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)
Industrial management
Presenting an improved heuristic algorithm for the storage space allocation problem under a dedicated storage policy

Mohsen Kochaki; Behnam Vahdani

Volume 22, Issue 72 , May 2024, , Pages 176-229

https://doi.org/10.22054/jims.2024.75441.2876

Abstract
  The correct storage and arrangement of products in the warehouse increase efficiency in responding to requests, accelerate the identification of products, increase accessibility of items in the warehouse, make more use of available space in the warehouse, reduce the possibility of product damage, and ...  Read More

project management
Determining critical paths of projects by a new hybrid approach based on developed MULTIMOORA and SWARA methods under consideration of time, cost, quality, risk and safety criteria in an interval type-2 fuzzy environment

Yahya Dorfeshan; Seyed Meysam Mousavi; Behnam Vahdani

Volume 20, Issue 67 , February 2023, , Pages 85-119

https://doi.org/10.22054/jims.2022.25775.1887

Abstract
  Critical path method is one of the most widely used approaches in planning and project control. Time is considered a determinative criterion for the critical path. But it seems necessary to regard other criteria in addition to time. Besides time criterion, effective criteria such as quality, cost, risk ...  Read More

supply chain management
Developing refrigerated and general carriers’ collaboration model for perishable product

Shaghayegh Vaziri; Farhad Etebari; Behnam Vahdani

Volume 20, Issue 65 , June 2022, , Pages 143-183

https://doi.org/10.22054/jims.2022.36129.2168

Abstract
  In this paper, we study a novel pickup and delivery problem called carrier collaboration (CC). This problem includes a set of heterogenous (refrigerated and general type) vehicles with specific capacities for serving perishable products to several pickup and delivery nodes. Each carrier can have reserved ...  Read More

A Bi-Objective Robust Model for Location-Routing and Capacity Sharing in Districting Regions under Uncertainty

Ramin Saedinia; Behnam Vahdani; Farhad Etebari; Behroz Afshar Nadjafi

Volume 19, Issue 60 , April 2021, , Pages 145-192

https://doi.org/10.22054/jims.2019.41330.2303

Abstract
  One of the most important approaches that can lead to the creation of various advantagesfor enterprises is the districting regions into the service offering locations and the demandunits, which causes the increase in level of customers’ access to get the service. On theother hand, if vehicle routing ...  Read More

A Multi-Objective Optimization Model For Location-Inventory-Routing Problem in a Multi-Echelon Supply Chain Network Considering Maximum Demand Coverage

Behnam Vahdani

Volume 17, Issue 52 , April 2019, , Pages 239-286

https://doi.org/10.22054/jims.2017.19172.1680

Abstract
  Today, intense competition in global markets has forced companies to design and manage of supply chains in a better way. Since the role of three factors: location, routing and inventory is important to continue the life of a supply chain so, integration of these three elements will create an efficient ...  Read More

A new decision making method based on hesitant fuzzy preference selection index for contractor selection in construction industry

Hosein Gitinavard; Seyed Meisam Moosavi; Behnam Vahdani; Hamid Ghaderi

Volume 15, Issue 45 , July 2017, , Pages 121-144

https://doi.org/10.22054/jims.2017.7608

Abstract
  Increasing the complexity of decision-making problems leads to utilize a group of experts instead of one expert for evaluating the contractor selection problem. This paper proposes a hesitant fuzzy preference selection index method based on risk preferences of experts. The hesitant fuzzy set is used ...  Read More

Designing and Solving Multi-Objective Optimization Model for Healthcare Networks with Risk Pooling Effect Under Uncertainty: Robust Optimization Method

Behnam Vahdani

Volume 14, Issue 41 , July 2016, , Pages 65-108

https://doi.org/10.22054/jims.2016.4169

Abstract
  In this research, a multi-objective mixed integer programming model is presented to design a healthcare network with risk pooling effect. Since the model parameters have also uncertainty, for closing the model to reality, using robust optimization approach, the model is also extended in a state of uncertainty. ...  Read More