A revised model for solving the Cell formation problem and solving by gray wolf optimization algorithm

Neda Nikakhtar; Shahram Saeidi

Volume 9, Issue 1 , July 2022, , Pages 81-94

https://doi.org/10.22116/jiems.2022.274220.1432

Abstract
  The Cellular Manufacturing System (CMS) is one of the most efficient systems for production environments with high volume and product variety which takes advantage of group technology. In the cellular production system, similar parts called part families are assigned to a production cell having similar ...  Read More

Coordination of the decisions associated with maintenance, quality control and production in imperfect deteriorating production systems

Seyed Mohammad Hadian; Hiwa Farughi; Hasan Rasay

Volume 8, Issue 1 , July 2021, , Pages 89-113

https://doi.org/10.22116/jiems.2020.226584.1353

Abstract
  In this paper, a mathematical model is presented for the integrated planning of maintenance, quality control and production control in deteriorating production systems. The simultaneous consideration of these three factors improves the efficiency of the production process and leads to high-quality products. ...  Read More

Two-level warranty contract between service agent and consumer by considering Stackelberg equilibrium (Case study : A truck after-sales service agent in Iran)

Ommolbanin Yousefi; Nooshin Shirani

Volume 10, Issue 2 , December 2023, , Pages 90-105

https://doi.org/10.22116/jiems.2023.403997.1520

Abstract
  Warranty and maintenance contracts play an important role in product life cycle.  Different failures which occur during useful life cycle of products in additional reducing reliability, make expense for consumer and service agent. This study considers warranty periods and maintenance services costs ...  Read More

A routing- allocation model for relief logistics with demand uncertainty: A Genetic algorithm approach

Ali Bozorgi Amiri; Mostafa Akbari; Iman Dadashpour

Volume 8, Issue 2 , December 2021, , Pages 93-110

https://doi.org/10.22116/jiems.2022.138125

Abstract
  Quick response to the relief needs right after disasters through efficient emergency logistics distribution is vital to the alleviation of disaster impact in the affected areas. In this paper, by focusing on the distribution of relief commodities after disaster, the best possible allocation for the affected ...  Read More

Improved satisfaction of university faculty by utilizing the Bat metaheuristic algorithm (Case study of the faculty of humanities, Islamic Azad University, Parand Branch)

Alireza Ariyazand; Hamed Soleimani; Farhad Etebari; Esmaeil Mehdizadeh

Volume 9, Issue 1 , July 2022, , Pages 95-108

https://doi.org/10.22116/jiems.2022.316347.1468

Abstract
  Scheduling is a vital part of daily life that has been the focus of attention since the 1950s. Knowledge of scheduling is a very important and applicable category in industrial engineering and planning of human life. In the field of education, scheduling, and timetabling for best results in classroom ...  Read More

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 , August 2020, , Pages 98-118

https://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

Creating a comprehensive sustainable supply chain optimization model that aligns with stakeholder requirements and ecological factors

Alireza Abbaszadeh Molaei; Abdollah Arasteh; Mir Saman Pishvaee

Volume 10, Issue 1 , July 2023, , Pages 101-128

https://doi.org/10.22116/jiems.2023.379407.1508

Abstract
  In today’s growing world, the Green Supply Chain (GSC) is a new approach to include environmental impacts and economic goals in a supply chain network. This paper continues previous research studies by designing a new green supply chain network considering different social, economic, environmental, ...  Read More

Project portfolio optimization in upstream oil industry in knowledge based organization, “Case study: Tehran energy consultants company”

Seyyed Abdollah Razavi; Hossein Motavali

Volume 10, Issue 2 , December 2023, , Pages 106-115

https://doi.org/10.22116/jiems.2023.399150.1516

Abstract
  The oil and gas industry is probably the most important industry in the world. By growing demands of energy, the need for executing oil and gas projects becomes more than ever. Mega projects in this industry have certain characteristic such as being investment intensive, multi objective, owners, investors, ...  Read More

Designing a post-purchase regret model and determining online business strategies

