Alireza Goli

University of Isfahan · Faculty of Engineering

Optimization plays an important role in several branches of the engineering sciences [...]

In today’s dynamic and competitive free market, businesses strive to gain a distinct competitive advantage, enabling them to seize opportunities and overcome potential threats. Achieving and sustaining superior performance has become a fundamental objective for companies. Accordingly, the main objective and contribution of this research is to delve...

Nowadays, the business landscape is highly focused on establishing efficient logistics systems, with numerous companies striving to gain a strong foothold in the global market and achieve maximum productivity and cost effectiveness [...]

Over the last decade, sustainable supply chain management (SSCM) has become a very pronounced topic, receiving increasing attention from different communities [...]

Designing resilient supply chain networks for vaccine development and distribution requires reliable and robust infrastructure. This stud develops a novel two-stage decision support framework for configuring multi-echelon Supply Chain Networks (SCNs), resilient supplier selection, and order allocation under uncertainty. Resilient supplier selection...

Supply chain network design is one of the most important issues in today’s competitive environment. Moreover, the ratio of transportation costs to the income of manufacturing companies has increased significantly. In this regard, strategic decisions, as well as tactical decisions making, are of concern for supply chain network design. In this resea...

The excessive consumption of fossil fuels has sparked debates and caused environmental damage, leading the global community to search for a suitable alternative. To achieve sustainable development goals and prevent harmful climate scenarios, the world needs to increase its use of renewable energy. Biodiesel, a clean and eco-friendly fuel with a hig...

The circular economy and circular supply chain (CSC) can be considered as environmentally friendly alternatives for the linear economy and linear supply chains. The objective of CSC is to apply the economic, social, and environmental dimensions to reduce the total consumed energy. Despite its growing importance and popularity, a limited number of s...

Product portfolio design is one of the important and effective factors in the financial and physical flows of various supply chains, especially dairy products. Accordingly, the financial and physical flows of the portfolio should be taken into consideration during the supply chain design. In this study, a closed-loop supply chain (CLSC) network is...

Blood platelets are a typical instance of perishable age-differentiated products with a shelf life of five days (on average), which may lead to significant wastage of some collected samples. At the same time, a shortage of platelets may also be observed because of emergency demands and the limited number of donors, especially during disasters such...

Nowadays, the speed of implementation of technological advances is increasing. Moreover, the economic challenges posed by technological and social developments have led industrial companies to increase their agility and responsiveness in order to be able to manage the entire value chain. On the other hand, one of the most interesting and at the sam...

Flexible supply chain networks are one of the most influential classes of supply chain in production and service. In such networks, different delivery modes can significantly increase the efficiency of the entire chain. In this article, mixed integer programming is used to design four-echelons and multi-product supply chain networks. The introduced...

This study investigates the optimization of non-permutation flow-shop scheduling problems and lot-sizing simultaneously. Contrary to previous works, we first study the energy awareness of non-permutation flow-shop scheduling and lot-sizing using modified novel meta-heuristic algorithms. In this regard, first, a mixed-integer linear mathematical mod...

In this research, a new method to determine the supply chain performance based on its sustainable strategies is proposed. This method consists of a balanced scorecard, path analysis, and hybrid Shapley value and Multimoora method. The main contribution of this research is to design an intelligent performance evaluation system for different supply c...

The process of heating water consumes a lot of energy. In South Africa (SA) up to 40% of household energy consumption is utilized for water heating. In this regard, the use of renewable energies, especially solar, can help reduce the energy crisis in this country. In this study, applying the solar water heaters (SWHs) in home-scale has been explore...

This study examines how to build customer loyalty in the online retailing industry of China. It focuses on whoever does online shopping for physical goods in the Business to Consumer (B2C) internet store. The study also discusses the drive mechanism of logistics service quality, energy efficiency, and customer loyalty to the internet store, which i...

Organ transplantation is a crucial task in the healthcare supply chain, which organizes the supply and demand for various vital organs. In this regard, dealing with uncertainty is one of the main challengings in designing an organ transplant supply chain. To address this gap, in the present research, a mathematical formulation and solution method i...

Since the last decade, transportation and distribution systems have experienced significant growth and development. Designing distribution systems utilizing electric vehicles is one of the main issues in this field. Accordingly, this research provides a novel solution method for a two-echelon distribution system using electric vehicles. At the firs...

