Modelling customer demand in forest products industry supply chains: a review of the literature
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[1] Rorbert Griñó Cubero. Neural Networks for Water Demand Time Series Forecasting , 1991 .
[2] Jack F. Williams. Heuristic Techniques for Simultaneous Scheduling of Production and Distribution in Multi-Echelon Structures: Theory and Empirical Comparisons , 1981 .
[3] Nikolaos V. Sahinidis,et al. Optimization under uncertainty: state-of-the-art and opportunities , 2004, Comput. Chem. Eng..
[4] Charles H. Fine,et al. UPSTREAM VOLATILITY IN THE SUPPLY CHAIN: THE MACHINE TOOL INDUSTRY AS A CASE STUDY , 2000 .
[5] D. Sterman,et al. Misperceptions of Feedback in a Dynamic Decision Making Experiment , 1989 .
[6] Rodrigo A. Garrido,et al. Forestry production and logistics planning: an analysis using mixed-integer programming , 2005 .
[7] E. Chuvieco,et al. Applying Local Measures of Spatial Heterogeneity to Landsat-TM Images for Predicting Wildfire Occurrence in Mediterranean Landscapes , 2006, Landscape Ecology.
[8] Patricio Donoso,et al. Internal supply chain management in the Chilean sawmill industry , 2007 .
[9] T. Kaihara. Supply chain management with market economics , 2001 .
[10] Richard Weber,et al. Improved supply chain management based on hybrid demand forecasts , 2007, Appl. Soft Comput..
[11] Hau L. Lee,et al. Strategic Analysis of Integrated Production-Distribution Systems: Models and Methods , 1988, Oper. Res..
[12] Paul A. Fishwick,et al. Feedforward Neural Nets as Models for Time Series Forecasting , 1993, INFORMS J. Comput..
[13] Costas D. Maranas,et al. Managing demand uncertainty in supply chain planning , 2003, Comput. Chem. Eng..
[14] A. Borshchev,et al. From System Dynamics and Discrete Event to Practical Agent Based Modeling : Reasons , Techniques , Tools , 2004 .
[15] Zhi-Long Chen,et al. A scenario-based stochastic programming approach for technology and capacity planning , 2002, Comput. Oper. Res..
[16] R. J. Kuo,et al. A sales forecasting system based on fuzzy neural network with initial weights generated by genetic algorithm , 2001, Eur. J. Oper. Res..
[17] Rustam M. Vahidov,et al. Application of machine learning techniques for supply chain demand forecasting , 2008, Eur. J. Oper. Res..
[18] Panagiotis Patrinos,et al. Time series sales forecasting for short shelf-life food products based on artificial neural networks and evolutionary computing , 2006 .
[19] C. Pantelides,et al. Design of Multi-echelon Supply Chain Networks under Demand Uncertainty , 2001 .
[20] Mikael Rönnqvist,et al. Optimization in forestry , 2003, Math. Program..
[21] Peter Kall,et al. Stochastic Linear Programming , 1975 .
[22] T. P. M. Pakkala,et al. A Bayesian approach to a dynamic inventory model under an unknown demand distribution , 2002, Comput. Oper. Res..
[23] M. Rönnqvist,et al. Dynamic Control of Timber Production at a Sawmill with Log Sawing Optimization , 2002 .
[24] S. J. Kiartzis,et al. Short-term load forecasting using neural networks , 1995 .
[25] Benita M. Beamon,et al. A multi-objective approach to simultaneous strategic and operational planning in supply chain design , 2000 .
[26] Marc Goetschalckx,et al. A stochastic programming approach for supply chain network design under uncertainty , 2004, Eur. J. Oper. Res..
[27] Antonio Espuña Camarasa,et al. An agent-based approach for supply chain retrofitting under uncertainty , 2007, Comput. Chem. Eng..
[28] Sophie D'Amours,et al. Multi-behavior agent model for planning in supply chains: An application to the lumber industry , 2008 .
[29] C. Maranas,et al. Design of Single-Product Campaign Batch Plants under Demand Uncertainty , 1998 .
[30] Ibrahim El-Amin,et al. Artificial neural networks as applied to long-term demand forecasting , 1999, Artif. Intell. Eng..
[31] Paul A. Fishwick,et al. Time series forecasting using neural networks vs. Box- Jenkins methodology , 1991, Simul..
[32] Scott R. Eliason. Maximum likelihood estimation: Logic and practice. , 1994 .
[33] Lazaros G. Papageorgiou,et al. A combined optimization and agent-based approach to supply chain modelling and performance assessment , 2001 .
[34] John D. Sterman,et al. System Dynamics: Systems Thinking and Modeling for a Complex World , 2002 .
[35] Joseph M. Milner,et al. Supply chain capacity and outsourcing decisions: the dynamic interplay of demand and supply uncertainty , 2002 .
