ABSTRACT Designing and manufacturing lattice structures with Topology Optimization (TO) and Additive Manufacturing (AM) techniques is a novel method to create light-weight components with promising potential and high design flexibility. This paper proposes a new design of lightweight-graded lattice structures to replace the internal solid volume of the turbine blade to increase its endurance of high

ABSTRACT For addressing the problem that the quality indicators of gear hobbing are complicated and the influencing factors are unknown, a characteristic processing method combining improved multi-objective differential evolution (IMODE) and clustering based on peak density (DPCA) is proposed. This method can extract the characteristic parameters that strongly influence gear hobbing quality for multi-process

ABSTRACT As a natural consequence of Industry 4.0 demands related to industrial processes control digitization, the smart manufacturing (SM) concept was enriched by integrating advanced technologies of digital information processing. This paper presents an original solution for improving the most representative instance of SM, namely, supply chain management (SCM), by using the most recent approach

ABSTRACT One of the paradigms of Industry 4.0 is the quick answer of companies over changes on customer’s necessities. This can only be achieved when an efficient vertical and horizontal integration occurs across manufacturing systems. However, thousands of heterogeneous information must be exchanged across the process and semantic interoperability obstacles are identified for an effective communication

ABSTRACT In order to provide consumers with personalized cloud manufacturing services, and to form a crowd-sourcing cloud alliance for Small and Medium enterprises (SMEs), a cloud personalized method based on the Evolutionary Game Algorithm (EGA) was proposed in this paper. First, the cloud services were accurately described from two aspects (the enterprise and resources). Besides, an optimization

ABSTRACT With the growing complexity of manufacturing systems nowadays, the effective assessment of important risk factors inherent in the manufacturing process is crucial for the stability and reliability of such complex systems. Thus, this article proposes a data-driven approach using the state-of-art machine learning techniques to assess and forecast the procurement risks of non-ferrous metals associated

ABSTRACT A novel integer programing (IP) model is developed to assign various operations of product variants to candidate machines and select the best place for each machine among the candidate locations. Product variants are considered to have operation sequence flexibility which are optimized for each product variant. The objective is to minimize the total backtracking distance by considering the

ABSTRACT Currently, the evolution of cyber-physical systems within the industry 4.0 paradigm enables the collection of large quantities of heterogeneous data that have not yet been efficiently exploited. One of the reasons is the digital chain disruption and lack of communication between the shop floor and operational management departments. To tackle such issues, this paper proposes a reporting framework

ABSTRACT Variation management aims to reduce the effects of geometric variations of parts to assemble. Industry is facing a digital revolution in being able to manage geometrical deviation data along the entire lifecycle of a product. This requires the development of new assembly simulation models and tools. New design trends are orienting towards more and more lighter products. They are constituted

ABSTRACT Deep learning (DL) is an important enabling technology for intelligent manufacturing. The DL-based industrial image pattern recognition (DLBIIPR) plays a vital role in the improvement of product quality and production efficiency. Although DL technology has been widely used in the field of natural image, industrial image often has some mixed characteristics, such as small sample, imbalance

ABSTRACT Online process control is a crucial task in modern production systems that use digital twin technology. The data acquisition from machines must provide reliable and on-the-fly data, reflecting the exact status of the ongoing process. This work presents an architecture to acquire data for an Additive Manufacturing (3D printer) process, using a set of consolidated Internet of Things (IoT) technologies

ABSTRACT Additive manufacturing is being increasingly focused on the production of end-use parts. Compared to the prototyping application, the production of end-use parts demands a higher level of repeatability and process quality. To achieve this, increased knowledge is required about the influence of various process parameters on the part characteristics and the parameter interrelations. Design of

ABSTRACT Recently, new digital technologies are frequently used in the industry within the scope of Industry 4.0. Augmented reality (AR) is one of these emerging technologies; it assists users with the help of virtual images on the real display of the work environment. Although AR benefits employees in terms of productivity and quality, it is not precisely known if it has a cognitive effect on the

ABSTRACT The capability to predict the behaviour of machines is nowadays experiencing a tremendous growth of interest within Industry 4.0-based manufacturing systems. The route to this end is not straightforward when Run-To-Failure (RTF) data are poorly available or not available at all, thus a strategy must be properly defined. In this proposal, assuming no RTF data, a novelty detection is combined

