A dynamic programming–enhanced simulated annealing algorithm for solving bi-objective cell formation problem with duplicate machines
Cell formation process is one of the first and the most important steps in designing cellular manufacturing systems. It consists of identifying part families according to the similarities in the design, shape, and presses of parts and dedicating machines to each part family based on the operations r...
Main Authors: | Mohammad Mohammadi, Kamran Forghani |
---|---|
Format: | Article |
Language: | English |
Published: |
Growing Science
2015-04-01
|
Series: | Decision Science Letters |
Subjects: | |
Online Access: | http://www.growingscience.com/dsl/Vol4/dsl_2014_39.pdf |
Similar Items
-
Duplicate Genetic Algorithm for Scheduling a Bi-Objective Flexible Job Shop Problem
by: H. Mohammadi-Andargoli, et al.
Published: (2012-10-01) -
PENJADWALAN JOB SHOP STATIK DENGAN METODE SIMULATED ANNEALING UNTUK MEMINIMASI WAKTU MAKESPAN
by: Moh.Husen, et al.
Published: (2015-10-01) -
A New Approach in Job Shop Scheduling: Overlapping Operation
by: parviz Fattahi, et al.
Published: (2010-02-01) -
A Simulated Annealing Algorithm for Multi Objective Flexible Job Shop Scheduling with Overlapping in Operations
by: Mehrzad Abdi Khalife, et al.
Published: (2010-01-01) -
PENJADWALAN FLOWSHOP DENGAN MENGGUNAKAN SIMULATED ANNEALING
by: Muhammad Firdaus, et al.
Published: (2015-04-01)