Article
Engineering, Industrial
Cristiane Ferreira, Goncalo Figueira, Pedro Amorim
Summary: The study focuses on evaluating the performance and solving the scheduling problem of a new generation of collaborative robots in manufacturing industry, proposing Constraint Programming model and Genetic Algorithm as solutions. It is found that collaborative tasks can reduce total work time, especially in environments with numerous precedence constraints and low robot eligibility.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2021)
Article
Engineering, Industrial
Behdin Vahedi-Nouri, Reza Tavakkoli-Moghaddam, Zdenek Hanzalek, Alexandre Dolgui
Summary: This paper explores an integrated production scheduling and workforce planning problem in a Reconfigurable Manufacturing System (RMS) using reconfigurable machines and human-robot collaboration. A new Mixed-Integer Linear Programming (MILP) model and an efficient Constraint Programming (CP) model are developed to solve the problem. Computational experiments show the superiority of the CP model over the MILP model in smaller instances and its ability to find high-quality solutions for larger instances within a reasonable computation time. It provides recommendations for managers dealing with this complex problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Andy Ham
Summary: This study introduces a novel constraint programming method for simultaneous scheduling of production and material transfer, outperforming traditional benchmark methods. It also proposes a medium-scale benchmark instance for further research and testing.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2021)
Article
Engineering, Industrial
Tian Yu, Jing Huang, Qing Chang
Summary: This paper introduces a method of using a chessboard setting to simulate decision-making in HRC assembly processes, optimizing completion time through a Markov game model. The application of a deep-Q-network (DQN) based multi-agent reinforcement learning method is compared with other approaches to improve scheduling efficiency, demonstrating effectiveness in a case study.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Engineering, Chemical
Shun -Xiang Shi, Si-Qi Jiang, Chun -Chen Nie, Biao Li, Hong-Hao Chang, Xiang -Nan Zhu
Summary: This study proposed a method to improve the debromination effect of harmful resin in waste printed circuit boards (WPCBs) by using ultrafine milling of resin and loading debromination agent on porous gasification slag. The results showed that using gasification slag-FeCl2/FeCl3 composite could increase the debromination efficiency. Therefore, cooperative treatment can achieve the resource utilization of the two wastes.
ADVANCED POWDER TECHNOLOGY
(2022)
Article
Engineering, Environmental
Solene Touze, Valerie Laperche, Agathe Hubau, Pauline Moreau
Summary: In this study, portable X-ray fluorescence (pXRF) and inductively coupled plasma-mass spectrometry (ICP-MS) after acid digestion were used to analyze the chemical composition of waste printed circuit boards (WPCB). The results showed that the 200 μm particle size sample had homogeneity and reliability, and pXRF measurements with loose powder showed low data dispersion. For samples with a particle size of 750 μm and 2 mm, the homogeneity needed to be compensated by increasing the number of repetitions. pXRF could provide a rapid non-intrusive approach for first-level screening of metal contents.
Article
Polymer Science
Aung Kyaw Moe, Jirasuta Chungprempree, Jitima Preechawong, Pornsri Sapsrithong, Manit Nithitanakul
Summary: The utilization of non-metallic printed circuit boards (NMPCBs) from waste printed circuit boards as a filler in PVC composites was studied to reduce environmental threats. Treated NMPCBs blended with PVC showed improved tensile modulus, thermal stability, and interfacial adhesion. The incorporation of 1 wt.% of GPTMS successfully modified the NMPCBs and enhanced the dispersion and interfacial adhesion in the PVC matrix.
Article
Engineering, Industrial
Kathryn E. Stecke, Mahdi Mokhtarzadeh
Summary: The study explores the advantages and scheduling constraints of human-robot collaboration in assembly lines, including optimal configurations and the impact of robot mobility on performance.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Management
Soroush Fatemi-Anaraki, Reza Tavakkoli-Moghaddam, Mehdi Foumani, Behdin Vahedi-Nouri
Summary: This paper investigates a dynamic scheduling problem in a job shop robotic cell, and proposes a solution using Mixed-Integer Linear Programming and Constraint Programming. The paper also explores the impact of buffer pick-up criteria, changes in robots' speed, and rescheduling priority on the model's output.
