to achieve efficient process control. This study is the basic study applying the artificial intelligence machine learning technique for the chemical process. After application on a wide variety of processes and it can be utilized to the cornerstone of the smart factory of the industry 4.0.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.307-312
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• 2004

Contamination of industrial sites has happened by a variety compounds. Petroleum hydrocarbons, which are readily biodegradable, are reported principle contaminats in most industrial sites. Therefore, the use of biological processes will be a promising technology for remediation of industrial sites. This paper addresses the possible use of biological processes in remediation of contaminated industrial sites and discusses the background and main streams of the process. The paper also characterizes representative biological systems developed for application.