Volume 22 (2024)
Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
Volume 17 (2019)
Volume 16 (2018)
Volume 15 (2017)
Volume 14 (2016)
Volume 13 (2015)
Volume 12 (2015)
Volume 11 (2014)
Volume 9 (2012)
Volume 10 (2012)
Volume 8 (2010)
Volume 6 (2007)
Volume 5 (2006)
Volume 4 (2006)
Volume 3 (2005)
Volume 2 (2004)
Volume 1 (2003)
Pricing process in industrial clusters using genetic algorithm

Fatemeh Mojibian

Volume 19, Issue 62 , September 2021, , Pages 1-22

https://doi.org/10.22054/jims.2017.10509.1386

Abstract
  It’s more than one decade that industrial development based on the structure of industrial clusters as a new strategy has been planned and administrated by developed industrialized countries. Considering the importance of the role of industrial clusters in economic development programs, providing ...  Read More

A Supply Chain Network Design for Managing Hospital Solid Waste

Mohammad Nikzamir; vahid baradaran; Yunes Panahi

Volume 19, Issue 60 , April 2021, , Pages 85-120

https://doi.org/10.22054/jims.2021.40574.2283

Abstract
  Health care solid wastes include all types of waste that are produced as a result ofmedical and therapeutic activities in hospitals and health centers. About 15% to20% of these waste materials are infectious waste, which falls within the categoryof hazardous materials. Infectious waste is the one that ...  Read More

An integrated mathematical model for aircraft routing and crew scheduling for airlines with multi fleet and multi maintenance hub

Alireza Rashidi Komijan; Amin Gordani

Volume 17, Issue 55 , January 2020, , Pages 101-135

https://doi.org/10.22054/jims.2019.27175.1925

Abstract
  The problem of Airline planning has totally been divided into four sub-problems.These problems include Flight Scheduling, Fleet Assignment, Aircraft Routing, Maintenance, and Crew Scheduling. In this research, firstly, we defined basic concepts and common terminology about Airline Planning then early ...  Read More

Providing a model to optimize preventive maintenance schedules for multi-component systems using GA

Arman Sajedinejad; Meysam Lotfi

Volume 17, Issue 55 , January 2020, , Pages 137-160

https://doi.org/10.22054/jims.2019.15312.1543

Abstract
  In this paper, a non-periodic preventive maintenance scheduling optimization model for multi-component systems is provided based on the maximum availability of system components. In addition to providing the required level of system reliability and satisfy other system constraints (maintenance activities ...  Read More

Solving an Integrated Cell Formation, Group Layout and Routing Problem Using Dynamic Programming Based Metaheuristic Algorithms

Mohammad Mohammadi; Kamran Forghani

Volume 16, Issue 49 , July 2018, , Pages 67-104

https://doi.org/10.22054/jims.2018.8786

Abstract
  The cell formation problem and the group layout problem, both are two important problems in designing a cellular manufacturing system. The cell formation problem is consist of grouping parts into part families and machines into production cells. In addition, the group layout problem is to find the arrangement ...  Read More

Reliable Facility Location-Allocation Optimization Model under the Risk of Disruptions Mehdi Seifbarghy,* Shima Zangeneh**

Mehdi Seifbarghy; Shima Zangeneh

Volume 16, Issue 49 , July 2018, , Pages 137-198

https://doi.org/10.22054/jims.2018.8789

Abstract
  In the classic models of facility location, it is assumed that the selected facilities always work based on the schedule while, in the real world, facilities are always exposed to disruption risk and sometimes these disruptions have long-term effects on the supply chain network and cause a lot of problems. ...  Read More

Developing and Solving a New Bi-Objective Model to Assign Human Resource And Equipment to Parallel Workstations in a Product ion Line Using Optimization Via Simulation Technique

Mohammad saeed Company; Parham Azimi

Volume 15, Issue 46 , October 2017, , Pages 57-71

https://doi.org/10.22054/jims.2017.7988

Abstract
  In this study, the use of simulation technique in bi-objective optimization of assembly line balancing problem has been studied. The aim of this paper is to determine optimal allocation of human resource and equipment to parallel workstations in order to minimize the cost of adding equipment and manpower ...  Read More

Vehicle routing problem in cross-dock using genetic algorithm, Case: Iran Khodro company.

Laya Olfat; Maghsod Amiri; Ahmad Jafarian

Volume 15, Issue 45 , July 2017, , Pages 97-120

https://doi.org/10.22054/jims.2017.7607

Abstract
  Cross-docking is one of the lean logistics tools that is used for uniting the shipments during the loops replacement. Cross-docking is the process of product movement form distribution centers without storage function. Vehicle routing problem in Cross-Dock external environment has much influence on cross-dock ...  Read More

Presentation and Solution of Critical Chain Project Scheduling Problem (CCPSP) model with consideration of feeding buffer

Akdar Alemtabriz; Ashkan Ayough; Mahdie Baniasadi

Volume 14, Issue 42 , October 2016, , Pages 31-59

https://doi.org/10.22054/jims.2016.5707

Abstract
  During the recent years, extensive research has been done on the field ofproject scheduling. There is always uncertainty in the area of projectscheduling that causes a deviation in the real plan from the scheduled plan.One of the solutions to deal with this uncertainty is using the critical chainmethod ...  Read More

