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 12
Number of Articles 84
Number of Contributors 200
Article View 61,959
PDF Download 42,158
View Per Article 737.61
PDF Download Per Article 501.88
Accepted Submissions 84
Acceptance Rate (Percent) 15
Average Accept Date (Days) 160
Number of Indexing Databases 9
Number of Reviewers 206

 

 

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%
  • Impact Factor: 0.45
  • 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 1, 2020

The Next Issue:

  • Volume 7, Issue 2, 2020 

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, the year 2019.

1. Calculating benefits received from Business Process Outsourcing (BPO): An empirical study of a food industry company in Iran

Morteza Shafiee; Sara Emadi

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 1-18

http://dx.doi.org/10.22116/jiems.2020.110000

Abstract
  Today, outsourcing is recognized as one of the most effective strategies in the business world. In this regard, outsourcing of business processes is considered to be one of the most common forms of outsourcing. The purpose of this study is to provide In-depth and quantitative analysis of the benefits ...  Read More

2. Balancing public bicycle sharing system by defining response rates for destinations

Behzad Maleki Vishkaei; Iraj Mahdavi; Nezam Mahdavi Amiri; Esmaile Khorram

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 19-34

http://dx.doi.org/10.22116/jiems.2020.110002

Abstract
  Public Bicycle Sharing System (PBSS) is used as a way to reduce traffic and pollution in cities. Its performance is related to availability of bicycles for picking up and free docks to return them. Existence of different demand types leads to the emergence of imbalanced stations. Here, we try to balance ...  Read More

3. A green transportation location-inventory-routing problem by dynamic regional pricing

Masoud Rabbani; Fatemeh Navazi; Niloofar Eskandari; Hamed Farrokhi-Asl

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 35-58

http://dx.doi.org/10.22116/jiems.2020.110006

Abstract
  Non-uniform distribution of customers in a region and variation of their maximum willingness to pay at distinct areas make regional pricing a practical method to maximize the profit of the distribution system. By subtracting the classic objective function, which minimizes operational costs from revenue ...  Read More

4. Modified Pareto archived evolution strategy for the multi-skill project scheduling problem with generalized precedence relations

Amir Hossein Hosseinian; Vahid Bardaran

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 59-86

http://dx.doi.org/10.22116/jiems.2020.110007

Abstract
  In this research, we study the multi-skill resource-constrained project scheduling problem, where there are generalized precedence relations between project activities. Workforces are able to perform one or several skills, and their efficiency improves by repeating their skills. For this problem, a mathematical ...  Read More

5. Simulation based optimization of multi-product supply chain under a JIT system

Arman Sajedinejad; Erfan Hassannayebi; Mohammad Saviz Asadi Lari

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 87-106

http://dx.doi.org/10.22116/jiems.2020.110009

Abstract
   It is scientifically challenging to determine the inventory level all through the supply chain in such a way that the desired objectives such as effectiveness and responsiveness of the supply chain system can be obtained. Simulation is a means for solving various problems which cannot be solved ...  Read More

6. Three-stage mining metals supply chain coordination and air pollutant emission reduction with revenue sharing contract

Hamed Homaei; Iraj Mahdavi; Ali Tajdin

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 107-123

http://dx.doi.org/10.22116/jiems.2020.110003

Abstract
  One of the main concerns of all industries such as mine industries is to increase their profit and keep their customers through improving quality level of their products; but increasing the quality of products usually releases air pollutants. Nowadays the management of air pollutant emissions with harmful ...  Read More

7. Tactical and operational planning for socially responsible fresh agricultural supply chain

Ahmad Ali Abedinpour; Mohsen Yahyaei; Armin Jabbarzadeh

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 124-144

http://dx.doi.org/10.22116/jiems.2020.110248

Abstract
  Addressing an integrated decision-making structure for planting and harvesting scheduling may lead to more realistic, accurate, and efficient decision in fresh product supply chain. This study aims to develop an integrated bi-objective tactical and operational planning model for producing and distributing ...  Read More

8. Supply chain master planning considering material-financial flows

Faezeh Motevalli-Taher; Mohammad Mahdi Paydar

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 145-160

http://dx.doi.org/10.22116/jiems.2020.110012

Abstract
  In this study, tactical decisions considering the material and financial flows in a supply chain have been made. To achieve these aims and some effective solutions, a multi-objective mathematical model proposed for an integrated supply chain master planning problem. The multi-product, multi-period and ...  Read More

9. Simulation of fire stations resources considering the downtime of machines: A case study

Peiman Ghasemi; Abdollah babaeinesami

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 161-176

http://dx.doi.org/10.22116/jiems.2020.110013

Abstract
  Considering the increasing growth of cities, population and urban fabric density, it seems necessary that emergency facilities and services such as fire stations are positioned optimally so that they can fulfill the demands well. The aim of this study is the optimization of equipment use in the fire ...  Read More

10. Organization's performance measurement model based on the critical success factors of the reverse supply chain in airline industry with a quality gap approach

Nazila Adabavazeh; Mehrdad Nikbakht

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 177-190

http://dx.doi.org/10.22116/jiems.2020.110016

Abstract
  Airline industry is one of the main infrastructures for sustainable development of a country. The quality of the reverse support service will be effective in increasing the safety and health of the structures, reducing the impact of disasters and reducing costs. The aim of this study is to evaluate the ...  Read More

11. Simulated annealing and artificial immune system algorithms for cell formation with part family clustering

Iraj Mahdavi; Sara Firouzian; Mohammad Mahdi Paydar; Mahdi Saadat

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 191-219

http://dx.doi.org/10.22116/jiems.2020.110249

Abstract
  Cell formation problem (CFP) is one of the main problems in cellular manufacturing systems. Minimizing exceptional elements and voids is one of the common objectives in the CFP. The purpose of the present study is to propose a new model for cellular manufacturing systems to group parts and machines in ...  Read More

12. Multi-objective scheduling and assembly line balancing with resource constraint and cost uncertainty: A “box” set robust optimization

Javad Behnamian; Zeynab Rahami

Volume 7, Issue 1 , Summer and Autumn 2020, Pages 220-232

http://dx.doi.org/10.22116/jiems.2020.110250

Abstract
  Assembly lines are flow-oriented production systems that are of great importance in the industrial production of standard, high-volume products and even more recently, they have become commonplace in producing low-volume custom products. The main goal of designers of these lines is to increase the efficiency ...  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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