Data Envelopment Analysis, DEA
Profitability assessment of two-stage feedback processes with undesirable factors

Maryam Nematizadeh; Maryeh Nematizadeh

Volume 8, Special Issue , November 2021, , Pages 1-16

  Naturally, managers are interested in analyzing the relative efficiency of the production systems with parametric or non-parametric methods. One of the non-parametric methods utilized in recent three decades is a Data Envelopment Analysis (DEA) that can evaluate the relative efficiency of these structures ...  Read More

Adaptive DEA for clustering of credit clients

T. Aliheidari bioki; H. Khademi Zare

Volume 1, Issue 1 , March 2014, , Pages 35-49

  Competition among the industrial and service organizations to provide their clients with financial and credit requirements through the banking facilities has considerably increased. On the other hand, the challenge facing these financial and credit resources is that they are limited. Therefore, the optimal ...  Read More

Prioritizing critical success factors of reverse logistics in Hamgam Khodro Asia

Mona Ganjali; Hadi Shirouyehzad; Arash Shahin

Volume 3, 1(4) , December 2016, , Pages 39-48

  Today, the rapid increase of the industrial activities and uncontrolled consumption of natural resources cause environmental problems and interested companies in the activities that support sustainable environment. The primary concerns of reverse logistics are waste management, material recovery, part ...  Read More

Case studies in industry and services
Determine the Priority of Industrial Investment in Conditions of Risk and Uncertainty: The Case Study Mazandaran Province

Seyed Fakhreddin Fakhrehosseini; Meysam Kaviani

Volume 4, Issue 1 , September 2017, , Pages 49-58

  The expansion of production and development in the industrial sector is due to increase the investment on the activity of this sector. On one hand limits of the financial resources to the investment and high risk of investments in industrial and production activities, and by the other hand, the frequency ...  Read More

Fuzzy optimization
A Solution Approach for Solving Fully Fuzzy Quadratic Programming Problems

Nemat Allah Taghi-Nezhad; Fatemeh Taleshian

Volume 5, Issue 1 , June 2018, , Pages 50-61

  Quadratic Programming has been widely applied to solve real-world problems. This paper describes a solution method for solving a special class of fuzzy quadratic programming problems with fuzziness in relations. Then the method is generalized to a more general fuzzy quadratic programming problem, where ...  Read More

Decision analysis and methods
A model for organization performance management applying MCDM and BSC: a case study

Iman Ajripour; Milad Asadpour; Leila Tabatabaie

Volume 6, Issue 1 , April 2019, , Pages 52-70

  The organization Performance management is an important component that directly affects the total performance of the organization and the competitive environment. Hence, manager(s) performance is one of the most important functional parts of an organization. Senior manager(s) decisions are one of the ...  Read More

Decision analysis and methods
Identification and ranking of affecting factors on sales and operations planning (S&OP) process implementation by using fuzzy AHP and fuzzy TOPSIS approach (case study: dairy industry)

Reza Hassanzadeh; Hossein Asghari

Volume 7, Issue 1 , March 2020, , Pages 57-78

  Sales and Operations Planning (S&OP) includes up-to-date forecasts that lead to sales schedules, production schedules, inventory schedules, customer delivery plans, new product development plans, and financial plans. The purpose of this study is to identify the affecting factors of the implementation ...  Read More

The Periodic Capacitated Arc Routing Problem with Mobile Disposal Sites Specified for Waste Collection

Payam Khosravi; Mehdi Alinaghian; Seyed Mojtaba Sajadi; Erfan Babaee Tirkolaee

Volume 2, Issue 1 , March 2015, , Pages 64-76

  Waste collection is a highly visible municipal service that involves large expenditures and difficult operational problems. In addition, it is expensive to operate in terms of investment costs (i.e. vehicles fleet), operational costs (i.e. fuel and maintenances) so that generating small improvements ...  Read More

QFD Application Using Combined ANP-DEMATEL Approach for Improving Service Quality: A Case Study of Dental Clinic

