Application of Cyber-Physical System and Real-Time Control Construction Algorithm in Supply Chain Management Problem

Various classes of cyber-physical systems are the basis of digital and computer-integrated production and the digital economy as a whole. They include measuring, telecommunication and control subsystems with embedded software in various types of hierarchical structures. At the present paper supply chains (SC) are considered as highly dynamic systems. To improve the efficiency of incoming information about the current state of the SC and timeliness of the data we suggest to use cyber-physical systems. Here we consider the SC execution problem in the case of unforeseen events, it is one of the important problems in SC management. The advantage of this approach is that cyber-physical systems have been applied and the classical methods of optimal program and position control have been transferred and modified for supply chain management.

[1]  Zhi-Long Chen,et al.  Order Assignment and Scheduling in a Supply Chain , 2006, Oper. Res..

[2]  Ignacio E. Grossmann,et al.  Dynamic modeling and classical control theory for supply chain management , 2000 .

[3]  M. Ortega,et al.  Control theory applications to the production–inventory problem: a review , 2004 .

[4]  Daniel E. Rivera,et al.  Simulation-based optimization of process control policies for inventory management in supply chains , 2006, Autom..

[5]  William Stallings,et al.  Introduction to Systems Analysis , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[6]  Boris Sokolov,et al.  Analysis of position optimization method applicability in supply chain management problem , 2015, 2015 International Conference "Stability and Control Processes" in Memory of V.I. Zubov (SCP).

[7]  Boris Sokolov,et al.  Methods and algorithms of ship-building manufactory operation and resources scheduling , 2017 .

[8]  D. Ivanov,et al.  Ripple Effect in the Time-Critical Food Supply Chains and Recovery Policies , 2015 .

[9]  A. S. Popkov,et al.  Application of adaptive method of linear programming for technical objects control , 2014, 2014 International Conference on Computer Technologies in Physical and Engineering Applications (ICCTPEA).

[10]  F. Chernousko.  State Estimation for Dynamic Systems , 1993 .

[11]  Alexandre Dolgui,et al.  Dynamic recovery policies for time-critical supply chains under conditions of ripple effect , 2016 .

[12]  Wayne H. Wolf,et al.  Cyber-physical Systems , 2009, Computer.

[13]  Edward A. Lee.  The Past, Present and Future of Cyber-Physical Systems: A Focus on Models , 2015, Sensors.

[14]  Boris V. Sokolov,et al.  Multiple-Model Description and Control Construction Algorithm of Supply Chain , 2018, CSOC.

[15]  Boris V. Sokolov,et al.  Application of Control Theoretic Tools to Supply Chain Disruptions Management , 2013, MIM.

[16]  Ramon Vilanova,et al.  Inventory control for the supply chain: An adaptive control approach based on the identification of the lead-time , 2012 .