ABSTRACT The semantic information of process documents for the assembly of complex components plays an important role in the guidance of assembly operations and the feasibility evaluation of process plans. There are many types of semantic elements contained in assembly process documents. The semantic relationship between assembly elements is complex. Additionally, there is a lack of effective modeling

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 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 Existing CAD model classification methods are usually performed by extracting the geometric and topological information of the models. This is not suitable for the classification of Model-based Definition (MBD) models because of the lack of non-geometric semantic information. They cannot solve the problem, as the geometry and topology are similar but the product manufacturing information (PMI)

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 One of the most promising areas for additive manufacturing (AM) adoption is in the healthcare industry, through its ability to produce customized medical devices with personalized fit, feel and functionality. The shift from conventional manufacturing systems to AM implies several changes throughout the medical product’s life cycle phases, from workforce qualification to the relationship with

(2021). Correction. International Journal of Computer Integrated Manufacturing: Vol. 34, No. 3, pp. i-i.

ABSTRACT Design for Additive Manufacturing (DfAM) is an essential method of product design and development process. The product design analysis, including improved production, is carried out according to the key parameters of Additive Manufacturing (AM), such as layer thickness, build orientation, creation of support and slicing planning. The production parameters, together with the AM method and the

ABSTRACT Manufacturing industries are constantly pressured by market demands to produce low-cost, high-quality products. Market demands tend to be complex and full of variations, especially in fast-paced industrial settings. To cope with the rising market demands, traditional manufacturing techniques are forced to develop and adapt advanced practices and methods. However, as advances in manufacturing

ABSTRACT In this study, dynamic modeling of an elbow axially functionally graded (AFG) macro/micro-tube carrying magnetic flow with different cross-sections is considered. Parametric optimization is performed for vibration suppression of such fluid-interaction systems. Implementing computer simulations, passive vibration control procedures, along with the effect of AFG materials and magnetic properties

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 Aiming at solving the problems of low precision of quality monitoring and low sensitivity of fluctuation detection in the batch machining process of complex thin-walled parts, the multivariate profile monitoring approach was proposed. The extended error stream method was used to establish profile representation of the multi-operation machining processing fluctuation, which could describe the

ABSTRACT This paper addresses machines, automated guided vehicles (AGVs), tool transporter (TT) and tools simultaneous scheduling in a multi-machine flexible manufacturing system (FMS) to minimize makespan (MSN). The transfer times of tools and jobs are considered. Only one copy of each type of tool is made available due to economic restrictions. The tools are stored in a central tool magazine (CTM)

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 This article considers a multi-aisle AS/RS employing a single aisle-mobile crane and develops analytical travel time models for three new storage policies with turnover-based product allocation to aisles. In addition to product turnover, these storage policies also take into account the demand skewness and the characteristics of storage and transport equipment. Based on the proposed travel

ABSTRACT The paper concerns the digital twin design and fault-tolerant control of a production system. The real laboratory system under consideration consists of two subsystems: an assembly part and an automated guided vehicle transportation one. The proposed approach focuses, simultaneously, on both concurrency and synchronization problems as they are inevitable in such a kind of modern systems. The

ABSTRACT The paper concerns the digital twin design and fault-tolerant control of a production system. The real laboratory system under consideration consists of two subsystems: an assembly part and an automated guided vehicle transportation one. The proposed approach focuses, simultaneously, on both concurrency and synchronization problems as they are inevitable in such a kind of modern systems. The

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 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 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 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 Sensor signals acquired in the industrial process contain rich information that can be analyzed to detect system anomalies and facilitate effective monitoring of the process. In many processes, multiple signals are acquired by different sensor channels (i.e. multi-channel data) which have high-dimensional and complex cross-correlation structures. When analyzing such signal data, two main issues

ABSTRACT Nowadays agile and practical methods for lean manufacturing and production process reengineering are in urgent need for Small and Medium Enterprises (SMEs). However, due to the limitations in obtaining accurate performance evaluations of the production line, traditional value stream mapping (VSM) methods are insufficient or unpractical in undertaking production process reengineering tasks

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 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 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 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