
Fariborz JolaiUniversity of Tehran, college of engineering · School of Industrial engineering
Fariborz Jolai
Ph.D Industrial engineering
About
343
Publications
80,123
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Citations since 2017
Introduction
Current research interest: Service and manufacturing systems Optimizations.
Methods and techniques: Stochastic process and Queue Theory.
Working on : Supply Chain Management and Health Care problems.
Additional affiliations
January 2008 - December 2012
Publications
Publications (343)
One of the patients' basic needs when referring to the hospital is to access doctors as soon as possible at a low cost. In this regard, many hospital managers aim to improve healthcare quality. They strive to plan and perform better patient flow in different parts of hospitals. With the widespread of Covid-19, the importance of this matter has beco...
Blood and blood banks play an essential role in patient care. This study proposes a novel mathematical model for Blood Supply Chains (BSCs), which minimizes the total costs and maximizes donor satisfaction by reducing the system’s waiting time. The model addresses several aspects of the BSC, such as locating collection centers, allocating blood don...
One of the crises of human beings today is the lack of natural resources and the increase in the production of industrial waste due to overproduction. Also, the gradual warming of the earth has become one of the most important topics of discussion today. However, the trend of increasing unnecessary production, the volume of waste, and consequently...
This paper studies a two-echelon reverse supply chain (RSC) involving a remanufacturer and a collector, in which the collector receives the used products by paying a reward to consumers. The reward amount given to customers is crucial for encouraging them to exchange used products. An exchanged item is accepted if it meets the minimum acceptable qu...
Health care facilities have not increased in response to the growing population. Therefore, government and health agencies are constantly seeking cost-effective alternatives so they can provide effective health care to their constituents. Around the world, health care organizations provide home health care (HHC) services to patients, especially the...
The lack of proper management of medical waste leads to environmental pollution and threatens the lives of communities. Good medical waste management means appropriate planning and monitoring at all stages, including collection, separation, treatment, recycling, and disposal which promotes a circular approach. This paper presents a multi-item, mult...
Decision-making has become one of the most important aspects of various problems. Accordingly, making the right decision accurately and efficiently based on the most influential criteria is still one of the critical challenges in this area. Among various optimisation issues, sustainable development of renewable energies is one the most crucial in w...
The current paper presented a stochastic integrated queueing-inventory-routing problem (QIRP) into a green dual-channel supply chain considering an online retailer with a vehicle routing problem (VRP) and a traditional retailing channel with an M/M/C queueing system. A mixed-integer non-linear programming model (MINLP) is presented to address the i...
The current paper presented a stochastic integrated queueing-inventory- routing problem (QIRP) into a green dual-channel supply chain considering an online retailer with a vehicle routing problem (VRP) and a traditional retailing channel with an M/M/C queueing system. A mixed-integer non-linear programming model (MINLP) is presented to address the...
This study’s main purpose is to provide helpful information using blood samples from COVID-19 patients as a non-medical approach for helping healthcare systems during the pandemic. Also, this paper aims to evaluate machine learning algorithms for predicting the survival or death of COVID-19 patients. We use a blood sample dataset of 306 infected pa...
Pre- and post-disaster relief operations often involve several humanitarian organizations (HOs) working simultaneously. Balanced and systemic resource-sharing schemes may enable HOs to collaborate effectively and conduct efficient relief operations. In this study, a novel two-stage stochastic model is developed which depends on information- and res...
p>The focus of this paper is to provide an authentic approach to solving bi-objective optimization problems. The target problem is a novel extension of a multi-period $p$-mobile hub location problem, which takes into account the impact of the traveling time at the hubs' network, the time spent at each hub for processing the flows, and the delay cau...
In today’s systems and networks, disruption is inevitable. Designing a reliable system to overcome probable facility disruptions plays a crucial role in planning and management. This article proposes a reliable capacitated facility joint inventory-location problem where location-independent disruption may occur in facilities. The system tries to sa...
The Covid-19 pandemic crisis has caused many difficulties worldwide. One of the most critical problems is that the emergency departments (EDs) have become overcrowded. Because this problem can increase patients' queue length and waiting times in EDs, this paper provides a mixed-integer non-linear mathematical model considering a preemptive M/M/C qu...
