Article
Computer Science, Interdisciplinary Applications
Simon B. Lindahl, Deenesh K. Babi, Krist V. Gernaey, Guerkan Sin
Summary: This paper proposes a methodology for setting up and solving integrated capacity and production planning problems. It utilizes mixed-integer linear programming problems to determine whether capacity levels should be changed. The methodology is applied to case studies from pharmaceutical manufacturing and demonstrates its ability to solve problems of industrial scale and relevance.
COMPUTERS & CHEMICAL ENGINEERING
(2023)
Article
Engineering, Industrial
Norbert Toth, Gyula Kulcsar
Summary: The paper presents an optimization model for solving an integrated problem of production planning and manufacturing control in cyber-physical manufacturing systems. The detailed optimization model, developed approach, and algorithms are described, demonstrating the effectiveness of the proposed algorithms.
INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING COMPUTATIONS
(2021)
Article
Engineering, Industrial
Bingjie Ding, Xavier Ferras Hernandez, Nuria Agell Jane
Summary: This study is the first systematic literature review that links Industry 4.0 with lean and agile manufacturing. The study proposes a conceptual framework that shows how Industry 4.0 supports both manufacturing systems and how they facilitate the implementation of Industry 4.0. The integration of Industry 4.0 with lean manufacturing enhances cost competitiveness, while with agile manufacturing, it enhances flexibility.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Automation & Control Systems
Rawia Kaddachi, Ali Gharbi, Jean-Pierre Kenne
Summary: This paper investigates the problem of integrated production and maintenance control in unreliable manufacturing systems. By considering machine degradation and perishable products, a joint control policy is proposed to minimize the total cost. The results show that the correlation between machine degradation and shelf-life reduction is significant and preventive maintenance interventions can increase the shelf-life of products and minimize the total cost.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2022)
Article
Business
Wenliang Chen, Zheng Wang
Summary: The paper discusses the importance of capacity planning and production control in assembly manufacturing systems, proposing a mathematical formulation and method for integrated optimization. Experimental results validate the correctness and effectiveness of the proposed approach.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2021)
Article
Automation & Control Systems
Zlatan Ajanovic, Enrico Regolin, Barys Shyrokau, Hana Catic, Martin Horn, Antonella Ferrara
Summary: To achieve optimal robot behavior in dynamic scenarios, a search-based method is proposed to effectively solve the complex dynamics problem in a highly dimensional state space. The method successfully explores the space of possible trajectories by sampling different combinations of motion primitives guided by the search and allows the use of multiple locally approximated models to simplify the problem without losing accuracy. The algorithm performance is evaluated in simulated driving on a mixed-track with segments of different curvatures (right and left).
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Engineering, Industrial
Akrem Dhahri, Ali Gharbi, Mustapha Ouhimmou
Summary: This study investigates a manufacturing system that allows transshipment between two failure-prone production facilities with different capacities. An integrated production-transshipment control policy is proposed to minimize the total cost. The parameters of the policy are optimized using a simulation-based approach. Sensitivity analysis is conducted to verify the robustness of the results. The comparative study shows that the proposed policy outperforms others in terms of cost.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Chemistry, Multidisciplinary
Adriana Florescu, Sorin Barabas
Summary: This research proposes a framework model for the development and integration of Lean tools and Industry 4.0 technologies in industrial applications. Through a systematic review and analysis of key production strategies, the study reveals the correlation between Lean management system and Industry 4.0 technologies, and demonstrates their interdependence through practical application.
APPLIED SCIENCES-BASEL
(2022)
Article
Engineering, Industrial
Hubert Missbauer, Reha Uzsoy
Summary: Production planning and control systems are crucial for the competitiveness of manufacturing firms and their ability to leverage technological advancements. The research on order release function within PPC systems reveals a need for optimization models and further understanding of the dynamic response of production units. There are still unresolved research questions in this area that warrant further exploration.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2022)
Article
Engineering, Industrial
Quentin Christ, Stephane Dauzere-Peres, Guillaume Lepelletier
Summary: This paper addresses a practical operational production planning problem in complex manufacturing systems and introduces a three-step approach to solve the problem. The approach is further optimized by introducing new smoothing rules and their performance is studied. The paper also presents how the decision support tool is embedded in the production planning process to bridge the gap between the upper and lower planning levels.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Business
Masoud Rahiminezhad Galankashi, Najmeh Madadi, Syed Ahmad Helmi, Abd Rahman Abdul Rahim, Farimah Mokhatab Rafiei
Summary: This article proposes a multiobjective mathematical model to optimize the multiperiod aggregate production planning of multiproduct companies. By integrating lean manufacturing with the production planning, the model aims to optimize cost, lead time, waste minimization, and product quality. The sensitivity analysis shows that lean weighting of the objective functions provides better results compared to equal weighting.
