Production and process management: An optimal control approach
Autor: | Md. Haider Ali Biswas, Ahad Ali |
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Jazyk: | angličtina |
Rok vydání: | 2016 |
Předmět: |
Mathematical optimization
Process (engineering) Computer science industrial engineering media_common.quotation_subject Control (management) 0211 other engineering and technologies 02 engineering and technology 030230 surgery Management Science and Operations Research Process management (computing) state constraint 03 medical and health sciences optimal control 0302 clinical medicine Maximum principle numerical application Production (economics) Quality (business) Operations management lcsh:Management information systems media_common 021103 operations research Optimal control lcsh:T58.6-58.62 Key (cryptography) production and process |
Zdroj: | Yugoslav Journal of Operations Research, Vol 26, Iss 3, Pp 331-342 (2016) |
ISSN: | 0354-0243 |
Popis: | Optimal control and efficient management of industrial products are the key for sustainable development in industrial and process engineering. It is well-known that proper maintenance of process performance, ensuring the quality products after a long time operation of the system, is desirable in any industry. Nonlinear dynamical systems may play crucial role to appropriately design the model and obtain optimal control strategy in production and process management. This paper deals with a mathematical model in terms of ordinary differential equations (ODEs) that describe control of production and process arising in industrial engineering. The optimal control technique in the form of maximum principle, used to control the quality products in the operation processes, is applied to analyze the model. It is shown that the introduction of state constraint can be advantageous for obtaining good products during the longer operation process. We investigate the model numerically, using some known nonlinear optimal control solvers, and we present the simulation results to illustrate the significance of introducing state constraint onto the dynamics of the model. |
Databáze: | OpenAIRE |
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