ABSTRACT Cloud manufacturing (CMfg) is a service-oriented manufacturing paradigm in which manufacturing resources and capabilities are published as services and collaborate with other services to form service compositions. New services are continuously emerging, promoting the development of CMfg services systems. The providers of newly emerged services naturally expect their services to be invoked

ABSTRACT Contemporary advances in manufacturing are moving towards the diversification of interpolation methods in Computer Aided Manufacturing (CAM) softwares thanks to the growing need of free-forms of high quality. New interpolations such as ‘Bspline’ and ‘Cspline’ provide accurate toolpaths, but they generate significant machining errors. The nodes insertion technique is one of compensation methods

ABSTRACT The implementation of automatic feature recognition (AFR) techniques is considered an indispensable concept in transferring product data between computer-aided design (CAD) and computer-aided process planning (CAPP). Different AFR techniques and systems have been developed to serve this aim; however, each of them have limitations. The main research gap is that each system is restricted to

ABSTRACT The environmental and social impact of remanufacturing, as well as its economic value, have attracted widespread attention. Over the past three decades, the researches of the remanufactured product lifecycle management (RPLM) have focused on product design, product recycling networks, remanufacturing production, and closed-loop supply chains. However, a broader combination should be considered

ABSTRACT Mass personalisation is characterised by unpredicted changes in product design and manufacturing processes, as a result of customers’ ability to co-create and co-design products based on personal preferences. Previous approaches that address such unpredicted changes rely on heterarchical control structures and require changes in manufacturing systems’ layout. However, in mass personalisation

ABSTRACT The demand response monitoring is one key energy-efficient production technique and can reduce costs contributing simultaneously to the reduction of environmental emissions and maintaining the stability of electrical grids following the policies examined from European and International organizations. Although, energy trade market effect has been investigated in the literature, the novelty

ABSTRACT Ti6Al4V is extensively employed in the aviation, biomedical, and energy industries due to its high strength at elevated temperatures, low thermal conductivity, and high corrosion/creep resistance. However, these intrinsic properties have brought many technical challenges during the machining process of turbine blade shape. However, the recent advancements in flexible and precision machining

ABSTRACT As an emerging sharing and collaborative paradigm, the cloud manufacturing system should maximize the satisfaction of stakeholders to promote the long-term development of the system. This article proposes a new utility-aware cloud manufacturing multi-task scheduling model, which considers the utilities of both customers and manufacturers. To solve the proposed model, an extended non-dominated

ABSTRACT Currently, additive manufacturing (AM) technology has received significant attention from both academia and industry. AM is characterized by fabricating geometrically complex components in a layer-by-layer manner, and greatly reduces the geometric complexity restrictions compared with traditional manufacturing. As AM is no longer limited to the normal three degrees of freedom (DOF) (three-axis)

ABSTRACT The research proposes a metric referred to as Smart Manufacturing Performance Measures (SMPMs), which are mapped with manufacturing decisions (structural and infrastructural) and manufacturing outputs (cost, quality, delivery, flexibility, and innovativeness). The mapping between manufacturing decisions, manufacturing outputs, and SMPMs, facilitates the organization in choosing SMPMs to deliver

ABSTRACT Tolerance analysis aims to evaluate the functional requirement of mechanical assemblies in the design stage. As one of the typical tolerance analysis methods, the polytope model has shown great potential in Computer-Aided Tolerancing (CAT) field based on a series of constraints. However, existing research outcomes on this topic rarely consider form defects and the combined effects of form

ABSTRACT In the New Product Development (NPD) process, in addition to the customer’s requirements, it is necessary to consider the other actors that will intervene throughout the product’s life cycle, including the performance of maintenance services. Designing a product with characteristics that facilitate the intervention of services requires that the designer takes into consideration knowledge often

ABSTRACT The aim of this study is to investigate the body of literature on digital twins, exploring, in particular, their role in enabling smart industrial systems. This review adopts a dynamic and quantitative bibliometric method including works citations, keywords co-occurrence networks, and keywords burst detection with the aim of clarifying the main contributions to this research area and highlighting

ABSTRACT The manufacturing industries must correctly and quickly predict the production cost of a new product to face increasingly stiff competition. The proper reuse of the company’s know-how guarantees the correct estimation of the manufacturing cost while respecting the required quality. The use of the Digital Mock-Up (DMU) leads to the rapid determination of the manufacturing cost from the CAD

ABSTRACT The current work addresses an industrial problem related to injection moulding manufacturing with focus on mould wear-out prediction. Real data sets are provided by an industrial partner that uses a multitude of moulds with different shapes and sizes in its production. An analysis of the data is presented and begins with clustering the moulds based on their characteristics and pre-chosen running

