Tactical-operational coordination of a divergent production system with coproduction: the sawmilling challenge

References

• Aghezzaf EH, Sitompul C, Van den Broecke F. 2011. A robust hierarchical production planning for a capacitated two-stage production system. Comput Ind Eng. 60(2):361–372.
   Web of Science ®Google Scholar
• Alvarez PP, Espinoza A, Maturana S, Vera JR. 2015. Improving consistency of tactical and operational planning using robust optimization. Technical report. Santiago (Chile): Universidad Catolica de Chile, School of Engineering.
   Google Scholar
• APICS Dictionary, Twelfth Edition. 2008. John H. Blackstone Jr. (editor). APICS - The Association for Operations Management.
   Google Scholar
• Beaudoin D, Frayret JM, LeBel L. 2008. Hierarchical forest management with anticipation: an application to tactical–operational planning integration. Can J for Res. 38(8):2198–2211.
   Web of Science ®Google Scholar
• Ben Ali M, Gaudreault J, D’Amours S, Carle M-A. 2014 Nov 5–7. A multi-level framework for demand fulfillment in a make-to-stock environment - a case study in Canadian Softwood Lumber Industry. 10th International Conference of Modelling and Simuling- MOSIM'14, Nancy.
   Google Scholar
• Ben Ali M, D’amours S, Gaudreault J, Carle MA. 2019. Integrating revenue management and sales and operations planning in a make-to-stock environment: softwood lumber case study. Inf Syst Oper Res. 57(2):314–341.
   Web of Science ®Google Scholar
• Birge JR, Louveaux F. 1997. Introduction to stochastic programming. New York (NY): Springer. p. 448.
   Google Scholar
• Bitran GR, Hax AC. 1977. On the design of hierarchical production planning systems. Decis Sci. 8(1):28–55.
   Google Scholar
• D'Amours S, Frayret J-M, Gaudreault J, LeBel L, Martel A. 2009. Chaînes de création de valeur, Ordre des ingénieurs forestiers du Québec, Manuel de la foresterie. Vol. 2e éd, 1307–1324. Québec.
   Google Scholar
• Díaz-Madroñero M, Mula J, Peidro D. 2014. A review of discrete-time optimization models for tactical production planning. Int J Prod Res. 52(17):5171–5205.
   Web of Science ®Google Scholar
• Dumetz L, Gaudreault J, Bril El-Haouzi H, Thomas A, Lehoux N, Marier P. 2018. Simulation and evaluation of coordination mechanisms for a decentralized lumber production system with coproduction. For Prod J. 69(4):260–271.
   Web of Science ®Google Scholar
• Dumetz L, Gaudreault J, Thomas A, Lehoux N, Marier P, El-Haouzi H. 2017. Evaluating order acceptance policies for divergent production systems with coproduction. Int J Prod Res. 55(13):3631–3643.
   Web of Science ®Google Scholar
• Gaudreault J, Forget P, Frayret J-M, Rousseau A, Lemieux S, D'Amours S. 2010. Distributed operations planning in the lumber supply chain: models and coordination. Int J Ind Eng-Theory Appl Pract. 17(3):168–189.
   Google Scholar
• Genin P. 2003. Planification tactique robuste avec usage d’un [APS, Ph.D. Thesis]. Paris: École des Mines de.
   Google Scholar
• Hax AC, Meal HC. 1973. Hierarchical integration of production planning and scheduling. IDEAS Working Paper Series from RePEc.
   Google Scholar
• Lobos A, Vera JR. 2016. Intertemporal stochastic sawmill planning: Modeling and managerial insights. Comput Ind Eng. 95:53–63.
   Web of Science ®Google Scholar
• Marier P, Bolduc S, Ali MB, Gaudreault J. 2014a Nov 5–7). S&OP network model for commodity lumber products. In: 10th International Conference of Modelling and Simuling- MOSIM'14. Nancy.
   Google Scholar
• Marier P, Gaudreault J, Noguer T. 2016 Jun 1–4. Kiln drying operations scheduling with dynamic composition of loading patterns. In: Information System, Logistics and Supply Chain Conference, Bordeaux.
