Volume 6 (2019)
Volume 5 (2018)
Volume 4 (2017)
Volume 3 (2016)
Volume 2 (2015)
Volume 1 (2014)

Online statistics:

Number of Volumes 7
Number of Issues 13
Number of Articles 96
Number of Contributors 225
Article View 70,338
PDF Download 50,728
View Per Article 732.69
PDF Download Per Article 528.42
Accepted Submissions 96
Acceptance Rate (Percent) 15
Average Accept Date (Days) 180
Number of Indexing Databases 9
Number of Reviewers 214

 

 

Journal of Industrial Engineering and Management Studies (JIEMS) is an open-access and double-blind peer-review journal devoted to publishing original research papers in the field of industrial engineering and management.

Subject areas include, but are not limited to:

  • Supply Chain Management
  • Production Management
  • Quality and Reliability Management
  • Project Scheduling and Management 

For a full list of topics, please click here.


About JIEMS:

  • Scope: Industrial Engineering and Management
  • Frequently: Semi-annual 
  • Open Access: Yes
  • Indexed and Abstracted: Yes
  • Acceptance Rate: 15%
  • Ministry of Science, Research, and Technology (MSRT): Grade A
  • DOI Prefix: 10.22116/JIEMS
  • Reviewing Process Fee: No 
  • Publication Fee: Yes
  • Publication Dates: January and July
  • Language: English
  • Review Policy: Double-Blind Peer Review
  • Contact Emails: jiems@icms.ac.ir & info@icms.ac.ir  

The Current Issue:

  • Volume 7, Issue 2, 2020

The Next Issue:

  • Volume 8, Issue 1, 2021 

Note:

The papers with a similarity index of over 10% will be rejected. The author should use plagiarism checkers to make sure the submitted manuscript is original and satisfies the defined limit. 


CALL FOR PAPER

CONFLICT OF INTEREST AND COPYRIGHT FORM 

PUBLICATION ETHICS AND PUBLICATION MALPRACTICE STATEMENT


JIEMS has published 12 articles per issue since volume 6, issue 2, 2019.

1. Envelopment analysis for global response to novel 2019 Coronavirus-SARS-COV-2 (COVID-19)

Nazila Adabavazeh; Mehrdad Nikbakht; Alireza Amirteimoori

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 1-35

http://dx.doi.org/10.22116/jiems.2020.226564.1354

Abstract
  Communities are constantly seeking to manage the damages which are caused by crises. In this regard, health centers have become the most expensive unit of the health system as they provide quick and timely health care services to reduce the effects of unexpected accidents. So, their planning and preparation ...  Read More

2. Project scheduling optimization for contractor’s Net present value maximization using meta-heuristic algorithms: A case study

Mostafa Zaree; Reza Kamranrad; Mojtaba Zaree; Iman Emami

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 36-55

http://dx.doi.org/10.22116/jiems.2020.221672.1342

Abstract
  Today's competitive conditions have caused the projects to be carried out in the least possible time with limited resources. Therefore, managing and scheduling a project is a necessity for the project. The timing of a project is to specify a sequence of times for a series of related activities. According ...  Read More

3. Developing an urban congestion pricing model by considering sustainability improvement and using a multi-objective optimization approach

Mansooreh Iravani; Reza Bashirzadeh; M. J. Tarokh

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 56-76

http://dx.doi.org/10.22116/jiems.2019.178753.1262

Abstract
  This paper introduces a Travel Demand Management (TDM) model in order to decrease the transportation externalities by affecting on passengers’travel choices. Thus, a bi-objective bi-modal optimization model for road pricing is developed aiming to enhance environmental and social sustainability ...  Read More

4. An economic analysis for integrated bi-objective biofuel supply chain design using support vector machine

Masoud Rabbani; Amin Abazari; Hamed Farrokhi-Asl

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 77-97

http://dx.doi.org/10.22116/jiems.2020.200780.1300

Abstract
  Using second-generation biomass and biofuel deal with environmental pollution and CO2 emissions. Therefore, this paper design an integrated multi-period bi-objective biofuel supply chain network using support vector machine (SVM) and economic analysis to reduce the cost of generating biofuels and CO2 ...  Read More

5. A multi-objective optimization model for multiple project scheduling and multi-skill human resource assignment problem based on learning and forgetting effect and activities' quality level

Milad Hematian; Mirmehdi Seyyedesfahani; Iraj Mahdavi; Nezam Mahdavi Amiri; Javad Rezaeian

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 98-118

http://dx.doi.org/10.22116/jiems.2020.210566.1319

Abstract
  One of the most important aspects of human resource management is the allocation of the workforce to activities. Human resource assignment to project activities for its scheduling is one of the most real and common issues in project management and scheduling. This becomes even more significant when human ...  Read More

6. A fuzzy based genetic algorithm for optimizing the pedestrian walking network; case study historic district of Tehran

Sajed Rastbin; Mehrdad Gholami Shahbandi; Pouya Soudmand

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 119-138

http://dx.doi.org/10.22116/jiems.2020.176389.1256

Abstract
  Fast growth of motorized transportation infrastructures in the cities is a consequence of the urbanization process. Despite the undeniable benefits of the developments, some unwelcome social-environmental damages have been occurred. On top of the list, the movements of the pedestrians and their participation ...  Read More

7. Using revenue management technique to allocate the capacity in reliable hub network design under uncertain air passenger traffic

