Model-based predictive control for generalized production planning problems
Computers in IndustryPublished 1 November 1997Open access
Spyros G. Tzafestaş, George Kapsiotis, Efthimios Kyriannakis
Citations51
Generate an AI Snapshot to get a quick, structured summary of this paper.
Study Snapshot
ObjectiveStudy objective
MethodsResearch methodology
PopulationPopulation studied
Sample sizeSample sizes
OutcomesStudy outcomes here
ResultsStudy results comes here
LimitationsResearch study limitations comes here
A concise AI-generated summary of the paper will appear here once you click Generate AI Snapshot.
TL;DR
The concept of model-based predictive control used as a decision-making tool for handling complex integrated production planning problems within a stochastic environment is introduced and a functional overview of the MBPC methodology is provided.
Abstract
This paper introduces and elucidates the concept of model-based predictive control (MBPC) used as a decision-making tool for handling complex integrated production planning problems within a stochastic environment. First, a functional overview of the MBPC methodology is provided, then the framework under which the MBPC approach is used as a decision-making tool is given. Simulation experiments have strongly indicated the flexibility and effectiveness of the proposed approach. (C) 1997 Elsevier Science B.V.
Keywords
Engineering
Journal of Marketing ResearchEconometric Measurement of the Duration of Advertising Effect on Sales
630 Citations1976Darral G. Clarke
Operations ResearchAn Operations-Research Study of Sales Response to Advertising
614 Citations1957M. L. Vidale, Harry B. Wolfe
Model predictive control in the process industry
595 Citations1995Eduardo F. Camacho, Carlos A. Bordons
International series in quantitative marketingMarket Response Models: Econometric and Time Series Analysis
488 Citations1989Dominique M. Hanssens, Leonard J. Parsons +1 more
CERN Document Server (European Organization for Nuclear Research)Dynamic programming: Models and applications
413 Citations1982Eric V. Denardo
Operations ResearchFeature Article—Aggregate Advertising Models: The State of the Art
372 Citations1979John D. C. Little
A review of aggregate models developed on a priori grounds brings out similarities and differences among those of Vidale and Wolfe, Nerlove and Arrow, Little, and others and identifies ways in which the models agree or disagree with observed phenomena.
Medical Entomology and ZoologyPredictive Control: A Unified Approach
372 Citations1992R. Soeterboek
Unified predictive controller design analysis of design parameters predictive control with controller output constraints applications conclusions and suggestions.
TechnometricsApplied Stochastic Control in Econometrics and Management Science
161 Citations1981Paul I. Feder
Management ScienceAn Analytic Framework for Evaluating Rolling Schedules
105 Citations1979Kenneth R. Baker, David W. Peterson
Journal of the Operational Research SocietyApplied Stochastic Control in Econometrics and Management Science
86 Citations1981Chris Beaumont
European Journal of Operational ResearchStochastic control theory and operational research
55 Citations1984Reinhard Neck
Operations ResearchOptimum Advertising and Goodwill under Uncertainty
49 Citations1978Charles S. Tapiero
A stochastic advertising model for a monopoly firm is constructed and resolved for specific forms of feedback advertising policy and optimum advertising policies of the open-loop and feedback type are derived.
Optimal Control Applications and MethodsAn Optimal control approach to marketing‐production planning
45 Citations1982P.L. Abad
The problem of finding an optimal advertising and production policy in a firm is analysed using a recently proposed model of a marketing-production system and it is shown that the optimal control problem underlying the proposed model is a partially singular control problem.
Management ScienceDiscrete Optimal Control of Production Plans
44 Citations1975Paul R. Kleindorfer, Charles H. Kriebel +2 more
Operations ResearchOn-Line and Adaptive Optimum Advertising Control by a Diffusion Approximation
38 Citations1975Charles S. Tapiero
A diffusion approximation to a stochastic advertising model of the Vidale-Wolfe type is formulated that allows solution of problems of optimum and on-line sales forecasting, parameter identification, and advertising control under uncertainty.
European Journal of MarketingThe Specification of Aggregate Market Models
28 Citations1987John Saunders
European Journal of Operational ResearchStochastic diffusion models with advertising and word-of-mouth effects
27 Citations1983Charles S. Tapiero
A I I E TransactionsSynthesizing Short Run Production and Marketing Decisions
23 Citations1977Ulf Peter Welam
Management ScienceOptimal Production Smoothing and Safety Inventory
22 Citations1974Christoph Schneeweiß
Operations ResearchOptimal Control of Production Sequences: A Continuous Parameter Analysis
18 Citations1982R. G. Vickson
This paper treats two problems in the optimal control of such sequences, using a continuous work formulation in which the uncontrolled schedule deviation is a Wiener process, and proves the existence of a transient single critical-number optimal policy.
International Journal of Systems ScienceDynamic certainty equivalents in production smoothing theory
18 Citations1975Christoph Schneeweiß
Munich Personal RePEc Archive (Ludwig Maximilian University of Munich)Simple Models in Stochastic Production Planning.
18 Citations1978Suresh Sethi, Gerald L. Thompson
Operations ResearchInformation Systems for Observing Inventory Levels
17 Citations1979Edward A. Stohr
This paper analyzes some problems in the design of information systems for observing and reporting inventory levels and develops techniques for information system design and provides numerical examples.
IEEE Transactions on Automatic ControlLinear convex stochastic optimal control with applications in production planning
17 Citations1973Paul R. Kleindorfer, K. Glover
Linear stochastic systems with convex performance criteria and convex, compact control regions are studied and the optimal return function is shown to be convex.
European Journal of Operational ResearchAn analysis of terminal conditions in rolling schedules
16 Citations1981Kenneth R. Baker
International Journal of Systems ScienceOptimal linear control of linear production-inventory systems
14 Citations1976Gerard Gaalman
Management ScienceSmoothing Production by Inventory—An Application of the Wiener Filtering Theory
14 Citations1971Christoph Schneeweiß
Journal of the Operational Research SocietyManagement Applications of Modern Control Theory
11 Citations1976Adam Taylor
International Journal of Systems ScienceOn optimization of sales, production and inventory using a stochastic model
9 Citations1973A.J. Koivo, C. L. HENDRICKS
A production-inventory problem with advertising control of the sales is cast in a form amenable to solution by discrete-time optimal control theory and the results are interpreted so as to establish guidelines for decisions by management.
Optimal Control Applications and MethodsOptimal control of production and marketing systems with distributed time lags
6 Citations1987Sungbin Choi, Hark Hwang
International Journal of Systems ScienceA problem in jointly optimal production and advertising decisions
6 Citations1986Mahmut Parlar
International Journal of Systems ScienceNear optimal production policies for a discrete production-inventory system with stochastic demand
5 Citations1977Pratap K.J. Mohapatra, KAILAS C. SABU
A new generalized model-based predictive control algorithm
5 Citations2002Spyros G. Tzafestaş, G.A. Vagelatos +1 more
A unified generalized model-based predictive control (GMBPC) technique is presented, which combines in an efficient way the key properties of several previous MBPC-like algorithms to reduce the computational complexity of the resulting GMBP controller.
Inventory Production Theory a Linear Policy Approach
3 Citations1977Christoph Schneeweiß
International Journal of Systems ScienceOn the design of stationary feedback regulators for linear discrete systems
2 Citations1978Α.Κ. Mahalanabis, Ν.Κ. Sinha
A new approach to the problem of stationary feedback controller design for linear time-invariant systems in the discrete time domain is presented and it is shown that the gain vector that defines a state feedback controller is conveniently computed if the design criterion corresponds to the specified values of n members of the output sequence.