Optimasi Manajemen Rantai Pasokan (Supply Chain Management) dengan Metode Hybrid Algoritma Genetika dan Simulated Annealing
Abstract: The purpose
of this paper
is to solve
the problem of
optimization of supply
chain management (supply chain
management) using a
hybrid genetic algorithm
and simulated annealing. Supply
chain management is
defined a problem
to obtain the
optimal solutions that impact
on supply chain
costs in the
production process of
delivering goods and
services to customers. Genetic
algorithm is searching solution algorithm that copy the mechanics of selection and
natural evolution. Simulated Annealing is analogous method to the annealing
process. H ybrid of genetic algorithm
and simulated annealing
algorithm is a
combination of both
processes by insert a simulated
annealing algorithm to the process of genetic algorithms. The algorithm process
begins with entering
data distribution supply
chain, initialization parameters,
generating initial solutions,
evaluation and fitness of each solution, determine the prospective parent with
roulette wheel selection, crossover
convex crossover perform,
modify child with
simulated annealing, valuation, decrease
the temperature, modify
child simulated annealing,
combining the solution with an initial population, make a
selection in a combined solution, the process continues until the maximum iteration.
The data used is the 2 plants, 2 distribution centers, and 6 customers, a data
is 2 plants, 3 distribution centers, 8 customers, the data is 2 plants, 4
distribution, 8 customers, the data
is 4 plant,
3 distribution centers,
customer 5. By
using the Java
programming language Netbeans IDE
7.0.1 then obtained the minimum distribution cost for a data 2 plants , 3
distribution centers, 4 customers
is 27874 units
of currency, for
the data 2
plants, 2 distribution
centers, 6 customers is 156214
units of currency, for the data 2 plants, 4 distribution centers, 8 customers
is 86001 units of currency, and to the data 4 plant, 3 distribution centers, 5
customers is 116500 units of currency.
Penulis: Lovianti Rizki
Lakshitasari, Herry Suprajitno, Auli Damayanti
Kode Jurnal: jpmatematikadd140054