Mojtaba Salehi; Hamid Tikani

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 139-164

http://dx.doi.org/10.22116/jiems.2020.195853.1293

Abstract
  This paper introduces a two stage stochastic programming to address strategic hub location decisions and tactical flight routes decisions for various customer classes considering uncertainty in demands. We considered the airline network with the arc capacitated single hub location problem based on complete–star ...  Read More

8. Supply chain management in hospitality and its impact on competitive advantage, hotel, and supply chain performance

Nasser Safaie; Ali Nazeri; Anita Mottakiani

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 166-185

http://dx.doi.org/10.22116/jiems.2020.199227.1299

Abstract
  In this study, the relationship between supply chain management functions, supply chain performance, competitive advantage, and organizational performance in the hospitality were investigated. The objective of this study was to assess the performance of supply chains and management in the hospitality. ...  Read More

9. Weighted MLP-ARIMA series hybrid model for time series forecasting

Zahra Hajirahimi; Mehdi Khashei

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 187-201

http://dx.doi.org/10.22116/jiems.2020.205148.1307

Abstract
  With the increasing importance of forecasting with the utmost degree of accuracy, utilizing hybrid frameworks become a must for obtaining more accurate and more reliable forecasting results. Series hybrid methodology is one of the most widely-used hybrid approaches that has encountered a great amount ...  Read More

10. Comparing supply chain risk ranking methods based on fuzzy three-dimensional integration approach

Mohammad Bagher Fakhrzad; Mohammad Reza Firozpour; Hasan Hosseini Nasab; Ahmad Sadegheih

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 202-222

http://dx.doi.org/10.22116/jiems.2020.213687.1326

Abstract
  For reducing risk effects in a supply chain, the appropriate risk assessment and ranking by the use of multi-criteria decision-making methods (MCDM) is important. Failure to properly assess and rank the risks makes the supply chain less efficient and competitive. Given the existence of both qualitative ...  Read More

11. Ant colony optimization, genetic algorithm and hybrid metaheuristics: A new solution for parallel machines scheduling with sequence-dependent set-up times

Mahdi Nakhaeinejad

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 223-239

http://dx.doi.org/10.22116/jiems.2020.206474.1310

Abstract
  The parallel machine scheduling problem (PMSP) is one of the most difficult classes of problem. Due to the complexity of the problem, obtaining optimal solution for the problems with large size is very time consuming and sometimes, computationally infeasible. So, heuristic algorithms that provide near-optimal ...  Read More

12. Operations research and health systems: A literature review

Samar Shetaban; Mir Mehdi Seyyed Esfahani; Abbas Saghaei; Abbas Ahmadi

Volume 7, Issue 2 , Summer and Autumn 2020, Pages 240-260

http://dx.doi.org/10.22116/jiems.2020.231406.1360

Abstract
  Todays, human health is in the best situation ever. The progress of vaccines, development of hospitals, new medicines, advanced medical equipment, and new treatments preventing death will place the health system indicators at its best state in all ages and centuries. In addition, healthcare is one of ...  Read More

1. The optimal age-based replacement policy for systems subject to shocks

Behrouz Khorshidvand; Ashkan Ayough; Akbar Alem Tabriz

Volume 1, Issue 1 , Summer and Autumn 2014, , Pages 72-82

Abstract
  In this article, two different systems subject to shocks occurring based on a non-homogeneous Poisson process (NHPP) are analyzed. Type –I system is consisted of a single unit and type –II system is consisted of two parallel units in which both units operate identically and simultaneously. ...  Read More

2. Cycle time reduction for productivity improvement in the manufacturing industry

Ismail Taifa; Tosifbhai Vhora

Volume 6, Issue 2 , Summer and Autumn 2019, , Pages 147-164

http://dx.doi.org/10.22116/jiems.2019.93495

Abstract
  Cycle time is one of the viable parameters which needs to be optimised as much as possible whenever the manufacturing industry is trying to improve efficiency, cost base and customer responsiveness. This systematic study presents on the reduction of cycle time for productivity improvement in the manufacturing ...  Read More

3. A knowledge-based NSGA-II approach for scheduling in virtual manufacturing cells

M. Zandieh

Volume 3, Issue 1 , Winter and Spring 2016, , Pages 89-107

Abstract
  This paper considers the job scheduling problem in virtual manufacturing cells (VMCs) with the goal of minimizing two objectives namely, makespan and total travelling distance. To solve this problem two algorithms are proposed: traditional non-dominated sorting genetic algorithm (NSGA-II) and knowledge-based ...  Read More

4. A cloud-based simulated annealing algorithm for order acceptance problem with weighted tardiness penalties in permutation flow shop scheduling

M. Zandieh; M.M. Asgari Tehrani

Volume 1, Issue 1 , Summer and Autumn 2014, , Pages 1-19

Abstract
  Make-to-order is a production strategy in which manufacturing starts only after a customer's order is received; in other words, it is a pull-type supply chain operation since manufacturing is carried out as soon as the demand is confirmed. This paper studies the order acceptance problem with weighted ...  Read More

5. Modeling and solving a three-stage fixed charge transportation problem considering stochastic demand and price

N. Shirazi; M. Seyyed Esfahani; H. Soleimani

Volume 2, Issue 1 , Winter and Spring 2015, , Pages 27-40

Abstract
  This paper considers a three-stage fixed charge transportation problem regarding stochastic demand and price. The objective of the problem is to maximize the profit for supplying demands. Three kinds of costs are presented here: variable costs that are related to amount of transportation cost ...  Read More

Publisher:
Iran Center for Management Studies

Editor-in-Chief:
  Professor M.Mehdi Seyyed Esfahani


Print ISSN: 2476-308X

Online ISSN: 2476-3098

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