This special issue of the Foundations of Computing and Decision Sciences, titled “Computational Performance Analysis based on Novel Intelligent Methods: Exploration and Future Directions in Production and Logistics”, is devoted to the application of Computational Performance Analysis (CPA) for real-life phenomena. The special issue and its editoria...

Medical waste management (MWM) system is one of the most important issues in the management of medical services and entails a high cost for those in charge of collecting and disposing of this type of hazardous materials. With increasing social awareness and greater knowledge of health and environmental issues, reducing raw material reserves and ene...

Home healthcare, a novel type of health treatment provided at residents’ homes for specific populations (elderly, disabled), is typically less expensive, more convenient, and efficient. The purpose of this article is to offer a paradigm for scheduling medical professionals from various medical institutes. With the need for home health care likely t...

Discussions of the antifragility, resiliency, sustainability, and agility of supply chains are important in the research and management of supply chains in these difficult times, considering the ongoing pandemic of COVID-19, summarized by Ivanov in 2020 who proposed, viable supply chains are characterized by resiliency, sustainability, and agility...

Municipal solid waste (MSW) management is known as one of the most crucial activities in municipalities that requires large amounts of fixed/variable and investment costs. The operational processes of collection, transportation and disposal include the major part of these costs. On the other hand, greenhouse gas (GHG) emission as environmental aspe...

A decrease in the utilization of fossil energies, mainly by replacing them with renewable energy sources (RESs), is regarded as a potential energy source in today’s applications. RESs are broadly utilized for heating purposes and particularly with applications in solar water heater (SWH). Despite the accessibility of SWH technologies and their affo...

Aggregate production planning (APP) within a supply chain is known as one of the main activities in general planning of large and leading companies throughout the world. In the present study, a survey is conducted on the importance of three main factors: (1) human paradigm, (2) reliability, and (3) uncertainty in the APP. To do so, these three fact...

This study develops a novel mathematical model to design a sustainable mask Closed-Loop Supply Chain Network (CLSCN) during the COVID-19 outbreak for the first time. A multi-objective Mixed-Integer Linear Programming (MILP) model is proposed to address the locational, supply, production, distribution, collection, quarantine, recycling, reuse, and d...

The present paper addresses a novel two-echelon multi-product Location-Allocation-Routing problem (LARP). It also considers the integration of issues such as disruption, environmental pollution, and energy-efficient vehicles as currently critical issues in a Supply Chain Network (SCN) that includes production plants, central warehouses, and retaile...

This study proposes a robust two-echelon periodic multi-commodity Location Routing Problem (LRP) by the use of RFID which is one of the most useful utilities in the field of Internet of Things (IoT). Moreover, uncertain demands are considered as the main part to design multi-level petroleum logistics networks. The different levels of this chain con...

The transport of perishable products is in need of specific control and safety operations, either due to their short shelf life or their particular storage circumstances. This study investigates an extended Location-routing-inventory problem (LRIP) for perishable products, in which a two-phase hybrid mathematical model is developed. In the first ph...

A decrease in the utilization of fossil energies, mainly by replacing them with renewable energy sources (RESs), is regarded as a potential energy source in today's applications. RESs are broadly utilized for heating purposes and particularly with applications in solar water heater (SWH). Despite the accessibility of SWH technologies and their affo...

This paper addresses Acoustic Emission (AE) from Computer Numerical Control (CNC) machining operations. Experimental measurements are performed on the CNC lathe sensors to provide the power consumption data. To this end, a hybrid methodology based on the integration of an Artificial Neural Network (ANN) and a Shuffled Frog-Leaping Algorithm (SFLA)...

Roughly 8 percent of the final energy used for heating and cooling of buildings and industries around the world is provided by renewable energies. Nevertheless, a major part of the energy consumed for heating is based on fossil fuels. Turkey's energy policies are aimed at providing secure, sustainable, and cost-effective energy, enhancing domestic...

In today's competitive environment, it is essential to design a flexible-responsive manufacturing system with automatic material handling systems. In this study, a fuzzy Mixed Integer Linear Programming (MILP) model is designed for Cell Formation Problem (CFP) including the scheduling of parts within cells in a Cellular Manufacturing System (CMS) w...

This study provides a three-objective mixed-integer linear mathematical model to design a sustainable closed-loop supply chain network in the aluminum industry. In this regard, the proposed model optimizes economic, social, and environmental objectives simultaneously. The main contribution of this research is to provide a framework for the sustaina...

