Research on model predictive control for inventory management in decentralized supply chain system

2009 International Conference on Information Management, Innovation Management and Industrial Engineering, ICIII 2009

Volumn 1, Issue , 2009, Pages 250-253

  Dong, Hai ^a   Tang, Xiao Hua ^b   Tong, Yan ^a   Li, Yan Ping ^a  

^a SHENYANG UNIVERSITY   (China)

^b LIAONING UNIVERSITY   (China)

Author keywords

Fluid analogy; Model predictive control; SPSA; Supply chain

Indexed keywords

CONTROL APPROACH; CONTROL STRATEGIES; CONTROLLER TUNING; CUSTOMER DEMANDS; DECENTRALIZED SUPPLY CHAINS; DYNAMIC BEHAVIORS; DYNAMIC PERFORMANCE; FINANCIAL BENEFITS; INVENTORY LEVELS; INVENTORY MANAGEMENT; OPTIMAL TUNING; OPTIMIZATION ALGORITHMS; ROBUST OPERATION; SAFETY STOCK; SIMULATED RESULTS; SIMULTANEOUS PERTURBATION STOCHASTIC APPROXIMATION; SPSA; SUPPLY CHAIN NETWORK;

APPROXIMATION ALGORITHMS; APPROXIMATION THEORY; CHAINS; COMPETITION; CONTROLLERS; INDUSTRIAL ENGINEERING; INFORMATION MANAGEMENT; INNOVATION; INVENTORY CONTROL; MODEL PREDICTIVE CONTROL; OPTIMIZATION; PREDICTIVE CONTROL SYSTEMS; SUPPLY CHAINS; TUNING;

SUPPLY CHAIN MANAGEMENT;

EID: 77649311648     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICIII.2009.67     Document Type: Conference Paper

References (6)

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6. J. D. Schwartz, D. E. Rivera. "Simulation-based optimal tuning of model predictive control policies for supply chain management using simultaneous perturbation stochastic approximation," Proceedings of the American Control Conference Minneapolis, Minnesota, USA, 2006, pp. 556-561.