10 articles in this issue
S Sridevi,S Parthasarathy,S Rajaram
Demand for forecasting has increased significantly due to the rapid changes in technology, social changes, and globalization. The main objective of the paper is to apply clustering algorithms for forecasting the time series data. To perform the prediction... see more
Yung-Lung Cheng,Wan-Tsu Wang,Chun-Chin Wei,Kuo-Liang Lee
In this study, we investigate an inventory model where demand and backordering rates are respectively dependent on stock and backorder levels. We consider that there are highest and lowest demand rates during in-stock and stock-out periods. We derive clos... see more
Settar Mustu,Tamer Eren
Permutation flowshop scheduling problem under position based learning effect is addressed in this study. Minimization of the maximum completion time is considered for the identified problem. The mathematical programming model is established to find optima... see more
Kuo-Ching Ying,Cholada Kittipittayakorn
Modeling and simulation are widely used in many business domains, such as logistics, manufacturing, warehouses and hospitals. This research uses discrete event simulation (DES) combined with agent-based simulation (ABS) to improve draftees’ physical exami... see more
Pandian Pitchipoo,Ponnusamy Venkumar,Sivaprakasam Rajakarunakaran,R Ragavan
The supplier selection and purchasing decision in any supply chain have become key decisions because it provides opportunities to reduce costs and, consequently, increase profits. The cost of purchase represents the largest percentage of the total product... see more
Manuel Roman Piña-Monarrez
The purpose of this paper is to provide the multivariate statistical control process (MSPC) with an efficient method to decompose the out-of-control (signal) when the non-parametric R-chart signals. The method determines the contribution of each variable ... see more
Roberto Baeza Serrato,Rocío Alfonsina Lizárraga-Morales,Baeza-Díaz Roberto Alexander
The aim of this paper is to develop a novel multidimensional stochastic Fuzzy Logic System (msFLS) based on normal probability density function to generate multi training patterns of each quality characteristic and used by a neural network. The approach p... see more
Yung-Chia Chang,Kuei Hu Chang,Mei-Te Lu
Supply chain management courses require more content that focuses on real practice and applications to increase students' interest in learning. A simulation software is an effective method that simulates a virtual environment to allow students to apply an... see more
Li-Ting Huang,Shin-Wei Hung
Rolling forecast applied for dealing with customers’ requirement of squeezed delivery time is generally discussed in a two-echelon supply chain. Because of a more complicated supply chain in practical, we investigate whether advantages of rolling forecast... see more
Danijela Pjevcevic,Branka Dimitrijevic,Ivana Vukicevic Bisevac,Katarina Vukadinovic
This paper shows the process of decision making in order to choose the most efficient technology for dry bulk cargo handling at an inland port. The port operator's objective is to maximize the efficiency of cargo handling services, in order to primarily m... see more