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Original Articles

Customer demand prediction of service-oriented manufacturing incorporating customer satisfaction

, &
Pages 1303-1321 | Received 28 Sep 2014, Accepted 21 Jun 2015, Published online: 20 Jul 2015

References

  • Baines, T. S., H. W. Lightfoot, O. Benedettini, and J. M. Kay. 2009. “The Servitization Of Manufacturing: A Review of Literature and Reflection on Future Challenges.” Journal of Manufacturing Technology Management 20 (5): 547–567. doi:10.1108/17410380910960984.
  • Beuren, F. H., M. G. Gomes Ferreira, and P. A. Cauchick Miguel. 2013. “Product-service Systems: A Literature Review on Integrated Products and Services.” Journal of Cleaner Production 47: 222–231. doi:10.1016/j.jclepro.2012.12.028.
  • Çakanyildirim, M., and R. O. Roundy. 2002. “SeDFAM: Semiconductor Demand Forecast Accuracy Model.” IIE Transactions 34 (5): 449–465. doi:10.1023/A:1013558901823.
  • Cavalieri, S., and G. Pezzotta. 2012. “Product-service Systems Engineering: State of the Art and Research Challenges.” Computers in Industry 63 (4): 278–288. doi:10.1016/j.compind.2012.02.006.
  • Chang, P. C., Y. W. Wang, and C. Y. Tsai. 2005. “Evolving Neural Network for Printed Circuit Board Sales Forecasting.” Expert Systems with Applications 29 (1): 83–92. doi:10.1016/j.eswa.2005.01.012.
  • Chase, R. B., K. Kumar, and W. E. Youngdahl. 1992. “Service-based Manufacturing: The Service Factory.” Production and Operations Management 1 (2): 175–184. doi:10.1111/j.1937-5956.1992.tb00350.x.
  • Chou, C. M. 2014. “How Does Manufacturing Service Perceived Value Influence Customer Satisfaction? An Investigation of Global Semiconductor Industry.” International Journal of Production Research 52 (17): 5041–5054. doi:10.1080/00207543.2014.895065.
  • Cortes, C., and V. Vapnik. 1995. “Support-vector Networks.” Machine Learning 20 (3): 273–297. doi:10.1007/BF00994018.
  • Dean, P. R., D. Xue, and Y. L. Tu. 2009. “Prediction of Manufacturing Resource Requirements from Customer Demands in Mass-customisation Production.” International Journal of Production Research 47 (5): 1245–1268. doi:10.1080/00207540701557197.
  • Deng, Z., Y. Lu, K. K. Wei, and J. Zhang. 2010. “Understanding Customer Satisfaction and Loyalty: An Empirical Study of Mobile Instant Messages in China.” International Journal of Information Management 30 (4): 289–300. doi:10.1016/j.ijinfomgt.2009.10.001.
  • Ding, S., S. Yang, Y. Zhang, C. Liang, and C. Xia. 2014. “Combining QoS Prediction and Customer Satisfaction Estimation to Solve Cloud Service Trustworthiness Evaluation Problems.” Knowledge-Based Systems 56: 216–225. doi:10.1016/j.knosys.2013.11.014.
  • Fry, T. D., D. C. Steele, and B. A. Saladin. 1994. “A Service-oriented Manufacturing Strategy.” International Journal of Operations & Production Management 14 (10): 17–29. doi:10.1108/01443579410067225.
  • Gebauer, H., E. Fleisch, and T. Friedli. 2005. “Overcoming the Service Paradox in Manufacturing Companies.” European Management Journal 23 (1): 14–26. doi:10.1016/j.emj.2004.12.006.
  • Hong, J. S., H. Y. Koo, C. S. Lee, and J. Y. Ahn. 2008. “Forecasting Service Parts Demand for a Discontinued Product.” IIE Transactions 40 (7): 640–649. doi:10.1080/07408170701745337.
  • Hsieh, L. F., S. C. Hsieh, and P. H. Tai. 2011. “Enhanced Stock Price Variation Prediction via DOE and BPNN-based Optimization.” Expert Systems with Applications 38 (11): 14178–14184. doi:10.1016/j.eswa.2011.04.229.
