
Masoud RabbaniUniversity of Tehran | UT · Department of Industrial Engineering
Masoud Rabbani
Professor
About
235
Publications
46,666
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5,238
Citations
Introduction
production planning,
logistics
routings problems
humanitarian logistics
Publications
Publications (235)
This study presents an integrated supply chain network model for biodiesel and bioethanol production, incorporating torrefaction under uncertain conditions related to the establishment of new facilities. The proposed mixed-integer linear programming model aims to minimize the total cost of the supply chain while maximizing social objectives such as...
In a three-channel supply chain, coordination can be challenging especially when a manufacturer has to work with a retailer and an online platform. In such a scenario, sales efforts can be critical to the success of the supply chain. However, there is a risk of free riding behavior by either the retailer or the manufacturer, which can lead to subop...
Purpose
Due to mitigate against natural disasters like earthquake and to distribute relief items, designing humanitarian relief chain networks is an attentional issue. Agile and efficient distribution of relief items after occurring a disaster is significant, especially when some of the relief items are perishable. Therefore, the purpose of this pa...
Laboratories are essential to healthcare systems, making it crucial to enhance their performance and service quality while addressing safety concerns. This study has two main objectives: first, to evaluate the performance of six COVID-19 laboratories in an Iranian city based on safety climate participation, psychosocial safety climate, and job sati...
The beverage market in Iran has witnessed a surge in competition as renowned brands have entered the industry in recent years. This heightened competition underscores the significance of developing a competent and well-designed supply chain network (SCN). Furthermore, the prevalence of ecological and societal concerns in recent years has significan...
Automation has become a major part of assembly lines because of the rapid technological advancement by industry 4.0. Two major assembly line branches are mixed-model assembly line sequencing and robotic assembly line balancing, which deal with the continuous production of various versions of a product and the use of robots to increase assembly line...
The essential requirement for food stands as a pivotal human need, exerting significant ecological impact from production to consumption. Meat, a key dietary component, offers essential nutrients vital for human health. This paper presents a bi-objective two-stage stochastic optimization model for a green forward-reverse meat supply chain network d...
Telemedicine has emerged as a major alternative for in-person visits, offering numerous benefits for both patients and healthcare providers. Additionally, trust is a key factor that significantly impacts treatment outcomes and patient satisfaction. This paper introduces a comprehensive approach to assess the performance of a telemedicine center con...
Effective competition in the manufacturing industry requires careful planning and scheduling of production activities, commonly referred to as production planning and scheduling (PPAS). Furthermore, today, all organizations are striving to preserve the environment and improve the climate by reducing greenhouse gas emissions. This study presents a b...
One of the most important topics in data science is the prediction topic. The prediction accuracy is often sought after in many articles, aiming to establish trust in the prediction results. Customer revenue prediction is deemed crucial in any industry, as awareness of future income allows for strategic development across various industry sectors....
The horticulture industry has a special role in the health of society due to its direct impact on the food security in society, so it is one of the important industries that affect the lives of all people. Also, due to the increase in the growth of the world population, the need for food is increasing day by day, so it is necessary to pay special a...
In the current global landscape where sustainability is increasingly critical, this study offers a significant contribution by redefining supply chain models through the lens of circular economy principles. It introduces a novel two-stage stochastic model tailored to designing sustainable closed-loop supply chains, adept at navigating uncertainties...
Purpose
Pre-positioning and distributing relief items are important parts of disaster management as it simultaneously considers activities from both pre- and post-disaster stages. This study aims to address this problem with a novel mathematical model.
Design/methodology/approach
In this research, a bi-objective mixed-integer linear programming mo...
Purpose
Throughout human history, the occurrence of disasters has been inevitable, leading to significant human, financial and emotional consequences. Therefore, it is crucial to establish a well-designed plan to efficiently manage such situations when disaster strikes. The purpose of this study is to develop a comprehensive program that encompasse...
Due to the unforeseen outcomes of the recent COVID-19 pandemic, the adoption of essential policies and tactics to implement public vaccination programs has gained attention worldwide. Statistics indicate that medical waste production is growing dramatically, posing a major risk to both individuals and the environment if not properly handled. In thi...
Covid-19 pandemic left scars on different industries, and now that we are experiencing the post-pandemic situation, it is essential to plan our next moves. When it comes to home healthcare devices (HHDs), they can be useful in many aspects such as keeping the patients safe at the home. Nowadays, the world is experiencing the post-pandemic situation...