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Veronica Lindstrom, Fredrik Persson, Arun Pravin Chennai Viswanathan, Mahendran Rajendran
Summary: This paper explores the relationship between the four elements of smart production planning and control (PPC) and data quality issues, and provides a framework to address these problems. The empirical data results show that inaccurate data entries are the most common data quality problem in PPC, with causes linked to human resources and organizational control. Maintaining a high level of data quality is crucial for achieving high-performance production planning and control.
COMPUTERS IN INDUSTRY
(2023)
Article
Green & Sustainable Science & Technology
Saba Sadiq, Muhammad Saad Amjad, Muhammad Zeeshan Rafique, Shafqat Hussain, Uzma Yasmeen, Mohammad Aamir Khan
Summary: The integration of Lean Manufacturing and Blue Ocean strategy contributes to achieving holistic manufacturing excellence, improving economic and environmental sustainability by reducing non-value-added activities and delivery times to attain market leadership.
JOURNAL OF CLEANER PRODUCTION
(2021)
Article
Engineering, Industrial
Akrem Dhahri, Ali Gharbi, Mustapha Ouhimmou
Summary: This study investigates the production and delivery control policies for unreliable manufacturer-retailer systems using stochastic optimal control and impulse control theory. The optimal parameters of the proposed policies are determined through a simulation-based optimization approach. Results show that the new proposed policy outperforms others, as confirmed by a comparative study with the relevant literature.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2022)
Article
Engineering, Industrial
Konstantinos A. Tasias
Summary: In the era of modern manufacturing, automated inspection systems can assist in product quality assessment and provide data for both process control and equipment maintenance. This paper proposes a Bayesian model that optimizes the interrelated aspects of production, maintenance, and quality, to transform collected data into optimal decisions that enhance the value of the monitoring process.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Artificial Intelligence
Wenjie Wang, Guangdong Tian, Gang Yuan, Duc Truong Pham
Summary: This article studies the scheduling problem for a remanufacturing system with parallel disassembly workstations, parallel flow-shop-type reprocessing lines and parallel reassembly workstations. An improved multi-objective invasive weed optimization algorithm is utilized to address the multi-objective optimization problem, and the effectiveness of the algorithm is validated through numerical experiments and a practical case.
JOURNAL OF INTELLIGENT MANUFACTURING
(2023)
Article
Automation & Control Systems
Mairi Kerin, Duc Truong Pham, Jun Huang, Jeremy Hadall
Summary: This article discusses the application of digital twins in the manufacturing industry and focuses on the development of product digital twins to reduce uncertainties in remanufacturing. By proposing functional requirements and a modeling language model, the importance of digital twins in remanufacturing process planning is demonstrated.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Ji Li, Yingqi Gu, Chongming Wang, Mingming Liu, Quan Zhou, Guoxiang Lu, Duc Truong Pham, Hongming Xu
Summary: This paper presents a pedestrian-aware supervisory control system for connected hybrid electric vehicles, which aims to minimize pedestrians' exposure to vehicle emissions and pollutants.
IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION
(2022)
Article
Engineering, Industrial
Mario Caterino, Marcello Fera, Roberto Macchiaroli, Duc Truong Pham
Summary: Remanufacturing is an important strategy for promoting circular economy and achieving sustainability goals. The implementation of Industry 4.0 enables the development of Cloud Remanufacturing, a distributed system that utilizes cloud computing and Internet of Things to share and manage resources. This paper introduces the concept of Cloud Remanufacturing, develops mathematical relationships for cost and time evaluation, and tests the model in different scenarios.
JOURNAL OF MANUFACTURING SYSTEMS
(2022)
Article
Computer Science, Interdisciplinary Applications
Yong Zhou, Yiqun Peng, Weidong Li, Duc Truong Pham
Summary: This paper proposes an innovative human-robot collaboration (HRC) approach enabled by the Stackelberg model to remove screws in end-of-life (EoL) products. The approach takes into account the safety and disassembly efficiency of both human operators and robots, and achieves the best performance through a Particle Swarm Optimization (PSO)-Pareto algorithm.
ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
(2022)
Article
Green & Sustainable Science & Technology
Rachel Mason-Jones, Paul G. Davies, Andrew Thomas
Summary: Due to the energy crisis and the increasing demand for renewable energy, it is important for engineering and manufacturing companies, like those in the UK, to ramp up production of renewable energy technologies. However, the lack of businesses willing to supply the renewables sector has led to a shortage in the renewable supply chains. This paper identifies the barriers and risks that prevent companies from investing in the renewables sector, categorizing them as 'system constraints' and using a current reality tree to map out the sector's problems. The study highlights issues such as poor supply chain readiness, lack of government policies and investment, and limited knowledge of the sector, which deter companies from entering the renewables supply chain market.
