Volume 22 (2024)
Volume 21 (2023)
Volume 20 (2022)
Volume 19 (2021)
Volume 18 (2020)
Volume 17 (2019)
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)
Disassembly Line Balancing Based on the Kano Model and Fuzzy MCDM Methods, the Case: e-Waste Recycling Line

Mina Riahee; Mostafa Zandieh

Volume 16, Issue 49 , July 2018, Pages 1-36

https://doi.org/10.22054/jims.2018.8784

Abstract
  Recovering, recycling, and remanufacturing end-of-life products (disassembly line) are appropriate methods of reducing the environmental impact associated with wastes. A disassembly line is a viable option for doing so. The objective of the disassembly line balancing problem (DLBP) is to coordinate disassembly ...  Read More

The Impact of Environmental Uncertainty, Manufacturing Flexibility and Operational Efficiency on Firm Performance: The Moderating role of the Operational Absorptive Capacity

Mostafa Ebrahimpour Azbari; Mohsen Akbari; Fatemeh Rafiei Rashtababdi

Volume 16, Issue 49 , July 2018, Pages 37-66

https://doi.org/10.22054/jims.2018.8785

Abstract
  Today, organizations in an environment with growing changes, should be flexible enough to manage unpredictable threats and opportunities in an uncertain future and lead to better performance. Also, they should optimize their business processes to achieve operational efficiency. Besides, Operational absorptive ...  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

Particle Swarm Optimization to Solve Competitive Production Routing Problem

Farzaneh Adabi; Javad Behnamian

Volume 16, Issue 49 , July 2018, Pages 105-138

https://doi.org/10.22054/jims.2018.8787

Abstract
  The production routing problem (PRP) integrates vehicle routing and production planning problems. Generally, in PRPs, the impact of competitors has not been considered. Clearly, in the real world, it is no longer possible to have a monopoly market. In competitive environment, customers choose a supplier ...  Read More

Performance Assessment of Iranian Gas Transmission Company’s Operational Zones through a Hybrid Method of DEA – WASPAS – SWARA

Hossein Safari; Aliyeh Kazemi; Ahmad Mehrpoor Layeghi

Volume 16, Issue 49 , July 2018, Pages 139-171

https://doi.org/10.22054/jims.2018.8788

Abstract
  One of the most known subjects in management literature is performance assessment. In this paper, we have tried to provide a hybrid model in order to evaluate the performance of Iranian gas Transmission Company's operational zones. After an initial screening, due to the low number of Decision making ...  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

Extension of the TOPSIS Considering the Dispersion among the Criteria of Each Alternative

Siamak Kheybari; Mostafa Kazemi

Volume 16, Issue 49 , July 2018, Pages 199-219

https://doi.org/10.22054/jims.2018.8790

Abstract
  TOPSIS is located in compensatory decision-making methods. The basic principle is that the chosen alternative should have the shortest distance from the positive ideal solution and the longest distance from the negative ideal solution. The existence of incremental and decreasing uniform trend in positive ...  Read More