A dynamic spare parts ordering and pricing policy based on stochastic programming with multi-choice parameters
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Publication:5035718
DOI10.1080/13873954.2016.1242140zbMath1486.90016OpenAlexW2530259789MaRDI QIDQ5035718
Guo Qing Cheng, Weiming Shen, Min Liu, Ling Li
Publication date: 22 February 2022
Published in: Mathematical and Computer Modelling of Dynamical Systems (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/13873954.2016.1242140
Multi-objective and goal programming (90C29) Stochastic programming (90C15) Transportation, logistics and supply chain management (90B06) Inventory, storage, reservoirs (90B05)
Cites Work
- Unnamed Item
- Two-stage stochastic programming problems involving multi-choice parameters
- Risk management in portfolio applications of non-convex stochastic programming
- Solving multi-choice linear programming problems by interpolating polynomials
- Revised multi-choice goal programming
- A new partial pooling structure for spare parts networks
- A note on chance constrained programming with fuzzy coefficients
- Multi-item fuzzy-stochastic supply chain models for long-term contracts with a profit sharing scheme
- Joint optimization of spare parts ordering and maintenance policies for multiple identical items subject to silent failures
- Dynamic demand fulfillment in spare parts networks with multiple customer classes
- Optimal spare ordering policy under a rebate warranty
- Dynamic decision-making for an inventory system with time-varying demand
- Multi-choice multi-objective linear programming problem
- Multiple Choice Programming (A Procedure for Linear Programming with Zero-One Variables)
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