supply planning model for remanufacturing system in reverse logistics environment authors: kibum...
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Supply planning model for remanufa cturing system in reverse logistics e
nvironmentAuthors: Kibum Kim, Iks
oo Song, Juyong Kim, Bo ngju Jeong
Journal of Computers and Industrial Engineering
Presentation: Jirawan Niemsakul (January 28, 2011)
Conclusions Conclusions
Contents
Introduction
Supply planning model
An illustrative example
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1. Introduction
Reverse logistics can be defined as the logistics activities all the way from u
sed products no longer required by t he customer to products again usabl
e in the market.
1. Introduction
Increased environmental concerns
Stringent environmental laws.
MotivationMotivation
1. Introduction
Reuse
Recycling
Remanufacturing
Reverse logistics Reverse logistics categoriescategories
1. Introduction
Remanufacturing,Remanufacturing, is an industrial process in which worn-out products are restored to like-new condition, such as electronic machine,
toner cartridge, and automobile part.
Discarded products are completely disassembled through a series of industrial process in
factory environment. Usable parts are cleaned, refurbished, and put into part inventory.
Then the new product is reassembled from the old and, new parts to produce a fully
equivalent and superior in performance and expected lifetime to the original new product
2. Supply planning model
2.1 Framework for 2.1 Framework for remanufacturing systemremanufacturing system
2. Supply planning model
2.2 Formulation of model (Mixed-integer 2.2 Formulation of model (Mixed-integer Programming)Programming)Objective: Minimize total remanufactu
ri ngcost
Decision:
1. H ow many returned products should be throw n into the remanufacturing process such as refur
bishing and disassembling for ‘as new’ condi t i on?
2. H ow many new parts need to be purchased fro mthe external suppl i er ?
2. Supply planning model
Indices:
p = Product index, p = { 1,…..,P }i = Part index, i = { 1,…..,I }t = Time period, t = { 1,…..,T }
2. Supply planning model
Parameters:
2. Supply planning model
Decision Variables:
2. Supply planning model
Objective Function:
2. Supply planning model
Subject To:
2. Supply planning model
Subject To:
3. An illustrative example
T here are three types of products and five types of parts f rom - those products, and 10 time periods for plannin
g horizon.
3. An illustrative example
The quantity of parts requirement is generated as many as 1 .5 times of the quantity of collected pro ducts so that external
suppl i er may suppl y the shortage of remanufact uri ngquanti ty.
3. An illustrative example
The capacity of remanufacturing facility foreach individ ualproduct orpart type is set to be 1 5 0 and 9 0 0 u nits of product forcollectionand disassembly site, respect
ively, and 1 0 0 0 units of part forrefurbishing site.
T he unit purchasing cost is set to be 4 0 , 3 0 , 2 0 , 3 0 , and 2 0 dollars foreachpart type and the idle cost
of the disassembly facility and refurbishing facility are set to be 2 0 0 0 and 2 5 0 0 dollars, respectively.
The upperbound fordisposal rate of disassembled part i s set to be 0 .1 5 forallparts by whichusually company
wants to reduce remanufacturing inefficiency.
Otherrelevant cost data are also generated but not sho wnhere. Initial inventory foreachpart is set as 5 0 0 un
its.
3. An illustrative example
Example Results:
3. An illustrative example
Example Results:
3. An illustrative example
3. An illustrative example
3. An illustrative example
4. Conclusions
The research results can be guidelines on the relevant research. The proposed remanufacturing fr
amework and model can be applicable to the va ri ous i ndustri es.
A proposed model is introduced in terms of a general framework, many future works are acco rdi ngl y needed.
T he proposed model is formulated as mixed in teger programming, the computational burden
for optimal solution increases exponentially as the si ze of problemincreases.
A n efficient heuristic algorithm needs to be d - eveloped in order to solve the large scale problems i
n real business environment.