ABSTRACT Robotic multi-axis curved layer additive manufacturing has drawn more attention recently owing to its unique ability of printing complex shapes while avoiding the stair-step effect and the usage of support structure. However, as the robotic manipulator is an open serial structure and the printing layer now is no longer planar but a free-form surface, the shape and pattern of a printing path

ABSTRACT In global Supply Chain Quality Management (SCQM), there are methods to ensure continuity of supply, at appropriate prices while meeting quality standards. But they are limited by the large and fallible role of humans, especially in manufacturing and quality control. Open Manufacturing aims to establish an open network of manufacturers that enables product information sharing among others in

(2020). Special issue on the application of artificial intelligence in advanced manufacturing. International Journal of Computer Integrated Manufacturing: Vol. 33, Application of Artificial Intelligence in Advanced Manufacturing, pp. 947-948.

ABSTRACT One of the factors that affects the appearance of the garment is the wrinkle. For this purpose, clothing manufacturers try to measure and predict the wrinkle grade, but the reported grade may vary in non-standard conditions. Measuring the wrinkle grades of fabrics is usually done by experts according to the AATCC test method 128–996. The main problem of grading by this method is the credibility

ABSTRACT Precision agriculture requires the allocation of the minimum amount of resources to each piece of land in order to maximize the benefit while having a minimal economic and environmental impact. Based on this principle, precision pesticide spraying for farmland pests requires precise identification of plant features and in-flight management. The spraying rate spray needs to be accurate and

ABSTRACT Within Industry 4.0 research, the spotlight shines on technological and organisational challenges. This study shifts the focus to worker readiness, beginning with an analysis of twenty-three models to establish the state of research. Findings demonstrate that existing models are mostly early-stage proposals addressing competences featured in mainstream 21st-century and digital-competence frameworks

ABSTRACT With the continuous pressures on customized requirements demands, large-scale multiple-stage production systems in industrial parks are suffering from the complex dynamic impact of uncertainties. These uncertainties are caused by the randomness of customer orders, dynamics of production demand, the uncertainty of production resources, etc. It brings enormous challenges to system operation

ABSTRACT The environmental drivers for improving the efficiency of water usage in manufacturing industry are strong. However, while a water reduction programme can initially produce worthwhile benefits with moderate effort, further significant reductions require change to product, process or operational planning. The investment risk represented by such changes may act as a disincentive for companies

ABSTRACT In the field of industrial design, most manufactured objects are designed using 3D CAD (Computer-Aided Design) model. However, the original design may sometimes be lost or not available. A reverse engineering approach is then required to generate a geometric CAD model from 3D point clouds obtained by scanning objects. In this paper, an adaptive process for automatic reconstruction of CAD model

ABSTRACT Dimensional, geometrical and surface texture tolerances are significant issues to be addressed by manufacturing industries. Dimensional and geometrical tolerance estimation systems are used by several machining industries, whereas surface texture tolerance estimation systems are rare. In general-purpose machines, several machining operations are performed and huge machining data are required

ABSTRACT A wide spectrum of Large-Scale Metrology instruments for measuring 3D positions of mobile targets with different levels of accuracy, operational ranges and corresponding cost exist. However, future assembly paradigms and further industrial applications would benefit from a system with ultra low-cost targets and an accuracy in the order of magnitude of 1 mm, which is currently not available

ABSTRACT Analytical models based on physical metallurgy are of limited ability to predict the strength of steel due to the complexities of steelmaking. This paper presents the results obtained using Machine Learning procedures to predict the tensile strength of steel rods manufactured in an electric arc furnace. The available dataset includes 5540 observations (tensile tests) and 97 features (fabrication

ABSTRACT This paper reports the development of an image processing approach that can automatically compute the geometric features of the single layer deposition of Ti-6Al-4 V on the same substrate material using laser deposition process. It involves (i) conducting experiments and capturing the images of deposition geometry using scanning electron microscopy (SEM), (ii) development of the image processing

ABSTRACT How to design Human–Industrial Robot Collaborative (HIRC) workstations is one of the key challenges in the realisation of safe and efficient HIRC systems in industry. The aim of this paper is to present a simple method to be used in early phases of HIRC workstation design. The design method requires a simulation tool and is based on systematic design methodologies and its reference work, Pahl

ABSTRACT Arc welding uses power sources of the constant current type having drooping characteristics or constant voltage characteristics. However, in reality, arc welding is a stochastic process due to random arc behaviour and metal transfer. The quality of a weld depends on the extent of these variations. The random signal amplitudes and time characteristics of the weldingsignal (voltage and current) allow