An integrated project portfolio selection and resource investment problem to maximize net present value using genetic algorithm

Hamidreza Shahabifard; Behrouz Afshar-nadjafi

Volume 14, Issue 42 , October 2016, , Pages 61-121

https://doi.org/10.22054/jims.2016.5708

Abstract
  In this paper, a mathematical model is proposed for project portfolioselection and resource availability cost problem to scheduling activities inorder to maximize net present value of the selected projects preservingprecedence and resource constraints. Since the developed model belongs toNP-hard problems ...  Read More

Proposed a Hybrid Multi-Objective competitive Algorithm for solving the redundancy allocation reliability problem

Roozbeh . Azizmohammadi; Maghsoud .Amiri; Reza Tavakkoli- Moghadam; Hamid Reza. Mashatzadegan

Volume 14, Issue 42 , October 2016, , Pages 103-121

Abstract
  A redundancy allocation problem is a well-known NP-hard problem thatinvolves the selection of elements and redundancy levels to maximize thesystem reliability under various system-level constraints. In many practicaldesign situations, reliability apportionment is complicated because of thepresence of ...  Read More

Presenting a fuzzy multi objective model to supplier evaluation and selection in leagile supply chain

Mojgan Khorasani; Abolfazl Kazemi

Volume 14, Issue 40 , April 2016, , Pages 111-136

https://doi.org/10.22054/jims.2016.3912

Abstract
  This paper investigates a supplier evaluation and selection model which considers features of leagile supply chain and allocates orders to the selected suppliers. In the proposed model, potential suppliers are evaluated by applying a multi-objective model with respect to the key features of leagile supply ...  Read More

Fuzzy multi objective supply chain design considering facility disruptions, supply and demand risks by uncertainty in economic parameters

Masoud Rabbani,; Neda Manavizadeh; Amir Farshbaf-Geranmayeh

Volume 13, Issue 37 , July 2015, , Pages 5-35

Abstract
  In this paper, supply chain network design problem is modeled as a fuzzy multi objective mixed integer programming which seeks to locate the plants, DCs, and warehouses by considering disruption, supply and demand risk. Maximizing net present value of supply chain cash flow, minimizing delivery tardiness ...  Read More

Scheduling trucks transportation in supply chain regarding cross docking using meta-heuristic algorithms

Ali Mohtashami; Ali Fallahian-Najafabadi

Volume 11, Issue 31 , January 2014, , Pages 55-84

Abstract
  In today’s competitive world, the organizations decide to establish competitive benefits by making benefit from management sciences. One of the most important management sciences arisen lots of so useful matters is the supply chain. The supply chain management is the evolved result of warehousing ...  Read More

Application of RSM, F-Regression and GA for evaluating of effective factors in vehicle brake drum assembling process

Hadi Hematiyan; Meysam Sarreshtehdar; Hassan Hadipour

Volume 9, Issue 23 , December 2011, , Pages 163-186

Abstract
  The present study aims at optimizing the vehicle brake drum assembling process. Considering the crucial role of the Axle unit, especially its vehicle brake drum which is related to the safety of the passengers, the study of the producing and assembling processes and conducting the quality control experiments ...  Read More

A New Approach for Solving Cell Formation Problem Considering Alternative Process Routings

Payam Chiniforooshan; Behrooz Pourghannad; Narges Shahraki

Volume 9, Issue 23 , December 2011, , Pages 209-231

Abstract
  In this paper, a mathematical model is proposed to solve cell formation problem considering alternative process routings in which more than one process route for each part can be selected. The model attempts to minimize intercellular movements and incorporates several real-life production factors and ...  Read More

The Covering location Problem Considering lost Demand with Genetic Algorithm in Congested Systems

Hasan Shavandi; Mehdi Mardane Khameneh

Volume 8, Issue 20 , March 2011, , Pages 27-48

Abstract
  On the networks existing servers and customers, each node indicates a customer demand and demand rate is estimated for them. The edges of the network indicate connective ways among the nods which is usually shown with the distance of two nods or the time of travelling. In the covering location problems, ...  Read More

Developing a Two Objectives Model for Maximal Covering Problem Considering Queuing Parameters

Mehdi Seifbarghy; Razieh Forghani; Zarifeh Rathi

Volume 8, Issue 18 , September 2010, , Pages 1-13

Abstract
  Maximal Covering Location Problem (MCLP) aims at maximizing a population of customers which are located within a specified range of time or distance from some new servers which should be located. A number of extensions have been proposed for this problem, one of which is considering queuing constraints ...  Read More

Usage of data mining in improvement CRM

M.J. Tarokh; K. Sharifiyan

Volume 6, Issue 17 , September 2007, , Pages 153-181

Abstract
  Financial corporation and banks are sort of organization that due to specialty of their work, are very needy to customer management process ; and data mining is one of the best available tools for them to asses definition and behavior forecast of their customers. Data mining is improving very fast and ...  Read More

Soft Computing methods for modeling phenomena

Jamshid Salehi Sadaghiani; Seyed Amir Reza Abtahi

Volume 4, Issue 13 , June 2006, , Pages 89-122

Abstract
  The purpose of this article is about soft computing and its different methods for modeling phenomena. Soft Computing refers to the evolving collection of methodologies used to build intelligent systems exhibiting human-like reasoning and capable of tackling uncertainty. In this paper, we describe the ...  Read More