This research specifically addresses the prediction of dairy product demand (DPD). Since dairy products have a short consumption period, it is important to have accurate information about their future demand. The main contribution of this research is to provide an integrated framework based on statistical tests, time-series neural networks, and imp...

This study concerns the optimization of green supply chain network design under demand uncertainty. The issue of demand uncertainty has been addressed using a scenario-based analysis approach. The main contribution of this research is to investigate the optimization of cross-dock based supply chain under uncertainty using scenario-based formulation...

In this research, a parallel machine sequence-dependent group scheduling problem with the goal of minimizing total weighted earliness and tardiness is investigated. First, a mathematical model is developed for the research problem which can be used for solving small-sized instances. Since the problem is shown to be NP-hard, this research focuses on...

Municipal solid waste (MSW) management is among the essential tasks of municipalities that requires large amounts of fixed/variable and investment costs. In this system, the processes of collection and transportation include the major part of these costs. On the other hand, greenhouse gas (GHG) emission as environmental aspect and citizenship satis...

In this research, designing a sustainable, multi-level, multi-products, and multi-period closed-loop supply chain network for perishable products is addressed. For this purpose, an integrated mathematical model is proposed. The main objectives are to minimize the production, distribution, and customer satisfaction related costs, minimize total CO2...

Flow Shop Scheduling (FSS) problem constitutes a major part of production planning in every manufacturing organization. It aims at determining the optimal sequence of processing jobs on available machines within a given customer order. In this research, a novel bi-objective Mixed-Integer Linear Programming (MILP) model is proposed for FSS with an o...

Iran is among the ten disaster-prone countries and, in terms of earthquake, it has been ranked the sixth in the world. Although the damages caused by the disasters are not irreversible from different aspects, they could be reduced to minimum by choosing appropriate preventive actions as well as preparedness plans to counteract the impacts of these...

Purpose – Every day, the sun provides by far more energy than the amount necessary to meet the whole world's energy demand. Solar energy, unlike fossil fuels, does not suffer from depleting resource and also releases no Greenhouse Gas emissions when being used. Hence, employing solar irradiance to produce electricity via photovoltaic systems has si...

Cross-docking practice plays an important role in improving the efficiency of distribution networks, especially, for optimizing supply chain operations. Moreover, transportation route planning, controlling the Greenhouse Gas (GHG) emissions and customer satisfaction constitute the major parts of the supply chain that need to be taken into account i...

A constant development of gas utilization in domestic households, industry, and power plants has slowly transformed gaseous petrol into a noteworthy wellspring of energy. Supply and transportation planning of liquefied natural gas (LNG) need a great attention from the management of the supply chain to provide a significant development of gas tradin...

In this research, designing a sustainable, multi-level, multi-products, and multi-period closed-loop supply chain network for perishable products is addressed. For this purpose, an integrated mathematical model is proposed. The main objectives are to minimize the production, distribution, and customer satisfaction related costs, minimize total CO2...

Municipal solid waste (MSW) management is among the essential tasks of municipalities that requires large amounts of fixed/variable and investment costs. In this system, the processes of collection and transportation include the major part of these costs. On the other hand, greenhouse gas (GHG) emission as environmental aspect and citizenship satis...

As the dairy products have a short consumption period, the accurate prediction of their demand is very important for the dairy industry. Accordingly, this research specifically addresses the prediction of dairy product demand (DPD). The main contribution of this research is to provide an integrated framework based on statistical tests, time-series...

The integration of big data analytics and cognitive computing results in a new model that can provide the utilization of the most complicated advances in industry and its relevant decision-making processes as well as resolving failures faced during big data analytics. In E-projects portfolio selection (EPPS) problem, big data-driven decision-making...

Edge and fog computing mainly deal with Internet of Things (IoT). Practically, problems related to remote sensors or devices are typically where edge computing and fog computing incorporate. Thermal comfort of urban open spaces is one of the most important topics in the field of edge and fog computing. It is necessary to fulfill the demands for mor...

The main objectives of the problem are as follows: Minimizing the total cost including production, outsourcing, workforce, holding, shortage and employment/unemployment costs, AND Minimizing the total pollution emission released by normal and overtime production, AND Maximizing the reliability of the production system to possibly fulfill all demand...

