Introduction to mathematical models in operations planning
CRC Press (Verlag)
978-1-032-19199-7 (ISBN)
Includes a broad collection of methodologies, trends, and emerging topics from time series forecasting in operations management
Demonstrates a comprehensive approach in building quantitative analyses, and their preparation
Benefits from the expertise and knowledge of the leading professionals, scholars, and researchers in the field
Reviews recent developments, capabilities, propositions, solutions, and future challenges in time series forecasting
Presents new perspectives for applying time series forecasting in machine learning and operations management
Halit Alper Tayalı is an assistant professor of business with expertise in enhancing productivity and efficiency. As a co-editor of Istanbul Business Research, an ESCI-indexed journal, his commitment to advancing research and knowledge in the field is evident. With a solid academic background, including studies at Istanbul American Robert College, Koç University, and ESC Rennes, he has practical experience through involvement in his family business. His entrepreneurial spirit led him to co-found a software development startup with support from the Scientific and Technological Research Council of Türkiye, highlighting his dedication to innovation and practical applications. As his academic journey continues at Istanbul University, he empowers individuals in the realm of production planning and beyond, driving progress and excellence.
Preface
CHAPTER 1: Introduction
CHAPTER 2: Operations planning
CHAPTER 3: Manufacturing processes
CHAPTER 4: Facility layout and line balancing
CHAPTER 5: Project scheduling
CHAPTER 6: Work center scheduling
CHAPTER 7: Linear programming in operations planning
CHAPTER 8: Aggregate operations planning
REFERENCES
Erscheinungsdatum | 29.07.2023 |
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Zusatzinfo | Illustrationen |
Verlagsort | London |
Sprache | englisch |
Maße | 138 x 216 mm |
Gewicht | 453 g |
Einbandart | gebunden |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Mathematik / Informatik ► Mathematik | |
Wirtschaft ► Betriebswirtschaft / Management ► Logistik / Produktion | |
ISBN-10 | 1-032-19199-6 / 1032191996 |
ISBN-13 | 978-1-032-19199-7 / 9781032191997 |
Zustand | Neuware |
Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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