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SUMMARY:Fuzzy Optimisation of Reverse Logistics Networks - Prof Dobrila Pe
 trovic - Coventry University
DTSTART:20141015T130000Z
DTEND:20141015T140000Z
UID:TALK54961@talks.cam.ac.uk
CONTACT:David Greaves
DESCRIPTION:Reverse logistics concerns the return and integration of used 
 or obsolete products back to a supply chain. Although the concept of reuse
  of products and materials is not new\, it has been gaining increasing att
 ention in the last decade or so\, from various industries\, such as automo
 tive manufacturing\, electronics and consumer appliance industries. Two ma
 in reasons for importance of product recovery are: (1) environmental\; gro
 wth of environmental awareness has led to development of new legislation c
 oncerning waste reduction requirements\, take-back obligations\, and dispo
 sal practices\, and (2) economical\; reverse logistics has been used as a 
 competitive weapon for effective reduction of the production cost and savi
 ngs in raw material.\n\nWe have considered a generic type of reverse logis
 tics network. It consists of a traditional forward production route\, insp
 ection of returned products\, and three return routes including repair\, r
 emanufacturing and disposal routes. The route which a returned product wil
 l take depends on its quality. Returned products of better quality are rep
 aired\, and of lower quality are remanufactured or disposed. It is assumed
  that demand and return quantities are uncertain. They are specified by li
 nguistic terms and modelled using fuzzy numbers. \n\nWe have developed a n
 ovel two phase fuzzy mixed integer optimisation algorithm for decision mak
 ing in the reverse logistics network. We have carried out various numerica
 l experiments and sensitivity analysis to better understand the effects of
  quality of returns and reverse logistics network parameters on the networ
 k performance. \n\nPlease locally contact Tamara Polajnar\, tp366@cl.cam.a
 c.uk\, to schedule a meeting with the speaker on the day.
LOCATION:Lecture Theatre 1\, Computer Laboratory
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