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE
(2023)
Article
Engineering, Environmental
Huichao Chu, Can Qian, Bingyang Tian, Shiyue Qi, Jia Wang, Baoping Xin
Summary: The pyrometallurgy coupling indirect bioleaching strategy effectively extracts copper and nickel from waste printed circuit boards, with calcination pretreatment significantly improving copper release while inhibiting nickel release. Treated waste PCBs can be safely reused as non-hazardous materials, reducing environmental risks associated with them.
RESOURCES CONSERVATION AND RECYCLING
(2022)
Article
Green & Sustainable Science & Technology
Guilherme Botelho Meireles de Souza, Mariana Bisinotto Pereira, Lucas Francisco dos Santos, Christian Goncalves Alonso, Veeriah Jegatheesan, Lucio Cardozo-Filho
Summary: This study explored the application of supercritical water technology in managing waste printed circuit boards, focusing on their recycling-oriented characterization and organic degradation. The study also investigated the subsequent treatment of liquid decomposition by-products, identified major gaseous products, and proposed a strategy to enhance combustible gas production.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Mathematics
Teeradech Laisupannawong, Boonyarit Intiyot, Chawalit Jeenanunta
Summary: This paper presents the application of a new mixed-integer linear programming model to the short-term scheduling of the pressing process in the fabrication process of multi-layer printed circuit board (PCB) manufacturing. The proposed model shows better size complexity compared to the previous model and outperforms it in terms of computational complexity.
Article
Materials Science, Multidisciplinary
Kang Yan, Chongwei Liu, Liping Liu, Min Xiong, Jiongtong Chen, Zhongtang Zhang, Shuiping Zhong, Zhifeng Xu, Jindi Huang
Summary: The effective recycling of waste printed circuit boards (WPCBs) can help conserve resources and reduce environmental pollution. This study investigates the pyrolysis and combustion characteristics of WPCBs in different atmospheres through thermogravimetric and Gaussian fitting analyses. The study also analyzes the pyrolysis products and combustion processes of WPCBs using thermogravimetric and Fourier transform infrared analyses (TG-FTIR) and thermogravimetry-mass spectrometry (TG-MS). The findings suggest that the pyrolysis and combustion processes of WPCBs involve multiple overlapping reactions. This study provides a theoretical basis for pollution control, process optimization, and reactor design in the pyrolysis of WPCBs.
INTERNATIONAL JOURNAL OF MINERALS METALLURGY AND MATERIALS
(2022)
Article
Engineering, Environmental
Zhiwei Peng, Jie Wang, Xin Zhang, Jiaxing Yan, Wenxing Shang, Jingfeng Yu, Guangyan Zhu, Mingjun Rao, Guanghui Li, Tao Jiang
Summary: This study reports the enrichment behaviors of heavy metals, including copper, tin, lead, and zinc, in the process of microwave pyrolysis of spent printed circuit boards. The results show that under optimal conditions, the pyrolyzed SPCB had higher contents of copper, tin, lead, and zinc. Metal discharge and volatilization were responsible for the loss of metals, and by controlling the pyrolysis conditions, the metals could be effectively enriched for subsequent treatment with high efficiency.
Article
Mathematics
Teeradech Laisupannawong, Boonyarit Intiyot, Chawalit Jeenanunta
Summary: This paper discusses the scheduling of the pressing process in PCB manufacturing, presenting a novel MILP optimization model and a heuristic algorithm. Experimental results show that the MILP model can find optimal schedules for small- to medium-sized problems within 2 hours, while the 3P-PCB-PH can find optimal schedules in a shorter computational time.
