Maghsoud Amiri

Allameh Tabataba'i University | ATU · Department of Industrial Management

In the real-world problems, we are likely confronted with some alternatives that need to be evaluated with respect to multiple conflicting criteria. Multi-criteria decision-making (MCDM) refers to making decisions in such a situation. There are many methods and techniques available for solving MCDM problems. The evaluation based on distance from av...

Flexible job-shop scheduling problem (FJSP) is an extension of the classical job-shop scheduling problem. FJSP is NP-hard and mainly presents two difficulties. The first one is to assign each operation to a machine out of a set of capable machines, and the second one deals with sequencing the assigned operations on the machines. This paper proposes...

In past years, the multi-attribute decision-making (MADM) approaches have been extensively applied by researchers to the supplier evaluation and selection problem. Many of these studies were performed in an uncertain environment described by fuzzy sets. This study provides a review of applications of MADM approaches for evaluation and selection of...

Studies related to transportation planning and development have been in the center of activities of many researchers in the past decades. Road congestions issues, economic problems, health problems and environmental problems are some examples of complex problems that can be caused by urban and public transportation in big cities. Evaluating urban a...

Today, most of the issues and challenges faced by managers and decision makers are complex and multifaceted. More clearly, due to the developments of technologies, emerging trends in various industries, competitive markets, and rapid and transformative changes in the business environment, managers and decision makers have faced an uncertain environ...

The developments of the fourth industrial revolution have caused changes in all areas of society, including production. The changes in production caused by the fourth industrial revolution have also resulted in fundamental changes in the supply chain and have converted it to supply chain 4.0. Organisations must be receptive to supply chain 4.0 to m...

Many real-life issues can be modeled as multi-criteria sorting problems. In this type of problem, a set of options are assigned to predefined classes. This research aims to propose a new hybrid approach including simplified group best–worst and multi-criteria sorting methods to classify options considering decision-maker constraints. It is crucial...

Objective: Attention to environmental issues in supply chain activities has been taken into consideration due to the increase in public awareness and strict laws related to environmental protection. Initially, only the economic aspects of the supply chain were considered in the network configuration, but with increasing concerns about environmental...

Shorter product life due to technology development and changing customer needs requires optimal supply chain management and structuring. Achieving this optimization brings productivity to the organization. A sustainable and reliable supply chain (S&RSC) as an emerging paradigm, with a comprehensive view, leads the supply chain network design (SCND)...

The process of production, consumption, and final disposal of electrical and electronic equipment usually leads to harmful waste to the environment called e-waste. Eliminating and decreasing this type of waste could be considered as an essential goal for many enterprises working toward sustainable management systems. In this paper, we aim at introd...

Aromatic sulfonated polymers as a suitable candidate for Nafion membrane in proton exchange membrane fuel cells are the subject of many research activities. It has proved that these polymers need higher ion exchange capacities to reach the same proton conductivities compared to the Nafion membrane, which is a result of their different microstructur...

Purpose Business research and development (R&D) is of critical importance for innovation and economic growth. The purpose of this study is to present an application of the analytic hierarchy process (AHP) to select the most appropriate policy measure to support the business expenditure on R&D (BERD). Design/methodology/approach AHP method adopts a...

Nowadays, the production of stone paper, in addition to its widespread utilization in various fields, does not require water consumption, cutting down trees, and stone paper products are easily recyclable and recoverable. Due to the importance of developing and using stone paper and paying attention to environmental matters, Closed-Loop Supply Chai...

On-time delivery of products to customers and meeting delivery deadlines play a key role in customer satisfaction. Improving the reliability of systems with the aim of interruptions in work has an effective role in this regard. One of the models of scheduling layout is the two-stage assembly flow shop system, in which in the first stage items are p...

One of the major problems with projects is that they are not completed according to schedule. Uncertainty always exists at the heart of real-world project scheduling problems. This paper introduces a fuzzy project buffer management (FPBM) algorithm which is a combination of the adaptive procedure with resource tightness (APRT) and fuzzy failure mod...

The use of blockchain technology leads to improved operations and supply chain (SC) integration. Moreover, identifying and evaluating the blockchain technology application criteria in the logistics system is a Multi-Criteria Decision-Making (MCDM) challenge that requires taking into account the perspectives of experts with varying degrees of SC exp...

Circular supply chain management is a recent innovation to save resources and reduce waste in the supply chain of any industry. The concept of circular supply chain management is more important these days due to environmental concerns, lack of resources, and increased waste. The main purpose of this study is to find the main issues and prioritize t...

Objective: One of the main influential factors in the occurrence of behavioral problems in children with attention deficit/hyperactivity disorder (ADHD) is the behavior related to the parenting styles. This study aimed at investigating the effect of mindful parenting training on mothers of children with ADHD in reducing the symptoms of hyperactivi...

