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Due to a varying product demand (changing product mix) and different production speeds, bottlenecks may shift between the stages. In that case, a simultaneous lot-sizing and scheduling of these stages is recommendable. Hence, an improved version of the General Lot-Sizing and Scheduling Problem for Multiple production Stages (GLSPMS) was developed. Moreover, several reformulation techniques were applied to this model to solve it exactly. Besides, a new meta-heuristic which combines the principles of Variable Neighborhood Decomposition Search (VNDS) and Exchange was implemented to find good solutions, even for a real-world problem case. Finally, further model extensions, e.g., for scarce setup resources, were proposed.
Advanced Planning Systems (APS) are a key enabler of the supply chain management. However, APS are highly complex and difficult to comprehend. This book provides students with valuable insights into the capabilities of state-of-the-art APS and bridges the gap between theory (model building and solution algorithms), software implementation, and adaptation to a specific business case. Our business case – named Frutado – provides a unifying framework for illustrating the different planning tasks that arise in a company – from demand planning to the distribution of goods – that are addressed by APS. In addition, the book guides through interactive learning units which have been created and recorded for each module of SAP ́s APS. Learning units can be downloaded free of charge ready to be displayed in a web browser. Together, the textbook and the learning units provide the required skills to better understand the concepts, models, and algorithms underlying today ́s APS.
Dieses Lehrbuch behandelt quantitative Lösungsansätze für Probleme aus dem Bereich der Produktionsplanung, vor allem aus der Programmplanung und der dynamischen Losgrößen- planung unter deterministischen und stochastischen Bedingungen. In der Terminologie der Business Analytics handelt es sich um Probleme der Prescriptive Analytics, also um die Anwendung von Modellen und Lösungsalgorithmen zur Vorbereitung von Entscheidungen. Zur Vervollständigung einer konkreten Problemdefinition mit den relevanten Daten wird auf die Ergebnisse der in der Lehrbuchliteratur ausführlich beschriebenen Methoden der Descriptive Analytics (Datensammlung, ...) und der Predictive Analytics (Prognosemethoden, ...) zurückgegriffen. Das Buch ist die neu bearbeitete 7. Auflage des Lehrbuchs "Produktionsplanung in Supply Chains".
Includes 2 editions of v. 24, no. 2; one with dissertation statement.
Includes 2 editions of v. 24, no. 2; one with dissertation statement.
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