Reliability-Based and Cost-Oriented Product Optimization Integrating Fuzzy Reasoning Petri Nets, Interval Expert Evaluation and Cultural-Based DMOPSO Using Crowding Distance Sorting

Abstract

Featured Application: By integrating fuzzy reasoning Petri Nets, interval expert evaluation and cultural-based dynamic multi-objective particle swarm optimization (DMOPSO) using crowding distance sorting, the proposed reliability-based and cost-oriented product optimization method is effective to conduct the early product design. A reasonable reliability optimization design scheme can be output, and it is of important guiding significance for the product detailed design. The superiority of the proposed method lies in its outstanding ability to deal with the uncertainties information and dynamic product failure propagation. Abstract:In reliability-based and cost-oriented product optimization, the target product reliability is apportioned to subsystems or components to achieve the maximum reliability and minimum cost. Main challenges to conducting such optimization design lie in how to simultaneously consider subsystem division, uncertain evaluation provided by experts for essential factors, and dynamic propagation of product failure. To overcome these problems, a reliability-based and cost-oriented product optimization method integrating fuzzy reasoning Petri net (FRPN), interval expert evaluation and cultural-based dynamic multi-objective particle swarm optimization (DMOPSO) using crowding distance sorting is proposed in this paper. Subsystem division is performed based on failure decoupling, and then subsystem weights are calculated with FRPN reflecting dynamic and uncertain failure propagation, as well as interval expert evaluation considering six essential factors. A mathematical model of reliability-based and cost-oriented product optimization is established, and the cultural-based DMOPSO with crowding distance sorting is utilized to obtain the optimized design scheme. The efficiency and effectiveness of the proposed method are demonstrated by the numerical example of the optimization design for a computer numerically controlled (CNC) machine tool.

Applying Image Processing to Implement Optimization Approaches

“…Advanced technological advancements have made it possible to combine intricate algorithms with several built-in architecture systems, producing a new range of premium equipment at fair costs [38] or consumption time with a planning path and simulation [39] [40], the application of realtime optimization in the economic aspect is the main focus of this work. While real-time optimization has advanced significantly, it also needs to build techniques that move us in the direction of cost-oriented and using more micromechatronic components [41].…”

Challenges in Application of Petri Nets in Manufacturing Systems

“…Thus, fuzzy interpreted PNs (FIPN) for control of a discrete event system are used in [52], with the advantage of quick creation of PLC program code. Fuzzy reasoning PNs (FRPS) are integrated in a reliability-based and cost-oriented product optimisation method, together with particle swarm optimisation in [53]. Dynamic adaptive fuzzy reasoning PNs (DAFRPN) for modelling of energy saving operations in manufacturing systems are in turn proposed in [54].…”

Reliability Evaluation for Manufacturing System Based on Dynamic Adaptive Fuzzy Reasoning Petri Net

“…Wu and Hsieh [30] explored a real-time FPN approach to diagnose progressive faults in discrete manufacturing systems. Hong et al [31] proposed a reliability-based and cost-oriented product optimization method integrating FRPN, interval expert evaluation and cultural-based dynamic multi-objective particle swarm optimization (DMOPSO) using crowding distance sorting.…”