Template-Type: ReDIF-Article 1.0 Author-Name: Ying Li Author-X-Name-First: Ying Author-X-Name-Last: Li Author-Name: Baosheng Ying Author-X-Name-First: Baosheng Author-X-Name-Last: Ying Author-Name: Zhijun Rong Author-X-Name-First: Zhijun Author-X-Name-Last: Rong Author-Name: Binbin Dan Author-X-Name-First: Binbin Author-X-Name-Last: Dan Author-Name: Conglin Hu Author-X-Name-First: Conglin Author-X-Name-Last: Hu Author-Name: Feng Xiang Author-X-Name-First: Feng Author-X-Name-Last: Xiang Title: An evaluation approach for modules developed from design structure matrix 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 minimise interactions between modules and maximise 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 analysed using the proposed assessment to get a better clustering result, which validates the feasibility of the evaluation approach. Journal: Int. J. of Service and Computing Oriented Manufacturing Pages: 1-10 Issue: 1 Volume: 4 Year: 2021 Keywords: design structure matrix; DSM; product architecture; clustering assessment. File-URL: http://www.inderscience.com/link.php?id=114620 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijscom:v:4:y:2021:i:1:p:1-10 Template-Type: ReDIF-Article 1.0 Author-Name: Qi Yin Author-X-Name-First: Qi Author-X-Name-Last: Yin Author-Name: Feng Xiang Author-X-Name-First: Feng Author-X-Name-Last: Xiang Author-Name: YuanYuan Huang Author-X-Name-First: YuanYuan Author-X-Name-Last: Huang Author-Name: GuoZhang Jiang Author-X-Name-First: GuoZhang Author-X-Name-Last: Jiang Title: Water footprint assessment for iron and steel production based on life cycle and input-output method Abstract: The related researches about energy saving and emission reduction (ESER) of iron and steel products are mostly focused 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 and economic input-output method (LCA and EIO) are introduced to analyse 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. Journal: Int. J. of Service and Computing Oriented Manufacturing Pages: 32-44 Issue: 1 Volume: 4 Year: 2021 Keywords: energy saving and emission reduction; ESER; water footprint assessment; WFA; life cycle assessment; LCA; economic input-output; EIO. File-URL: http://www.inderscience.com/link.php?id=114621 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijscom:v:4:y:2021:i:1:p:32-44 Template-Type: ReDIF-Article 1.0 Author-Name: Erfan Zarafshan Author-X-Name-First: Erfan Author-X-Name-Last: Zarafshan Author-Name: Samira Rezaei Toroghi Author-X-Name-First: Samira Rezaei Author-X-Name-Last: Toroghi Author-Name: Reza Sheikh Author-X-Name-First: Reza Author-X-Name-Last: Sheikh Author-Name: Shib Sankar Sana Author-X-Name-First: Shib Sankar Author-X-Name-Last: Sana Title: The analysis and interpretation of quality cost using rough set theory: a case study from the ceramic industry Abstract: Total cost of quality plays a remarkable role in all companies so they use this information of 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 profit. In the context of management, rough set theory is one of the new ways which is used to analyse the quality costs and determine the crucial indicators of quality. Rough theory is used to collect information about the cost of quality of 11 reputable companies which are active in bourse Iran and belong to the ceramic industry over a period of five years and finally, three high-performance rules have been formed so that managers can use these rules in the industry to analyse the current situation and anticipate the future. Journal: Int. J. of Service and Computing Oriented Manufacturing Pages: 11-31 Issue: 1 Volume: 4 Year: 2021 Keywords: total cost of quality; TCOQ; total quality management; rough set theory; Crosby's model. File-URL: http://www.inderscience.com/link.php?id=114628 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijscom:v:4:y:2021:i:1:p:11-31 Template-Type: ReDIF-Article 1.0 Author-Name: Yi Zhu Author-X-Name-First: Yi Author-X-Name-Last: Zhu Author-Name: Ning Zhao Author-X-Name-First: Ning Author-X-Name-Last: Zhao Title: A simulation study for evaluating 'taxi' and 'bus' mode in same-day delivery Abstract: Same-day delivery refers to the intra-city express of small goods, gifts and documents from sender to receivers. Same-day delivery currently adopts 'taxi' mode to complete the delivery as soon as possible with the sacrifice of lot scale economic benefits. Consequently, it is interesting that whether 'bus' mode featured with lot scale could dominate both in economic and delivery efficiency. To answer this question, simulation is employed to conduct a case study and compare the performance of 'taxi' mode and 'bus' mode. Further, two simulation scenario experiments are presented to find dominate conditions. Finally, we find that with limited distribution resources, 'taxi' mode can exploit advantages in the scenario of concentrated orders in space and low order volume, while 'bus' mode is more suitable for the scenario of wider delivery range and high order volume. Journal: Int. J. of Service and Computing Oriented Manufacturing Pages: 45-69 Issue: 1 Volume: 4 Year: 2021 Keywords: same-day delivery; 'taxi' mode; 'bus' mode; simulation framework; multi-agent system; level-modular. File-URL: http://www.inderscience.com/link.php?id=114659 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijscom:v:4:y:2021:i:1:p:45-69 Template-Type: ReDIF-Article 1.0 Author-Name: Mengjia He Author-X-Name-First: Mengjia Author-X-Name-Last: He Author-Name: Yingnian Wu Author-X-Name-First: Yingnian Author-X-Name-Last: Wu Author-Name: Tao Wang Author-X-Name-First: Tao Author-X-Name-Last: Wang Author-Name: Yujie Chen Author-X-Name-First: Yujie Author-X-Name-Last: Chen Title: Research on dry electrode SSVEP classification algorithm based on improved convolutional neural network Abstract: SSVEP signal is mainly collected by a wet electrode. Wet electrode collection steps are tedious, and dry electrode collection is simple and easy to apply, so the study of dry electrode is the focus of SSVEP research. Although the dry electrode is easy to collect, the ITR is low and the signal intensity of the EEG signal of the subjects is highly differentiated. At present, the cross trial classification of SSVEP is the focus and difficulty of research. In order to be able to meet the situation without calibration and can still have higher adaptability, in this paper, deep convolutional neural network is improved for the classification of dry electrode SSVEP. The classification of ten types of SSVEP dry electrode signals can reach the classification accuracy of 91.11%, and the ITR of 1S can reach 54.87, which has a very broad application scenario. Journal: Int. J. of Service and Computing Oriented Manufacturing Pages: 70-88 Issue: 1 Volume: 4 Year: 2021 Keywords: BCI; steady-state visual evoked potential; SSVEP; dry electrode; convolutional neural network; no calibration. File-URL: http://www.inderscience.com/link.php?id=114664 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijscom:v:4:y:2021:i:1:p:70-88