A dynamic spare parts ordering and pricing policy based on stochastic programming with multi-choice parameters
Author:
Affiliation:
1. Lab of Intelligent Maintenance System & Service, School of Electronic and Information Engineering, Tongji University, Shanghai, P.R. China
2. School of Information Engineering, Jingdezhen Ceramic Institute, Jingdezhen, P.R. China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
Applied Mathematics,Computer Science Applications,Modelling and Simulation,Software,Control and Systems Engineering
Link
https://www.tandfonline.com/doi/pdf/10.1080/13873954.2016.1242140
Reference34 articles.
1. Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice
2. A new partial pooling structure for spare parts networks
3. A method for transformation of engineering bill of materials to maintenance bill of materials
4. A Discrete Stress–Strength Interference Theory-Based Dynamic Supplier Selection Model for Maintenance Service Outsourcing
5. Diversified firms on dynamical supply chain cope with financial crisis better
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2. Multi‐choice best‐worst multi‐criteria decision‐making method and its applications;International Journal of Intelligent Systems;2021-09-14
3. Optimization of Spare Parts Varieties Based on Stochastic DEA Model;IEEE Access;2018
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