A model for planning and optimizing an engineering company production
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DOI: 10.1007/s12597-019-00435-7
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- Bilge Bilgen & Yelda Çelebi, 2013. "Integrated production scheduling and distribution planning in dairy supply chain by hybrid modelling," Annals of Operations Research, Springer, vol. 211(1), pages 55-82, December.
- Park, Byung-Jung & Zhang, Yunlong & Lord, Dominique, 2010. "Bayesian mixture modeling approach to account for heterogeneity in speed data," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 662-673, June.
- Mirzapour Al-e-hashem, S.M.J. & Baboli, A. & Sazvar, Z., 2013. "A stochastic aggregate production planning model in a green supply chain: Considering flexible lead times, nonlinear purchase and shortage cost functions," European Journal of Operational Research, Elsevier, vol. 230(1), pages 26-41.
- de Kruijff, Joost T. & Hurkens, Cor A.J. & de Kok, Ton G., 2018. "Integer programming models for mid-term production planning for high-tech low-volume supply chains," European Journal of Operational Research, Elsevier, vol. 269(3), pages 984-997.
- Peter S. Fader & Bruce G. S. Hardie, 2001. "Forecasting Repeat Sales at CDNOW: A Case Study," Interfaces, INFORMS, vol. 31(3_supplem), pages 94-107, June.
- Arash Abedi & Weihang Zhu, 2017. "An optimisation model for purchase, production and distribution in fish supply chain – a case study," International Journal of Production Research, Taylor & Francis Journals, vol. 55(12), pages 3451-3464, June.
- Cardoso, Sónia R. & Barbosa-Póvoa, Ana Paula F.D. & Relvas, Susana, 2013. "Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 226(3), pages 436-451.
- Banerjee, S. K. & Kourouklis, A. P. & Penman, J., 1994. "Manufacturing planning and control decision model: A design methodology," International Journal of Production Economics, Elsevier, vol. 34(3), pages 283-292, June.
- Seyed Mohammad Javad Mirzapour Al-E-Hashem & Armand Baboli & Z. Sazvar, 2013. "A stochastic aggregate production planning model in a green supply chain : Considering flexible lead times, nonlinear purchase and shortage cost functions," Post-Print hal-02313031, HAL.
- Wochner, Sina & Grunow, Martin & Staeblein, Thomas & Stolletz, Raik, 2016. "Planning for ramp-ups and new product introductions in the automotive industry: Extending sales and operations planning," International Journal of Production Economics, Elsevier, vol. 182(C), pages 372-383.
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Keywords
Finite mixture distributions; Maximum likelihood; Akaike information criterion (AIC); Service level; Default risk;All these keywords.
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