Article
Mathematical & Computational Biology
Bowen Ding, Zhaobin Ma, Shuoyan Ren, Yi Gu, Pengjiang Qian, Xin Zhang
Summary: This paper proposes a general closed-loop supply chain model and uses a genetic algorithm with two-step rank-based encoding (GA-TRE) to maximize the profits of enterprises. The experimental results show that GA-TRE outperforms other algorithms, especially for large-scale problems.
MATHEMATICAL BIOSCIENCES AND ENGINEERING
(2022)
Article
Quantum Science & Technology
Georgi Bebrov
Summary: This study introduces a new encoding-decoding procedure which shows higher efficiency, slightly better security, similar randomness, compatibility with high dimensionality, but less error robustness compared to the standard scheme.
QUANTUM INFORMATION PROCESSING
(2021)
Review
Automation & Control Systems
Laith Abualigah, Essam Said Hanandeh, Raed Abu Zitar, Cuong-Le Thanh, Samir Khatir, Amir H. Gandomi
Summary: This paper reviews the application of metaheuristics in optimizing sustainable supply chain management. It explores the potential of metaheuristics to improve the sustainability, efficiency, and competitiveness of the supply chain. The paper provides an overview of sustainable supply chain management principles and challenges, introduces the concept of metaheuristics, reviews various algorithms applied in this field, analyzes their effectiveness, and identifies key success factors. It also provides recommendations for future research and highlights the potential of metaheuristics in promoting sustainable supply chain management.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Computer Science, Artificial Intelligence
Mehran Gharye Mirzaei, Fariba Goodarzian, Kourosh Mokhtari, Morteza Yazdani, Alireza Shokri
Summary: With the development of the Internet, e-commerce, and digital advertising, traditional and digital advertising have gained attention in various sectors, including agriculture. In the tea industry, advertising plays a crucial role in attracting customers and improving the efficiency of the supply chain. This study aims to design a sustainable closed-loop supply chain network for the tea industry and proposes an optimization model for cost, emissions, and job vacancies. Different algorithms are used to solve the model, and sensitivity analysis is conducted. The results confirm the validity of the model and provide insights for managers and tea-producing countries.
EXPERT SYSTEMS WITH APPLICATIONS
(2023)
Article
Engineering, Electrical & Electronic
Luciano Miuccio, Daniela Panno, Salvatore Riolo
Summary: 5G networks may not be fully capable of meeting the requirements of high data rates, system capacity, and spectral efficiency in the upcoming 6G networks. One potential solution is the adoption of Sparse Code Multiple Access (SCMA), a code-domain Non-Orthogonal Multiple Access (NOMA) technique. However, implementing SCMA in practical networks faces challenges in designing an optimal codebook set and an efficient decoding algorithm. This paper presents an end-to-end SCMA en/decoding structure that combines a state-of-the-art AutoEncoder (AE) architecture and a novel Wasserstein Generative Adversarial Network (WGAN) to address these challenges.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Business
Katrina Lintukangas, Heli Arminen, Anni-Kaisa Kahkonen, Elina Karttunen
Summary: To combat climate change, companies need to implement effective and feasible carbon management practices that encourage collaboration within supply chains. Engaging with suppliers and customers on carbon management reduces vulnerability to climate-related risks and enhances resilience and adaptability in supply chains.
JOURNAL OF BUSINESS ETHICS
(2023)
Article
Engineering, Electrical & Electronic
Yanbo Liu, Guo Cao, Hao Shi, Yingxiang Hu
Summary: Crowd counting is an important task in intelligent applications, but traditional methods often require large resources and have limited practical applications. In this paper, we propose a lightweight encoding-decoding crowd counting network named Lw-Count, which achieves an optimal trade-off between counting performance and running speed through optimizing the network structure and designing a new loss function.
