Reza Tavakkoli-Moghaddam

Reza Tavakkoli-Moghaddam
University of Tehran | UT · Department of Industrial Engineering

Professor

About

803
Publications
178,625
Reads
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16,542
Citations
Additional affiliations
January 2006 - February 2015
University of Tehran
Position
  • Professor (Full)
September 2000 - May 2015
University of Tehran
Position
  • Professor (Full)
January 2000 - May 2015
University of Tehran
Position
  • Professor (Full)

Publications

Publications (803)
Article
The global conflict with the new coronavirus disease (COVID-19) has led to frequent visits to hospitals and medical centers. This significant increase in visits can be severely detrimental to the body of the healthcare system and society if the physical space and hospital staff are not prepared. Given the significance of this issue, this study inve...
Article
Full-text available
This paper examines the use of the Internet of Things (IoT) in the Food Supply Chain (FSC) and identifies the strengths and weaknesses of this system. Since this paper is a review study, the papers published from 2014 to June 2021 have been studied and 93 articles related to the field of IoT applications in the FSC have been reviewed. By reviewing...
Conference Paper
Stage shop scheduling is a type of manufacturing problem, in which operations need to be done on a group of jobs and are separated into different phases depending on their types. The stages are carried out in a sequential order; however, the operations within each stage are carried out in any order. In other words, the operations of a stage cannot...
Article
Full-text available
The efficient planning of search and rescue (SAR) operations is highly impactful in the disaster response phase, which offers a limited time window with a declining chance for saving trapped people. The present paper introduces a new robust decision support framework for planning SAR resource deployment in post-disaster districts. A two-stage decom...
Article
Full-text available
In this work, a new model is developed to determine optimum sustainable economic order quantity (EOQ) and economic production quantity (EPQ) values for multiple products of a supply chain with two echelons, consist of a retailer and a supplier, considering product return policy. Based on a literature review on previous related works in sustainable...
Article
Organizations that achieved higher capabilities to meet expectations by successfully implementing quality improvement plans can make adjustments to process monitoring without any losses for customers. This approach may reduce costs due to desensitization in monitoring. In this regard, the acceptance control chart (ACC) under the assumptions of inde...
Article
Full-text available
By developing markets and increasing world competition, today, companies' success is not only related to their performance but also the interaction and performance of their entire supply chain and distribution. In the supply chain strategy, operational functions, such as planning, purchasing, and financial affairs are considered all together. In th...
Article
In an Open-Pit Production Scheduling (OPPS) problem, the aim is to determine the mining sequence of an orebody as a block model. In common research methods for scheduling, commodity price and consequently block economic value are considered as fixed values. Due to commodity price time series fluctuations throughout the time, it is necessary to cons...
Article
Full-text available
To increase brand awareness, there is no doubt that advertisement can pave the path. This is due mainly to its impact on buyers’ decisions and is regarded as advertisement effectiveness. The more effective the advertisement, the steeper its revenue increase. Among all the advertising ways, television is enumerated as one of the most eminent ones. T...
Article
Full-text available
In today’s world, changes in the economic and industrial sectors are taking place more quickly than in the past. Based on today’s competitive market, considering the needs and desires of the customer is very important. Thus, designing the supply chain network to minimize the costs and improve the system efficiency, the service facility, and attenti...
Article
Full-text available
Natural disasters cause heavy casualties and financial losses annually. To reduce these damages, the rescue teams need to be planned effectively. In this regard, in this research, a mixed-integer programming model is offered to allocate and schedule rescue teams in a response phase of disaster management under uncertainty. The objective function mi...
Article
Full-text available
The worldwide prevalence of coronavirus disease (COVID-19) and the severe problems in the distribution of medical equipment have led to the modeling of multi-depot vehicle routing under uncertainty in the COVID-19 pandemic. The primary purpose of the proposed model is to locate warehouses and production centers and route vehicles for the distributi...
Article
Full-text available
In this paper, we studied a joint sustainable lot-sizing/ pricing problem in a two echelon supply chain consists of a retailer and a supplier. For each member of the supply chain, Mathematical profit function containing revenue function and different cost functions based on different factors of sustainability such as economic, environmental and soc...