Providing a greenhouse gas emissions perspective based on the characteristics of perishable products has made the cold chain an important topic. This paper develops a mixed integer nonlinear programming routing-location model to improve the cold chain logistics network design within the Balanced Score Card (BSC) pillars by maximizing the customer s...
Operating rooms (ORs) are one of the most stressful and complex work environments, and the surgical staff are highly exposed to ergonomic problems. In addition, the satisfaction of the surgical staff is directly affected by these factors. In this paper, an integrated intelligent algorithm is introduced to evaluate the performance of ORs based on er...
The emergency department (ED) is one of the most critical and high-risk sections of the health system. Providing quality services at a fast pace is vital in this ward since it directly affects people's lives. The COVID-19 pandemic has turned into a serious challenge for physicians and emergency departments (EDs). The growing number of patients who...
Vaccines play a vital role in monitoring and preventing the growth of contagious diseases. As of December 2019, With the prevalence of corona worldwide, all communities, particularly developing countries, came across irresistible challenges in providing a proper vaccine for citizens. Moreover, accurate waste control is of great importance, particul...
Purpose
This paper deals with the combined management and design of a sustainable pharmaceutical supply chain network with considering recycling.
Design/methodology/approach
This paper first utilizes the analytical hierarchy process to select and rank green manufacturers. Second, the authors proposed a multi-objective nonlinear mathematical model...
Meal delivery services is an enormous competitive market, and the most influential factor in this market is customer experience. As a result, it is crucial to have an efficient delivery system that ensures customer satisfaction regarding on-time, fresh delivery of meals. Accordingly, taking advantage of novel modes of transportation and developing...
Purpose
Every day, small and big incidents happen all over the world, and given the human, financial and spiritual damage they cause, proper planning should be sought to deal with them so they can be appropriately managed in times of crisis. This study aims to examine humanitarian supply chain models.
Design/methodology/approach
A new model is dev...
As one of the most complicated and challenging networks among healthcare systems, the organ transplant network necessitates an effective supply chain network design. In this article, a bi-objective mixed integer nonlinear programming (MINLP) location-allocation model is proposed to design the organ transplant supply chain network, with the objectiv...
During the past years, many kinds of research have been done in order to reduce the cost of transportation by using different models of the vehicle routing problem. The increase in the amount of pollution caused by vehicles and environmental concerns about the emission of greenhouse gases has led to the use of green vehicles such as electric vehicl...
According to significant challenges of the banks, there is a greater need to assess the existing banking system and implement corrective actions. In this paper, the financial soundness of 11 Iranian private banks is evaluated by using the CAMELS indicators (Capital adequacy, Asset quality, Management, Earning, Liquidity, and Sensitivity to market r...
Along with the destructive effects of catastrophes throughout the world, the COVID-19 outbreak has intensified the severity of disasters. Although the global aid organizations and philanthropists aim to alleviate the adverse impacts, many employed actions are not impactful in dealing with the epidemic outbreak in disasters. However, there is a gap...
Purpose
Unfortunately, the occurrence of natural disasters is inevitable all over the world. Hence, this paper aims to analyze a scenario-based collaborative problem in a relief supply chain (RSC), where nongovernmental organizations can participate in relief activities with governmental organizations. This study focuses on location-allocation, inv...
Nowadays, designing a framework for an environmentally-friendly waste collection network is of higher importance due to population growth. This study presents a multi-depot green capacitated location routing problem (MGCLRP) considering the time window and in-facility queuing under uncertainty. A scenario-based robust optimization is employed to de...
One of the most critical issues for any production organization to compete in the current competitive business environment is supply chain network design (SCND). Besides, by increasing greenhouse gas emissions, various organizations have imposed many restrictions to prevent the overproduction of these gases in their production planning. This study...
This article utilizes balanced score card (BSC) and resilience engineering factors for organizational performance. The methodology involves two stages: in the first stage, we tried to find the efficiency of organization based on previous projects of the organization applying data envelopment analysis (DEA). In order to apply DEA model for organizat...
Despite all the advances in supply chain coordination, some businesses are still coordinated traditionally, including the media supply chain, in which the actor’s efficiency or deficiency is not considered in their wage determination. It means the success or failure of the project is nothing to do with the actor’s revenue. This article proposes a n...
The post-disaster response phase aims to reduce casualties by accessing critical areas to transfer relief aid, search and rescue operations to the injured as soon as possible. Debris from the disaster blocks roads and prevents rescue teams from reaching critical areas. It is crucial to decide which routes should be cleared for relief aid transporta...