Mohammad Hassan Pourkhandani; Seyed Javad Iranban; Seyed Masoud Seyedi

Volume 1, Issue 2 , June 2014, , Pages 112-129

  The Quality Function Deployment method (QFD) is one of the most effective tools of designing and improving quality being used in order to supply customer’s requirements and enhancing his/her satisfaction. The main purpose of this research is to prioritize the identifiers of improving servicequality ...  Read More

Decision analysis and methods
A hybrid method of Fuzzy DEMATEL/AHP/VIKOR approach to rank and select the best hospital nurses of a Years: A case study

Seyede Narges Taati; Ayda Esmaili Dooki

Volume 4, Issue 2 , October 2017, , Pages 116-132

  Nowadays, hospitals are considered as one of the most important service industries in which nurses play a vital role. Indeed, the patient's safety will be treated and the hospital credibility will be lost, if the hospital nurses do not carry out their tasks properly. In this paper, an integration of ...  Read More

Using DEMATEL – ANP hybrid algorithm approach to select the most effective dimensions of CRM on innovation capabilities

Elahe Shariatmadari Serkani

Volume 2, Issue 2 , June 2015, , Pages 120-138

  Customer relationship management (CRM) and innovation are widely considered to be valuable capabilities associated with competitive advantage. CRM is a comprehensive guideline and process of management and data sharing with key customers to prompt supreme values of partnership and customers. Innovation ...  Read More

Industrial Mathematics
An efficient nonlinear programming method for eliciting preference weights of incomplete comparisons

Mohamad Ali Movafaghpour

Volume 6, Issue 2 , June 2019, , Pages 131-138

  The Analytic Hierarchy Process (AHP) which was developed by Saaty is a decision analysis tool. It has been applied to many different decision fields. Acquiring Pairwise Comparison Matrices (PCM) is the main step in AHP and also is frequently used in other multi-criteria decision-making methods. In a ...  Read More

Forecasting, production planning, and control
Forecasting methods for domestic air passenger demand in Nigeria

Adeniran Adetayo Olaniyi; Kanyio Olufunto Adedotun; Owoeye Adelanke Samuel

Volume 5, Issue 2 , September 2018, , Pages 146-155

  Two years single moving average and simple exponential smoothing with smoothing constant of 0.9 were applied to forecast the 2018 demand for domestic air passenger in Nigeria. Also, the two methods of forecasting were evaluated and compared with Mean Squared Deviations (MSD) to determine which method ...  Read More

A bi-objective mathematical model for designing the closed-loop supply chain network with disruption in production centers

Farhad Yazdani; Reza Tavakkoli Moghadam; Mehdi Bashiri

Volume 1, Issue 3 , September 2014, , Pages 180-197

  In recent years, reverse logistics has received more attention by researchers due to governmental regulations, environmental issues and social responsibilities. This paper deals with the design of a multi-product closed-loop supply chain network, in which some production centers experience minor and ...  Read More

Thermal Comfort
Studying the Stability of Melting and Solidification Behavior of Phase Change Material

Abdullah. N. Olimat; Ahmed Al-Salaymeh; Ayman Al-Maaitah

Volume 4, Issue 3 , November 2017, , Pages 192-198

  Experimental analysis of thermal properties of phase change material was conducted using DCS and TG apparatus. Moderate rang of temperature of phase change material was selected and experimentally investigated. Measurement of melting and solidification temperature at several heating rate are carried ...  Read More

Prioritization and analysis agility factors affecting the performance of project based organizations with Topsis technique

Elaheh Maghsoudi; Hadi Shirouyehzad; Arash Shahin

Volume 2, Issue 3 , September 2015, , Pages 195-203

  Uncertainly and change in the business environment has been a major topic in conducting research for long time. It seems that to recognize and classify the factors affecting organizational agility, need to specify the amount of their importance, because of knowing agility helps managers for better performance ...  Read More

Decision analysis and methods
A modification of technique for order preference by similarity to ideal solution (TOPSIS) through fuzzy similarity method (a numerical example of the personnel selection)

