ABSTRACT The inspection process in today’s digital production cycles is acyber-physical complex including the physical collection of high-quality metrology data and extensive computational tasks to generate valuable information following, intermittently, or online with the manufacturing tasks, to support quality control or quality improvement of products, or production system’s health monitoring and

ABSTRACT This paper presents a methodology to estimate and optimize the process of slicing for a layer-based additive manufacturing process. An objective function for optimizing the process planning parameters is proposed in which perimetral offsets for each layer are considered as a parameter in addition to the layer thickness. The root-mean-square (RMS) value of the deviations between the NURBS representation

ABSTRACT In accordance with the operational characteristics of semiconductor wafer fabrication (FAB), multiple-dynamic-scheduling-rule (MDSR) selection mechanisms must be developed for dynamic scheduling in FAB. The main disadvantage of the classic MDSR selection approach is that it does not immediately reflect changes in production requirements in a dynamic FAB environment. A dynamic scheduling knowledge

ABSTRACT Dynamic scheduling of manufacturing systems is encountered in many real-world industries such as the food and pharmaceutical industries. The scheduling of these systems must not only be efficient but also reactive to cope with dynamic job arrivals and machine breakdowns. Over the last decade, products within Product-Driven Control Systems (PDCS) have become smart entities capable of actively

ABSTRACT Human-robot collaboration (HRC), as a part of Industry 4.0 strategy, requires a completely new type of robots able to co-work with humans, called collaborative robots or cobots. This kind of collaboration is especially needed in assembly systems, which are known for having a low level of automation. For some assembly tasks human is still an irreplaceable factor. On the other hand, some assembly

ABSTRACT Many researchers have examined the relationship between the original equipment manufacturer (OEM) and the third-party remanufacturer (TPR) and found that is mutually beneficial or competitive. This paper aims to study the competitive strategy and production strategy of the OEM and the TPR. The OEM’s competitive strategy is to change their competitive intensity by investing in pricing power

ABSTRACT The new paradigm of digital manufacturing and the concept of Industry 4.0 has led to the integration of recent manufacturing advances with modern information and communication technologies. Therefore, digital simulation tools fused into production systems can improve time and cost-effectiveness and enable faster, more flexible, and more efficient processes to produce higher-quality goods.

ABSTRACT RGB-D sensors are gradually introduced into the robotic system to help the machine understand its surroundings. Among the point cloud processing methods, instance segmentation of point cloud is extremely important since the quality of segmentation will affect the performance of subsequent algorithms. In this paper, the 3D reconstruction process of RGB-D sensor is analyzed, and a framework

ABSTRACT At present, with the emergence and development of cloud manufacturing (CMfg), the scale of services in CMfg platforms increases rapidly which provide the same or familiar functionality but different performance. Large-scale cloud service composition and optimization (CSCO) problems is one of the key issues for the implementation of CMfg. To deal with this NP-hard problem, a novel hybrid algorithm

ABSTRACT Manufacturing systems in the present industry must be flexible and allow fast reconfiguration to supply increasing demands for diversified products. Thus, a standard model for data exchange should be employed in a manner that the same data can be interpreted and used in different machines. In this work the ISO14649 (STEP-NC) standard is used to fulfil this requirement. Also, CNCs must be easily

ABSTRACT The MRO (Maintenance, Repair and Overhaul) industry expected economic growth is severely limited by the high human injury and death toll rates, mainly associated to harsh working environment and scarcity of unmanned support solutions. The present work introduces an advanced mobile robotic platform that is capable of providing a clear response to key MRO barriers being designed to climb vertical

ABSTRACT In an assembly line system, the production process may suffer a sudden disruption, and this may call for rebalancing. In this paper, the assembly line rebalancing problem is set in a multiperiod context considering stochastic processing times. It is assumed that there are specific moments in time chosen for rebalancing the line (if necessary). Two policies, a periodic rebalancing policy and

ABSTRACT Digital twin (DT) technology aims to create a virtual model of a physical entity and efficiently analyze the intelligent manufacturing system. Based on the DT, human-machine interaction (HMI) is a typical application. Deep learning technology is employed in the digital twin to realize and strengthen HMI while analyzing the physical and virtual data. The convolutional neural network (CNN) is

ABSTRACT Machining errors in parallel kinematic machines primarily depend on their extent of kinematic nonlinearity. In this paper, a computer integrated model of the kinematic nonlinearity and trajectory interpolation method for a 4DOF parallel milling machine is developed. The nonlinear errors prompted during various trajectory modes are analyzed. It is proved that in order to avoid significant non-linearity

ABSTRACT Sheet metal bending manufacturing companies require changeable and adaptable process planning systems to shorten the production cycle time and reduce operations costs. This is due to globalisation and the rapid change in market demands for sheet metal products. In light of this, this paper proposes a web-based feature extraction and recognition system. The system would ensure automated planning

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 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 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 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 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 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 Modern industrial production systems are facing the challenge of interconnecting and exploiting the increasing amount of data from smart products, software systems, and IIoT devices. One of the main tasks in this context is the implementation of a data-continuous traceability system, which interconnects the heterogeneous data objects over the entire production flow. While traceability maturity

ABSTRACT Complex cooperative relationships between manufacturing equipment and services make such manufacturing networks have necessary research significance in network science. Under the prevailing background of mass customizing, the continuous coordination between manufacturing services (MSs) in the cloud platform is pulling the complex cooperative relationship between equipment and even enterprises

ABSTRACT Latest trends and developments in digital technologies have enabled a new manufacturing model. Digital systems can monitor, optimize and control processes by creating a virtual copy of the physical world and making decentralized decisions. This paradigm relies on the development of a digital counterpart, the Digital Twin, for each production resource taking part to the whole manufacturing

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 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 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 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 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 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 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 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 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 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