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
(2022)
Article
Hospitality, Leisure, Sport & Tourism
Zahed Ghaderi, Hanieh Shakori, Fatemeh Bagheri, Colin Michael Hall, Raouf Ahmad Rather, Zahra Moaven
Summary: This study examines the impact of internal and external measures of green supply chain management on environmental cost reduction in hotels, as well as the mediating role of agility and resilience of a green supply chain in improving supply chain performance. The results demonstrate that both internal and external measures of green supply chain management have a positive and significant effect on reducing environmental costs in hotels. The reduction in environmental costs directly contributes to the agility, resilience, and overall performance of the green supply chain. The findings highlight the importance of addressing environmental measures in the hotel industry to enhance supply chain performance.
CURRENT ISSUES IN TOURISM
(2023)
Article
Chemistry, Analytical
Mehran Gharye Mirzaei, Fariba Goodarzian, Saeid Maddah, Ajith Abraham, Lubna Abdelkareim Gabralla
Summary: This paper proposes a dual-channel network of a sustainable Closed-Loop Supply Chain (CLSC) for rice considering energy sources and consumption tax. A Mixed Integer Linear Programming (MILP) model is formulated for optimizing the total cost, the amount of pollutants, and the number of job opportunities created in the proposed supply chain network under the uncertainty of cost, supply, and demand. The results indicate that utilizing the Multi-Objective Reptile Search Optimizer (MORSO) algorithm can achieve significant electricity savings through the construction of solar panel sites and energy production from rice waste.
Article
Multidisciplinary Sciences
Sean J. Weinberg, Fabio Sanches, Takanori Ide, Kazumitzu Kamiya, Randall Correll
Summary: Noisy intermediate-scale quantum (NISQ) hardware is insufficient for solving full-scale optimization problems in practical applications, so we propose a hybrid workflow approach for solving a large-scale vehicle routing problem in supply chain logistics. By generating new instances of binary optimization problems iteratively, each with around 2500 quadratic binary variables, we can effectively apply NISQ quantum computing, especially quantum annealing hardware. Our methods, tested using simulated annealing and D-Wave Hybrid solver, demonstrate excellent performance when evaluated with a realistic classical supply chain simulation, opening up possibilities for applying NISQ devices to large-scale commercial problems in a hybrid manner.
SCIENTIFIC REPORTS
(2023)
Article
Chemistry, Multidisciplinary
Grzegorz Kusztelak, Adam Lipowski, Jacek Kucharski
Summary: This paper presents a modified memetic genetic algorithm that introduces a cyclic symmetrization operator to improve exploitation by creating a more spherical distribution around the current leader. The algorithm is described, demonstrated, and theoretically analyzed. Its effectiveness is examined using a recognized benchmark of continuous functions test set on a multidimensional cube.
APPLIED SCIENCES-BASEL
(2022)
Review
Neurosciences
Lichao Xu, Minpeng Xu, Tzzy-Ping Jung, Dong Ming
Summary: This paper summarizes the progress in EEG-based BCIs from the perspective of encoding paradigms and decoding algorithms, which are grouped into sensory and motor-related, vision-related, cognition-related, and hybrid paradigms for encoding, and into decomposition algorithms, Riemannian geometry, deep learning, and transfer learning for decoding. This review provides a comprehensive overview of modern primary paradigms and algorithms in the BCI field, beneficial for developers of BCI systems.
COGNITIVE NEURODYNAMICS
(2021)
Review
Green & Sustainable Science & Technology
Katherinne Salas-Navarro, Paula Serrano-Pajaro, Holman Ospina-Mateus, Ronald Zamora-Musa
Summary: This paper presents a bibliometric analysis of inventory models in a sustainable supply chain. The main findings include the increase in the number of countries researching this topic and the number of publications, as well as the promotion of proper resource utilization in sustainable supply chains.
Article
Computer Science, Artificial Intelligence
Giovanni Acampora, Angela Chiatto, Autilia Vitiello
Summary: This paper discusses the application of quantum computing in optimization problems and proposes the use of genetic algorithms as gradient-free methods to optimize the parameters of Quantum Approximate Optimization Algorithm (QAOA) circuit. Experimental results on noisy quantum devices solving MaxCut problem show that the genetic algorithm outperforms other gradient-free optimizers in terms of approximation ratio.