In most data envelopment analysis (DEA) models, the internal structure of production units is ignored during the evaluation process. To solve this problem, a stepwise DEA model has been considered by the researchers. Another weakness of classical DEA models is that the weights of inputs and outputs are being changed each time the model is run. In s...

This paper considers simultaneously two areas of facility location and assortment planning in a competitive environment. In fact, a chain store that has competitors in the market locates a new facility. As there are different products in the market that can substitute with each other, it is intended to determine the best product assortment as well....

Considering the cognitive, random, uncertain, and flexible constraints, a robust, stochastic, possibilistic, and flexible chance-constrained model was developed based on credibility measurement. The ultimate aim was closed-loop supply chain network design. Different attitudes of decision-makers were answered by more flexible measurements of optimis...

This paper incorporates the preventive maintenance activities into the two-stage assembly flow-shop scheduling problem, which has m machines at the production stage and an assembly machine at the second one. In this paper, three maintenance policies are employed based on the maximization of machine’s reliability and availability. This problem is NP...

Resource scheduling, job sequencing, and assigning them to available resources are the most critical issues in manufacturing systems, such as flexible job-shop systems. In addition, scheduling uncertainties have attracted significant attention in this field. This study investigates the dual-resource constrained flexible job-shop scheduling (DRCFJSS...

Prompt reactions to the vital emergency relief necessities right after sudden-onset disasters, which are included relief distribution and victim evacuation, are crucial to the mitigation of the disaster influences in the concerned regions. This paper renders a bi-objective optimization model to plan a humanitarian districted logistics network, in w...

Our goal is to address the complicated problem of strategic supplier selection with interrelated and insufficient data. To achieve this goal, we proposed our Strategic Supplier Selection Methodology (SSSM). First, SSSM formulates the enterprise strategies and evaluation criteria. Then, we developed a novel method called Grey Principal Component Ana...

The polyethersulfone (PES)‐based composite polymers have been extensively studied for many years as the core of various scientific activities, such as fuel cell production, water treatment, reverse osmosis, ultrafiltration, nanofiltration, and gas separation, which represent a significant field of research for several applications. In the present s...

Nowadays, the increase in data acquisition and availability and complexity around optimization make it imperative to jointly use artificial intelligence (AI) and optimization for devising data-driven and intelligent decision support systems (DSS). A DSS can be successful if large amounts of interactive data proceed fast and robustly and extract use...

Digital supply chains (DSCs) are collaborative digital systems designed to quickly and efficiently move information, products, and services through global supply chains. The physical flow of products in traditional supply chains is replaced by the digital flow of information in DSCs. This digitalization has changed the conventional supplier selecti...

In today's financial markets, the increasing volume of data poses a big challenge for investors in the stock market. On the other hand, the weaknesses of traditional mathematical methods in managing financial investments have led investors and financial institutions to apply artificial intelligence algorithms. Therefore, the main objective of this...

Evaluating the life cycle of buildings is a valuable tool for assessing sustainability and analyzing environmental consequences throughout the construction operations of buildings. In this study, in order to determine the importance of building life cycle evaluation indicators, a new combination method was used based on a quantitative-qualitative m...

Background The transportation sector has wide-ranging effects on the human societies. Public transportation has a key and undeniable role in the lives of people in society and affects important aspects such as economic, social, cultural and environmental. Therefore, assessing the sustainability of public transportation in urban areas can be conside...

The best-worst method (BWM) is one of the most important methods for determining the weights of criteria or options in multi-criteria decision-making (MCDM) and has attracted the attention of many researchers due to its advantages such as fewer numbers of comparisons and higher consistency rate. Given that real-world decision making is often associ...

The weights of criteria in multi-criteria decision-making (MCDM) problems are essential elements that can significantly affect the results. Accordingly, researchers developed and presented several methods to determine criteria weights. Weighting methods could be objective, subjective, and integrated. This study introduces a new method, called MEREC...

Purpose – The aim of this research is to propose a buffer sizing and buffer controlling algorithm (BSCA) as a heuristic algorithm for calculating project buffer and feeding buffers as well as dynamic controlling of buffer consumption in different phases of a wind power plant project in order to achieve a more realistic project duration. Design/meth...

In the real world, vague phenomenon is quite common in the production/inventory models. Today’s, a production/inventory model that can be more closely related to the real vagueness as well as can take account of the vague factors that contribute to production costs, is required to process the vagueness. Meanwhile, producing some products with imper...

Sustainability has become one of the most important issues in the field of supply chain management (SCM). In recent years, many studies have been conducted about how to select a sustainable supplier and different methods have been proposed for this purpose in fuzzy and deterministic environments. A review of the research literature reveals that dec...