Article
Chemistry, Multidisciplinary
Liang Jin, Xiao Zhang, Yilin Fang, Duc Truong Pham
Summary: This study proposes a task-based dynamic disassembly process model and a feature-based transfer learning-assisted evolutionary dynamic optimisation algorithm for the dynamic human-robot collaborative disassembly line balancing problem, effectively solving the optimization problem in dynamic environments.
APPLIED SCIENCES-BASEL
(2022)
Article
Automation & Control Systems
Shizhong Su, Duc Truong Pham, Chunqian Ji, Yongjing Wang, Jun Huang, Wei Zhou, Haolin Wang
Summary: This paper presents the design of a compliant robot end-of-arm tool for removing pegs from tightly fitting holes in mechanical products during disassembly operations. The tool reduces stress at the contact points between the peg and the hole, minimizing the risk of damage to the components. Finite-element modelling studies indicate the effectiveness of the compliant structure in facilitating peg removal.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2023)
Article
Engineering, Industrial
Huosong Xia, Yuan Wang, Sajjad Jasimuddin, Justin Zuopeng Zhang, Andrew Thomas
Summary: This study proposes a method to optimize cotton matching in intelligent textile factories using big data and deep reinforcement learning. By combining transaction, interaction, and measurement data, a reward value is designed to achieve an optimized matching scheme. Offline strategy and incentive mechanism are used to iterate the best matching scheme, reaching the goal of intelligent cotton matching.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Multidisciplinary Sciences
Mairi Kerin, Natalia Hartono, D. T. Pham
Summary: Remanufacturing is an important aspect of the circular economy, but its connection with Industry 4.0 has been overlooked. The concept of digital twin, which represents a combination of Industry 4.0 technologies and methodologies, has been recognized as a facilitator for extending product lifecycles. This article presents a digital twin model that uses data from different stages of a product's life cycle to optimize remanufacturing planning, with the integration of a neural network for remaining useful life prediction and the Bees Algorithm for decision making. The model is validated through a real case study, showing that intelligent tools within a digital twin can enhance decision-making when provided with visibility of the product's current status and reliable remanufacturing process information.
SCIENTIFIC REPORTS
(2023)
Article
Multidisciplinary Sciences
Guolin Yun, Tim Cole, Yuxin Zhang, Jiahao Zheng, Shuaishuai Sun, Yiming Ou-yang, Jian Shu, Hongda Lu, Qingtian Zhang, Yongjing Wang, Duc Pham, Tawfique Hasan, Weihua Li, Shiwu Zhang, Shi-Yang Tang
Summary: Reported the development of an electro-mechano responsive Field's metal hybrid elastomer with variable conductivity and stiffness, which can be applied in soft robotics and electronic devices. This material demonstrates significant improvements in performance compared to existing approaches and has potential applications in resilient robotic systems, intelligent instruments, and flexible electronics.
Article
Chemistry, Analytical
Quan Liu, Wupeng Deng, Duc Truong Pham, Jiwei Hu, Yongjing Wang, Zude Zhou
Summary: To make remanufacturing more economically attractive, the development of automatic disassembly and automated visual detection methods is necessary. This paper proposes a two-stage detection framework for detecting structurally damaged screws, using a linear regression model of reflection features that can handle uneven illumination conditions. The first stage extracts screws using reflection features and regression model, while the second stage filters out false areas using texture features. The detection framework is implemented on a robotic platform for disassembling electric vehicle batteries, enabling automatic screw removal in complex disassembly tasks and providing new ideas for future research through the use of reflection features and data learning.
Article
Computer Science, Interdisciplinary Applications
Natalia Hartono, F. Javier Ramirez, D. T. Pham
Summary: This paper presents a multiobjective decision-making approach for robotic disassembly, with the goals of enhancing economic performance, reducing energy consumption, and mitigating environmental impact. Real-use cases are used as demonstrators, and different optimization algorithms are adopted to solve the multiobjective problem.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Feiying Lan, Marco Castellani, Duc Truong Pham, Yongjing Wang
Summary: This paper investigates the correctness of using two-dimensional models for analyzing the assembly and disassembly operations of the cylindrical peg-hole system. The analysis shows that while geometrical equivalence can be proven, kinematic equivalence is generally not verified. The results indicate that a two-dimensional model may give wrong predictions on jamming and reduce the possibility of peg-hole wedging.
ROYAL SOCIETY OPEN SCIENCE
(2023)
Article
Engineering, Industrial
Senjing Zheng, Feiying Lan, Luca Baronti, Duc Truong Pham, Marco Castellani
Summary: This study demonstrates the use of the deep neural network PointNet for identifying components of turbochargers for automotive engines, showing its accuracy and stability in object recognition. In the presence of sensor imprecision, adding stochastic error to the training examples can improve recognition accuracy.
INTERNATIONAL JOURNAL OF MANUFACTURING RESEARCH
(2022)