APPLIED SOFT COMPUTING
(2023)
Review
Operations Research & Management Science
Prima Denny Sentia, Syaimak Abdul Shukor, Amelia Natasya Abdul Wahab, Muriati Mukhtar
Summary: The logistics distribution problems in responding to disasters have led to numerous studies on humanitarian logistics and supply chain management. However, there is a lack of thematic literature reviews on humanitarian logistics and supply chain management in natural disaster management. This article proposes a sequential thematic literature review method to identify gaps and future research directions in this field. The study identifies distribution delay, demand uncertainty, and high operation costs as primary logistics distribution problems for disaster management. Five specific themes of humanitarian logistics and supply chain management are identified, and future research directions are discussed.
ANNALS OF OPERATIONS RESEARCH
(2023)
Article
Engineering, Industrial
Antonio Costa, Salvatore Cannella, Roberto R. Corsini, Jose M. Framinan, Sergio Fichera
Summary: In this paper, a two-echelon, two-product Supply Chain is investigated, considering the impact of product change-over time and machine breakdowns on production capacity. Experimental analysis reveals the variations in fill rate and inventory standard deviation. The study highlights the interaction between production planning model and replenishment strategy, which significantly affects the performance of the Supply Chain.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Multidisciplinary
Arne Johannssen, Nataliya Chukhrova, Giovanni Celano, Philippe Castagliola
Summary: This paper presents a NBE control chart for monitoring the fraction nonconforming in finite horizon production processes. The chart is based on the negative hypergeometric distribution and is efficient for monitoring FHP processes with low fractions nonconforming. It can be conveniently used for both low-volume and mass production processes with frequent changeovers.
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL
(2022)
Article
Engineering, Industrial
Roberto Rosario Corsini, Antonio Costa, Salvatore Cannella, Jose M. Framinan
Summary: This study investigates the impact of different production control policies on Fill Rate in a two-product, two-echelon supply chain dynamic problem with production capacity. The results reveal that the Hedging Corridor Policy is the best strategy to increase the Fill Rate.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Hamed Sabahno, Giovanni Celano
Summary: This paper focuses on the monitoring of multivariate coefficient of variation (MCV) and develops multivariate Shewhart-type control charts capable of accounting for autocorrelation. The effect of autocorrelation on adaptive and non-adaptive charts is evaluated through a Markov chain model and extensive numerical analyses.
QUALITY TECHNOLOGY AND QUANTITATIVE MANAGEMENT
(2023)
Article
Computer Science, Artificial Intelligence
Carla Talens, Victor Fernandez-Viagas, Paz Perez-Gonzalez, Antonio Costa
Summary: This paper addresses the 2-stage assembly scheduling problem aiming to minimize makespan with availability constraints. Novel constructive and composite heuristics are proposed, which outperform existing methods in computational evaluations.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Engineering, Industrial
Theodoros Perdikis, Giovanni Celano, Stelios Psarakis, Philippe Castagliola
Summary: This research investigates the performance of the exponentially weighted moving average chart based on the Wilcoxon signed rank statistic for online monitoring of finite production runs. Numerical analysis is conducted to determine its optimal design and compare its performance with other available schemes.
QUALITY ENGINEERING
(2023)
Article
Operations Research & Management Science
R. R. Corsini, A. Costa, S. Fichera, A. Pluchino, V Parrinello
Summary: This paper addresses the design problem of outpatient chemotherapy oncology departments. The study found that resource configuration has a significant impact on the performance of the departments, and there is a trade-off between the two objectives.