Sara Salimi; Ali Hajiha; Hamidreza Saeednia; Kambiz Heidarzadeh

Volume 9, Issue 1 , July 2022, , Pages 109-119

https://doi.org/10.22116/jiems.2022.330486.1480

Abstract
  The purpose of this study is to design a post-purchase regret model and determine online business strategies. Regret is a state of mind in which the customer is hesitant to buy a product or service. This hesitation can be due to paying a high price for the quality received, comparing the quality of the ...  Read More

Presenting a bi-objective integrated production planning model considering constraints on order acceptance, production and customer delivery using meta-heuristic algorithms

Morteza Karimi; Tahmoores Sohrabi; Hasan Mehrmanesh

Volume 8, Issue 2 , December 2021, , Pages 111-137

https://doi.org/10.22116/jiems.2022.138126

Abstract
  In this study, the problem of simultaneous determination of order acceptance, scheduling and batch delivery considering sequence-dependent setup and capacity constraint has been presented. This problem is a combination of the three problems of order acceptance, scheduling and batch delivery. The most ...  Read More

Machine fault diagnosis through entropy weighting using evidential reasoning approach

Mehran Khalaj; Fereshteh Khalaj

Volume 8, Issue 1 , July 2021, , Pages 114-134

https://doi.org/10.22116/jiems.2020.233227.1364

Abstract
  This paper presents an approach for the fault diagnosis in the state of fault in a machine by using a combination of the Dempster–Shafer (D-S) theory. At the first, feature extractions in each state have been combined based on evidential reasoning (ER) using kind of sensor information such as ...  Read More

An intelligent hybrid model for forecasting the stock price index volatility: The case of Tehran stock exchange

Mojtaba Sedighi; Mahdi Madanchi Zaj

Volume 10, Issue 2 , December 2023, , Pages 116-130

https://doi.org/10.22116/jiems.2024.352402.1496

Abstract
  Forecasting the stock price index volatility is considered a strategic and challenging issue in the stock markets, and it is momentous for traders and investors in the decision-making process. Hence, the presentation of an efficient model for forecasting the stock price index volatility is a crucial ...  Read More

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 , August 2020, , Pages 119-138

https://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

Optimal design of a multi-period supply chain network with unreliable elements: A two-stage stochastic programming approach

Alireza Homayounmehr; Taha-Hossein Hejazi

Volume 9, Issue 1 , July 2022, , Pages 120-135

https://doi.org/10.22116/jiems.2022.333138.1478

Abstract
  The management and design of supply chain networks in various dimensions are so critical today that managers' decisions significantly impact the configuration and flow of material in the network. Above all, supply chain management intends to reduce costs. The inability to accurately predict certain features, ...  Read More

Designing the Structural Capital Model for Knowledge-Based Companies

Mohammad Reza Zahedi; Ehsan Vaziri Godarzi

Volume 10, Issue 1 , July 2023, , Pages 129-140

https://doi.org/10.22116/jiems.2023.353852.1498

Abstract
  The appropriate organizational structural capital is one of the most important issues to emerge innovation in knowledge-based companies. The purpose of this paper is to design and implement a structural capital model in knowledge-based companies. The research is developed based on qualitative and quantitative ...  Read More

Optimization of a multi-objective university course timetabling problem with a hybrid WOA&NSGA-II (Case study: IAU, Robat Karim branch)

Alireza Ariyazand; Hamed Soleimani; Farhad Etebari; Esmaeil Mehdizadeh

Volume 10, Issue 2 , December 2023, , Pages 131-148

https://doi.org/10.22116/jiems.2024.417008.1532

Abstract
  Scheduling and timetabling for university system have been a source of attention and an important challenge for the people in charge of administrations. The regulations and infrastructures are very diverse between universities, making it impossible to come up with a universal model for all. We, in this ...  Read More

Optimizing resiliency of train operations in an underground metro: A hybrid discrete-event simulation and response surface methodology

