Returned products of many industries are transported backwards through supply
chains for recovery, thus forming &ldquo / closed-loop supply chains&rdquo / . Benefits,
forthcoming with more effective management of recovery of returns are gaining
importance. However, some issues, such as lack of information required to assess
the quality of the returned products, may translate into critical uncertainties in the
product recovery decisions and prevent closed-loop supply chains from operating
efficiently. Hence, it is envisaged that significant economies may be attained by
increasing the quantity of information fed into the planning decisions related to
returned products. Thus, the objective of this study is to test the hypothesis that
ready availability of perfect quality grade information associated with returned
products by means of &ldquo / embedded systems&rdquo / , may lead to improved over all
performance of recovery operations. To this end, in this thesis, linear
programming models of generic multistage recovery processes are built. It is
demonstrated by computational studies that significant gains may be obtained
especially in environments where the prices of recovered products are decreasing
in time.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12610453/index.pdf |
| Date | 01 February 2009 |
| Creators | Atabarut, Altan |
| Contributors | Bayindir, Zeynep Pelin |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
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