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book (5)


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Book
Network Structures of Cargo Airlines - An Empirical and a Modelling Approach
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ISBN: 1000025525 3866447965 Year: 2012 Publisher: KIT Scientific Publishing

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Abstract

The development of efficient air freight networks is an upcoming challenge. The present book approaches this problem for cargo airlines by characterising and classifying their network structures and by developing a model for an airline's strategic network design. The book provides results which are of value for airline professionals (network efficiency analysis), policy makers (policy impact assessment) and researchers (cargo airline network design model).


Book
Modellierung und Optimierung von Hub-and-Spoke-Netzen mit beschränkter Sortierkapazität
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Year: 2005 Publisher: KIT Scientific Publishing

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Zur Bestimmung der Anzahl und Lage von Hubstandorten sowie der Transportmengen auf einzelnen Transportrelationen wird ein Hub-Location-Problem mit Direktverkehrsrelationen und beschränkter Sortierkapazität der potentiellen Hubstandorte als gemischt binäres lineares Optimierungsproblem modelliert. Somit werden bereits in der Planungsphase die Kapazitätsrestriktionen der Hubs berücksichtigt und dadurch mögliche Kapazitätsüberlastungen der Hubs sowie die daraus resultierende Errichtung von Sekundäarhubs vermieden.Zur optimalen Lösung des Hub-Location-Problems wird ein Branch-and-Bound-Verfahren eingesetzt, für das ein effizientes Näherungsverfahren zur Bestimmung von unteren Schranken in den Knoten des Suchbaums entwickelt wird. Zur Bestimmung einer Eröffnungslösung werden die heuristischen Add- und Drop-Verfahren eingesetzt. Für die im Rahmen der Eröffnungsverfahren notwendigen Berechnungen von Allokationslösungen wird ein modifizierter Tripel-Algorithmus entwickelt. Im Verlauf des Branch-and-Bound- Verfahrens werden erstmalig logische Tests bei einem Hub-Location-Problem mit dem Ziel eingesetzt, noch freie Entscheidungsvariablen des Suchbaums vorzeitig zu fixieren.Mit Hilfe der entwickelten Verfahren werden Problemgrößen mit bis zu 100 potentiellen Hubstandorten optimal gelöst. Dies ist auf den Einsatz der logischen Tests sowie die effizient Berechnung der unteren Schranken zurückzuführen. Der Einsatz der logischen Tests bewirkt eine Reduzierung der Rechenzeit um bis zu 80%.


Book
Planning and Scheduling Optimization
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development.

Keywords

Technology: general issues --- supply chain optimization --- oil and gas supply chain --- maintenance scheduling --- operation planning --- energy --- order picking --- wave planning --- warehouses --- distribution centers --- mixed integer programming --- non-linear programming --- Hadi-Vencheh model --- multiple criteria ABC inventory classification --- nonlinear weighted product model --- building material distributors --- central composite design (CCD) --- Box–Behnken design (BBD) --- optimal cost --- customer service level --- forecasting --- order planning --- inventory management --- resource-constrained project scheduling problem --- discounted cash flow maximization --- milestones payments --- simulated annealing algorithm --- slotting --- storage strategies --- stackability --- SKU --- product family --- heuristic --- metaheuristics --- scheduling --- injection molding --- hospital catering --- production scheduling --- flexible job shop problem --- mathematical model --- genetic algorithm --- local search method --- iterated local search algorithm --- competitive hub location problem --- network design --- food systems --- rural development --- mathematical programming --- crow search --- process planning --- operation sequencing --- precedence constraints --- manufacturing scheduling --- smart manufacturing --- intelligent manufacturing systems --- scheduling requirements --- cyber-physical production systems --- postman delivery --- vehicle routing problem --- particle swarm optimization algorithm --- differential evolution algorithm --- multi-criteria optimization --- simulation optimization --- production control --- multiple flexible job shop scheduling --- priority rules --- smart health care systems --- planning --- logistic systems --- benchmark --- workload balancing --- identical parallel machines --- normalized sum of square for workload deviations --- maximum completion time --- minimum completion time --- terminal location --- intermodal transportation --- simulated annealing --- mixed integer program --- incomplete networks --- n/a --- Box-Behnken design (BBD)


Book
Planning and Scheduling Optimization
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development.