To successfully complete a project, selecting the most appropriate construction method and configuration is critical. There are, however, plenty of challenges associated with these complex decision-making processes. Clients require projects with the desired cost, time, and quality, so contractors should trade-off project goals through project confi...
Drone delivery as a novel approach for parcel delivery has been under the focus of many scholars and practitioners. In this regard, this paper introduces a stochastic-fuzzy multi-objective optimization model for designing a last-mile delivery system with drones and ground vehicles. The first two objective functions aim to minimize the detrimental e...
A closed-loop option for reusing, remanufacturing, and recycling waste products in the olive industry creates a high added value for this business network. This fact motivates the implementation of closed-loop supply chains for adopting an efficient and sustainable strategy in the olive industry in Iran. As one of the developing countries, Iran mus...
This research examines a single-stage green closed-loop supply chain (GCLSC) in which the green manufacturer, retailer, and collector try to reform the environmental effects of their operations, products, and services across the value chain according to their environmental responsibilities. The collector is responsible for performing the take-back...
The outbreak of COVID-19 sparked a massive movement among the world's people to control this dangerous and unknown disease. So many nutritionists have made many medical recommendations to control this disease by using special nutrients. In this regard, we decided to examine the effect of two nutrients, protein and fat, which are the main ingredient...
Recently, with efficient methods of cultivating microalgae at hand, researchers and investors have paid considerable attention to the production of different environmentally friendly biofuel products. In this study, a two-stage deterministic model is proposed to design a microalgae-based biofuel and co-product supply chain network (MBCSCN). In the...
Since food is one of the essential human needs, studies on this topic have always been a global concern. With the advent of COVID-19 and the emergence of many problems in all aspects of the food supply chain (such as production, transportation, distribution), this issue has become doubly important. This paper discusses an MINLP optimization model f...
The main cause of high-operating costs in open-pit mines is the costs of transportation. Therefore, reducing these costs could have a huge impact on overall mining efficiency and increasing profit. Meanwhile, the high cost of mining equipment, such as shovels and trucks, indicates the necessity of meticulous decision-making to find the optimal shov...
One of the principal problems in epidemic disruptions like the COVID-19 pandemic is that the number of patients needing hospitals’ emergency departments’ services significantly grows. Since COVID-19 is an infectious disease, any aggregation has to be prevented accordingly. However, few aggregations cannot be prevented, including hospitals. To the b...
As the destructive impacts of both human-made and natural disasters on societies and built environments are predicted to increase in the future, innovative disaster management strategies to cope with emergency conditions are becoming more crucial. After a disaster, selecting the most critical post-disaster reconstruction projects among available pr...
Off-site construction is becoming more popular as more companies recognise the benefits of shifting the construction process away from the construction site and into a controlled manufacturing environment. However, challenges associated with the component supply chain have not been fully addressed. As a result, this study proposes a model for three...
Due to increasing concern about the environmental impact of internal combustion engines, both companies and customers are inclined to much cleaner alternatives like electric vehicles. Moreover, to withstand the current competitive market, companies seek strategies like collaboration to reduce their operational costs and enhance their customer servi...
Project managers analyze the factors that affected projects' success, signifying performing a project in the scopes (Time, Quality, and cost) defined in the initial step. The implication of each factor on project success is essential since several of them have been specified in this area. Employing all of them is not feasible, and it may impose out...
Recently, with the expansion of communications and generated data, the need for processing this high volume of data in minimum time and maximum speed has increased. Also, performing this volume of computing operations requires high processing and storage resources leading to hardware cost increment. In such systems, one of the most critical challen...
Every year, many human lives are endangered by natural disasters. Preparing to deal appropriately with various crises can prevent potential risks or reduce their effects. In this research, for better preparation, both pre and post-crisis stages have been addressed. A multi-product and multi-period model is presented. And location of warehouses and...
This paper developed an acquisition management problem in a Closed-Loop Supply chain (CLSC) network. This study determines optimal selling prices of brand-new and remanufactured products, wholesale prices, and acquisition prices in various distribution and collection channel structures. It shows that determining the best structure is highly affecte...
