000			04274cam a22003978i 4500
001			22359771
003			CSPC
005			20250811155804.0
008			211222s2022 nju b 001 0 eng
010			_a 2021061541
020			_a9781119862833 _q(hardback)
035			_a22359771
040			_aDLC _beng _erda _cDLC _dCSPC
042			_apcc
050	0	0	_aTS157 _b.D84 2022
082	0	0	_a658.56 _bD873c _223/eng/20220520
100	1		_aDuffie, Neil A, _eauthor.
245	1	0	_aControl theory applications for dynamic production systems : _btime and frequency methods for analysis and design / _cNeil A. Duffie.
250			_aFirst edition.
263			_a2205
264		1	_aHoboken, New Jersey : _bJohn Wiley & Sons, Inc., _c2022.
300			_axv, 304 pages : _billustrations ; _c26 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
504			_aIncludes bibliographical references and index.
505	0		_aIntroduction -- Continuous- 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.
520			_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.
650		0	_aProduction control.
650		0	_aControl theory.
776	0	8	_iOnline version: _aDuffie, Neil A. _tControl theory applications for dynamic production systems _bFirst edition. _dHoboken, NJ : John Wiley & Sons, Inc., 2022 _z9781119862840 _w(DLC) 2021061542
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK _e23 _h658.56 _iD873c _kENG _m2022 _n0
999			_c29969 _d29969