The main objectives of the problem are represented as follows: Maximizing total amount of income from the reverse logistics in waste management, AND Maximizing total job opportunity, RESULTING IN: Economically and Socially Sustainable Waste Management System

This paper proposes a robust two-echelon periodic multi-commodity Location Routing Problem (LRP) by the use of RFID which is one of the most useful utilities in the field of Internet of Things (IoT). Moreover, uncertain demands are considered as the main part to design multi-level petroleum logistics networks. The different levels of this chain con...

In order to coordinate the supply chain, reordering strategy of needed goods must be synchronised and sequence of production and replenishment cycle time must be optimised in terms of cost. Therefore, this paper studies the economic lot and delivery scheduling problem for multi-stage supply chain. The common cycle time and integer multiplier polici...

This paper provides an integrated framework based on statistical tests, time series neural network and improved multi-layer perceptron neural network (MLP) with novel meta-heuristic algorithms in order to obtain best prediction of dairy product demand (DPD) in Iran. At first, a series of economic and social indicators that seemed to be effective in...

Fuel cells are potential candidates for storing energy in many applications, but their implementations are limited due to poor efficiency and high initial and operating costs. The purpose of this research is to find the most influential fuel cell parameters applying adaptive neuro-fuzzy inference system (ANFIS). The method of ANFIS is implemented f...

This study seeks to provide a new method by proposing three hybrid algorithms. The proposed algorithms include genetic neural network hybrid algorithm, simulated annealing neural network hybrid algorithm, and shuffled frog-leaping neural network hybrid algorithm. The efficiency and reliability of the presented hybrid algorithms in prediction of win...

Developing and designing new products are the main operating objectives of companies today. Today the industry that is changing rapidly, stop means Reacting to a slow death as the will have emerged and the commitment to continuous techno-logical change and development, prioritizing the needs of customers and competitors. R & D (Research and Develop...

The process of exam scheduling at the level of universities and educational institutes is known as an important issue with complicated constraints such that it belongs to the NP-Hard problems. In most cases, it is required to manually provide exams timetable that it depends on much time and suffers from the requisite quality insofar as a student wo...

The process of exam scheduling at the level of universities and educational institutes is known as an important issue with complicated constraints such that it belongs to the NP-Hard problems. In most cases, it is required to manually provide exams timetable that it depends on much time and suffers from the requisite quality insofar as a student wo...

The optimization of the product portfolio problem under return uncertainty is addressed here. The contribution of this study is based on the application of a hybrid improved artificial intelligence and robust optimization and presenting a new method for calculating the risk of a product portfolio. By applying an improved neural network with runner...

Outline: • Introduction, • Problem description / Mathematical model, • Uncertainty, and Robust Optimization, • Augmented ε-constraint method, • Computational results and Model validation, • Sensitivity analysis, • Conclusion and Future Works, • References

Urban waste collection is one of the principal processes in municipalities with large expenses and laborious operations. Among the important issues raised in this regard, the lack of awareness of the exact amount of generated waste makes difficulties in the processes of collection, transportation and disposal. To this end, investigating the waste c...

This paper addresses the multiobjective, multiproducts and multiperiod closed‐loop supply chain network design with uncertain parameters, whose aim is to incorporate the financial flow as the cash flow and debts' constraints and labor employment under fuzzy uncertainty. The objectives of the proposed mathematical model are to maximize the increase...

Abstract Purpose-The purpose of this paper is to forecast wind power generation in an area through different methods, and then, recommend the most suitable one using some performance criteria. Design/methodology/approach-The Box-Jenkins modeling and the Neural network modeling approaches are applied to perform forecasting for the last 12 months. F...

This paper addresses a robust multi-objective multi-period aggregate production planning (APP) problem based on different scenarios under uncertain seasonal demand. The main goals are to minimize the total cost including in-house production, outsourcing, workforce, holding, shortage and employment/unemployment costs, and maximize the customers’ sat...

This study addresses the multi-objective multi-mode resource-constrained project scheduling problem with payment planning where the activities can be done through one of the possible modes and the objectives are to maximize the net present value and minimize the completion time concurrently. Moreover, renewable resources including manpower, machine...

Product portfolio optimization (PPO) is a strategic decision for many organizations. There are several technical methods for facilitating this decision. According to the reviewed studies, the implementation of the robust optimization approach and the invasive weed optimization (IWO) algorithm is the research gap in this field. The contribution of t...