Ali Shahabi; Sadigh Raissi; Kaveh Khalili-Damghani; Meysam Rafei

Volume 8, Issue 1 , July 2021, , Pages 135-151

https://doi.org/10.22116/jiems.2020.218468.1368

Abstract
  Avoiding the passengers extra waiting time is a vital task for rail planners. The current research focused on minimizing the passenger waiting time on the presence of real frequently random occurred disturbances. Details of the proposed model are on the 1st line of Tehran underground rail rapid transit. ...  Read More

Application of soft operations research methods in healthcare: A systematic review

Omid Shafaghsorkh; Ashkan Ayough

Volume 9, Issue 1 , July 2022, , Pages 136-147

https://doi.org/10.22116/jiems.2022.335541.1483

Abstract
  The purpose of this systematic review is to identify and categorize the application of soft operations research methods in healthcare settings. A systematic review was conducted to identify published papers on the application of soft operations research methods in the healthcare setting, using Google ...  Read More

Success factors of innovation management in the banking industry using the grounded theory approach

S. Farid Mousavi; Adel Azar; S Hamid Khodadad

Volume 8, Issue 2 , December 2021, , Pages 138-159

https://doi.org/10.22116/jiems.2022.138127

Abstract
  Considering the role and importance of innovation in the performance of organizations in general and banking institutions in particular, the current work aims at identifying effective factors in the success of innovation management system in Iranian Banks, about which exists a scarcity of research in ...  Read More

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 , August 2020, , Pages 139-164

https://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

An interpretable machine learning Framework for customer churn Prediction: A case study in the telecommunications industry

Mohammad Javad Jafari; M. J. Tarokh; Paria Soleimani

Volume 10, Issue 1 , July 2023, , Pages 141-157

https://doi.org/10.22116/jiems.2023.365114.1504

Abstract
  Customer churn prediction has been gaining significant attention due to the increasing competition among mobile service providers. Machine learning algorithms are commonly used to predict churn; however, their performance can still be improved due to the complexity of customer data structure. Additionally, ...  Read More

Evaluation of a bi-objective vehicle routing problem considering time constraints

Ruhollah Ebrahimi Gorji; Hamed Soleimani; Behrouz Afshar-Nadjafi

Volume 9, Issue 1 , July 2022, , Pages 148-164

https://doi.org/10.22116/jiems.2022.313932.1466

Abstract
  In today's competitive market, reducing costs and time is one of the most important issues that has occupied the minds of managers and researchers. This issue is especially important in the field of supply chain management and transportation because by reducing time and cost, manufacturers and service ...  Read More

Design an agent-based model of the supply chain of perishable goods in the conditions of specific disruptions

Mozhde Nikounam Nezami; Abbas Toloie Eshlaghy; Seyed-Javad Iranban

Volume 10, Issue 2 , December 2023, , Pages 149-160

https://doi.org/10.22116/jiems.2024.424154.1537

Abstract
  The primary goal of this study is to design an agent-based model of the supply chain for perishable goods during the occurrence of specific disruptions. This study is practical in terms of aim and qualitative in terms of data collection method. To validate the model, the views of the statistical population ...  Read More

A new approach for KPI ranking and selection in ITIL processes: Using simultaneous evaluation of criteria and alternatives (SECA)

Iman Baradari; Maryam Shoar; Navid Nezafati; Mohammadreza Motadel

Volume 8, Issue 1 , July 2021, , Pages 152-179

https://doi.org/10.22116/jiems.2020.228519.1356

Abstract
  The importance of IT services in the life of businesses has led organizations to seek continuous evaluation of the quality of their IT services. In this regard, IT service management best practices such as Information Technology Infrastructure Library (ITIL), have introduced several processes for management ...  Read More

Prioritization of effective parameters related to Health, Safety& Environment (HSE) Promotion utilizing fuzzy logic approach and House of Quality (HOQ) method: case study Iran Barite Group

Sha-aban Ali Hoseinpour

Volume 10, Issue 1 , July 2023, , Pages 158-168

https://doi.org/10.22116/jiems.2023.397053.1515

Abstract
  In order to be competitive, it is an obligation for companies and service centers to identify, evaluate and control risk and environmental aspects of their activities. Due to technical and financial constraints, it is required to prioritize the risks and control measures with greater accuracy. In the ...  Read More