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 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 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

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 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 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 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

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 the appropriate

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

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 materials

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 the vector

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

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 smart automated

(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.

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 by human

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

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 machine

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.

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 intelligence

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 integration

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

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

The selection process for the best computer-aided manufacturing (CAM) software among a set of potential number of alternatives in market has been critical issue for most companies that aim to make their design/manufacturing-related activities automated. Because this selection process is very vital for companies because a wrong decision might put them into a difficult position in terms of economical

(2020). Special issue on ‘transdisciplinary approaches to digital manufacturing for industry 4.0’. International Journal of Computer Integrated Manufacturing: Vol. 33, Transdisciplinary approaches to digital manufacturing for Industry 4.0, pp. 321-324.

Digital twin models are computerized clones of physical assets or systems and have attracted much attention from academia and industries. Digital twin applications focus on smart manufacturing systems. Meanwhile, manufacturing products are driven increasingly by the needs of customers. Industrial production modes have evolved from mass production to personalized production. Understanding customers

Future manufacturing systems such as Industry 4.0, Cloud Manufacturing, or Cyber-Manufacturing System (CMS) rely on the seamless integration of cyber and physical domains in the manufacturing systems. However, this increased connectivity within a factory and between factories enlarges the attack surface for malicious individuals. Potential intrusions – especially cyber-physical attacks – can cause

A novel method for geometric model reconstruction of a damaged blade is presented to improve the precision machining of aero-engine blade repair. Based on the theoretical model of the blade, the iterative closest point (ICP) algorithm is used to determine the relationship between the measuring points and the theoretical model. Blade deformation mechanisms are analyzed to construct the fitting function

One of the main challenges within collaborative business ecosystems are the management of Interoperability. Indeed, Interoperability is a crucial prerequisite that must be satisfied when enterprises need to work together for seizing new business opportunities and improving competitiveness. To develop and improve enterprise systems interoperability, a set of interoperability requirements needs to be

This paper investigates the applicability of two computational intelligence methods for the plasma cutting process modelling: artificial neural networks and adaptive neuro-fuzzy inference systems. After exploring the possibilities of neural networks learning from the experimental data for the prediction of the plasma cutting parameter, the adaptive neuro-fuzzy inference system approach was used in

ABSTRACT With the integration of new-generation information and communication technology (ICT) in the manufacturing industry, many advanced manufacturing modes have been proposed. Cloud manufacturing (CMfg) is one example which integrates manufacturing resources and the provision of on-demand services using new technologies, such as Internet of Things (IoT), Big Data and cloud computing. CMfg has experienced

Developing the mathematical optimization models for multi-pass and multi-stage machining processes, due to their mathematical and implicational complexity is important. Despite extensive research on the optimization of machining processes by considering different assumptions, few studies have been conducted on the processes in which the tool passes over the workpiece surface several times at different

Any shortage and deviation in the implementation of logistics processes can lead to a poor performance and losing the market share of the manufacturer. To overcome this problem, the identification of existing risks in all logistics sub-processes, and taking corrective/preventive measures, is of great importance. In this study, a risk prioritization approach is presented based on a sequential multi-stage

ABSTRACT Digital Twin (DT) implementations can contribute to smart manufacturing by integrating the physical and the cyber space. Artificial Intelligence (AI) applications based on Machine Learning (ML) are widely accepted as promising technologies in manufacturing. However, ML methods require large volumes of quality training datasets and in the case of supervised ML, manual input is usually required

A new electronic seeding device was designed for large-sized seeds, such as soybean, corn, and peanuts, that supports an independent electronic-controlled seeding process. The developed seeding device consists of a programmable logic controller, pulse generator, stepper motor, and stepper motor driver. Based on the Box–Behnken Design model, the effects of different factors on the plant spacing control

The paper deals with the problem of placing objects coming from an input transportation system – conveyor belt – on a specific position of another output moving transportation system and with time and velocity synchronization. The paper focuses on the case of the synchronous and precise placing of objects without predefined patterns of shapes and when they have unknown mechanical properties or when

The presented study seeks to identify the role of crowdsourcing within the scope of Industry 4.0. For this purpose, a Systematic Literature Review was performed, starting from 476 articles that mentioned “crowdsourcing’ and ‘Industry 4.0’, which were reduced to 31 articles that comprised the corpus of the review work after exclusion filters were applied. These articles brought factors related to the

With the development of digital twin, the research on the fusion of intelligent manufacturing system and digital twin technology attracts more attention. In this paper, the realization of digital twin is studied for geometric feature online inspection system of body-in-white (BIW). A three-level virtual modeling approach of Element-Behavior-Rule is proposed for the physical environment modeling in

To compensate the joint torque of Axis-II caused by end loading and mass of links in industrial robots, static balancing mechanisms are generally used. There are several existing balancing mechanism techniques. However, as these techniques lack autonomy, continuity and dynamics, they cannot completely compensate the joint torque in the presence of dynamic or multiple types of loads. In this paper,

The Whale Optimization Algorithm (WOA), which mimics the social behavior of humpback whales, is a recently developed meta-heuristic algorithm. However, WOA exists the defect of easily falling into local optimum. This paper proposes a new WOA based on a self-adapting parameter adjustment and a mix mutation strategy (abbreviated as SMWOA). The self-adapting parameter adjustment strategy based on a normal