Keywords

Technology: general issues --- supply chain optimization --- oil and gas supply chain --- maintenance scheduling --- operation planning --- energy --- order picking --- wave planning --- warehouses --- distribution centers --- mixed integer programming --- non-linear programming --- Hadi-Vencheh model --- multiple criteria ABC inventory classification --- nonlinear weighted product model --- building material distributors --- central composite design (CCD) --- Box–Behnken design (BBD) --- optimal cost --- customer service level --- forecasting --- order planning --- inventory management --- resource-constrained project scheduling problem --- discounted cash flow maximization --- milestones payments --- simulated annealing algorithm --- slotting --- storage strategies --- stackability --- SKU --- product family --- heuristic --- metaheuristics --- scheduling --- injection molding --- hospital catering --- production scheduling --- flexible job shop problem --- mathematical model --- genetic algorithm --- local search method --- iterated local search algorithm --- competitive hub location problem --- network design --- food systems --- rural development --- mathematical programming --- crow search --- process planning --- operation sequencing --- precedence constraints --- manufacturing scheduling --- smart manufacturing --- intelligent manufacturing systems --- scheduling requirements --- cyber-physical production systems --- postman delivery --- vehicle routing problem --- particle swarm optimization algorithm --- differential evolution algorithm --- multi-criteria optimization --- simulation optimization --- production control --- multiple flexible job shop scheduling --- priority rules --- smart health care systems --- planning --- logistic systems --- benchmark --- workload balancing --- identical parallel machines --- normalized sum of square for workload deviations --- maximum completion time --- minimum completion time --- terminal location --- intermodal transportation --- simulated annealing --- mixed integer program --- incomplete networks --- n/a --- Box-Behnken design (BBD)


Book
Planning and Scheduling Optimization
Authors: --- ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development.

Keywords

supply chain optimization --- oil and gas supply chain --- maintenance scheduling --- operation planning --- energy --- order picking --- wave planning --- warehouses --- distribution centers --- mixed integer programming --- non-linear programming --- Hadi-Vencheh model --- multiple criteria ABC inventory classification --- nonlinear weighted product model --- building material distributors --- central composite design (CCD) --- Box–Behnken design (BBD) --- optimal cost --- customer service level --- forecasting --- order planning --- inventory management --- resource-constrained project scheduling problem --- discounted cash flow maximization --- milestones payments --- simulated annealing algorithm --- slotting --- storage strategies --- stackability --- SKU --- product family --- heuristic --- metaheuristics --- scheduling --- injection molding --- hospital catering --- production scheduling --- flexible job shop problem --- mathematical model --- genetic algorithm --- local search method --- iterated local search algorithm --- competitive hub location problem --- network design --- food systems --- rural development --- mathematical programming --- crow search --- process planning --- operation sequencing --- precedence constraints --- manufacturing scheduling --- smart manufacturing --- intelligent manufacturing systems --- scheduling requirements --- cyber-physical production systems --- postman delivery --- vehicle routing problem --- particle swarm optimization algorithm --- differential evolution algorithm --- multi-criteria optimization --- simulation optimization --- production control --- multiple flexible job shop scheduling --- priority rules --- smart health care systems --- planning --- logistic systems --- benchmark --- workload balancing --- identical parallel machines --- normalized sum of square for workload deviations --- maximum completion time --- minimum completion time --- terminal location --- intermodal transportation --- simulated annealing --- mixed integer program --- incomplete networks --- n/a --- Box-Behnken design (BBD)

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