   Google Scholar
• Marier P, Gaudreault J, Robichaud B. 2014b Nov 5–7). Implementing a MIP model to plane and schedule wood finishing operation in a sawmill: lessons learned. In: 10th International Conference of Modelling and Simuling- MOSIM'14, Nancy.
   Google Scholar
• Marier P. 2011. Gestion intégrée des ventes et des opérations dans l'industrie du sciage. In: Expo-Conférence. Québec: Université Laval.
   Google Scholar
• Maturana S, Pizani E, Vera J. 2010. Scheduling production for a sawmill: A comparison of a mathematical model versus a heuristic. Comput Ind Eng. 59(4):667–674.
   Web of Science ®Google Scholar
• McKay KN, Safayeni FR, Buzacott JA. 1995. A review of hierarchical production planning and its applicability for modern manufacturing. Prod Plann Control. 6(5):384–394.
   Web of Science ®Google Scholar
• Occeña LG, Schmoldt DL. 1996. Grasp – a prototype interactive graphic sawing program. For Prod J. 46(11–12):40–42.
   Web of Science ®Google Scholar
• Öner S, Bilgic T. 2008. Economic lot scheduling with uncontrolled coproduction. Eur J Oper Res. 188(3):793–810.
   Web of Science ®Google Scholar
• Ortiz AV, Thomas A. 2004 Nov. Proposition of disaggregation method for tactical robust planning. In: IFAC/IEEE Conference on Management and Control of Production and Logistics, Santiago (Chili).
   Google Scholar
• Ortiz-Araya V, Albornoz VM. 2012. Hierarchical planning methodology for a supply chain management. Inform Econ. 16(2):14–18.
   Google Scholar
• Rönnqvist M, D’Amours S, Weintraub A, Jofre A, Gunn E, Haight RG, Martell D, Murray AT, Romero C. 2015. Operations research challenges in forestry: 33 open problems. Ann Oper Res. 232:11–40.
   Web of Science ®Google Scholar
• Sargent RG. 2004. Validation and verification of simulation models. In: Proceedings of the Winter Simulation Conference, Piscataway (NJ).
   Google Scholar
• Schneeweiss C. 2003. Distributed decision making—a unified approach. Eur J Oper Res. 150(2):237–252.
   Web of Science ®Google Scholar
• Simchi-Levi D, Kaminsky P, Simchi-Levi E. 2003. Designing and managing the supply chain: concepts, strategies, and case studies. 2nd ed. Boston, MA: McGraw-Hill/Irwin.
   Google Scholar
• Singer M, Donoso P. 2007. Internal supply chain management in the Chilean sawmill industry. Int J Oper Prod Manage. 27(5):524–541.
   Web of Science ®Google Scholar
• Thomas A, Genin P, Lamouri S. 2008. Mathematical programming approaches for stable tactical and operational planning in supply chain and aps context. J Decis Syst. 17(3):425–455.
   Google Scholar
• Todoroki CL, Rönnqvist M. 1999. Combined primary and secondary log breakdown optimization. J Oper Res Soc. 50(3):219–229.
   Web of Science ®Google Scholar
• Varas M, Maturana S, Pascual R, Vargas I, Vera J. 2014. Scheduling production for a sawmill: A robust optimization approach. Int J Prod Econ. 150:37–51.
   Web of Science ®Google Scholar
• Vogel T, Almada-Lobo B, Almeder C. 2017. Integrated versus hierarchical approach to aggregate production planning and master production scheduling. OR Spectrum. 39(1):193–229.
   Web of Science ®Google Scholar
• Vollmann T, Berry W, Whybark D. 1997. Manufacturing planning and control for supply chain management. New York (NY): McGraw-Hill.
   Google Scholar
• Winn MF, Wynne RH, Araman PA. 2004. Alog: A spreadsheet-based program for generating artificial logs. For Prod J. 54(1):62–66.
   Web of Science ®Google Scholar
• Yaghubian AR, Hodgson TJ, Joines JA. 2001. Dry-or-buy decision support for dry kiln scheduling in furniture production. IIE Trans. 33(2):131–136.
   Web of Science ®Google Scholar