Modularity-based quality assessment of a disruptive reconfigurable manufacturing system-A hybrid meta-heuristic approach

Abstract

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Problem-Specific Heuristics for Diagnosability and Inventory Analysis in a Reconfigurable Manufacturing System

“…The literature has considered the KPIs of cost, time, and responsiveness in the design of RMS process planning. In a recent effort, Khan et al [5] considered the aspect of quality in the process planning problem. The RMS was subject to deterioration and quality decay; however, the diagnostic aspect and phase-wise analysis of production system performance were not conducted.…”

“…The performance of the HAD heuristic was compared to other published algorithms/heuristics in the established literature. In this regard, the hybrid framework of nonsorting genetic algorithm (NSGA-II) and multi-objective particle swarm optimization (MOPSO) (called hybrid NSGA-II-MOPSO) was selected from [5]. In addition, NSGA-II [58] and MOPSO [60] heuristics were also selected.…”

“…The heuristics for the deterministic problem and SBO were implemented in MATLAB by using a system comprising the specification Core i5, 2.8 GHz processor, and 16 GB RAM. A product from our previous study [5] (as shown in Figure 15) comprising 17 operations is to be processed by using any combination of five reconfigurable machines. The time to process an operation varies between 6-19 minutes.…”

“…RMS is a complex manufacturing system as it offers several machine configurations, modules, and tools to perform the same operation. Thus, several production routes can be formed depending on several possible combinations of machine configurations, modules, and tools [5]. A product may pass through any of these routes, enhancing the difficulty in tracking and examining the product quality in each route.…”

Quality and Risk Management in Industrial Production Systems: A Literature Review

“…which includes quality analysis, maintenance models for quality improvement, predictive analysis, industrial quality control, nonconformities handling methodologies, different correlations between process steps, six sigma, and SPC tools, continuous improvement approaches, quality optimizations, and process modelling, AR methods integration, problem-solving approaches, and lean manufacturing tools. (Teli et al, 2013;Yang et al, 2021) Quality assurance (Colledani et al, 2014;Eger et al, 2018;Haefner et al, 2014;Duong et al, 2021;Alves et al, 2021;Alexandru et al, 1998;Osanna et al, 2001;Nikolay, 2016;Ransing et al, 2016;Gewohn et al, 2018;Dantan et al, 2020;Khan et al, 2021) Quality control (Durakbasa et al, 1992;Oh et al, 2019;Wu, 2004;Korytkowski et al, 2008;Colledani, 2008;Muthu et al, 2009;Hajji et al, 2012;Villeta et al, 2012;Lv et al, 2012;Jovic et al, 2013;Ordieres-Meré et al, 2013;Achcar et al, 2013;Žapčević and Butala, 2013;Chang and Lee, 2013;Liu et al, 2014;Xia et al, 2014;Dodd et al, 2015;Filho and de Oliveira, 2016;Duffuaa and El Gaaly, 2017;Konstantas et al, 2018;Wang et al, 2018;Hofmann et al, 2019;Guo et al, 2019;Gaikwad et al, 2019;Wang and Wu, 2019;…”