Infinite-Horizon Dynamic Programming Models - A Planning-Horizon Formulation
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Summary
The Lundin and Morton approach provides a good vehicle for investigating the non-stationary stochastic inventory problem and provides a formal infinite-horizon/planning-Horizon framework for a reasonably general form of the dynamic programming problem.
- Type
- article
- Published
- 1979-08-01
- Cited by
- 30
- References
- 22
- OpenAlex
- https://openalex.org/W2013239059
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:32957061
Keywords
Time horizon, Horizon, Dynamic programming, Mathematical optimization, Computer science
References
- OPTIMAL POLICY FOR DYNAMIC INVENTORY PROCESS WITH NON-STATIONARY STOCHASTIC DEMANDS
- General Planning Horizons for Production Smoothing with Deterministic Demands
- New Tactics in Solving Catalyst Regeneration Problems and General Resource Allocation by Dynamic Programming
- Optimality of Myopic Inventory Policies for Several Substitute Products
- Discrete Dynamic Programming
- Discounting, Ergodicity and Convergence for Markov Decision Processes
- Production-Planning Algorithms for the Inventory-Overtime Tradeoff
- On the Optimality of Structured Policies in Countable Stage Decision Processes
- Planning Horizons for Production Smoothing with Deterministic Demands: I. All Demand Met from Regular Production
- The Status of Mathematical Inventory Theory
- DENUMERABLE STATE MARKOVIAN DECISION PROCESSES: AVERAGE COST CRITERION.
- Protective Planning-Horizon Procedures for a Deterministic Cash Balance Problem
- Planning Horizons for the Dynamic Lot Size Model with Backlogging
- ON FINDING OPTIMAL POLICIES IN DISCRETE DYNAMIC PROGRAMMING WITH NO DISCOUNTING
- An Appraisal of Some Shortest-Path Algorithms
- On Finding the Maximal Gain for Markov Decision Processes
- Planning Horizons for the Dynamic Lot Size Model: Zabel vs. Protective Procedures and Computational Results
- Principles of Operations Research
- Production Planning Over Time and the Nature of the Expectation and Planning Horizon
- Studies in the Mathematical Theory of Inventory and Production, by K.J. Arrow, S. Karlin, H. Scarf with contributions by M.J. Beckmann, J. Gessford, R.F. Muth. Stanford, California, Stanford University Press, 1958, X p.340p., $ 8.75.
Cited by
- A forward algorithm and planning horizon procedure for the production smoothing problem without inventory
- EXISTENCE AND DERIVATION OF FORECAST HORIZONS IN A DYNAMIC LOT SIZE MODEL WITH NONDECREASING HOLDING COSTS
- Planning horizons for capacity expansion
- Infinite horizon nonstationary stochastic optimal control problem: A planning horizon result
- Concepts of Forecast and Decision Horizons: Applications to Dynamic Stochastic Optimization Problems
- Finite Horizon Markov Decision Processes with Uncertain Terminal Payoffs
- An application of infinite horizon stochastic dynamic programming in multi-stage project investment decision-making
- Forecast, Solution, and Rolling Horizons in Operations Management Problems: A Classified Bibliography
- Universal Planning Horizons for Generalized Convex Production Scheduling
- Properties of repetitive control of partially observed processes
- Ordering Policies in an environment of Stochastic Yields and Substitutable Demands
- Decision and Forecast Horizons in a Stochastic Environment: A Survey
- Optimal and Near Optimal Price and Advertising Strategies for Finite and Infinite Horizons
- Technical Note - Identifying Forecast Horizons in Nonhomogeneous Markov Decision Processes
- The finite horizon nonstationary stochastic inventory problem: near-myopic bounds, heuristics, testing
- A planning horizon result and a protective forward method for the bounded inventory problem with discounted concave costs
- Decision roll and horizon roll processes in infinite horizon discounted Markov decision processes
- Algoristics for Single-Machine Sequencing with Precedence Constraints
- Optimal Capacity Expansion Over an Infinite Horizon
- A New Optimality Criterion for Nonhomogeneous Markov Decision Processes
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