PROCEEDINGS IPMU '08
Solving a Seal-Bid Reverse Auction by Fuzzy Multiple objective programming
Chi-Bin Cheng, Yu-Ru Syau, Rung-Tsung Tzeng.
This study solves a sealed-bid and
multiple issue reverse auction problem.
At the supplier side, the bidding process
is formulated as a fuzzy multiple
objective programming to assist the
supplier determining its optimum offer,
while at the buyer side, the selection of
the best offer from suppliers is
considered as a multiple attribute
decision making problem and is solved
by the TOPSIS method. The solution to
the supplier’s fuzzy multiple objective
problem is obtained by a heuristic
algorithm that adjusts the production
plan to fulfill the buyer’s demand based
on the information of current master
production schedule and available-to-promise
inventory.
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