000 | 03376cam a2200445Ii 4500 | ||
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001 | 9781315381473 | ||
008 | 180706s2017 xx a o 000 0 eng d | ||
020 |
_a9781315321363 _q(e-book: Mobi) |
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020 |
_a9781315381473 _q(e-book : PDF) |
||
020 |
_z9781138197299 _q(paperback) |
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020 |
_z9781482259216 _q(hardback) |
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024 | 7 |
_a10.4324/9781315381473 _2doi |
|
035 | _a1315381478 | ||
040 |
_aFlBoTFG _cFlBoTFG _erda |
||
050 | 4 |
_aTS157.5 _bB688 2017 |
|
082 | 0 | 4 | _a658.500151 |
100 | 1 |
_aBottlik, Geza Paul, _eauthor. _920253 |
|
245 | 1 | 3 |
_aAn Introduction to the Mathematics of Planning and Scheduling / _cGeza Paul Bottlik. |
250 | _aFirst edition. | ||
264 | 1 |
_aLondon : _bTaylor and Francis, _c2017. |
|
300 | _a1 online resource | ||
336 |
_atext _2rdacontent |
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337 |
_acomputer _2rdamedia |
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338 |
_aonline resource _2rdacarrier |
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505 | 0 | 0 | _achapter 1 Introduction -- chapter 2 A Brief History -- chapter 3 Inventory -- chapter 4 Production Planning -- chapter 5 Manufacturing Requirements Planning -- chapter 6 Scheduling Problems -- chapter 7 Generation of Schedules -- chapter 8 Algorithms for One-Machine Problems -- chapter 9 Algorithms for Two-Machine Problems and Extensions to Multiple Machines -- chapter 10 Implicit Enumerations -- chapter 11 Optimization -- chapter 12 Heuristic Approaches -- chapter 13 Parallel Machines and Worst Case Bounds -- chapter 14 Relaxation of Assumptions -- chapter 15 Dynamic and Stochastic Problems. |
520 | 2 | _a"This book introduces readers to the many variables and constraints involved in planning and scheduling complex systems, such as airline flights and university courses. Students will become acquainted with the necessity for scheduling activities under conditions of limited resources in industrial and service environments, and become familiar with methods of problem solving.Written by an expert author with decades of teaching and industry experience, the book provides a comprehensive explanation of the mathematical foundations to solving complex requirements, helping students to understand underlying models, to navigate software applications more easily, and to apply sophisticated solutions to project management. This is emphasized by real-world examples, which follow the components of the manufacturing process from inventory to production to delivery. Undergraduate and graduate students of industrial engineering, systems engineering, and operations management will find this book useful in understanding optimization with respect to planning and scheduling."--Provided by publisher. | |
650 | 0 |
_aBUSINESS & ECONOMICS / Industrial Management. _920254 |
|
650 | 0 |
_aBUSINESS & ECONOMICS / Management Science. _920255 |
|
650 | 0 |
_aBUSINESS & ECONOMICS / Management. _920256 |
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650 | 0 |
_aProduction planning _xMathematics. _920257 |
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650 | 0 |
_aProduction scheduling _xMathematics. _920258 |
|
650 | 0 | 4 |
_aIndustrial Engineering & Manufacturing _920259 |
650 | 0 | 4 |
_aManufacturing Engineering _920260 |
650 | 0 | 4 |
_aMathematics & Statistics for Engineers _913370 |
650 | 0 | 7 |
_aBUSINESS & ECONOMICS / Business Mathematics _2bisacsh _920261 |
650 | 0 | 7 |
_aMATHEMATICS / Applied _2bisacsh _96859 |
776 | 0 | 8 |
_iPrint version: _z9781482259216 _w(DLC) 2016043141 |
856 | 4 | 0 |
_uhttps://www.taylorfrancis.com/books/9781482259254 _zClick here to view. |
942 | _cEBK | ||
999 |
_c72338 _d72338 |