In real life conditions, the buyers sometimes pay all or a percentage of the product price before receiving it, and the wholesaler sometimes allows them to prepay it at equal intervals. The present study develops a new mathematical model for products with non-instantaneous deteriorating rates by considering consecutive advance payments. In the prop...
The last decade has seen numerous studies focusing on the closed-loop supply chain. Accordingly, the uncertainty conditions as well as the environmental impacts of facilities are still open issues. This research proposes a new bi-objective mixed-integer linear programming model to design a closed-loop supply chain tire remanufacturing network consi...
In this study, supply chain network design is considered. Responsibility and profitability are the company's main features, so we proposed a model to maximize profit, reducing logistic costs, especially shortage costs, to increase responsibility. Adopting the right sales policy by a seller is an issue that needs to be addressed. In this research, w...
This paper presents a multi-objective optimization model for a sustainable municipal solid waste management system, emphasizing recycling and waste-to-energy technologies. The objective functions attempt to minimize total net cost, greenhouse gas emissions, and total waste collection and treatment time. The social aspect of the system is controlled...
The rapid development of technology has reduced the longevity of electronic products; this can be led to increase generation of electronic and electrical waste worldwide. The protection of the environment and the optimum use of non-renewable resources should be our priority in today's world. Therefore, e-waste management involves two crucial proces...
Purpose
This paper aims to present a novel bi-objective mathematical model for a production-inventory system under uncertainty.
Design/methodology/approach
This paper addresses agile and lean manufacturing concepts alongside with green production methods to design an integrated capacitated lot sizing problem (CLSP). From a methodological perspecti...
Emissions of hazardous greenhouse gases from vehicles poses a remarkable threat to the environment. This study considers a bi-objective green delivery and pick-up problem wherein vehicle fuel burnt per distance, as a CO2 emission metric, and fixed costs of the fleet are minimized. A mathematical model is devised to obtain exact solutions. A hybrid...
Management of hazardous waste deals with the cost-effective, efficient, social, and environmental concern, and the concept of sustainability includes all of these issues. In this regard, new approaches are emerging to handle waste management according to the concept of smart city. In the current study, a mathematical model is developed for the haza...
Nowadays, mixed-model assembly lines (MMALs) are extensively applied to manufacture different products with no need for the changeover of the whole lines to satisfy the diversified preferences of consumers. In some assembly lines, there is a considerable variation in cycle times, which reduces production efficiency. However, a bypass sub-line that...
Supply chain managers have realized that competition between supply chains has replaced competition between companies. In addition, with increasing disruptions and uncertainty in planning, companies need to be able to make informed decisions at risk. Coordination in the resilient supply chain and appropriate selection of suppliers play a key role i...
p-Hub location-allocation problem is one of the most interesting subjects in the location theory. Hubs act as switching points to reduce the transportation cost. In this study, two new solution methods, a constraint programming (CP) based model and a hybrid of k-means and genetic algorithm (KGA), are developed to generate exact and approximate solu...
In recent years, we have observed stunning advances in supply chain coordination. But despite all these scientific methods, some of the businesses are still coordinating traditionally. Media supply chain, and above all its components, the cinema industry has been coordinated traditionally for years. One of the boldest problems in the media supply c...
Hazardous wastes’ volume produced by human activities has increased in recent years. Consequently, associated risks involved in the treatment, recycling, disposing, and transportation of these hazardous materials have become more attractive for the researchers. In this study, we propose a new model for hazardous waste location routing problem. Appe...
Proper transportation and distribution of commodities plays a pivotal role in the expenditures of supply chains. In this paper, a clustered vehicle routing problem with pick-up and delivery is studied. A fleet of distinct vehicles is concurrently responsible for distribution of medicines and collection of their wastes. Collected wastes should be se...
Data Envelopment Analysis (DEA) is one of the non-parametric methods for evaluating each unit's efficiency. Limited resources in the healthcare system are the main reason for measuring the efficiency of hospitals. Because Operating Rooms (OR) are the most vital part of any hospital, we determine the factors affecting operating rooms' efficiency and...
Considering ergonomic factors in assembly line balancing problems can significantly improve human ergonomic conditions. In this study, a two-stage framework is developed to balance a mixed-model parallel U-shaped assembly line by considering ergonomic risks. In the first stage, according to various ergonomic standards and using the best-worst metho...
