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03564nam a22005895i 4500 |
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978-1-4471-4537-0 |
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DE-He213 |
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20151204161643.0 |
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cr nn 008mamaa |
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121009s2013 xxk| s |||| 0|eng d |
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|a 9781447145370
|9 978-1-4471-4537-0
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|a 10.1007/978-1-4471-4537-0
|2 doi
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|d GrThAP
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|a TEC032000
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|a 658.56
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|a Quality Management in Reverse Logistics
|h [electronic resource] :
|b A Broad Look on Quality Issues and Their Interaction with Closed-Loop Supply Chains /
|c edited by Yiannis Nikolaidis.
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|a London :
|b Springer London :
|b Imprint: Springer,
|c 2013.
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| 300 |
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|a XII, 160 p.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
|2 rdacarrier
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|a text file
|b PDF
|2 rda
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|a 1 Reverse Logistics and Quality Management issues: state of the art -- 2 A Quality Framework in Closed Loop Supply Chains: Opportunities for Value Creation -- 3 Standardization of the Reverse Logistics process: characteristics and added value -- 4 A Framework for Evaluating the Social Responsibility Quality of Reverse Logistics -- 5 Quality Assurance and Consumer Electronics Recycling -- 6 Quality Assurance in Remanufacturing with Sensor Embedded Products -- 7 An RFID integrated quality management system for reverse logistics networks -- 8 Cases of Damage in Third-Party Logistics Businesses.
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|a 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.
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| 650 |
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|a Engineering.
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| 650 |
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|a Production management.
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| 650 |
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0 |
|a Computer simulation.
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| 650 |
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0 |
|a Mathematical models.
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| 650 |
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|a Statistics.
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| 650 |
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0 |
|a Engineering economics.
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| 650 |
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0 |
|a Engineering economy.
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| 650 |
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|a Quality control.
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| 650 |
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|a Reliability.
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| 650 |
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|a Industrial safety.
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| 650 |
1 |
4 |
|a Engineering.
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| 650 |
2 |
4 |
|a Quality Control, Reliability, Safety and Risk.
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| 650 |
2 |
4 |
|a Engineering Economics, Organization, Logistics, Marketing.
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| 650 |
2 |
4 |
|a Operations Management.
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| 650 |
2 |
4 |
|a Mathematical Modeling and Industrial Mathematics.
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| 650 |
2 |
4 |
|a Simulation and Modeling.
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| 650 |
2 |
4 |
|a Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
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| 700 |
1 |
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|a Nikolaidis, Yiannis.
|e editor.
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| 710 |
2 |
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|a SpringerLink (Online service)
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| 773 |
0 |
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|t Springer eBooks
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| 776 |
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8 |
|i Printed edition:
|z 9781447145363
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| 856 |
4 |
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|u http://dx.doi.org/10.1007/978-1-4471-4537-0
|z Full Text via HEAL-Link
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| 912 |
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|a ZDB-2-ENG
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| 950 |
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|a Engineering (Springer-11647)
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