multiple-criteria decision-making
Sara Asili; Ebrahim Teimoury
Abstract
Considering the competitive environment between suppliers, the issue of choosing them based on important criteria is very important for decision makers, especially in LARS supply chain which is a combination of sustainable and LARG supply chain. The aim of this paper is to present a multi-objective mathematical ...
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Considering the competitive environment between suppliers, the issue of choosing them based on important criteria is very important for decision makers, especially in LARS supply chain which is a combination of sustainable and LARG supply chain. The aim of this paper is to present a multi-objective mathematical model for selecting suppliers based on criteria related to the LARS supply chain concepts. The innovations of the presented model include simultaneous consideration of multiple objectives, multiple periods, multiple products, and master production schedule. The quality of the presented model has been examined on a case study in the country's automotive industry. In this paper, at first, the most important criteria have been extracted from the literatuare ,then finalized by experts in the country's automotive industry (case study in Zamyad Company), and DEMATEL approach has been used to examine the internal relationships of the criteria in each category of criteria. At the second ,the network of criteria is determined, the importance of each criterion relative to the other was determined using a pairwise comparison matrix and considered as input to the SuperDecision software. At last, a mathematical model for optimal supplier selection is presented.Based on the results obtained, the ordering cost has had the greatest impact on the objective function. Also, considering the concept of backlog demand has led to flexibility in production volume and, as a result, reduced overall costs.
Industrial management
Sara Bagherzadeh Rahmani; Javad Rezaeian; Ahmad Ebrahimi
Abstract
In today’s project-based organizations, where multiple projects are executed concurrently within work teams, human resources play a crucial role in the success or failure of these organizations. Consequently, human resources are recognized as one of the most essential resources for these organizations, ...
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In today’s project-based organizations, where multiple projects are executed concurrently within work teams, human resources play a crucial role in the success or failure of these organizations. Consequently, human resources are recognized as one of the most essential resources for these organizations, and their optimization can significantly increase productivity while reducing organizational time and costs. This underscores the importance of effective human resource management and highlights the need for special attention to this area. Therefore, this study presents a mixed-integer nonlinear programming model for the multi-objective project scheduling problem with resource constraints, multi-skilled personnel allocation and the assignment of projects to work teams. The mathematical model of this research includes the multiple objectives of simultaneous minimization of the total costs of setting up work teams and the use of human resources and the total flow time of projects. To make the model more realistic, the effect of learning is also considered. Subsequently, a diverse set of test problems at varying scales was designed. Then, the Multi-Objective Artificial Immune System (MOAIS) algorithm and the Non-dominated Sorting Genetic Algorithm II (NSGA-II) were utilized to solve the problems. The results demonstrate the superior performance of the NSGA-II algorithm compared to the MOAIS algorithm.
Industrial management
Mohsen Keramatpanah; Mohammad Taghi Taghavifard; Maghsoud Amiri; Mehdi Mehdi Shamizanjani
Abstract
Given the rapid pace of digital transformation in recent years, examining its impact on businesses, particularly in the banking industry, is of significant importance. Digital banking has not only revolutionized organizational performance through technologies such as the Internet of Things (IoT), blockchain, ...
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Given the rapid pace of digital transformation in recent years, examining its impact on businesses, particularly in the banking industry, is of significant importance. Digital banking has not only revolutionized organizational performance through technologies such as the Internet of Things (IoT), blockchain, cognitive intelligence, artificial intelligence (AI), and machine learning, but it also plays a crucial role in achieving sustainability goals. Sustainable digital banking entails balancing technological innovation, economic growth, social responsibility, and environmental preservation. In this regard, addressing sustainability requirements in digital banking and developing relevant models can help reduce operational costs in the banking network, optimize energy consumption, enhance financial inclusion, and improve service efficiency, ultimately contributing to sustainable development.This study aims to develop sustainability strategies in digital banking by employing an integrated approach that combines the fuzzy Delphi method, interpretive structural modeling (ISM), and system dynamics. The research methodology is based on a systematic review of the theoretical foundations. After reviewing relevant articles and gathering expert opinions, 26 key variables related to digital banking sustainability were identified and validated. The primary objective of this research is to provide decision-makers and managers with a clear understanding of digital banking sustainability, analyze the causal relationships between variables, and explore various scenarios for achieving sustainable development in this domain.
safety,risk and reliability
Reza Masoudi; Mohammad Reza Zahedy; Morteza piri
Abstract
This study aims to enhance the performance of maintenance teams by proposing a mathematical programming model for team formation, focusing on the maximization of knowledge sharing. In this model, key factors influencing knowledge sharing, including knowledge absorptive capacity, knowledge-sharing capability, ...
