Open Access
MATEC Web Conf.
Volume 298, 2019
International Conference on Modern Trends in Manufacturing Technologies and Equipment: Mechanical Engineering and Materials Science (ICMTMTE 2019)
Article Number 00025
Number of page(s) 6
Published online 18 November 2019
  1. V. Vinod, R. Sridharan, Scheduling a dynamic job shop production system with sequence-dependent setups: An experimental study Robotics and computer-integrated manufacturing 24 3 (2008) pp. 435-449 [Google Scholar]
  2. Mohammed Ali, Subhash Wadhwa, The effect of routing flexibility on a flexible system of integrated manufacturing International journal of production research 48 19 (2010), pp. 5691-5709 [CrossRef] [Google Scholar]
  3. Kolassa, S. (2016). Evaluating predictive count data distributions in retail sales forecasting. International Journal of Forecasting, Vol. 32, (no. 3), pages 788–803. [CrossRef] [Google Scholar]
  4. Merigó, J.M., Palacios-Marqués, D., Ribeiro-Navarrete, B. (2015). Aggregation systems for sales forecasting. Journal of Business Research, Vol. 68, (no. 11), pages 2299–2304. [CrossRef] [Google Scholar]
  5. Zhi-Ping, Fan, Yu-Jie, Che, Zhen-Yu, Chen. (2017). Product sales forecasting using online reviews and historical sales data: A method combining the Bass model and sentiment analysis. Journal of Business Research, Vol. 74, pages 90–100. [CrossRef] [Google Scholar]
  6. Kuan, Chung-Ming. (2013). Markov switching model. Quantile, (no. 11), pages 13-39. [Google Scholar]
  7. Psaradakis, Z., Sola, M., Spagnolo F. (2004). On Markov Error Correction Models, with an Application to Stock Prices and Dividends. Journal of Applied Econometrics, (no.19 (1)), page 6988. [CrossRef] [Google Scholar]
  8. Mohammad M. Hamasha, Azmi Alazzam, Sa’d Hamasha, Multimachine Flexible Manufacturing Cell Analysis Using a Markov Chain-Based Approach, (IEEE Transactions on components packaging and manufacturing technology) 5 3 (2015), pp. 439-446 [CrossRef] [Google Scholar]
  9. M. Savsar, Majid Aldaihani, A Stochastic Model for Analysis of Manufacturing Modules, Applied mathematics & information sciences 6 3 (2012), pp. 587-600 [Google Scholar]
  10. Yue Wu, A stochastic model for production loading in a global apparel manufacturing company under uncertainty, Production planning & control, 22 3 (2011), pp. 269-281 [CrossRef] [Google Scholar]
  11. Volkov, I.K., Zuev, S.M., Tsvetkova, G.M. (2006). Random processes. Publishing house of the MSTU, N.E.Baumana, pages 448. [Google Scholar]
  12. Higgins J.M. Organizational Policy and Strategic Management: Text and Cases. 2nded. – Chicago: The Drydent Press, 1983, 721 p. 4. Volkov, I.K., Zuev, S.M., Tsvetkova, G.M. (2006). Random processes. Publishing house of the MSTU, N.E.Baumana, pages 448. [Google Scholar]
  13. Tikhonov, A.N., Samarskii, A.A. (1977). Equations of Mathematical Physics, M: Nauka, pages 736. [Google Scholar]

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