ABSTRACT Current design methods of individualized insoles are confronted with much-repeated work and are over-reliance on experiences. To tackle these problems, parametric modeling and selective laser sintering (SLS) were integrated for automatically generating personalized insoles in this study. 3D scanning was first used to achieve an individual’s foot model and then an innovative parametric modeling

ABSTRACT Aiming at addressing several conflicting criteria of quality of service (QoS) that should be trade-off optimized during service composition and optimal selection (SCOS) in cloud manufacturing (CMfg), the improved non-dominated sorting genetic algorithm III (NSGA-III) is proposed and employed to address the SCOS issue. This is the first time that a preference-based multi-objective algorithm

ABSTRACT This paper proposes a postprocessor which applies the appropriate rotation rules to reduce the kinematic error (KE). Our first contribution is an algorithm which minimizes the KE using the Hausdorff distance. The shortest path algorithm includes the constraints relevant to the limits of the linear and the rotation axis. The proposed procedure is compared with state-of-the-art methods. It demonstrates

ABSTRACT Cloud manufacturing (CM) is a new service-oriented networked manufacturing mode. The optimal configuration of manufacturing services is one of most challenging topics in CM. Most research focuses on service composition optimization algorithms. However, for different manufacturing tasks, the configuration mode of the manufacturing services is different. For complex parts, effectively using

ABSTRACT In complex machines, the generation of a Disassembly Plan (DP) which allows a minimum change of disassembly tools and directions, and permits an easy dismounting of wear parts is the main requirement to ensure an efficient design. The disassembly cost, in the maintenance case, is high, and needs to anticipate the restore tasks in the early design stages. Considering the disassembly line conditions

ABSTRACT The worldwide manufacturing industry is facing a wide range of changes. Examples include the diversification of customer demands, increases in labor costs and energy resource costs, environmental pollution, and growth uncertainty. Based on the experience of advanced countries and global manufacturers, smart manufacturing systems (SMS) have the potential to address these. SMS can connect raw

ABSTRACT Based on the offset of the feature inflection point, the one-sided offsetting and smoothing algorithm of 3D trimming curve is proposed for trimming insert steel of automotive panels. The core of the algorithm is to determine the curve’s 3D offset direction and its feature inflection point. It obtains the offset direction of 3D discrete point by cross-multiplying the trimming direction with

ABSTRACT Disc slitting is the most economical and efficient method for shearing wide-width sheet metal into strips of appropriate width. In the high-speed continuous operation, the disc slitting machine is prone to various faults such as circular runout of disc cutter, idling of machine tool, and machine stop. In this study, a measurement system was designed for real-time online detection of three-direction

This paper studies the production scheduling problem in an assembly manufacturing system with uncertain processing time and random machine breakdown. The objectives of minimizing makespan and the performance deviation of the actual schedule from the baseline schedule are simultaneously considered. Specifically, a boosting radial basis function network constructed using the data generated by Monte Carlo

Digital Twin can provide emergency response staff with large quantities of useful information about the emergency. However, the capability of the staff to understand and use the information correctly is equally as important. Hence, regular crisis management training is required in sophisticated manufacturing systems. Still, the time and location constraints limit the frequency of conducting such practices

ABSTRACT In the computational world, automation plays a vital role in every aspect. The idea of developing and testing Reconfigurable Input–Output (RIO) Boards automatically without manual interaction is a challenging task. Initially, testing was done manually which takes a lot of time and also requires human interaction. With the proposed idea one can reduce human interaction and testing time with

(2020). Special issue on recent advances in design analytics. International Journal of Computer Integrated Manufacturing: Vol. 33, Recent advances in Design Analytics, pp. 643-644.

ABSTRACT The defects on a leather surface may be caused by the poor material handling process during the production and manufacturing stages. It is essential to eliminate the natural variations and artificial injuries on the leather surfaces, in order to control the quality of the products and achieve customer satisfaction. To date, the visual inspection of the leather defects is performed manually

ABSTRACT The emerging behavior in complex systems is more complicated than the sum of the behaviors of their constituent parts. This behavior involves the propagation of faults between the parts and requires information about how the parts are related. Therefore, the prognostic function at the system-level becomes a very tough task. Conventional approaches focus on identifying faults and their probabilities

ABSTRACT Intelligent machine-tools generate a large amount of digital data. Data mining can support decision-making for operational management. The first step in a data mining approach is the selection of relevant data. Raw data must, therefore, be classified into different groups of contexts. This paper proposes an original contextual classification of data for smart machining based on unsupervised

ABSTRACT During a forging process, the pressure data collected at different positions of the forging machine constitute a group of multi-channel data. Most existing research cannot use these multi-channel data to detect the variation of product quality due to the correlation between different channels. This paper investigates the complex tensor structure and characteristics of the multi-channel data

ABSTRACT This paper aims at performing an overview of the Innovation notion and the selection and discussion of appropriate innovation metrics and challenges, mainly in the context of manufacturing. This review has been performed through literature, on the notion of Innovation and its classification, according to various dimensions/aspects affecting manufacturing.