  • Hu, H. H., J. Kandampully, and T. D. Juwaheer. 2009. “Relationships and Impacts of Service Quality, Perceived Value, Customer Satisfaction, and Image: An Empirical Study.” The Service Industries Journal 29 (2): 111–125. doi:10.1080/02642060802292932.
  • Huang, M. G., P. L. Chang, and Y. C. Chou. 2008. “Demand Forecasting and Smoothing Capacity Planning for Products with High Random Demand Volatility.” International Journal of Production Research 46 (12): 3223–3239. doi:10.1080/00207540601094457.
  • Huang, S., S. Zeng, Y. Fan, and G. Q. Huang. 2011. “Optimal Service Selection and Composition for Service-oriented Manufacturing Network.” International Journal of Computer Integrated Manufacturing 24 (5): 416–430. doi:10.1080/0951192X.2010.511657.
  • Ip, W. H., S. L. Chan, and C. Y. Lam. 2011. “Modeling Supply Chain Performance and Stability.” Industrial Management & Data System 111 (8): 1332–1354. doi:10.1108/02635571111171649.
  • Kang, D., and Y. Park. 2014. “Review-based Measurement of Customer Satisfaction in Mobile Service: Sentiment Analysis and VIKOR Approach.” Expert Systems with Applications 41 (4): 1041–1050. doi:10.1016/j.eswa.2013.07.101.
  • Karmarkar, U. 2004. “Will You Survive the Services Revolution?” Harvard Business Review 82 (6): 100–107.
  • Koufaris, M. 2002. “Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior.” Information Systems Research 13 (2): 205–223. doi:10.1287/isre.13.2.205.83.
  • Lee, S.Y., and X. Y. Song. 2010. “Structural Equation Models.” In International Encyclopedia of Education, edited by Penelope Peterson, Eva Baker, and Barry McGaw, 3rd ed., 453–458. Oxford: Elsevier.
  • Lu, J. Y., Y. X. Feng, J. R. Tan, and X. H. An. 2009. “Prediction and Analysis for Dynamic Trend of Customer Requirements Weight on Product.” Computer Integrated Manufacturing Systems 15 (11): 2272–2278.
  • Mahmod, W. E., and K. Watanabe. 2014. “Modified Grey Model and its Application to Groundwater Flow Analysis with Limited Hydrogeological Data: A Case Study of the Nubian Sandstone, Kharga Oasis, Egypt.” Environmental Monitoring & Assessment 186 (2): 1063–1081.
  • Maines, L. A. 1996. “An Experimental Examination of Subjective Forecast Combination.” International Journal of Forecasting 12 (2): 223–233. doi:10.1016/0169-2070(95)00623-0.
  • Nagorny, K., A. W. Colombo, and U. Schmidtmann. 2012. “A Service- and Multi-agent-oriented Manufacturing Automation Architecture: An IEC 62264 Level 2 Compliant Implementation.” Computers in Industry 63 (8): 813–823. doi:10.1016/j.compind.2012.08.003.
  • Papadimitriou, T., P. Gogas, and E. Stathakis. 2014. “Forecasting Energy Markets Using Support Vector Machines.” Energy Economics 44: 135–142. doi:10.1016/j.eneco.2014.03.017.
  • Quintana, R., and M. T. Leung. 2007. “Adaptive Exponential Smoothing versus Conventional Approaches for Lumpy Demand Forecasting: Case of Production Planning for a Manufacturing Line.” International Journal of Production Research 45 (21): 4937–4957. doi:10.1080/00207540600932046.
  • Raja, J. Z., D. Bourne, K. Goffin, M. Çakkol, and V. Martinez. 2013. “Achieving Customer Satisfaction through Integrated Products and Services: An Exploratory Study.” Journal of Product Innovation Management 30 (6): 1128–1144. doi:10.1111/jpim.12050.
  • Scholz-Reiter, B., M. Kück, and D. Lappe. 2014. “Prediction of Customer Demands for Production Planning-automated Selection and Configuration of Suitable Prediction Methods.” CIRP Annals-manufacturing Technology 63 (1): 417–420. doi:10.1016/j.cirp.2014.03.106.
