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This paper deals with a systematic approach for deriving an object based information model for CIM systems. Owing to the complex nature of CIM environment it is often difficult to identify data structures and functionality of such a system. An object based modeling methodology is presented, along with clustering based procedure for deriving a static structure model from functional requirements. Performance measures for evaluating the “quality” of the derived model are presented and discussed. A sample manufacturing application is provided in order to illustrate the approach.

The purpose of this paper is to show how intelligence techniques have been used in information management systems.

The results of a literature review on intelligence decision systems used in enterprise information management are analyzed. The intelligence techniques used in enterprise information management are briefly summarized.

Intelligence techniques are rapidly emerging as new tools in information management systems. Especially, intelligence techniques can be used to utilize the decision process of enterprises information management. These techniques can increase sensitiveness, flexibility and accuracy of information management systems. The hybrid systems that contain two or more intelligence techniques will be more used in the future.

The intelligence decision systems are briefly introduced and then a literature review is given to show how intelligence techniques have been used in information management systems.

The purpose of this paper is to examine best practices that contribute to the effectiveness of benchmarking in Indonesian manufacturing industries.

A total of 250 questionnaires are distributed to representatives of the Badan Pengelola Industri Strategis (BPIS) registered companies, specifically to the quality managers or production managers that are involved in the benchmarking process in companies.

In total, 155 responded to the questionnaire; that gives a response rate of 51.67 percent. Analysis of the data has shown that some benchmarking practices, e.g. the manufacturing process, and organizational and environmental factors do significantly influence the effectiveness of benchmarking.

Further study needs to be undertaken to identify other best practices of benchmarking. A further limitation of the study is that the survey items are based on the literature review.

A government body such as a benchmarking department (BPIS) can therefore focus on these factors for further development of benchmarking. BPIS Indonesia can organize more training and seminars for smaller manufacturing companies. From an organizational point of view, attention should be given to improving compatibility, employee innovativeness, and government intervention so that the best practices of benchmarking can be used proactively as a strategic tool.

From the findings of this paper, in order for the benchmarking process to be successful, an organization needs these general requirements: top management commitment and support: a solid understanding of the manufacturing operations and requirements for improvement: willingness to share information with benchmarking partners; and dedication to ongoing benchmarking efforts.