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A method for the automatic selection of tools in a disassembly or assembly environment is described. The method uses a cluster graph to represent the product in a fashion suitable for the simple identification of part inter‐relationships within the product. This graphical representation of the product is then converted directly into a dynamic programming model. To this dynamic programming model cost data are added and the optimum tool selection path is produced.

The purpose of this paper is to develop a strategic approach with an intelligently integrated management system in advanced manufacturing industry to meet the requirements of high precise measurement tasks and essential measurement know-how within the sophisticated production systems.

The continuous development toward ever-higher precision and closer tolerances in the manufacture of workpieces is in line with the perspective of nanotechnology. To meet the metrological requirements new high precision intelligent measuring instruments have been developed, which are proposed in this paper.

In modern industrial production, need for high precision metrology at micro and nano scale provides high quality requirements as well. Therefore, while providing adequate metrology applications, good management of resources and environmental, energy consequences shall be addressed in an integrated manner with an integrated management system of quality, environment and energy.

Metrology as the measurement science provides the functional methodology for quality control under the defined specifications and standards. New levels of manufacturing precision are the key requirements to enable advanced machining processes that demands improved techniques of metrology.

The practical industrial use is now quite possible, but uncertainty and calibration with respect to certain questions still open. In various technical fields, there are increasingly new applications being mainly mechanical engineering, precision machining, biomedicine and precision engineering are mentioned.

This paper provides measurement results and experimenting a strategic approach to develop a smart integrated system applicable in manufacturing industry using the intelligent networking for the digital factory by first an inter-university network that accesses, cooperates and operates at distance in the laboratory of distant research laboratories that can be applicable to all other industrial organizations.

This paper aims to develop methods for generating disassembly tasks for selective disassembly. The disassembly task contains the disassembly information, namely, disassembly direction, disassembly tool and selective disassembly sequence.

Ontology is adopted to represent the product, and ontology rules are used to represent the disassembly knowledge. A product ontology model (POM) is introduced on the basis of material, connection matrix and interference matrix. Two types of disassembly knowledge are taken into account, one is the disassembly knowledge of disassembly tool selection and the other is the disassembly knowledge of special connections. Based on the POM and the disassembly knowledge, decision support methods are designed to generate disassembly tasks.

A centrifugal pump is used to demonstrate the proposed methods, and the result shows that the methods work well.

The methods developed in this study are fundamental approaches. The ontology and the ontology rules can be extended with more disassembly knowledge.

The main contribution of this research is the development of methods for representing disassembly knowledge based on ontology rules and the decision support methods for generating disassembly tasks.

The purpose of this paper is to evaluate the service quality automobile garages through development of a service quality index based on the factors influencing service quality.

A structural methodology of graph theory and matrix approach is applied for developing the service quality index.

The automobile maintenance can be considered as a service industry and in order to sustain in the competitive business environment, the service providers must ensure quality in their services. There are several factors that influence the service quality. Each factor is comprised of several sub-factors. Moreover, the factors are interrelated with each other. Modelling of these factors and their interrelations with due consideration of their structure is accomplished through the graph theory. The directed graph (digraph) of the service quality is defined; the nodes of this symbolize the quality influencing factors, while the edges represent their degrees of interrelationships. An equivalent matrix developed from the digraph establishes a service quality function which leads to evaluation of service quality index (SQI). A greater value of the service quality index displays that the organization and functioning of the garage is adequate.

The methodology can be applied for evaluating as well as comparing service quality of different garages. The observations would be helpful to the managers the garages to make strategies for improving their service quality.

The paper establishes the interrelations among various factors that influence the service quality at automobile garages and develop a numeric index for the evaluation of the same.