[36] Robert Beauregard,et al. Designing logistics networks in divergent process industries: A methodology and its application to the lumber industry , 2006 .
[37] Brahim Chaib-draa,et al. An Agent Simulation Model for the Québec Forest Supply Chain , 2004, CIA.
[38] Marcus O'Connor,et al. Artificial neural network models for forecasting and decision making , 1994 .
[39] Andrei B. Utkin,et al. Development of neural network committee machines for automatic forest fire detection using lidar , 2004, Pattern Recognit..
[40] Ramesh Sharda,et al. Connectionist approach to time series prediction: an empirical test , 1992, J. Intell. Manuf..
[41] Marios C. Angelides,et al. System dynamics modelling in supply chain management: research review , 2000, 2000 Winter Simulation Conference Proceedings (Cat. No.00CH37165).
[42] Simon Haykin,et al. Neural Networks and Learning Machines , 2010 .
[43] Hau L. Lee,et al. Information distortion in a supply chain: the bullwhip effect , 1997 .
[44] M. Naim,et al. Industrial Dynamics Simulation Models in the Design of Supply Chains , 1992 .
[45] H. Van Dyke Parunak,et al. Agent-Based Modeling vs. Equation-Based Modeling: A Case Study and Users' Guide , 1998, MABS.
[46] Goh Bee Hua. Residential construction demand forecasting using economic indicators: a comparative study of artificial neural networks and multiple regression , 1996 .
[47] H. Brian Hwarng,et al. Insights into neural-network forecasting of time series corresponding to ARMA(p,q) structures , 2001 .
[48] Douglas J. Thomas,et al. Coordinated supply chain management , 1996 .
[49] C. Pantelides,et al. Design of multipurpose batch plants with uncertain production requirements , 1992 .
[50] Michael J. Shaw,et al. Modeling supply-chain networks by a multi-agent system , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.
[51] Paul H. Zipkin,et al. Evaluation of one-for-one replenishment policies for multiechelon inventory systems , 1991 .
[52] D. Meadows,et al. Resource sustainability in commodity systems: the sawmill industry in the Northern Forest , 2002 .
[53] Joong Hoon Kim,et al. A neuro-genetic approach for daily water demand forecasting , 2001 .
[54] Hau L. Lee,et al. Material Management in Decentralized Supply Chains , 1993, Oper. Res..
[55] Terry P. Harrison,et al. Global Supply Chain Management at Digital Equipment Corporation , 1995 .
[56] Koshi Yamamoto,et al. Neural network for travel demand forecast using GIS and remote sensing , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[57] Hokey Min,et al. Supply chain modeling: past, present and future , 2002 .
[58] Gloria Pérez,et al. An Approach for Strategic Supply Chain Planning under Uncertainty based on Stochastic 0-1 Programming , 2003, J. Glob. Optim..
[59] Åke Björck,et al. Numerical methods for least square problems , 1996 .
[60] Luis Rabelo,et al. Stability analysis of the supply chain by using neural networks and genetic algorithms , 2007, 2007 Winter Simulation Conference.
[61] L. Lonnstedt. A dynamic forest sector model with a Swedish case , 1986 .
[62] Michael Y. Hu,et al. Forecasting with artificial neural networks: The state of the art , 1997 .
[63] Hartmut Stadtler,et al. Supply chain management and advanced planning--basics, overview and challenges , 2005, Eur. J. Oper. Res..
[64] Mikael Rönnqvist,et al. Supply chain optimization in the pulp mill industry--IP models, column generation and novel constraint branches , 2004, Eur. J. Oper. Res..
[65] Costas D. Maranas,et al. A Two-Stage Modeling and Solution Framework for Multisite Midterm Planning under Demand Uncertainty , 2000 .
[66] Jayashankar M. Swaminathan,et al. Modeling Supply Chain Dynamics: A Multiagent Approach , 1998 .
[67] Marc Goetschalckx,et al. Strategic production-distribution models: A critical review with emphasis on global supply chain models , 1997 .
[68] Gautam Mitra,et al. Computational solution of capacity planning models under uncertainty , 2000, Parallel Comput..
[69] Mohamed Mohamed Naim,et al. The dynamics of emergency transhipment supply chains , 2000 .
[70] Amar Gupta,et al. Brief Application Description. Neural Networks Based Forecasting Techniques for Inventory Control Applications , 1998, Data Mining and Knowledge Discovery.
[71] Kazuyoshi Ishii,et al. Integrated production, inventory and distribution systems , 1988 .
[72] Tayfur Altiok,et al. Multi-stage, pull-type production/inventory systems , 1995 .
[73] Iftekhar A. Karimi,et al. Planning and scheduling of parallel semicontinuous processes. 1. Production planning , 1997 .