Article
Robotics
Zhiyang Jia, Zejun Ni, Chiye Ma
Summary: This letter studies the dynamic process modeling and real-time performance evaluation problems of the rework system. Practical issues, such as unreliable machines, finite buffers, and small-lot orders are taken into account. A novel dynamic decomposition and aggregation algorithm is proposed, which is validated to have a precise performance measures prediction effect and efficient computational performance.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2023)
Article
Computer Science, Interdisciplinary Applications
Rashi Jain, Mandeep Mittal, Sachin Kumar Mangla, Rajendra Baraiya
Summary: This paper presents a three-echelon supply chain inventory model that takes into account carbon emissions from manufacturing, transportation, storage, and disposal of deteriorating products. The proposed model aims to minimize expected total cost and decrease carbon emissions by applying various regulatory strategies, such as carbon tax, carbon offset, and carbon cap-and-trade. The study concludes that the carbon cap-and-trade strategy is the most effective of the three regulatory strategies analyzed.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Computer Science, Artificial Intelligence
Chi-Jie Lu, Ming Gu, Tian-Shyug Lee, Chih-Te Yang
Summary: An integrated multistage supply chain inventory model is proposed to consider deteriorating raw materials and finished products. The model takes into account imperfect production and inspection systems. The main objective is to determine the optimal strategies for the manufacturer and retailers to maximize the integrated total profit. The research findings provide insights on the impact of various factors on the supply chain performance.
Article
Green & Sustainable Science & Technology
Eduardo Alarcon-Gerbier, Zarina Chokparova, Nassim Ghondaghsaz, Wanqi Zhao, Hani Shahmoradi-Moghadam, Uwe Assmann, Orcun Oruc
Summary: The miniaturization and modularization of production capacity bring greater agility and efficiency, as well as increased flexibility in mobility. However, achieving this flexibility requires information and control systems to ensure the correct and secure flow of information between supply chain stakeholders. This article characterizes the concept of software-defined mobile supply chains, presenting its requirements, opportunities, and limitations. Two case studies demonstrate the applicability of the proposed concept, with a focus on planning and control of operations and challenges in exchanging assets between stakeholders.
Article
Engineering, Industrial
Zhaoxiang Chen, Zhen Chen, Di Zhou, Tangbin Xia, Ershun Pan
Summary: This paper proposes a novel opportunistic maintenance optimization model for continuous process manufacturing systems (CPMS) by introducing the concept of opportunity time window (OTW) to constrain maintenance opportunities within production constraints. By considering different types of maintenance actions and stochastic epistemic uncertainty, a simulated annealing-based adaptive immune algorithm (SAAIA) is developed to optimize the system's production efficiency and performance.
JOURNAL OF MANUFACTURING SYSTEMS
(2023)
Article
Engineering, Manufacturing
Weiwei Cui, Yiran Yang, Lei Di, Fadwa Dababneh
Summary: Additive manufacturing has been widely adopted in various application domains due to its advantages in manufacturing complexity and customization. The study establishes theoretical models to quantify supply chain costs and explores the cost-saving potentials of additive manufacturing through case studies in the insole manufacturing industry. The research provides insights on adopting additive manufacturing in production and supply chain operations.
ADDITIVE MANUFACTURING
(2021)
Article
Computer Science, Interdisciplinary Applications
Nan Zhang, Sen Tian, Jiatao Xu, Yingjun Deng, Kaiquan Cai
Summary: This paper proposes an integrated Economic manufacturing quantity (EMQ) model that combines the concepts of condition-based maintenance (CBM) and imperfect manufacturing process. The manufacturing process is modeled by binary state indicators and a homogeneous Gamma process. An integrated production and CBM policy is proposed to minimize the expected cost rate in the long-term. The problem is solved using a semi-Markov decision process framework and the successive-approximations method.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Engineering, Multidisciplinary
S. Adak, G. S. Mahapatra
Summary: This paper develops a three-layer supply chain model for defective and non-defective products, considering various business strategies. The study discusses the impact of factors such as selling price, demand rate, purchase cost, and holding cost on the average profit of the integrated model, which can significantly contribute to business profitability.
