International Journal of Service and Computing Oriented Manufacturing
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International Journal of Service and Computing Oriented Manufacturing (3 papers in press)
An Evaluation approach for modules developed from Design Structure Matrix by Ying LI, Baosheng Ying, Zhijun Rong, Binbin DAN, Ming LI, Feng XIANG Abstract: The main characteristics of its components and their interaction are represented in products architecture. A modular architecture can enhance the whole design cycle of a product. The idea of module identification is to minimize interactions between modules and maximize component interconnection within each module. Clustering DSM is a popular analysis technique for modularity. To assess the clustering efficiency, a new index of Cce is tendered to deal with a numerical DSM, as well as a binary DSM. A case study of a motorcycle engine of 17 parts is analyzed using the proposed assessment to get a better clustering result, which validates the feasibility of the evaluation approach. Keywords: Design Structure matrix; product architecture; clustering assessment.
Water Footprint Assessment for Iron and Steel Production based on Life Cycle and Input-Output Method by Qi Yin, Feng Xiang, YuanYuan Huang, GuoZhang Jiang Abstract: The related researches about energy saving and emission reduction (ESER) of iron and steel products are mostly focus on power or raw material, such as carbon footprint assessment (CFS), and rarely involves water. According to the view of water environment protection, the main index for water footprint assessment (WFA) is proposed in this paper. The concept and methodology of the production water footprint is advanced into life cycle WFA, a life cycle assessment & economic input-output method (LCA & EIO) are introduced to analyze the WFA process, which is mainly depending on grey water footprint, blue water footprint. Finally, a WFA case of iron and steel products is studied and several ESER methods are suggested. Keywords: energy saving and emission reduction (ESER); water footprint assessment (WFA); life cycle assessment (LCA); economic input-output (EIO).
The analysis and interpretation of quality cost using Rough Set Theory: a case study from the ceramic industry by Erfan Zarafshan, Samira Rezaie Toroghi, Reza Sheikh, Shib Sana Abstract: Cost of quality is the most important tool for managers because they can manage quality cost and they prepare the particular program to improve the quality. This schedule consists of controlling, measuring and reducing quality cost with improving quality. Total Quality Cost includes conformance cost (such as prevention cost, appraisal cost) and Non-conformance cost (such as internal failure cost, external failure cost); furthermore, the managers use them as conditional variables that affect decision variables like Total Cost of Quality
/ Profit. To be more exact, total cost of quality plays a remarkable role in all companies so they use these information about the quality cost to achieve some aims: first of all to improve the quality, to control the quality cost and last but not least to have effects on the profit. Rough set theory is a powerful instrument to extracting a pattern out of the huge amount of information. In the context of management, Rough Theory method, which is one of the new ways, is used so as to analyze the quality costs and determine the crucial indicators of quality. Little attention is attracted in previous studies to use the above theory. Rough Theory is used to collect information about the cost of quality of 11 reputable companies which are active in the stock market of Iran and belong to the ceramic industry over a period of 5 years and finally, 3 high-performance rules have been formed so that managers can use these rules in the industry to analyze the current situation and anticipate the future. Keywords: Total Cost of quality; Total Quality Management; Rough Set Theory; Crosby's model.