Article
Full-text available
In an emergency medical system, customer coverage is directly affected by how ambulances are allocated to customers and how they should be returned to stations. The purpose of this paper is to obtain the best return strategy for ambulances to maximize the expected coverage concerning a predefined dispatch policy. A hypercube queuing model is presen...
Article
Full-text available
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...
Article
Operating rooms are among the most high-risk and vital parts of a hospital. Therefore, one of the most fundamental tasks of risk management is maintaining the safety of operating rooms. Resilience engineering (RE) can be introduced as a model for overcoming problems, and it seeks ways to raise success rates by focusing on and addressing complexitie...
Article
Operating rooms are among the most high-risk and vital parts of a hospital. Therefore, one of the most fundamental tasks of risk management is maintaining the safety of operating rooms. Resilience engineering (RE) can be introduced as a model for overcoming problems, and it seeks ways to raise success rates by focusing on and addressing complexitie...
Article
To achieve a good architecture for information flow in a contract capable of withstanding environmental disruptive events, the present study employs systems engineering approaches and proposes a reliable design for the architecture by modularising the concerned architecture. The study argues that the ‘modularisation’ can avoid propagation of damage...
Article
Due to the increase in the number of natural disasters and the significant amounts of waste generated in these events, having a comprehensive framework for its management in the recovery and response phases of disaster is necessary. Hence, this research investigates the disaster waste management problem by simultaneous consideration of sustainabili...
Article
Full-text available
This paper presents a new multi-objective mathematical model for the hub location and routing problem under uncertainty in flows, costs, times, and number of job opportunities. This model aims at minimizing the total transportation cost consisting of routing and fixed cost and maximizing the employment and regional development as social responsibil...
Preprint
Full-text available
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...
Preprint
Full-text available
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...
Article
Full-text available
This paper examines the use of the Internet of Things (IoT) in the Food Supply Chain (FSC) and identifies the strengths and weaknesses of this system. Since this paper is a review study, the papers published from 2014 to June 2021 have been studied and 93 articles related to the field of IoT applications in the FSC have been reviewed. By reviewing...
Article
Full-text available
There is so much interest in online purchasing within supply chain networks nowadays. After expanding the internet access and services, customers’ behavior has changed. Today, a customer’s shopping manner usually begins with the internet search. With this approach, we face some new trends in this field, such as online-to-offline (O2O) commerce that...
Article
Full-text available
A job processed later may consume more time in many realistic machine scheduling situations than the same job when processed earlier. This phenomenon is known as the deterioration of jobs. In this paper, two-machine flowshop scheduling problem under piecewise linear deteriorating jobs is investigated where the objective is to minimize the makespan....
Conference Paper
Full-text available
This paper presents a new integer bi-objective model to integrate reliability and intra-cell layout design in a cellular manufacturing system (CMS). The first objective is to minimize the total costs (e.g., inter and intra-cell material handling, setting up routes, machine overhead and operation) considering intra-cell layout, operation sequence, o...
Article
In an emergency medical system, the locations of ambulance stations has a direct impact on response time. In this paper, two location models are presented in combination with the hypercube queuing model to maximize coverage probability. In the first model, the locations of free and busy ambulances are considered in the system states, and the hyperc...
Chapter
Full-text available
Additive manufacturing (AM) is a promising technology for the rapid prototyping and production of highly customized products. The scheduling of AM machines has an essential role in increasing profitability and has recently received a great deal of attention. This paper investigates the scheduling of batch processing of parallel 3d-printing machines...
Chapter
The reconfigurable manufacturing system (RMS) has been acknowledged as an effective manufacturing paradigm to tackle high volatility in demand types and amounts. However, the reconfiguration needs an amount of time and leads to some level of resource wastage. Accordingly, a high frequency in the system’s reconfiguration may have a negative impact o...
Chapter
Home healthcare routing and scheduling problems provide a better condition for elderly and disabled people. In the presence of the worldwide pandemic of coronavirus disease 2019 (COVID-19 pandemic), these problems have shown their efficiency and necessity to notice this new group of patients suffering from COVID-19. For this purpose, a new mathemat...
