Quality Management in Reverse Logistics (eBook)

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.

Yiannis Nikolaidis earned his PhD from the Department of Mechanical Engineering, Polytechnic School, Aristotle University of Thessaloniki in 2001. He is currently an assistant professor at University of Macedonia, where his main research area is Quality Management (QM) which contributes greatly to the improvement of product and service quality and to the reduction of quality costs not only of forward manufacturing processes but also of reverse logistics.

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The concepts of Quality Management (QM) have been used for a long time by manufacturing companies to ensure customers receive a constant and high quality level of products. But what happens with remanufactured or refurbished products? Quality Management in Reverse Logistics: A Broad Look on Quality Issues and Their Interaction with Closed-Loop Supply Chains discusses the new, promising area of QM and Reverse Logistics interaction. More specifically, it examines and evaluates a number of QM tools and techniques, which can be applied in practice in order to understand, review and improve any closed-loop supply chain process. Modeling and quantitative methods that can be used by students, practitioners and academics in the Reverse Logistics industry are described. The readers will broaden their scope of thinking in the area of Reverse Logistics, where Quality Management can be applied.