Cooperative advertising is a cost-sharing mechanism in which a part of retailers' advertising investments are financed by the manufacturers. In recent years, investment among advertising options has become a difficult marketing issue. In this paper, the cooperative advertising problem with advertising options is investigated in a two-period horizon...
A key decision in design of a supply chain is the configuration of the network. In this study, supply chain network design problem is investigated and an efficient solution approach is presented. Specifically, a heuristic graph theoretic-based algorithm is proposed for solving a multi-echelon responsive supply chain network design problem with late...
In today's competitive world, companies must maintain their customers and attract new ones. Hence, they paid a great attention paid to mixed model assembly lines (MMAL). In this study, a two-step framework was developed to investigate and optimize customer relationships and the sequence of orders in an MMAL. First, based on customers past behavior,...
Cryptocurrencies, which the Bitcoin is the most remarkable one, have allured substantial awareness up to now, and they have encountered enormous instability in their price. While some studies utilize conventional statistical and econometric ways to uncover the driving variables of Bitcoin's prices, experimentation on the advancement of predicting m...
In the current situation,taking into consideration the environmental and social issues are related with the production and distribution of products in supplychain systems,due tothe global concerns related with emitting lots of greenhouse gaseswithin the manufacturing process and overlooking the major needs of publicThis paper proposes a newmultiobj...
Goals: We present a multi-objective mathematical model to determine the optimum production sequence of the mixed-model assembly line (MMAL). Maximizing customer satisfaction and minimizing costs are the objectives of the problem. Methodology: Customers are divided into two clusters of high priority and low priority by k-medoids method. Also, to get...
In the new era, robots play a significant role in assembly lines to assemble different products. In this paper, a combination of humans and robots is used in the mixed-model assembly lines (MMAL) to get better performance from the assembly line. The four-sided assembly line (4-AL) is also considered; that is, in addition to the usual work done on t...
Non-uniform distribution of customers in a region and variation of their maximum willingness to pay at distinct areas make regional pricing a practical method to maximize the profit of the distribution system. By subtracting the classic objective function, which minimizes operational costs from revenue function, profit maximization is aimed. A dist...
Increase in the consumption of natural resources in recent decades, followed by increased waste volume, has caused irreparable damage to the environment and society. The problems brought about by the waste in today's societies, if not attended to, may become more devastating in the future for generations after us. A myriad of research has been publ...
In the contemporary world, combining the concept of agile and lean manufacturing (LM) is one of the most strategic and appealing concerns in the industrial environments. In this paper, a new Leagile structure is proposed for a supply chain. This research covers long term and mid-term horizon by designing a supply chain network up to the order penet...
Purpose
The purpose of this study is twofold: first, to examine the role of non-governmental organizations (NGOs) in increasing customer environmental awareness (CEA) to decrease the municipal solid waste (MSW), and secondly, to examine the effect of government policies in the amount of air pollution caused by transfer stations (TSs).
Design/metho...
Using second-generation biomass and biofuel deal with environmental pollution and CO2 emissions. Therefore, this paper design an integrated multi-period bi-objective biofuel supply chain network using support vector machine (SVM) and economic analysis to reduce the cost of generating biofuels and CO2 emissions. The economic analysis consists of thr...
In search for the promising road transportation fuel, bioethanol has attracted much attention interest during the last few decades. Meanwhile, sewage sludge shows significant potential in the context of biofuel, which motivates policy-makers to commercialize its utilization. To put a step forward in sustainable sewage-based bioethanol production, a...
In this research, the pricing and selling decisions of two supply chains are examined to maximise the profit of the chains considering an advance booking policy where the chains offer complementary items and customers able to buy products from both online and real stores (offline). The proposed model is developed without/with online-to-offline (O2O...
The demand for bioethanol has increased owing to the growing environmental and social concerns. Designing an efficient Bioethanol Supply Chain (BSC) is a precondition for commercializing the bioethanol production. In this regard, this paper proposes a comprehensive Decision Support Tool (DST) integrating Artificial Neural Network (ANN), mathematica...
Todays, meeting the healthcare needs of patients at home has many benefits. By providing regular and timely healthcare servicing, in addition to reducing costs, the patient's recovery process also speeds up. In this paper, a multi-depot vehicle routing problem is considered with regard to time windows and fuzzy demands. This paper attempts to optim...
Purpose
In recent years, governmental regulations and the pressure of non-governmental organizations have convinced corporations to consider sustainable issues in their decisions. A simultaneous design of forward and reverse logistics can keep us away from sub-optimality caused by tackling these two phases (forward and reverse logistics) separately...