The construction industry is an important industry because of its effects on different aspects of human life experiences and circumstances. Environmental concerns have been considered in designing and planning processes of construction supply chains in the recent past. One of the most crucial problems in managing supply chains is the process of eva...

In today's competitive world, the number of organisations using Lean Six Sigma techniques is increasing widely. The Six Sigma concept was originally developed to improve the efficiency and quality of manufactured products, but is now widely used by financial institutions, hospitals, retailers and other service industries. One of the most important...

In recent years, given the ever-increasing technological advancements and emergence of virtual business markets, thousands of transactions are taking place internet networks, leading to generation of large amounts of information in short periods of time. The produced information includes numbers, figures, images, files, financial calculations, and...

he various factors affecting the firm’s innovation performance are strongly influenced by the contextual factors. Considering the economic and strategic importance of the Advanced Materials Sector in Iran, this paper attempts to model the factors influencing the innovation performance of the firms in this sector. For this purpose, a survey was carr...

This research aims to introduce the FOBMA heuristic algorithm to determine the size of project buffer and feeding buffers and to dynamically control buffer consumption in different phases of projects. Innovations of this research are as follows: Introducing a heuristic algorithm for project buffer management, applying pentagonal fuzzy numbers to es...

The swiftly growing wind farm projects together with the increasing uncertainty of these types of construction projects makes it more probable that projects will face delay. This research aims to introduce a heuristic algorithm to determine the sizes of project buffer and feeding buffers as well as dynamically control buffer consumption , named as...

Hospitals are the most important and costly component of the healthcare system. Therefore, hospital performance evaluation (HPE) is an important issue for the managers of these centres. This paper presents a new approach for HPE that can be used to calculate the efficiency, effectiveness, and productivity of hospitals simultaneously. Efficiency ref...

Hospital performance evaluation (HPE) has a major role in improving the quality, safety, and effectiveness of health care services, so it is indispensable for proper and continuous operation of hospitals. Although several studies have been performed on HPE, few have used group decision-making (GDM). This study presents a comprehensive multi-criteri...

The best-worst method (BWM) is a multi-criteria decision-making method which works based on a pairwise comparison system. Using such a systematic pairwise comparison enhances consistency and reliability of results. The BWM results in single solution when there are two or three criteria, and for problems with fully-consistent systems, with any numbe...

Supply chain collaboration as a collective approach to compete against rivals, aims to improve performance of supply chain. In order to develop collaboration across supply chain it is vital to identify factors affecting collaboration and their interactions. to do so, we have proposed a hybrid methodology to develop a model of factors affecting supp...

Following Chesbrough's statements of open innovation as a spectrum rather than a dichotomy, many studies have been conducted to reflect the dynamics in its implementation in the form of typologies, modes, themes, and mechanisms. These studies, with considering only some aspects of the innovation process, have tried to develop a method for classifyi...

Decision-making processes in different organizations often have a hierarchical and multilevel structure with various criteria and sub-criteria. The application of hierarchical decision-making has been increased in recent years in many different areas. Researchers have used different hierarchical decision-making methods through mathematical modeling...

One of the most essential topics for the present and future generations is sustainability. Today, because of threats made by traditional and old manufacturing practices, sustainability has become an essential topic in manufacturing companies. Attaining a sustainable manufacturing process requires making decisions about the strategies of manufacturi...

The aim of this article is to explore the power-law correlation between size of Iran Nano innovation system and their citation-based impact. For this reason, we analyze articles of Iran Nano innovation system based on Web of Knowledge database. The main questions for this study are: Does the distribution of citation on this innovation system follow...

This research develops an expert system to addresses a novel problem in the literature of buffer allocation and production lines. We investigate real-world unreliable unbalanced production lines where all time-based parameters are probabilistic including time between parts arrivals, processing times, time between failures, repairing times, and setu...

The decision-making process is often carried out by managers. Today, considering current complicated issues, managers prefer to provide participatory decision-making and management. The group decision-making process collects the priorities of different individuals. The best-worst method (BWM) is a fairly new method, offering favourable results thro...

In this paper, a mixed-integer nonlinear programming model is developed for a general edible oil closed loop supply chain network design problem under hybrid uncertainty which is then transformed to its linear counterpart. In order to cope with the hybrid uncertainty in input parameters, scenario-based and fuzzy- based parameters, a new approach is...

This paper presents a new model of two-echelon periodic supply vessel planning problem with time windows mix of facility location (PSVPTWMFL-2E) in an offshore oil and gas industry. The new mixed-integer nonlinear programming (MINLP) model consists of a fleet composition problem and a location-routing problem (LRP). The aim of the model is to deter...

The purpose of this paper is to provide a systematic decision framework to support decision makers in choosing or constructing the most appropriate practices for OI adoption. This work brings OI into the realm of practices by moving the focus from outcome to the practices -, i.e. from OI as a new artifact to the act of innovating. So this paper, af...