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The purpose of this paper is to create a fabric retrieval system for designers that is based on a database that includes designers’ criteria and Kansei (sense and feeling) information, designed for the selection of a fabric from a wide range in e-commerce.

The database included sensory expressions for each type of fabric taken from fashion journals and values of smoothness, softness, luster and thinness (referred to as Kansei values) for each fabric. The Kansei values were determined by a Japanese expert designer using standard fabric samples of a fabric type. The system uses two search methods to find the desired type of fabric: a category search method and a free word search method. After finding appropriate types of fabric, the user further narrows down the fabrics of the selected type to more suitable fabrics using the Kansei values. The validity of the Kansei values and the effectiveness of the system were verified by 11 professional designers from Japan and Sweden.

The Japanese and Swedish designers were satisfied with the fabrics retrieved for specific items and found that the system was effective. The Kansei values were similar among fashion designers and shown to be effective for fabric retrieval.

The system will allow designers to find appropriate types of fabric and to narrow their search for fabrics among selected types to find candidate fabrics easily and quickly with their Kansei values and experience without technical knowledge of fabrics.

“A Canadian company required information on a process in Switzerland. Since data were too complicated to obtain by mail a vice‐president of the company was assigned to make a trip. The company librarian hearing of this situation accidentally made a search and produced the information from the company's own files.”

The surface of the textile fabrics is not absolutely flat and smooth. Its geometrical roughness within certain extents is considerable. The surface roughness influences the fabric hand and it plays a significant role in the end use of the fabric. In parallel, the periodic variations of the fabric surface level due to the regular interlaced patterns of the yarns cause a respective variation of the geometrical roughness measurement. Thus, the fabric roughness data measured using the Kawabata Evaluation System for Fabrics and imposed to a certain process of numerical calculations result into the retrieval of the structural parameters of the fabric. The principle of the method has a non‐destructive character and can be applied to woven or knitted fabrics.

The purpose of this research is to investigate knowledge management in the textile industry specifically through the relationships and interconnections of knowledge management systems, strategy and firm performance across the value chain.

This research examines the process of acquisition, retention, maintenance, and retrieval of knowledge both within the firm through organizational memory and across the value chain. A series of case studies examines how Invista (a Du Pont subsidiary) manages knowledge internally and externally through relationships with downstream partners across a single value‐chain within the textile industry. Qualitative interviews assess the “state of the industry” regarding knowledge management systems.

Differentiation through knowledge is difficult in practice. Invista has taken the first steps to develop knowledge management systems that connect the internal and external knowledge base to gain competitive advantage. Establishing internal knowledge management systems for organizational memory creates opportunities to minimize knowledge isolation in functional departments and creates a greater base for tacit learning to be leveraged. External knowledge management systems bring value chain members closer together and add value to the product (i.e. increased quality, customer perceptions of brand platforms) throughout the value chain. Active external knowledge systems create opportunities to reap the full benefits of internal knowledge and knowledge from other firms within the network.

This paper describes the process of acquisition, retention, maintenance, and retrieval of knowledge within the firm by improving organizational memory and across the value chain through knowledge management systems to gain competitive advantage.

In this paper we report the development and implementation of a decision support system to solve a complex scheduling system for a major apparel fabric company with annual sales of more than $2.5 billion. For the first phase of the problem, we developed a linear programming model to generate optimal machine loads. For the second phase, we designed a heuristic to minimize the delays that occur during the subsequent fabric roll selection and sequencing operations. Our system completely replaced tedious manual calculations with optimal machine loads, greatly improved the overall quality of their products, and produced unexpected benefits such as practically eliminating the high turnover of scheduling operators.

The paper attempts to provide an outline account of the development and context of scientific and technical communication during the twentieth century. The main channels and forms of communication are reviewed, and their changing contributions to the overall pattern of information flow. The ever‐increasing volume and diversity of scientific and technical information are emphasised. The paper concludes with some reflections on what may be learnt from this history.

The megadimensional nature of the complex social systems of the twentieth century, and the increasing levels of interrelatedness, present the individual with a bewildering array of information sources and services.

Recent growth of the Internet has greatly increased the amount of information that is accessible and the number of resources that are available to users. To exploit this growth, it must be possible for users to find the information and resources they need. Existing techniques for organizing systems have evolved from those used on centralized systems, but these techniques are inadequate for organizing information on a global scale. This article describes Prospero, a distributed file system based on the Virtual System Model. Prospero provides tools to help users organize Internet resources. These tools allow users to construct customized views of available resources, while taking advantage of the structure imposed by others. Prospero provides a framework that can tie together various indexing services producing the fabric on which resource discovery techniques can be applied.

The scope and activities of the library of the International Airports Projects (IAP) office of the Ministry of Defence and Aviation, Kingdom of Saudi Arabia, are described. The IAP Library has favoured the application of technology‐intensive techniques, including the development of a computerised Library Administration System (LAS), which makes use of UK and LC MARC tapes. Future developments may include interfacing with a computer‐indexed automated microfiche retrieval system. It is suggested that library and information provision in Saudi Arabia may be entering a period of rapid expansion.

This paper gives a bibliographical review of the finite element methods (FEMs) applied to the analysis of ceramics and glass materials. The bibliography at the end of the paper contains references to papers, conference proceedings and theses/dissertations on the subject that were published between 1977‐1998. The following topics are included: ceramics – material and mechanical properties in general, ceramic coatings and joining problems, ceramic composites, ferrites, piezoceramics, ceramic tools and machining, material processing simulations, fracture mechanics and damage, applications of ceramic/composites in engineering; glass – material and mechanical properties in general, glass fiber composites, material processing simulations, fracture mechanics and damage, and applications of glasses in engineering.