Article
Operations Research & Management Science
F. Shakouhi, R. Tavakkoli-Moghaddam, A. Baboli, A. Bozorgi-Amiri
Summary: This paper addresses competition problems in two pharmaceutical supply chains by analyzing the impact of marketing strategies on demand and offering Nash and Stackelberg games under the product life cycle. The results show that the average total profit of the supply chains at Nash equilibrium is 6.5 times that of Stackelberg, with the second supply chain experiencing significantly higher profits.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Operations Research & Management Science
Pardis Pourmohammadi, Reza Tavakkoli-Moghaddam, Yaser Rahimi, Chefi Triki
Summary: 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. The model aims at minimizing total transportation cost while maximizing employment and regional development. The study applies an M/M/c/K queue system to estimate waiting time at hub nodes and uses a fuzzy queuing method to model uncertainties in the network. An evolutionary meta-heuristic algorithm based on fuzzy invasive weed optimization, variable neighborhood search, and game theory is developed to solve the model and obtain near-optimal Pareto solutions. Experiments and a real transportation case-study validate the superiority of the proposed approaches.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Computer Science, Information Systems
Ali Mollajan, Seyed Hossein Iranmanesh, Reza TavakkoliMoghaddam
Summary: This study employs systems engineering approaches and modular design to propose a reliable architecture for information flow in a contract. By utilizing design structure matrix methodology and axiomatic design theory, the study demonstrates increased modularization and significantly enhanced overall reliability.
ENTERPRISE INFORMATION SYSTEMS
(2023)
Article
Engineering, Multidisciplinary
Keyvan Kamandanipour, Siamak Haji Yakhchali, Reza Tavakkoli-Moghaddam
Summary: This article proposes a data-driven ticket dynamic pricing methodology for passenger railway service providers. The methodology aims to maximize revenue under constrained train capacity by using machine learning and optimization tools. The results of the study indicate that the proposed methodology has the potential to improve service provider's revenue.
ENGINEERING OPTIMIZATION
(2023)
Article
Automation & Control Systems
Nastaran Oladzad-Abbasabady, Reza Tavakkoli-Moghaddam, Mehrdad Mohammadi, Behdin Vahedi-Nouri
Summary: A Home Health Care Routing and Scheduling Problem (HHCRSP) is investigated with both soft and hard time windows associated with caregivers and patients. Five different types of soft temporal dependency constraints are considered, and a bi-objective Mixed-Integer Programming (MIP) model is devised to incorporate staff rostering, vehicle routing, and scheduling simultaneously. Computational results highlight the efficiency of the employed Iterated Local Search (ILS) algorithm compared to the Non-dominated Sorting Genetic Algorithm (NSGA-II).
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Industrial
Behdin Vahedi-Nouri, Reza Tavakkoli-Moghaddam, Zdenek Hanzalek, Alexandre Dolgui
Summary: This paper explores an integrated production scheduling and workforce planning problem in a Reconfigurable Manufacturing System (RMS) using reconfigurable machines and human-robot collaboration. A new Mixed-Integer Linear Programming (MILP) model and an efficient Constraint Programming (CP) model are developed to solve the problem. Computational experiments show the superiority of the CP model over the MILP model in smaller instances and its ability to find high-quality solutions for larger instances within a reasonable computation time. It provides recommendations for managers dealing with this complex problem.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Elmira Gheisariha, Farhad Etebari, Behnam Vahdani, Reza Tavakkoli-Moghaddam
Summary: This study proposes a milk collection network that considers different milk qualities and solves a scheduling and routing problem with multiple multi-compartment heterogeneous vehicles. The blending process in multi-compartment vehicles is also considered to increase total profit. A novel hybrid meta-heuristic algorithm is proposed to solve the model, and a new heuristic algorithm for the blending process is developed. A case study and extensive numerical experiments demonstrate the applicability and validity of the proposed model and solution approach. The results show that the blending process and multi-compartment vehicles have a significant impact on the system's profit.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Engineering, Industrial
