TL;DR: This article presents an efficient and effective CloudIoT-based healthcare architecture for ambient assisted living environments using a game theory approach (by means of a stochastic search algorithm) to improve efficiency and latency of the CloudIioT network.

TL;DR: The research results show that the constructed lightweight structural optimization design system of the gantry machine tool has high engineering practicality and beneficial to save the manufacturing cost.

TL;DR: The main objective of resource prediction–based scheduling technique is to efficiently handle the resources for virtual machines in order to reduce the execution time, error rate, and improve the accuracy.

TL;DR: The experimental results illustrate that chaotic gravitational search algorithm–based association rule mining is capable of discovering important association rules between manufacturing system capabilities and product features and will help support planners and engineers for the new product design and manufacturing.

TL;DR: An improved FMEA methodology for strategic risk analysis is developed that reveals that duplication of RPNs has been decreased, facilitating an effective risk ranking by offering a unique value for each risk.

TL;DR: The study reveals three main aspects of achieving significant long-term benefits from modularization initiatives: the company must aim big, draw on the right positional strength and have broad organizational inputs, and properly coordinate work and then actively seek to preserve the focus and results over a long period of time.

TL;DR: A novel approach entitled “Model based for reliability and manufacturability analysis (MBRMA” and based on model-based system engineering and set-based concurrent engineering in the preliminary design phases is used to filter out weak or costly solutions over time and to assess system engineer when adopting trade-off analysis.

TL;DR: The concept of process effectiveness and process value is introduced, and the relationship between rework probability and process effectiveness is discussed, to drive the overlapped iteration process of multi-coupled activities.

TL;DR: The experiment outcome reveals that the multiple perspective prioritization technique is more effective, understandable, less time-consuming, more scalable and easier for prioritizing requirements than the analytical hierarchical process and Wiegers’ techniques.

TL;DR: This work is particularly focused on mechanical features as the most representative subsystem that incorporates genetic algorithm optimization based on a numerical Newton–Euler model merged with topology optimization tools to define final geometry of limbs with stiffness maximization.

TL;DR: A new risk evaluation method termed Extension Evaluation based on Reciprocal Judging Matrix with Triangular Fuzzy Numbers (EE-RJMTFN) is proposed, which provides not only the risk level but also the related correlation degree that describes the deviation from the standard risk level.

TL;DR: An integrated model of planning and scheduling with collaborative optimization structure is established, and the detailed solution strategy of the novel integrated optimization algorithm is presented.

TL;DR: The conceptual design phase is addressed, where the customer needs are assumed to be known and the design criteria are evaluated using fuzzy technique for order preference by similarities to ideal solution based on cost, quality and environmental sustainability.

TL;DR: A logic-based systematic methodology that can generate a throughput analysis model from the real-time data of a shop floor in a CPPS environment was proposed and is expected to facilitate the practical implementation of CPPS and contribute to the success of smart manufacturing and the resultant revival of the manufacturing industry.

TL;DR: The optimization of the gear train transmission is performed according to a multidisciplinary feasible architecture and uses a population-based evolutionary algorithm (non-dominated sorting genetic algorithm II) to generate Pareto-optimal fronts.

TL;DR: A knowledge recommendation framework based on design tasks is proposed, to facilitate the capturing and sharing of knowledge in manufacturing firms and a vector space model-based knowledge recommendation model is built to hasten the knowledge reuse process.

TL;DR: To overcome the issue of post-exchange editability, a collection of neutral assembly commands was introduced to extend the capabilities of the macro-parametric approach and an assembly model consisting of coaxial and incidence constraints was successfully exchanged between two commercial computer-aided design systems.

TL;DR: An interactive genetic algorithm as evolutionary algorithm is presented and combines it with four structure evolutionary operation modes to conduct corresponding gene manipulation and generates evolutionary product.

TL;DR: A novel model based on the robust posterior preference articulation approach is proposed to optimize product form design by simultaneously considering multiple affective responses and can effectively achieve an optimal design and is a robust approach for optimizing product formDesign.

TL;DR: This work presents a tangible interaction vocabulary to physically enhance software tools, particularly used in space system concept studies, which is a practical application which indicates opportunities for research and challenges for the development of new products.

TL;DR: An integrated method is proposed for evaluating the requirements of smart manufacturing systems under the era of Industry 4.0 and Industrial Internet of Things using the fuzzy Kano model and the best non-fuzzy performance and fuzzy analytic hierarchy process method to solve the uncertain, vague, and preferential questions.

TL;DR: A product modularisation methodology is proposed for supporting the optimal trade-off between integral and modular designs in additive manufacturing, based on combining function modelling with optimisation algorithms.

TL;DR: FOrPlan has the main purpose of performing functional simulations of the satellite and associated ground segments, providing a dynamic verification of the mission designed operational concept, through results of concept of operation simulations performed for a scientific space mission study that was carried out recently at CPRIME.

TL;DR: This work aims to develop a novel method for the purpose of facilitating the development of a complex product based on the set-based concurrent engineering method and its implementation in an industrial setting by developing an algorithm to find the set of possible solutions to the design problem and narrow this set to merge toward the final solution.