Chapter
This paper proposes a multi-objective integrated facility location and drone routing problem in blood package delivery by considering sustainability factors. We seek to locate the predetermined number of capacitated launching facilities and charging stations for the drones’ battery. Candidate construction points are ranked by the TOPSIS method in t...
Article
The increasing severity and frequency of disasters have posed major challenges for people. Amongst, the risks of fatalities and injuries of people with disabilities (PWDs) have significantly increased. The Sendai Framework for Disaster Risk Reduction (SFDRR) initiated a movement to create a "disability-accessible and inclusive environment", which h...
Article
Statistical process monitoring, maintenance policy, and production have commonly been studied separately in the literature, whereas their integration can lead to more favorable conditions for the entire production system. Among all studies on integrated models, the underlying process is assumed to generate independent data. However, there are pract...
Article
Full-text available
A novel periodical mixed-integer mathematical model in the field of fresh agri-food product’s distribution (tomato product for instance) is developed in this paper. Green topics and two significant features of fresh agricultural products, namely freshness and ripeness, are added to the inventory routing problem (IRP) with simultaneous pickup and de...
Article
Full-text available
Here, a mixed‐integer linear programming model is developed to represent a transportation system of students traveling from/to a university campus. The concept of ridesharing is used and the mechanism of combinatorial auctions is incorporated within a routing‐based model. The mathematical model is based on the vehicle routing problem along with app...
Article
Risk assessment has an essential role in managing different risks and their effects. A failure mode and effects analysis (FMEA), as one of the most famous risk assessment tools, has frequently been used in a wide range of industries and organizations. In this study, a new fuzzy analytic hierarchy process (AHP)-based FMEA model is introduced for eva...
Preprint
Full-text available
In this paper, concurrent scheduling of jobs and transportation in a hybrid flow shop system is studied, where multiple jobs, transporters, and stages with parallel unrelated machines are considered. In addition to the mentioned technical features, jobs are able to omit one or more stages, and may not be executable by all the machines, and similarl...
Article
Full-text available
Home Health Care Supply Chain (HHCSC) is an interesting and widespread topic in developed countries due to an aging population's care. Home care services aim to provide general hygiene care and nursing considering dependency for older people. One of the real circumstances in such systems is that the two parties, caregivers and patients, adopt their...
Article
The purpose of emergency medical systems (EMS) is to save lives and reduce injuries with a quick response in emergencies. The performance of these systems is highly dependent on the locations of ambulances and the policy for dispatching them to the customers (i.e., patients). In this study, two new mathematical models are presented to combine the d...
Article
Purpose To avoid sub-optimization in wheat storage centers, one of the most strategic facilities, it is necessary to review and relocate them to be optimized regularly. The present study aims to propose an integrated method using geographic information systems (GISs) and an appropriate weighting algorithm for the relocation of wheat storage facilit...
Article
Full-text available
This research proposes the development of a resilience location-routing model for Post-Disaster Reconstruction Supply Chain (PDRSC) endeavors under a government-funded project and joint cooperation of government and private companies, which can (i) optimize the allotment of restricted reconstruction resources to damaged areas; (ii) minimize the cos...
Chapter
A school bus problem is one of the most important logistical issues faced by governments and school administrations, which is widely depends on route optimization and scheduling. This study presents a mathematical model for the single-load school bus problem for urban areas, which considers bus stop selection, bus route generation, and school bus s...
Article
Full-text available
Today’s complex supply chains are increasingly susceptible to the turbulent and fast-changing business environment and their economic implications. Resilience as an effective strategic planning during disturbances is a way to mitigate supply chain vulnerabilities. After reviewing the literature on the topic of a resilient supply chain, this paper e...
Article
Undesirable environmental impacts caused by fossil fuel consumption have motivated governments to focus on biofuels production. Therefore, in our paper, we design a multi-objective biodiesel supply chain from Jatropha, which includes biomass cultivation center, pretreatment, and oil extraction center, biorefinery, and demand zone. In our study, a t...
Article
Supply Chain Management (SCM), by way of one of the critical issues in the managerial aspect, plays a significant role in tackling humanitarian problems and difficulties. Due to some limitations (e.g., production capacity and storage capacity) and desires (e.g., cost reduction and rising revenues), supply chain managers always seek the best respons...