Mohammad Rohaninejad, Behdin Vahedi-Nouri, Zdenek Hanzalek, Reza Tavakkoli-Moghaddam
Summary: In order to maintain and enhance competitiveness, achieving higher levels of flexibility in manufacturing systems has become necessary. This study investigates the integrated lot-sizing and scheduling problem under workforce constraints, using a new generation of production machine called Reconfigurable Machine Tool (RMT). A novel Mixed-Integer Linear Programming (MILP) model is formulated, and an efficient Decomposition Heuristic (DH) empowered by a tailored feasibility cut is devised to address the problem's high complexity.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Morteza Ghomi-Avili, Seyed Taghi Akhavan Niaki, Reza Tavakkoli-Moghaddam
Summary: The emergence of cryptocurrency and blockchain technology has revolutionized supply chains by providing novel solutions for transparency, originality, and traceability. This research aims to develop a blockchain-based system to ensure supply chain transparency and originality, using IoT and RFID technology for product labeling. Smart contracts and optimization algorithms address transparency and pricing concerns, resulting in optimal solutions for reverse flow pricing and CO2 emissions control.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Samrad Jafarian-Namin, Mohammad Saber Fallah Nezhad, Reza Tavakkoli-Moghaddam, Ali Salmasnia
Summary: Integrating EPQ, SPC, and maintenance terms can effectively address disruptions and faults in the production process. The ARMA chart and extended ACC have shown good results in integrated modeling. Uncertainty in estimating input factors can affect the accuracy of the models.
JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION
(2023)
Article
Management
Saeed Saemi, Alireza Rashidi Komijan, Reza Tavakkoli-Moghaddam
Summary: This study examines crew pairing and rostering under COVID-19 conditions, aiming to ensure the safety of cockpit crew members by reducing their daily sit time in airports and allowing them to return home at the end of the day. It proposes a Mixed-Integer Linear Programming (MILP) formulation and applies three meta-heuristic algorithms (GA, FA, PSO) based on a new chromosome representation to solve the problem. The algorithms can provide solutions with the least number of crew members and near-optimal solutions for small-scale instances, with the GA outperforming the FA and PSO in terms of cost and CPU time.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY
(2023)
Article
Computer Science, Cybernetics
Mahdi Bastan, Reza Tavakkoli-Moghaddam, Ali Bozorgi-Amiri
Summary: Commercial banks face various risks, and crises and disasters can worsen these risks and lead to severe damage and bankruptcy. This study aims to assess the effectiveness of business continuity management policies in achieving resilient banking through a simulation model.
Article
Engineering, Industrial
Shirin Ghasemi, Reza Tavakkoli-Moghaddam, Mahdi Hamid
Summary: This study investigates a multi-objective mixed-integer programming model for daily operating room scheduling. It considers factors such as setup time, surgical staff performance, and OR costs. By optimizing the compatibility and efficiency of the surgical team, as well as reducing OR costs, the overall performance of the hospital can be enhanced.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Environmental Sciences
Maedeh Fasihi, Reza Tavakkoli-Moghaddam, Mostafa Hajiaghaei-Keshteli, S. Esmaeil Najafi
Summary: This study investigates a sustainable closed-loop supply chain (CLSC) for fish, develops a multi-objective mathematical model for optimization, and uses a combination of algorithms to solve the model. A case study with a trout CLSC in Northern Iran is conducted, and sensitivity analyses confirm the efficacy of the proposed algorithms. The findings showcase the high consistency and efficiency of the proposed network and algorithms.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2023)
Article
Engineering, Multidisciplinary
G. R. Einy-Sarkalleh, R. Tavakkoli-Moghaddam, A. Hafezalkotob, S. E. Najafi
Summary: This paper investigates the implementation issues of lateral contracts in Supply Chain Management (SCM). The barriers are identified through literature review and expert interviews, and evaluated using the FMARCOS prioritization method. Sensitivity analysis and a case study validate the proposed model. The findings are consistent with the Iranian car industry.
INTERNATIONAL JOURNAL OF ENGINEERING
(2023)
