Maike Renate (15 results)

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condition: As New. wie neu.

Paperback. Condition: new. Paperback. Synthesis of energy systems is a complex design task with a plethora of decision options. To evaluate these decision options, mathematical optimization is often used to identify the optimal solution. However, for decision support, more information than just the optimal solution is required. The decision maker needs to know design alternatives and their trade-offs to make a well-informed decision. Hence, mathematical optimization should be used as tool to generate multiple design alternatives. One way to generate design alternatives is the exploration of the near-optimal solution space.In this thesis, a decision support system is proposed for decision support by analysis of the near-optimal solution space. The near-optimal solution space consists of the near-optimal design space and the near-optimal objective space. For exploration of the objective space, a method is proposed to efficiently identify solutions which reveal trade-offs in the objective functions. For the design space, a method is proposed to span all near-optimal design alternatives by minimizing and maximizing design variables. The decision support system provides a holistic analysis of the near-optimal solution space by combining solutions from the near-optimal objective space and the design space. All generated solutions are analyzed to reveal feasible ranges of variables and objective functions. Additionally, the analysis determines trade-offs between decisions in both the design space and the objective space. Based on the results of the analysis, the decision maker can derive preferences. In an interactive feedback loop, these preferences are added to the synthesis problem to support the final synthesis decision.The proposed decision support system is applied to two real-world case studies. The first case study originates from pharmaceutical industry and focuses on the supply side of an energy system; the second case study is a retrofit of an urban energy system and also takes into account demand-side measures such as investments in insulation. For these two entirely different case studies, the decision support system provides decision support by identifying feasible designs, their costs and emissions, and the most important design trade-offs. Thereby, the decision maker is enabled to take well-informed decisions in the synthesis of energy systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Gebundene Ausgabe. Condition: Wie neu. 1... 160 S. Alle Bücher & Medienartikel von Book Broker sind stets in gutem & sehr gutem gebrauchsfähigen Zustand. Dieser Artikel weist folgende Merkmale auf: Helle/saubere Seiten in fester Bindung. Sprache: Deutsch Gewicht in Gramm: 290.

Hardcover. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Hardcover. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 9-10 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Paperback. Condition: new. Paperback. Synthesis of energy systems is a complex design task with a plethora of decision options. To evaluate these decision options, mathematical optimization is often used to identify the optimal solution. However, for decision support, more information than just the optimal solution is required. The decision maker needs to know design alternatives and their trade-offs to make a well-informed decision. Hence, mathematical optimization should be used as tool to generate multiple design alternatives. One way to generate design alternatives is the exploration of the near-optimal solution space.In this thesis, a decision support system is proposed for decision support by analysis of the near-optimal solution space. The near-optimal solution space consists of the near-optimal design space and the near-optimal objective space. For exploration of the objective space, a method is proposed to efficiently identify solutions which reveal trade-offs in the objective functions. For the design space, a method is proposed to span all near-optimal design alternatives by minimizing and maximizing design variables. The decision support system provides a holistic analysis of the near-optimal solution space by combining solutions from the near-optimal objective space and the design space. All generated solutions are analyzed to reveal feasible ranges of variables and objective functions. Additionally, the analysis determines trade-offs between decisions in both the design space and the objective space. Based on the results of the analysis, the decision maker can derive preferences. In an interactive feedback loop, these preferences are added to the synthesis problem to support the final synthesis decision.The proposed decision support system is applied to two real-world case studies. The first case study originates from pharmaceutical industry and focuses on the supply side of an energy system; the second case study is a retrofit of an urban energy system and also takes into account demand-side measures such as investments in insulation. For these two entirely different case studies, the decision support system provides decision support by identifying feasible designs, their costs and emissions, and the most important design trade-offs. Thereby, the decision maker is enabled to take well-informed decisions in the synthesis of energy systems. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…

Hardcover. Condition: Brand New. German language. 9.45x6.46x0.71 inches. In Stock.

Hardcover. Condition: Brand New. German language. 9.45x6.85x0.71 inches. In Stock.

Hardcover. Condition: Brand New. German language. 9.76x7.24x0.79 inches. In Stock.

Hardcover. Condition: Brand New. German language. 9.53x6.85x0.79 inches. In Stock.

Hardcover. Condition: Brand New. German language. 9.45x6.69x0.71 inches. In Stock.

paperback. Condition: Wie neu. 190 Seiten; *** Neuwertig, ungelesen, als Geschenk geeignet. M26-03-D-06-LN Sprache: Deutsch Gewicht in Gramm: 500.

Condition: Neu. 1., Aufl. 160 Seiten Neues ungelesenes Exemplar. Fach 48M 48M Sprache: Deutsch Gewicht in Gramm: 774 0,0 x 0,0 x 0,0 cm, Gebundene Ausgabe.

Softcover. Condition: gut. 1999. Dieses alltagsorientierte, interdisziplinäre Behandlungskonzept zeigt, wie Patienten durch gezieltes Training der Übergang aus der »behüteten« Situation in der Reha-Klinik in den Alltag erleichtert werden kann. Das Reha-Team führt seine Behandlung auch außerhalb der Klinik fort. Das Buch zeigt Welche Patienten für die AOT in Frage kommen, wie die Alltagsexkursion vorbereitet wird, wo der Therapeut sich zurücknehmen muss und wo er Hilfestellungen geben sollte. Sehr viele detaillierte Fallbeispiele helfen, sich in die Lage des Therapeuten bzw. Patienten zu versetzen. Das gezeigte Konzept lässt sich leicht auch auf andere Krankheitsbilder übertragen. ISBN-10 3-13-117591-5 3131175915 ISBN-13 978-3-13-117591-5 9783131175915AOT - Alltagsorientierte Therapie bei Patienten mit erworbener Hirnschädigung. Eine Aufgabe für das gesamte Reha-Team von Renate Götze, Benita Höfer, Maike Daumüller, Georg Kerkhoff, Gabi Miethe, Susanne Pätzold, Prisca Stenneken, Conny Wenz (Herausgeber) Thieme Thieme Georg Verlag MVS Medizinverlage Medizin Pharmazie Physiotherapie Ergotherapie Rehabilitation Neuro-Rehabilitation Alltagsorientierte Therapie AOT Praxis Medizinische Fachberufe Hirngeschädigte Hirnverletzung NeurologieHirnschädigung Hirngeschädigte Hirnverletzung Neurologie Neuro-Rehabilitation Ergotherapie Rehabilitation AOT Alltagsorientierte Therapie Medizin Pharmazie Physiotherapie Alltagsorientierte Therapie AOT Praxis Medizinische Fachberufe Krankenhaus Patienten In deutscher Sprache. 190 pages. 24,3 x 17,2 x 1,4 cm.…