ABSTRACT Artificial Intelligence (AI) and Software Engineering are considered as significant fields to solve various problems. However, there are weaknesses in certain problem-solving in each field. Thus, this paper is a broad-based review of using artificial intelligence (AI) to improve software engineering (SE), and vice versa. As well as it intends to review the techniques developed in artificial

ABSTRACT In recent years, a revolution named Industry 4.0 has arisen. Industry 4.0 is presented as the integration of new advances in areas such as Cyber-Physical Systems, the Internet of Things and Everything (IoE), Cloud computing, the Internet of Services, Big Data Analysis, Smart Factories, Augmented Reality, among others. Industry 4.0 is not only a new industrial revolution, but also a crucial

The successful introduction of new digital tools on the shop floor and the evaluation of their impacts on workers and their work practices are challenging tasks. Choosing and applying the right evaluation approach, methods, and measures to analyze the impact of digital interventions is a challenging task. To support researchers and practitioners in this challenge, the authors present a study out of

ABSTRACT A new circular open field layout composed of a vehicle-based material handling system and multiple circular loops is proposed. The suggested layout offers more flexibility for high-mix low-volume production systems compared to other layouts as it maximizes the number of equidistant machines. A novel approach that integrates experimental design with computational modelling and statistical analysis

ABSTRACT Increased competition in the global market has forced companies to diversify their product ranges to meet the customers’ changing needs and adopt product development strategies for mass customization or even one-of-a-kind production, which inevitably requires designing modular products. Product modularity is achieved via platform-based systems, in which various combinations of different modules

Carbon emissions caused by CNC machining attract increasing attentions. It has been proved that carbon emissions and processing time are jointly affected by process routes and cutting parameters. Cutting parameters and process routes optimization, however, are traditionally carried out separately and sequentially, limiting the potential of carbon emissions reduction. To further reduce carbon emissions

To maintain the competitiveness of shipyards in the current, difficult situation, further improvements to technology are necessary. Recently, various production technologies have been developed to advance the shipyard production environment under the influence of the Industry 4.0 toward automation, smart factories, and intelligent planning systems. To contribute to such efforts, we introduce a research

On the premise of satisfying the process priority relationship, there are many kinds of feasible sequencing schemes. How to obtain the optimal process sequencing meeting the process priority relationship has always been a popular research area in the field of CAPP (Computer-Aided Process Planning). Currently, some achievements have been made in the field of small and medium-size problems. For large-size

Air cargo loading in terminals demands precise planning to ensure efficient operations and minimise costs with limited time in the airport. Real-time visualisation and loading optimisation are becoming increasingly important due to dynamic loading considerations, including the segregation of dangerous goods and inherent lithium batteries, weight balancing, and oversize cargo handling. A closed-loop

ABSTRACT On the premise of satisfying the process priority relationship, there are many kinds of feasible sequencing schemes. How to obtain the optimal process sequencing meeting the process priority relationship has always been a popular research area in the field of CAPP (Computer-Aided Process Planning). Currently, some achievements have been made in the field of small and medium-size problems.

One of the significant trends in smart manufacturing is the idea of industrial digitalization, which is enabled through the use of new information technologies, such as the Internet of Things, big data, cloud computing, and artificial intelligence. However, manufacturing industries can only be achieved by combining the physical manufacturing world and digital world, to realize a series of smart manufacturing

Energy management effectively reduces energy consumption, improves material utilisation, minimises emissions and maximises product output during manufacturing. Thus, enterprises are implementing an energy management strategy and improving sustainable competitive advantage. With the rapid development of the Internet of Things, Cyber-Physical Systems and Big Data, sustainable smart manufacturing provides

ABSTRACT The aim of this study has been to develop a two-level multi-objective genetic algorithm (MOGA) to optimize risk-based LCC analysis to find the optimal maintenance replacement time for road tunnel ventilation fans. Level 1 uses a MOGA based on a financial risk model to provide different risk percentages, while level 2 uses a MOGA based on an LCC model to estimate the optimal fan replacement