Elham Ebrahimi; Mohammad Reza Fathi; Seyed Mohammad Sobhani

Volume 10, Issue 2 , June 2023, , Pages 203-217

  Multiple criteria decision-making (MCDM) is well known nowadays as a methodology in which a set of techniques are integrated to evaluate a set of alternatives with specified criteria for the purpose of selecting or ranking. The Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is ...  Read More

Increase service selling of formaldehyde products by implementing quality function deployment (QFD)

Ganjar Sidik Gandara; Riko Muri; Humiras Hardi Purba

Volume 6, Issue 3 , September 2019, , Pages 219-231

  The purpose of this research is to make the right design in improving the service of selling formaldehyde products in the Chemical Industry according to customer requirements by implementing Quality Function Deployment. Complying on customer satisfaction is important in the competitive global market, ...  Read More

Fuzzy optimization
On solving fully fuzzy multi-criteria De Novo programming via fuzzy goal programming approach

Hamiden Abdelwahed Khalifa

Volume 5, Issue 3 , November 2018, , Pages 239-252

  In this paper, a Multi-Criteria De Novo Linear Programming (F- MDNLP) problem has been developed under consideration of the ambiguity of parameters. These fuzzy parameters are characterized by fuzzy numbers. A fuzzy goal programming approach is applied for the corresponding multi-criteria De Novo linear ...  Read More

Mathematical Model for Optimization of University Courses timetabling applying the criteria of quality of instruction

Hadi Shirouyehzad; Seyyedeh Athar Mousavirad; Seyed Mojtaba Sajadi

Volume 1, Issue 4 , October 2014, , Pages 259-270

  Timetabling is one of the most difficult issues in the world; this is a combinatory optimization issue and it has been proven that it is a NP-Hard issue.University Courses Timetabling is very important especially for the exams and courses. The manual solving of the Timetabling needs a broad domain of ...  Read More

Heuristics and Metaheuristics Algorithms
The new approach in market segmentation by using RFM model

Hadi Roshan; Masoumeh Afsharinezhad

Volume 4, Issue 4 , December 2017, , Pages 259-267

  Data analytics allows companies mining the patterns and trends in their customers data to implement more effective market segmentation strategies, then customize promotional offers, allocate marketing resources efficiently, and improve customer relationship management. However the implementation of such ...  Read More

Role of Critical Success Factors in Sustainable Supply Chain Management

Hamidreza Panjehfouladgaran; Nima Bahiraie

Volume 1, Issue 5 , December 2014, , Pages 320-328

  Environmental issues and globalization pushed companies to be more environmentally conscious and socially responsible. Recently, term of sustainability has been extended in various aspects like manufacturing processes to respond to mentioned concern. Moreover, numerous industries and companies applied ...  Read More

Engineering Optimization
Annotation of the corrosive ardour of petroleum oils

Suresh Aluvihara; Jagath K. Premachandra

Volume 5, Issue 4 , December 2018, , Pages 324-338

  Crude oil is an energy resource that mostly composed with hydrocarbons and trace corrosive compounds as well found some cruxes in the petroleum refining industry because of the vast applications of the different types of metals. There were expected to investigate the effect of two different types of ...  Read More

Development of a forecasting model for investment in Tehran stock exchange based on seasonal coefficient

Reza Darvishinia; Hossein Ebrahimzadeh Shermeh; Samira Barzkar

Volume 6, Issue 4 , December 2019, , Pages 333-366

  The present study aims at suggesting a model for intelligent investment, through enabling us to be Autoregressive Integrated Moving Average of ARIMA and seasonal coefficient. In this study, the researcher uses seasonal fluctuation Model. The previous trend of time series, related to the companies for ...  Read More

Information Retrieval
Leveraging Deep Learning Techniques on Collaborative Filtering Recommender Systems

Ali Fallahi RahmatAbadi; Javad Mohammadzadeh

Articles in Press, Accepted Manuscript, Available Online from 14 November 2021

  With the exponentially increasing volume of online data, searching and finding required information have become an extensive and time-consuming task. Recommender Systems as a subclass of information retrieval and decision support systems by providing personalized suggestions helping users access what ...  Read More