  • Shin, S. Y., T. H. Moon, and S. Y. Sohn. 2009. “Structural Equation Model for Effective CRM of Information Infrastructure Industry in Korea.” Expert Systems with Applications 36 (2): 1695–1705. doi:10.1016/j.eswa.2007.11.038.
  • Suykens, J. A. K., and J. Vandewalle. 1999. “Least Squares Support Vector Machine Classifiers.” Neural Processing Letters 9 (3): 293–300. doi:10.1023/A:1018628609742.
  • To, C. K., and C. Leung. 2001. “Service-enhanced Manufacturing: A Study of Perceived Service Quality of Apparel Manufacturers.” Journal of Fashion Marketing and Management 5 (4): 313–323. doi:10.1108/EUM0000000007293.
  • Tukker, A., and U. Tischner. 2006. “Product-services as a Research Field: Past, Present and Future. Reflections from a Decade of Research.” Journal of Cleaner Production 14 (17): 1552–1556. doi:10.1016/j.jclepro.2006.01.022.
  • Türkyilmaz, A., and C. Özkan. 2007. “Development of a Customer Satisfaction Index Model: An Application to the Turkish Mobile Phone Sector.” Industrial Management & Data Systems 107 (5): 672–687. doi:10.1108/02635570710750426.
  • Turkyilmaz, A., A. Oztekin, S. Zaim, and O. F. Demirel. 2013. “Universal Structure Modeling Approach to Customer Satisfaction Index.” Industrial Management & Data Systems 113 (7): 932–949. doi:10.1108/IMDS-12-2012-0444.
  • Vinodh, S., and D. Joy. 2012. “Structural Equation Modelling of Lean Manufacturing Practices.” International Journal of Production Research 50 (6): 1598–1607. doi:10.1080/00207543.2011.560203.
  • Voyant, C., M. Muselli, C. Paoli, and M.-L. Nivet. 2011. “Optimization of an Artificial Neural Network Dedicated to the Multivariate Forecasting of Daily Global Radiation.” Energy 36 (1): 348–359. doi:10.1016/j.energy.2010.10.032.
  • Wang, C. H. 2013. “Incorporating Customer Satisfaction into the Decision-making Process of Product Configuration: A Fuzzy Kano Perspective.” International Journal of Production Research 51 (22): 6651–6662. doi:10.1080/00207543.2013.825742.
  • Woodruff, R. B. 1997. “Customer Value: The Next Source for Competitive Advantage.” Journal of the Academy of Marketing Science 25 (2): 139–153. doi:10.1007/BF02894350.
  • Wu, H. C. 2007. “The Karush–Kuhn–Tucker Optimality Conditions in an Optimization Problem with Interval-valued Objective Function.” European Journal of Operational Research 176 (1): 46–59. doi:10.1016/j.ejor.2005.09.007.
  • Wu, Q. 2010. “Product Demand Forecasts Using Wavelet Kernel Support Vector Machine and Particle Swarm Optimization in Manufacture System.” Journal of Computational and Applied Mathematics 233 (10): 2481–2491. doi:10.1016/j.cam.2009.10.030.
  • Wu, L., S. Liu, D. Liu, Z. Fang, and H. Xu. 2015. “Modelling and Forecasting CO2 Emissions in the BRICS (Brazil, Russia, India, China, and South Africa) Countries using a Novel Multi-variable Grey Model.” Energy 79: 489–495. doi:10.1016/j.energy.2014.11.052.
  • Zhen, L. 2012. “An Analytical Study on Service-oriented Manufacturing Strategies.” International Journal of Production Economics 139 (1): 220–228. doi:10.1016/j.ijpe.2012.04.010.
  • Zupančič, R., A. Sluga, and P. Butala. 2012. “A Service Network for the Support of Manufacturing Operations.” International Journal of Computer Integrated Manufacturing 25 (9): 790–803. doi:10.1080/0951192X.2012.665188.

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