A stochastic production planning problem with nonlinear cost

Most production planning models are deterministic and often assume a linear relation between production volume and production cost. In this paper, we investigate a production planning problem in a steel production process considering the energy consumption cost which is a nonlinear function of the p...

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Veröffentlicht in:	Computers & operations research Jg. 39; H. 9; S. 1977 - 1987
Hauptverfasser:	Tang, Lixin, Che, Ping, Liu, Jiyin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.09.2012 Elsevier Pergamon Press Inc
Schlagworte:	Algorithms Applied sciences Demand Energy consumption Exact sciences and technology Heuristic Integer programming Inventory Inventory control, production control. Distribution Linear programming Marketing Mathematical analysis Mathematical models Mathematical programming Mathematics MINLP Nonlinearity Operational research and scientific management Operational research. Management science Probability and statistics Production planning Sampling theory, sample surveys Scenario-based approach Sciences and techniques of general use Statistics Steel production Stepwise Lagrangian relaxation Stochastic models Stochastic production planning Stochasticity Studies Variable splitting MINLP Stepwise Lagrangian relaxation Stochastic production planning Variable splitting Scenario-based approach Inventory Energy consumption Non linear programming Production function Polynomial method Linear model Optimization Lagrange multiplier Uncertain system Production planning Relaxation method Production process Script Quantity production Linear programming Mixed integer programming Stochastic programming Polynomial time Production management Supply demand balance Deterministic model Non linear model Heuristic method Production cost Approximation error Mixed problem Piecewise linearization Piecewise-linear techniques
ISSN:	0305-0548, 1873-765X, 0305-0548
Online-Zugang:	Volltext
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