Article
Engineering, Manufacturing
Chen-Fu Chien, Hans Ehm, John W. Fowler, Karl G. Kempf, Lars Monch, Cheng-Hung Wu
Summary: This panel paper discusses the application of Artificial Intelligence (AI) technologies in addressing production and supply chain issues in semiconductor manufacturing. By gathering a group of expert researchers and practitioners in the semiconductor field who have developed AI solutions, the paper provides answers to a set of initial questions and offers an overview of AI advancements and empirical studies for future directions.
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING
(2023)
Article
Computer Science, Information Systems
Mitali Sarkar, Byung Do Chung
Summary: This study introduces a supply chain management model with flexible production rate and price discount offer to reduce costs. The model considers multiple key factors and utilizes different algorithms for numerical solutions, with experimental results demonstrating the effectiveness of the model.
Article
Engineering, Industrial
Milad Elyasi, Basak Altan, Ali Ekici, Okan Orsan Ozener, Ihsan Yanikoglu, Alexandre Dolgui
Summary: This paper examines the impact of the global crisis on supply chain resilience and suggests the implementation of flexible/hybrid manufacturing systems as a viable strategy. Using Vestel Electronics as a case study, the research proposes a flexible/hybrid manufacturing production setup to address uncertain demand. By employing a scenario-based approach and a heuristic algorithm based on column generation, the optimization model demonstrates effective and cost-efficient solutions.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Business
Sudip Adak, G. S. Mahapatra
Summary: This study developed an integrated fuzzy two-layer supply chain model for manufacturers and retailers, taking into account defective and non-defective products. The model considers probabilistic deterioration for both manufacturers and retailers, and evaluates the optimal production and sales strategies in a fuzzy environment.
JOURNAL OF MANAGEMENT ANALYTICS
(2022)
Article
Computer Science, Artificial Intelligence
Sudip Adak, G. S. Mahapatra
Summary: This paper develops a fuzzy two-layer supply chain model for manufacturer and retailer, considering defective and non-defective products. The optimum average profit and managerial insights are evaluated, discussing the impact of changes in parameter values on optimal inventory policy.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
(2021)
Article
Engineering, Industrial
Abdessamad Ait El Cadi, Ali Gharbi, Karem Dhouib, Abdelhakim Artiba
Summary: The study presents an efficient stochastic analytical model for integrated production and preventive maintenance control in manufacturing systems. It aims to jointly optimize production and maintenance control settings by minimizing total incurred cost, evaluating model quality, and deriving relevant insights and issues.
JOURNAL OF MANUFACTURING SYSTEMS
(2021)
Article
Engineering, Industrial
Liangxing Shi, Xiaolei Lv, Yingdong He, Zhen He
Summary: To optimize production planning, maintenance strategies, and quality control in imperfect manufacturing systems, this study develops a new model considering timely replenishment. It seeks to minimize the expectation unit cost of the system by determining the production cycle, maintenance frequency, quality inspection cycle, and number of inspections. The model incorporates excess inventory holding and shortage costs, considers the dynamic and random behavior of production systems, and integrates an x-bar control chart to monitor quality.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Seyed Mohammad Hassan Hosseini, Shib Sankar Sana, Mohammad Rostami
Summary: This paper investigates a two-stage production system consisting of a fabrication stage followed by an assembly stage, considering machine eligibility, sequence-dependent setup times, and different release times for parts. Additionally, a new mixed-integer linear programming model is proposed to solve the problem.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2022)
Article
Engineering, Multidisciplinary
Ebrahim Forghani, Reza Sheikh, Seyed Mohammad Hassan Hosseini, Shib Sankar Sana
Summary: The research investigates the impact of digital marketing strategies on customer buying behavior in online shopping stores in Tehran, using a 2-tuple fuzzy linguistic representation model and rough set theory for data analysis. Key results indicate that search engine optimization is the most important strategy, followed by social media marketing and recommender engine.
INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT
(2022)
Article
Mathematics, Applied
Shib Sankar Sana
Summary: This paper investigates a production-inventory model that takes into account the transition of manufacturing system from in-control state to out-of-control state, the production of imperfect quality products in different states, and the after-sale warranty for any faults. By optimizing the buffer inventory, the expected costs per unit item can be minimized.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2022)
Article
Operations Research & Management Science
Ebrahim Forghani, Reza Sheikh, Shib Sankar Sana
Summary: This study aims to explore how marketing mix elements influence customers' purchasing behavior at chain stores in Tehran and identifies five key factors influencing buying behavior through data analysis and rule extraction. The study uses the 2-tuple fuzzy approach for information collection and applies the Rough Set Theory and decision tree algorithm for data analysis.
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT
(2023)
Article
Operations Research & Management Science
Anis Saadi, Parviz Fattahi, Donya Rahmanii, Seyed Mohammad Hassan Hosseini, Shib Sankar Sana
Summary: The study introduces an exact method based on the Benders decomposition approach to solve the mixed-model assembly line sequencing problem, with the capability of obtaining solutions on small-scale instances. Results demonstrate the success of the proposed method in solving problems of different dimensions, along with the reduction of computational time through the accelerator.
INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND ENGINEERING MANAGEMENT
(2022)
Article
Management
Brojeswar Pal, Shib Sankar Sana
Summary: This article evaluates a closed-loop dual-channel supply chain where a retailer collects consumers' obsolete products for manufacturer's production of environmentally friendly products. Manufacturers can adjust green innovation level, and the impact of selling prices and green innovation on demand patterns is analyzed.
OPERATIONS MANAGEMENT RESEARCH
(2022)
Article
Green & Sustainable Science & Technology
Ghazal Rezaei, Seyed Mohammad Hassan Hosseini, Shib Sankar Sana
Summary: This study examines the impact of data analytics capability on competitive advantage in the textile industry, with a focus on the mediating roles of supply chain resilience and organizational flexibility.
Article
Engineering, Industrial
Monami Das Roy, Shib Sankar Sana
Summary: This paper focuses on an integrated multi-stage green supply model that takes into account the impacts of remanufacturing and manufacturing. The study finds that additional investment in reducing ordering costs helps buyers save more money and reduce the overall costs of the supply chain system.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Operations Research & Management Science
Seyed Mohammad Hassan Hosseini, Forough Behroozi, Shib Sankar Sana
Summary: This paper addresses the problem of network design in blood supply chains, considering the optimization of costs related to blood shortage and substitution. A mixed-integer linear programming model is proposed, and the intelligent NSGA-II algorithm is applied to solve the problem. The results show the superiority of the proposed model over previous studies and provide decision makers with multiple suitable solutions.
RAIRO-OPERATIONS RESEARCH
(2023)
Review
Operations Research & Management Science
Nikunja Mohan Modak, Sudipta Sinha, Shib Sankar Sana
Summary: The COVID-19 pandemic has brought significant changes in various sectors worldwide, and different countries have made important contributions to COVID-19 research. The USA is the leading country, and China ranks first in terms of H-index. The highest number of papers has been published in the field of medicine.
