PERANCANGAN PEMENUHAN PERMINTAAN PASOKAN GULA RAFINASI DENGAN METODE WAGNER WHITIN
نویسندگان
چکیده
منابع مشابه
An Improved WAGNER-WHITIN Algorithm
We present an improved implementation of the Wagner-Whitin algorithm for economic lot-sizing problems based on the planning-horizon theorem and the Economic- Part-Period concept. The proposed method of this paper reduces the burden of the computations significantly in two different cases. We first assume there is no backlogging and inventory holding and set-up costs are fixed. The second model ...
متن کاملOn the Wagner-Whitin Lot-Sizing Polyhedron
We study a family of unbounded polyhedra arising in the study of uncapacitated lot-sizing problems with Wagner-Whitin costs. With n the number of periods, we completely characterize the bounded faces of maximal dimension, and derive an O(n) algorithm to express any point within the polyhedron as a convex combination of extreme points and extreme rays. We also study adjacency on the polyhedra, a...
متن کاملRobust Wagner–Whitin algorithm with uncertain costs
In real-world applications, costs for products are not deterministic: neither static nor dynamic. They actually tend to be non-stationary and cross-correlated. To overcome this drawback, there have been some efforts by researchers to extend the Wagner–Whitin algorithm to consider stochastic costs. However, they assume that the information of probability density function of random costs exists. ...
متن کاملan improved wagner-whitin algorithm
we present an improved implementation of the wagner-whitin algorithm for economic lot-sizing problems based on the planning-horizon theorem and the economic- part-period concept. the proposed method of this paper reduces the burden of the computations significantly in two different cases. we first assume there is no backlogging and inventory holding and set-up costs are fixed. the second model ...
متن کاملKlasifikasi Data Cardiotocography Dengan Integrasi Metode Neural Network Dan Particle Swarm Optimization
Backpropagation (BP) adalah sebuah metode yang digunakan dalam training Neural Network (NN) untuk menentukan parameter bobot yang sesuai. Proses penentuan parameter bobot dengan menggunakan metode backpropagation sangat dipengaruhi oleh pemilihan nilai learning rate (LR)-nya. Penggunaan nilai learning rate yang kurang optimal berdampak pada waktu komputasi yang lama atau akurasi klasifikasi yan...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: J@TI UNDIP : JURNAL TEKNIK INDUSTRI
سال: 2013
ISSN: 2502-1516,1907-1434
DOI: 10.12777/jati.8.3.187-192