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Herausgeber: 
  • Yiannis Nikolaidis
  • Quality Management in Reverse Logistics: A Broad Look on Quality Issues and Their Interaction with Closed-Loop Supply Chains 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  November 2014  
    Genre:  Naturwissensch., Medizin, Technik 
     
    B / Computer modelling & simulation / computer science / Computer simulation / engineering / Engineering economics / Engineering Economics, Organization, Logistics, Marketing / Engineering economy / Engineering# general / Industrial and Production Engineering / Industrial Management / Industrial safety / Management of specific areas / Mathematical Modeling and Industrial Mathematics / Mathematical modelling / Mathematical models / Maths for engineers / Operations Management / Probability & statistics / Production management / quality control / Quality Control, Reliability, Safety and Risk / reliability / Simulation and Modeling / Statistics
    ISBN:  9781447159384 
    EAN-Code: 
    9781447159384 
    Verlag:  Springer Nature EN 
    Einband:  Kartoniert  
    Sprache:  English  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  2701 gr 
    Seiten:  160 
    Illustration:  XII, 160 p. 
    Zus. Info:  Previously published in hardcover 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Quality Management in Reverse Logistics intends to develop, collect, examine and evaluate a number of quality management (QM) tools and techniques, which can be applied in practice in order to understand, review and improve any closed-loop supply chain process. In other words, the book aims to examine the existing relationship between various well-developed and thoroughly studied quality issues, such as QM, quality assurance, standardization of processes and statistical quality control and the emerging research area of reverse logistics. Quality Management in Reverse Logistics contains modeling and quantitative methods that could be used by practitioners and academics in the reverse logistics industry, as well as a thorough description of QM tools and techniques. The book leads the potential reader to broaden their scope of thinking and acting in the new, promising area of reverse logistics, where QM can be applied.
      
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