RAIRO-OPERATIONS RESEARCH
(2022)
Article
Engineering, Industrial
Sahra Sheydaei Aghdam, Parviz Fattahi, Seyed Mohammad Hassan Hosseini, Samaneh Babaeimorad, Shib Sankar Sana
Summary: This study proposes a joint optimization procedure for maintenance and inventory policies in a single-machine production system considering back orders. A mathematical model is formulated to describe the problem and a numerical iterative procedure is introduced to solve it. The proposed method is evaluated using a numerical instance based on a real case study and sensitivity analyses are performed.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE-OPERATIONS & LOGISTICS
(2023)
Article
Computer Science, Artificial Intelligence
Mary Jimenez Tovar, Jaime Acevedo-Chedid, Holman Ospina-Mateus, Katherinne Salas-Navarro, Shib Sankar Sana
Summary: Production scheduling is crucial in enhancing productivity in manufacturing engineering and combinatorial optimization research. This paper proposes a hybrid metaheuristic approach, combining the TLBO algorithm with a Genetic Algorithm, to solve the P-MOFfJSP. The proposed algorithm, TLBO-A, demonstrates robustness and improvement in solving the fuzzy makespan problem.
Article
Management
Jaime Acevedo-Chedid, Melissa Caro Soto, Holman Ospina-Mateus, Katherinne Salas-Navarro, Shib Sankar Sana
Summary: This research presents a transport model incorporating a cross-dock system to efficiently deliver perishable goods from production plants to markets. The model considers various parameters such as speed, waiting times, loading and unloading times, and costs associated with the entire operation to minimize logistics costs and environmental impacts. The findings demonstrate that the cross-dock structure is highly conducive to distributing perishable goods by minimizing collection and distribution operations, adhering to designated time windows, and efficiently allocating resources.
OPERATIONS MANAGEMENT RESEARCH
(2023)
Article
Operations Research & Management Science
Shib Sankar Sana
Summary: This article discusses an imperfect production system, taking into account the costs for greenhouse gas emissions to determine the optimal reserve selling price, sales teams' efforts, and production lotsize. The manufacturer used green practices in supply chain management to meet government guidelines and satisfy customers' needs for fair prices and product quality. A mathematical model is formulated and analyzed, considering various cost factors and interval values of key parameters. Numerical illustrations are provided to justify the proposed model.
RAIRO-OPERATIONS RESEARCH
(2023)
Article
Business
Fatemeh Akhyani, Alireza Komeili Birjandi, Reza Sheikh, Shib Sankar Sana
Summary: Customer recognition provides an opportunity for customers to think about services, and classifying customers based on satisfaction helps insurance companies manage capital more effectively. This article presents a new method for customer classification based on satisfaction, overcoming inefficiencies and providing more accurate results. The method uses service quality criteria to consider customer perceptions and expectations.
ELECTRONIC COMMERCE RESEARCH
(2022)
Article
Mathematics, Applied
Peter Frolkovic, Nikola Gajdosova
Summary: This paper presents compact semi-implicit finite difference schemes for solving advection problems using level set methods. Through numerical tests and stability analysis, the accuracy and stability of the proposed schemes are verified.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Md. Rajib Arefin, Jun Tanimoto
Summary: Human behaviors are strongly influenced by social norms, and this study shows that injunctive social norms can lead to bi-stability in evolutionary games. Different games exhibit different outcomes, with some showing the possibility of coexistence or a stable equilibrium.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Dingyi Du, Chunhong Fu, Qingxiang Xu
Summary: A correction and improvement are made on a recent joint work by the second and third authors. An optimal perturbation bound is also clarified for certain 2 x 2 Hermitian matrices.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Pingrui Zhang, Xiaoyun Jiang, Junqing Jia
Summary: In this study, improved uniform error bounds are developed for the long-time dynamics of the nonlinear space fractional Dirac equation in two dimensions. The equation is discretized in time using the Strang splitting method and in space using the Fourier pseudospectral method. The major local truncation error of the numerical methods is established, and improved uniform error estimates are rigorously demonstrated for the semi-discrete scheme and full-discretization. Numerical investigations are presented to verify the error bounds and illustrate the long-time dynamical behaviors of the equation with honeycomb lattice potentials.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Kuan Zou, Wenchen Han, Lan Zhang, Changwei Huang
