LEADER 04287nam 2200493 450 001 9910830481803321 005 20221209111422.0 010 $a1-119-86286-8 010 $a1-119-86284-1 024 7 $a10.1002/9781119862864 035 $a(MiAaPQ)EBC6995511 035 $a(Au-PeEL)EBL6995511 035 $a(CKB)22573878400041 035 $a(OCoLC)1319692123 035 $a(OCoLC-P)1319692123 035 $a(CaSebORM)9781119862833 035 $a(EXLCZ)9922573878400041 100 $a20221209d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aControl theory applications for dynamic production systems $etime and frequency methods for analysis and design /$fNeil A. Duffie 205 $aFirst edition. 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Inc.,$d[2022] 210 4$dİ2022 215 $a1 online resource (322 pages) 311 08$aPrint version: Duffie, Neil A. Control Theory Applications for Dynamic Production Systems Newark : John Wiley & Sons, Incorporated,c2022 9781119862833 327 $aContinuous-Time and Discrete-Time Modeling of Production Systems -- Transfer Functions and Block Diagrams -- Fundamental Dynamic Characteristics and Time Response -- Frequency Response -- Design of Decision-Making for Closed-Loop Production Systems -- Application Examples -- Bibliography. 330 $a"Production planning, operations and control are being transformed by digitization, creating opportunities for automation of decision making, reduction of delays in making and implementing decisions, and significant improvement of production system performance. Meanwhile, to remain competitive, today's production industries need to adapt to increasingly dynamic and turbulent markets. In this environment, production engineers and managers can benefit from tools of control system engineering that allow them to mathematically model, analyze and design dynamic, changeable production systems with behavior that is effective and robust in the presence of turbulence. Research has shown that the tools of control system engineering are important additions to the production system engineer's toolbox, complementing traditional tools such as discrete event simulation. However, many production engineers are unfamiliar with application of these tools in their field. This book is a practical yet thorough introduction to the use of transfer functions and control theoretical methods in the modeling, analysis and design of the dynamic behavior of production systems. Production engineers and managers will find this book a valuable and fundamental resource for improving their understanding of the dynamic behavior of modern production systems and guiding their design of future production systems. In this book, emphasis is placed on analysis and examples that illustrate the opportunities that control theoretical time and frequency perspectives present for understanding and designing the behavior of dynamic production systems. The dynamic behavior of the components of these systems and their interactions must be understood first before decision making can be designed and implemented that results in favorable overall dynamic behavior of the production system, particularly when the structure contains feedback. In the re-planning system with the structure in Figure 1.1, control theoretical modeling and analysis reveals relationships between the frequency of re-planning decisions and delays in making and implementing decisions that results undesirable oscillatory behavior unless these relationships are taken into account in design of replanning decision making. Benefits of reducing delays using digital technologies can be quantified and used to guide re-planning cycle redesign"--$cProvided by publisher. 606 $aProduction control 606 $aControl theory 615 0$aProduction control. 615 0$aControl theory. 676 $a658.5/6 700 $aDuffie$b Neil A.$0491102 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830481803321 996 $aControl theory applications for dynamic production systems$94009093 997 $aUNINA