Integrated decisions in the supply chain are one of the most attractive topics for researchers. But to get closer to the real-world problems, other real assumptions should be considered. One of these assumptions is the multi-agent view in which several sets of customers or agents with their own objective compete with each other to acquire the suppl...
Drop-in biofuels, which are functionally equivalent to petroleum-based transportation fuels and fully compatible with existing petroleum infrastructure, have been widely used in developed countries in recent decades as an effective means of reducing the greenhouse gas (GHG) emissions emitted by fossil fuels. The most challenging obstacles to biofue...
Data analytics and machine learning have grown in importance to efficiently manage large amounts of healthcare data. Recent statistics indicate that breast cancer is the most commonly diagnosed cancer worldwide. Different tumor features are available in various datasets for breast cancer detection. Filtering those to obtain an accurate diagnosis is...
A public bicycle sharing system makes bikes available for users to travel from one station to another in a city. Bicycles are repaired after getting used by users at the control centres if needed and then returned to their source bike station. There are very essential decision criteria to build a bicycle sharing system, the most important of which...
This paper aims to develop a sustainable closed-loop supply chain network model with a modular single product which is specifically designed for the automotive industry. Drawing upon sustainability criteria, three objective functions are formulated for the closed-loop network design problem including maximizing total profit across the network, mini...
This study addresses a humanitarian supply chain network that includes locating relief centers, pre-positioning and distributing relief items, and providing medical treatment in affected regions to help people suffering. Also, the role of non-governmental organizations along with governmental organizations and disruption in relief centers is examin...
Environmental sustainability is becoming a leading indicator for evaluating supply chain management. This study considers two players, a manufacturer and a retailer, that offer substitutable products and compete in green and price-sensitive markets. This article studies members’ decisions regarding pricing competition and cooperation (marketing cos...
Like the other financial markets, insurance markets need to increase their profit margins if they want to continue their activities. In this article, we examine the factors that can affect the costs of insurance companies and examine the relationships between these factors. We use two approaches to determine the effect of some variables on the char...
The most important aim in humanity's relief problems is the minimization of response time and reducing the rate of casualty in disasters. If paths are inappropriate for transferring relief items to the disaster areas, response time and the number of casualties will be increased. Therefore, airborne vehicles like helicopters are used in this study t...
pre>The focus of this paper is to propose a bi-objective mathematical model for a new extension of a multi-period p-mobile hub location problem and then to devise an algorithm for solving it. The developed model considers the impact of the time spent traveling at the hubs' network, the time spent at hubs for processing the flows, and the delay caus...
In this paper, a new binary integer programming mathematical model for scheduling nurses' problems in the emergency department of Kamkar Hospital in Qom province is developed. The manual arrangement of nurses by the head nurse and its time-consuming, occasional absences during the period and protests against injustices in the arrangement of nurses'...
The growing concerns about the Earth’s climate system and the increasing importance of saving raw materials are critical challenges that supply chain members mostly face, leading companies to sustainability and ‘going green’ missions. Environmentally friendly inventory management is one of the most crucial and key decisions that creates innovative...
Green supply chain management (GSCM) could be applied to enhance environmental and economic goals simultaneously; nevertheless, according to The University of Chicago Booth report, the overwhelming impacts of the COVID-19 epidemic have caused high fluctuations in market demand. Hence, green supply chain (SC) managers have faced challenges in the de...
Integrating strategic and tactical decisions to location-allocation and green inventory planning by considering e-commerce features will pave the way for supply chain managers. Therefore, this study provides an effective framework for making decisions related to different levels of the dual-channel supply chain. We provide a bi-objective location-a...
Significant increments of energy demand and the need to decarbonize the existing energy systems motivate policymakers to utilize renewable energy resources. Accordingly, this paper suggests a hybrid electricity generation system that operates with wind and municipal solid waste biomass to generate monotonous currents and protect the environment by...