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This study aims to enhance the performance of maintenance teams by proposing a mathematical programming model for team formation, focusing on the maximization of knowledge sharing. In this model, key factors influencing knowledge sharing, including knowledge absorptive capacity, knowledge-sharing capability, willingness to share knowledge, and motivation to acquire knowledge, along with the required expertise for maintenance activities, are identified and incorporated into the optimization process. The data used to develop the model were collected through performance evaluation questionnaires and expert interviews. The implementation of the proposed model in an organization with extensive physical assets demonstrates that optimizing team formation leads to significant improvements in key performance indicators, such as reducing mean time to repair, increasing equipment availability, and enhancing overall system productivity. The findings of this study indicate that knowledge sharing not only improves individual and team skills, but also plays a key role in improving the performance of maintenance teams. The proposed model can be used as an efficient decision-making tool for maintenance managers in various industries and help them form optimal teams to improve efficiency, reduce operational costs, and enhance equipment reliability.
perfomance management
Maryam Sharifi; Sohrab Kordrostami; Leila Khoshandam
Abstract
In production technology, studying the effect of an indicator on one or more other indicators while maintaining efficiency, under the name of marginal rate, can provide valuable information to managers for better management of the system. In this paper, the aim is to study the effect of meaningful indicators ...
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In production technology, studying the effect of an indicator on one or more other indicators while maintaining efficiency, under the name of marginal rate, can provide valuable information to managers for better management of the system. In this paper, the aim is to study the effect of meaningful indicators on each other and in a specific two-stage structure with the presence of undesirable outputs. In this study, unlike previous studies, production technology is divided into two sub-technologies in a two-stage structure and then, focusing on the application issue, first the effect of a specific input from the first stage on the intermediate indicator is measured and then by calculating the changes made in this indicator, which is calculated by the proposed model, its effect on the specific final output is measured as a transmission factor. In this paper, focusing on data collected from 21 provincial power plants consisting of interdependent "generation" and "transmission" sections, each structural unit has a similar structure to the stated structure. Considering the total technology distribution, the effect of increasing or decreasing the fuel type component is taken as the first stage input on the electricity flow, and then the changes in electricity flow are measured on the total system revenue.
project management
mohammad forozandeh; Amirali Foukerdi; majid salamati
Abstract
Navigating today’s financial markets, which are fraught with uncertainties, necessitates a thorough understanding of the future of venture capital fund management. This requires innovative design and the adoption of new methods for managing knowledge-based projects. One effective approach to overseeing ...
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Navigating today’s financial markets, which are fraught with uncertainties, necessitates a thorough understanding of the future of venture capital fund management. This requires innovative design and the adoption of new methods for managing knowledge-based projects. One effective approach to overseeing various projects across industries is the establishment of a Project Management Office (PMO) as an organizational unit. The aim of this article is to design a suitable implementation framework for the PMO to enhance the management of knowledge-based projects, improve the business and investment ecosystem, and foster strategic partnerships with co-investors—key elements for boosting performance in companies and investment funds. To achieve this, the study analyzes the current maturity and development of the PMO within a fund, identifying the status of related processes and infrastructures from the stakeholders' perspective. Data were collected through interviews with five experts and analyzed using the Organizational Project Management Maturity Model. The findings indicate that establishing an effective PMO framework in a venture capital fund requires a comprehensive analysis of the current situation, assessing maturity levels, and determining starting points for improvement. This process is structured around four main steps: preparing the team and defining the research scope; assessing the current state and measuring maturity; identifying the desired maturity level; and presenting a plan to achieve the organization’s goals along with the necessary solutions.
modeling and simulation
Afshin Aminipour; Akbar Bagheri; Hamidreza Kordlooie
Abstract
The aim of this research is to analyze the impact of banking fintech on the risk levels of selected banks listed on the Tehran Stock Exchange.The statistical population consists of 41 banks and credit institutions listed on the Tehran Stock Exchange, according to the latest report by the Central Bank ...
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The aim of this research is to analyze the impact of banking fintech on the risk levels of selected banks listed on the Tehran Stock Exchange.The statistical population consists of 41 banks and credit institutions listed on the Tehran Stock Exchange, according to the latest report by the Central Bank of the Islamic Republic of Iran in May 2022. Using a systematic elimination method, and covering the period from 2019 to 2022, a sample of 8 banks was chosen. The results of hypothesis testing, based on the first and second models of the study (with Z-Score and business risk of the studied banks as the dependent variables, respectively), showed that in the first model, under the dynamic condition (with lag), the banking fintech variable does not have a significant effect on the risk management index of the selected banks. Additionally, it was found that in the non-lagged model, the fintech innovation variable, through improved operational performance, and the variable of operational revenues, as well as each bank’s share of total transaction values from mobile payment acceptance tools, significantly impact the risk management index. Other findings also showed that in both models, under both lagged and non-lagged conditions, variables related to each bank’s share of transaction values from mobile, POS, and internet payment acceptance tools, as well as fintech innovation variables related to improved operational performance and capital adequacy, do not significantly affect the risk management index of the selected banks listed on the Tehran Stock Exchange.
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