1. Robust Design of Maintenance Scheduling Considering Engineering Insurance Using Genetic Algorithm

S. Molaei; K.M. Cyrus

Volume 3, Issue 1 , May 2014, , Pages 39-48

Abstract
  Preventive maintenance is a broad term that encompasses a set of activities aimed at improving the overall reliability and availability of a system. Designers of the preventive maintenance schedules attempt to minimize the overall cost of system operation. There is no substitute for perfection in maintenance ...  Read More

2. A Novel Genetic Algorithm Based Method for Building Accurate and Comprehensible Churn Prediction Models

H. Abbasimehr; S. Alizadeh

Volume 2, Issue 4 , December 2013, , Pages 1-14

Abstract
  Customer churn has become a critical problem for all companies in particular for those that are operating in service-based industries such as telecommunication industry. Data mining techniques have been used for constructing churn prediction models. Past research in churn prediction context have mainly ...  Read More

3. A Hybrid Genetic Algorithm/Simulation Approach for Redundancy Optimization with Objective of Maximizing Mean Lifetime and Considering Component Selection

H. Karimi; A.A. Najafi

Volume 2, Issue 2 , June 2013, , Pages 35-46

Abstract
  In this paper, we consider a reliability redundancy optimization problem in a series-parallel type system employing the redundancy strategy of cold-standby. The problem consists of two parts component selection and determination of redundancy level of each component—which need to be solved so that ...  Read More

4. A Genetic Algorithm Coupled with Tabu Search for Bi-Objective Permutation Flow Shop

N. Shahsavari Pour; M.H. Abolhasani Ashkezari; H. Mohammadi Andargoli

Volume 2, Issue 1 , February 2013, , Pages 20-29

Abstract
  Considering flow shop scheduling problem with more objectives, will help to make it more practical. For this purpose, we have intended both the makespan and total due date cost simultaneously. Total due date cost is included the sum of earliness and tardiness cost. In order to solve this problem, a genetic ...  Read More

5. A Hybridized Lagrangian Genetic Algorithm for Designing an Integrated Supply Chain Network: A Case Study Approach

A. Jafari; P. Chiniforooshan; F. Zabihi

Volume 2, Issue 1 , February 2013, , Pages 45-62

Abstract
  This paper investigates the problem of designing an integrated production-distribution system which supports strategic and tactical decision levels in supply chain management. This overall optimization is achieved using mathematical programming for modeling the supply chain functions such as location, ...  Read More

6. Designing a Genetic Algorithm to Optimize Fulfilled Orders in Order Picking Planning Problem with Probabilistic Demand

M. Seyedrezaei; S.E. Najafi; A. Aghajani; H. Bagherzadeh Valami

Volume 1, Issue 2 , July 2012, , Pages 40-57

Abstract
  Distribution centers (DCs) play an important key role in supply chain. Delivering the right items to the right customers at the right time, at the right cost is a critical mission of the DCs. Today, customer satisfaction is an important factor for supplier companies in order to gain more profits. Optimizing ...  Read More