Quality Management in Reverse Logistics
A Broad Look on Quality Issues and Their Interaction with Closed-Loop Supply Chains
Nonfiction, Science & Nature, Technology, Quality Control, Business & Finance, Management & Leadership, Production & Operations Management
| Author: | ISBN: | 9781447145370 | |
| Publisher: | Springer London | Publication: | October 8, 2012 |
| Imprint: | Springer | Language: | English |
| Author: | |
| ISBN: | 9781447145370 |
| Publisher: | Springer London |
| Publication: | October 8, 2012 |
| Imprint: | Springer |
| Language: | English |
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.
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.