Summary: This research extends the spatial PGG on hypergraphs and allows cooperators to allocate investments unevenly. The results show that allocating more resources to profitable groups can effectively promote cooperation. Additionally, a moderate negative value of investment preference leads to the lowest level of cooperation.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Kui Du
Summary: This article introduces two new regularized randomized iterative algorithms for finding solutions with certain structures of a linear system ABx = b. Compared to other randomized iterative algorithms, these new algorithms can find sparse solutions and have better performance.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Shadi Malek Bagomghaleh, Saeed Pishbin, Gholamhossein Gholami
Summary: This study combines the concept of vanishing delay arguments with a linear system of integral-algebraic equations (IAEs) for the first time. The piecewise collocation scheme is used to numerically solve the Hessenberg type IAEs system with vanishing delays. Well-established results regarding regularity, existence, uniqueness, and convergence of the solution are presented. Two test problems are studied to verify the theoretical achievements in practice.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Qi Hu, Tao Jin, Yulian Jiang, Xingwen Liu
Summary: Public supervision plays an important role in guiding and influencing individual behavior. This study proposes a reputation incentives mechanism with public supervision, where each player has the authority to evaluate others. Numerical simulations show that reputation provides positive incentives for cooperation.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Werner M. Seiler, Matthias Seiss
Summary: This article proposes a geometric approach for the numerical integration of (systems of) quasi-linear differential equations with singular initial and boundary value problems. It transforms the original problem into computing the unstable manifold at a stationary point of an associated vector field, allowing efficient and robust solutions. Additionally, the shooting method is employed for boundary value problems. Examples of (generalized) Lane-Emden equations and the Thomas-Fermi equation are discussed.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Lisandro A. Raviola, Mariano F. De Leo
Summary: We evaluated the performance of novel numerical methods for solving one-dimensional nonlinear fractional dispersive and dissipative evolution equations and showed that the proposed methods are effective in terms of accuracy and computational cost. They can be applied to both irreversible models and dissipative solitons, offering a promising alternative for solving a wide range of evolutionary partial differential equations.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Yong Wang, Jie Zhong, Qinyao Pan, Ning Li
Summary: This paper studies the set stability of Boolean networks using the semi-tensor product of matrices. It introduces an index-vector and an algorithm to verify and achieve set stability, and proposes a hybrid pinning control technique to reduce computational complexity. The issue of synchronization is also discussed, and simulations are presented to demonstrate the effectiveness of the results obtained.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Ling Cheng, Sirui Zhang, Yingchun Wang
Summary: This paper considers the optimal capacity allocation problem of integrated energy systems (IESs) with power-gas systems for clean energy consumption. It establishes power-gas network models with equality and inequality constraints, and designs a novel full distributed cooperative optimal regulation scheme to tackle this problem. A distributed projection operator is developed to handle the inequality constraints in IESs. The simulation demonstrates the effectiveness of the distributed optimization approach.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Abdurrahim Toktas, Ugur Erkan, Suo Gao, Chanil Pak
Summary: This study proposes a novel image encryption scheme based on the Bessel map, which ensures the security and randomness of the ciphered images through the chaotic characteristics and complexity of the Bessel map.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Xinjie Fu, Jinrong Wang
Summary: In this paper, we establish an SAIQR epidemic network model and explore the global stability of the disease in both disease-free and endemic equilibria. We also consider the control of epidemic transmission through non-instantaneous impulsive vaccination and demonstrate the sustainability of the model. Finally, we validate the results through numerical simulations using a scale-free network.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
Article
Mathematics, Applied
Maria Han Veiga, Lorenzo Micalizzi, Davide Torlo
Summary: The paper focuses on the iterative discretization of weak formulations in the context of ODE problems. Several strategies to improve the accuracy of the method are proposed, and the method is combined with a Deferred Correction framework to introduce efficient p-adaptive modifications. Analytical and numerical results demonstrate the stability and computational efficiency of the modified methods.
APPLIED MATHEMATICS AND COMPUTATION
(2024)