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT
(2022)
Article
Automation & Control Systems
Lorena Saitta, Francesco Arcadio, Giovanni Celano, Nunzio Cennamo, Luigi Zeni, Claudio Tosto, Gianluca Cicala
Summary: A surface plasmon resonance (SPR) multiparameter sensor for simultaneous determination of refractive index and temperature was manufactured using a novel and low-cost approach. The sensor achieved a temperature resolution of about 0.5 degrees C and a refractive index resolution of about 2 x 10(-4) RIU. The 3D printed surface of the sensor was analyzed for quality control, and the sensor's performance in terms of bulk sensitivity was higher than similar devices in the state-of-the-art.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Industrial
Huu Du Nguyen, Adel Ahmadi Nadi, Kim Duc Tran, Philippe Castagliola, Giovanni Celano, Kim Phuc Tran
Summary: This study investigates the performance of the Phase II Shewhart-type RZ control chart for monitoring the ratio of two normal variables with a bivariate time series autoregressive model VAR(1). The research considers the impact of autocorrelation and cross-correlation between quality characteristics on the design and statistical performance of the control chart. An example in a furnace process illustrates the application of the Shewhart-type RZ control chart with bivariate time series observations.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Computer Science, Artificial Intelligence
Roberto Rosario Corsini, Antonio Costa, Sergio Fichera, Vincenzo Parrinello
Summary: This research addresses the same-day chemotherapy outpatient scheduling problem by developing a stochastic approach and a hybrid harmony search metaheuristic algorithm. The proposed model and algorithm showed effectiveness in reducing patient waiting time.
Article
Polymer Science
Lorena Saitta, Emanuela Cutuli, Giovanni Celano, Claudio Tosto, Giovanna Stella, Gianluca Cicala, Maide Bucolo
Summary: In this study, a quadratic polynomial regression model was developed to determine the refractive index value of transparent 3D printable photocurable resins used for micro-optofluidic applications. An experimental setup was proposed for collecting transmission measurements of 3D printed samples. The model was further used to determine the refractive index value of novel photocurable resins for manufacturing micro-optofluidic devices.
Article
Operations Research & Management Science
R. R. Corsini, A. Costa, J. M. Framinan
Summary: This paper investigates the effectiveness of a new adaptive production control policy for a two-product, two-echelon supply chain with non-stationary customer demand. The proposed strategy, named Adaptive Hedging Corridor Policy, aims to maximize the fill rate by considering capacity constraints and disruptive events. A simulation model and experimental campaign are conducted to compare the proposed strategy with two alternatives. The results demonstrate the effectiveness of the new adaptive strategy in maximizing fill rate under non-stationary demand.
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT
(2023)
Article
Polymer Science
Lorena Saitta, Emanuela Cutuli, Giovanni Celano, Claudio Tosto, Dario Sanalitro, Francesca Guarino, Gianluca Cicala, Maide Bucolo
Summary: This work presents a 3D printed biocompatible micro-optofluidic device for monitoring two-phase flow. It successfully controls and monitors both air-water bi-phase flow and a two-phase mixture of micrometric cells suspended in a liquid solution. The study demonstrates the suitability of a selected biocompatible transparent resin for optical detection and shows that different concentrations of biological fluids can be discriminated using the optimized operating conditions.
Article
Computer Science, Interdisciplinary Applications
Xiaolin Wang, Liyi Zhan, Yong Zhang, Teng Fei, Ming-Lang Tseng
Summary: This study proposes an environmental cold chain logistics distribution center location model to reduce transportation costs and carbon emissions. It also introduces a hybrid arithmetic whale optimization algorithm to overcome the limitations of the conventional algorithm.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Hong-yu Liu, Shou-feng Ji, Yuan-yuan Ji
Summary: This study proposes an architecture that utilizes Ethereum to investigate the production-inventory-delivery problem in Physical Internet (PI), and develops an iterative heuristic algorithm that outperforms other algorithms. However, due to gas prices and consumption, blockchain technology may not always be the optimal solution.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
Article
Computer Science, Interdisciplinary Applications
Paraskevi Th. Zacharia, Elias K. Xidias, Andreas C. Nearchou
Summary: This article discusses the assembly line balancing problem in production lines with collaborative robots. Collaborative robots have the potential to improve automation, productivity, accuracy, and flexibility in manufacturing. The article explores the use of a problem-specific metaheuristic to solve this complex problem under uncertainty.
COMPUTERS & INDUSTRIAL ENGINEERING
(2024)