Purpose
Due to the randomness and unpredictability of many disasters, it is essential to be prepared to face difficult conditions after a disaster to reduce human casualties and meet the needs of the people. After the disaster, one of the most essential measures is to deliver relief supplies to those affected by the disaster. Therefore, this paper...
We propose an enhanced multi-objective harmony search (EMOHS) algorithm and a Gaussian mutation to solve the flexible flow shop scheduling problems with sequence-based setup time, transportation time, and probable rework. A constructive heuristic is used to generate the initial solution, and clustering is applied to improve the solution. The propos...
The private sector is widely regarded as a useful element in the emergency response to disasters. Humanitarian organizations tend to cooperate with the private sector to deliver aids to affected areas and mitigate the complexity of disasters. In this paper, we propose an efficient relief chain consisting of a humanitarian organization (HO) and thir...
Recently, due to the efficiency of cultivating microalgae, researchers and investors have paid considerable attention to the production of different biofuel products that are environmentally friendly. In this study, a two-stage deterministic model is proposed to design a microalgae-based biofuels and co-products supply chain network (MBCSCN). In th...
Purpose
Pumped-storage hydroelectricity (PSH) is considered as an effective method to moderate the difference in demand and supply of electricity. This study aims to understanding of the high capacity of energy production, storage and permanent exploitation has been the prominent feature of pumped-storage hydroelectricity.
Design/methodology/appro...
Organizations must regard environmental and green concepts in their decision-makings and all of the significant tasks in supplier selection process for the supply chain. For this purpose, the evaluation of conflicting criteria with environmental and conventional approaches can be simultaneously considered in the green supplier selection problem (GS...
Today with the rapid improvement of new technologies, people tend to buy various products from online retailers which facilitate the purchasing process and save their valuable limited time. Two important and interconnected operations of each online retailing system are order picking and delivery planning. In an online system, lots of small orders i...
A heuristic substitutions policy to control inventories for a hybrid manufacturing/remanufacturing system with stochastic demand considering downward substitutions between three markets (new/once remanufactured/twice remanufactured units of one product) is presented. The policy governs whether or not to allow substitution options between the market...
This paper develops a mathematical model for post-disaster planning with human casualties, which can be considered as operational guidance for the proper use of emergency resources. For this purpose, a stochastic mixed-integer programming model is provided to formulate the problem. The objective functions of the model are (1) maximizing the surviva...
This study proposes a scenario-based mixed-integer programming model to investigate the responsive-resilient inventory-location problem under uncertainty. The proposed model minimizes the total costs and makes decisions about the location, allocation, and inventory problems. The literature showed that simultaneous consideration of responsiveness an...
Nowadays, fierce competition enforces supply chain planners to develop market‐oriented production strategies. Customer order decoupling point (CODP) could increase the supply chain efficiency and responsiveness simultaneously. The right position of CODP in production industries will result in a pattern for trade‐off between responsiveness and opera...
Vaccines and refrigerated trucks are critical resources for controlling the spread of epidemic diseases. This paper addresses a novel bi-objective vehicle routing problem to distribute vaccines among different regions to control the spread of communicable diseases in the aftermath of a disaster. The developed model aims to minimize the social cost...
Today with the outbreak of the COVID-19 many people prefer to stay home and buy their required products from online sellers and receive them in their home or office at their desired times. This change has increased the workload of online retailers. In an online retailing system, lots of orders containing different products arrive dynamically and mu...
Iran is considered one of the most polluted countries in the world, where major cities have consistently dealt with severe air pollution in recent decades. Fossil fuels account for a considerable portion of greenhouse gas (GHG) emissions in urban areas of Iran. Biofuels have been touted as an effective means of reducing urban air pollution. Since b...
An inventory control problem of a hybrid manufacturing/remanufacturing system under stochastic demand is studied. The paper proposes a successive substitution strategy between prime, budget and low budget segments of a market. Meaning a manufactured product may substitute for a remanufactured product at a discounted rate. The success of this propos...
Providing appropriate healthcare services in emergency departments (ED) after a disaster is a good way to reduce casualties. This study attempts to model an ED as a three-stage queue with a deteriorating patient’s health condition where the system experiences a disaster. Triage has been considered as the primary stage which classifies patients into...