Article
Crew scheduling problem includes two separate subproblems, namely, crew pairing and crew rostering problems. Solving these two subproblems in a sequential order may not lead to an optimal solution. This study includes two main novelties. It combines these two subproblems and presents them in a single model. On the other hand, despite previous resea...
Preprint
Full-text available
In today’s world, changes in the economic and industrial sectors are taking place more quickly than in the past. Based on today’s competitive market, considering the needs and desires of the customer is very important. Thus, designing the supply chain network to minimize the costs and improve the system efficiency, the service facility, and attenti...
Article
This study concentrates on designing a medical waste management system with a hierarchical structure, including a local government and a waste management planner. The upper-level seeks to design and control the waste management facilities by minimizing the environmental risks related to the disposal of medical waste. While, the lower-level model is...
Article
A Markov decision process (MDP) is an appropriate mathematical framework for analysis and modeling a large class of sequential decision‐making problems. Real‐world applications necessitate the evaluation of the value of a decision according to several conflicting objectives. This paper presents an extended ϵ‐constraint method for a multiobjective f...
Article
The growing concerns of companies to economic savings, optimal utilization of resources, and increased environmental protection regulations prompt the manufacturers to be more focused on the recycling of the products that are at the end of their useful life. This study considers a job shop scheduling problem with reverse flows under uncertainty. Si...
Article
Inspiring by real-world assumptions, this paper aims to present a robust optimization model for a home health care routing-scheduling problem with uncertain service and travel times. The constraints include temporal precedence and synchronization constraints, timing constraints for the transferring biological samples, and constraints associated wit...
Article
Full-text available
Road accidents, as one of the causes of mortality in human societies, have many adverse social and economic consequences. Various measures can improve the safety of travel. One of them is to find appropriate location of relief infrastructures. The proper pre-positioning of relief chains locations can decrease road users' fatalities. Thus this paper...
Article
Full-text available
This paper addresses a competition problem in two Pharmaceutical Supply Chains (PSCs) with their exclusive retailer and manufacturer. However, the key to successful manufacturing is not just understanding a Product Life Cycle (PLC), but also proactively managing products throughout their lifetime, applying the appropriate resources and sales and ma...
Preprint
Full-text available
The present research proposes a new particle swarm optimization-based metaheuristic algorithm entitled “search in forest (SIF) optimizer” to solve the global optimization problems. The algorithm is designed based on the organized behavior of search teams looking for missing persons in a forest. According to SIF optimizer, a number of teams each inc...
Article
Purpose The construction industry is a key driver of economic growth. However, the adverse impacts of construction and demolition waste (CDW) resulted from the active construction projects on the economy, environment, public health and social life necessitates an appropriate control and management of this waste stream. Developing and promoting the...
Article
This paper presents a new bi-objective mathematical model to design a build-to-order supply chain (BTO-SC) network. In this paper, the demand of customers (dealers) is lead-time dependent and the time-sensitive parameter of the lead time is also dynamic and time-dependent. The objectives are to minimize the supply chain network cost and the number...
Article
Cross-docking is an effective logistics strategy that has long been studied in supply chains with perishable products, where short processing times for material flow are required. In this paper, a new multi-objective mixed-integer programming (MIP) model is proposed for the scheduling and routing of heterogeneous vehicles carrying perishable goods...
Article
Full-text available
Humanitarian logistics is an integral part of disaster relief operations, which involves the phases of preparedness, disaster operations, and post-disaster operations. Integrating the planning and execution between phases minimizes the gaps in providing relief to the affected population. This paper presents a two-stage multi-objective mathematical...
Article
In recent years, few studies have investigated an integrated model of triple components including statistical process monitoring (SPM), maintenance policy (MP), and economic production quantity (EPQ). Of those, not any research is found to monitor autocorrelated data. Moreover, although delayed monitoring (DM) policy was proposed for an integrated...
Article
Full-text available
In this research, a mixed-integer nonlinear programming model is formulated to design cellular manufacturing systems (CMSs) in multiple plants in a dynamic condition. The proposed mathematical model integrates significant manufacturing characteristics in designing CMSs along with the main strategies of production planning (PP) and location–allocati...