1. 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

2. 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 , Winter and Spring 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

3. A multi-objective optimization model for locating the distribution warehouses in the logistic network supply chain: A case study of Bonny Chow Co.

Somaye Ramezani; Katayuon Naderi

Volume 5, Issue 1 , Winter and Spring 2018, , Pages 26-42

http://dx.doi.org/10.22116/jiems.2018.66502

Abstract
  Today, in the existing competitive market, proper management of the supply chain has attracted a lot of attention to increasing profitability and customer satisfaction. Managers and decision-makers may use policies to survive in this situation, but a desirable outcome will only come when a precise and ...  Read More

4. Designing the optimum plan for regenerating the pedestrian network of historic districts using bi-level programming (Case study: Historical-Cultural district of Tehran, Iran)

Sajed Rastbin; Farhang Mozaffar; Mostafa Behzadfar; Mehrdad Gholami Shahbandi

Volume 4, Issue 1 , Winter and Spring 2017, , Pages 34-54

http://dx.doi.org/10.22116/jiems.2017.51962

Abstract
  Motorized transportation systems in the urban areas witnessed huge developments in the infrastructures thanks to the advances in various aspects of technology. This urbanization revolution has its own pros and cons. The resulting dominance of vehicles has limited the presence of people in public places ...  Read More

5. 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