Decision and prediction analysis powered with operations research:
Organizations today face complex decisions and uncertainties that can have a profound impact on their financial stability and strategic direction. Traditional decision-making methods often fall short when it comes to addressing multifaceted issues like financing, product manufacturing, and facility...
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania
IGI Global
2024
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| Schlagworte: | |
| Online-Zugang: | DE-91 DE-898 DE-1050 Volltext |
| Zusammenfassung: | Organizations today face complex decisions and uncertainties that can have a profound impact on their financial stability and strategic direction. Traditional decision-making methods often fall short when it comes to addressing multifaceted issues like financing, product manufacturing, and facility location. These challenges demand a robust framework that quantifies factors, assesses risks, and provides optimal solutions. Without advanced tools and techniques, businesses are at risk of making uninformed decisions that could lead to significant financial losses and missed opportunities. The urgency to equip yourself with these tools is clear. Decision and Prediction Analysis Powered With Operations Research offers a comprehensive solution to these challenges. This book integrates operations research techniques to reframe and solve complex business problems. It provides a detailed exploration of decision analysis tools, such as influence diagrams and decision trees, which help visualize and assess various decision scenarios. By applying these tools, organizations can better understand uncertainties, evaluate risks, and make decisions that maximize expected utility and achieve strategic objectives. |
| Beschreibung: | 1 Online-Ressource (303 Seiten) |
| ISBN: | 9798369341803 |
| DOI: | 10.4018/979-8-3693-4179-7 |
Internformat
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| illustrated | Not Illustrated |
| indexdate | 2024-12-17T19:01:32Z |
| institution | BVB |
| isbn | 9798369341803 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035157980 |
| oclc_num | 1454757805 |
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| owner | DE-91 DE-BY-TUM DE-898 DE-BY-UBR DE-1050 |
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| physical | 1 Online-Ressource (303 Seiten) |
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| publisher | IGI Global |
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| spelling | Decision and prediction analysis powered with operations research Vojo Bubevski, editor Hershey, Pennsylvania IGI Global 2024 1 Online-Ressource (303 Seiten) txt rdacontent c rdamedia cr rdacarrier Organizations today face complex decisions and uncertainties that can have a profound impact on their financial stability and strategic direction. Traditional decision-making methods often fall short when it comes to addressing multifaceted issues like financing, product manufacturing, and facility location. These challenges demand a robust framework that quantifies factors, assesses risks, and provides optimal solutions. Without advanced tools and techniques, businesses are at risk of making uninformed decisions that could lead to significant financial losses and missed opportunities. The urgency to equip yourself with these tools is clear. Decision and Prediction Analysis Powered With Operations Research offers a comprehensive solution to these challenges. This book integrates operations research techniques to reframe and solve complex business problems. It provides a detailed exploration of decision analysis tools, such as influence diagrams and decision trees, which help visualize and assess various decision scenarios. By applying these tools, organizations can better understand uncertainties, evaluate risks, and make decisions that maximize expected utility and achieve strategic objectives. Prediction theory Bubevski, Vojo edt Erscheint auch als Druck-Ausgabe 9798369341797 https://doi.org/10.4018/979-8-3693-4179-7 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Decision and prediction analysis powered with operations research Prediction theory |
| title | Decision and prediction analysis powered with operations research |
| title_auth | Decision and prediction analysis powered with operations research |
| title_exact_search | Decision and prediction analysis powered with operations research |
| title_full | Decision and prediction analysis powered with operations research Vojo Bubevski, editor |
| title_fullStr | Decision and prediction analysis powered with operations research Vojo Bubevski, editor |
| title_full_unstemmed | Decision and prediction analysis powered with operations research Vojo Bubevski, editor |
| title_short | Decision and prediction analysis powered with operations research |
| title_sort | decision and prediction analysis powered with operations research |
| topic | Prediction theory |
| topic_facet | Prediction theory |
| url | https://doi.org/10.4018/979-8-3693-4179-7 |
| work_keys_str_mv | AT bubevskivojo decisionandpredictionanalysispoweredwithoperationsresearch |