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Mahdi Aicha,Imen Belhadj,Moncef Hammadi,Nizar Aifaoui 한국정밀공학회 2022 International Journal of Precision Engineering and Vol.9 No.6
Every industrial organization, whether it deals with an assembly or a disassembly process, is definitely putting a huge focus on how to optimize its operative mode by reducing: process variation, frequent changes of production tools, quality issues, wastes. That’s why, disassembly plan generation (DP) is a very supportive tool that detects and identifies difficulties and probable blocking assembly/disassembly situations from the early design steps and avoid them. This anticipation is quite beneficial to manufactories point of view cost, time and quality of products as it returns with a remarkable reduction in production stopping time and products’ defects, as a result reduction in cost of production. In order to ameliorate DP algorithm decision generation and make it very similar to real manufacturing circumstances, this article comes with a new approach that combines between two main metrics, which are the Quality index (Qi) and the Timing index (Ti), as criteria while selecting optimal and feasible DP. Qi is calculated based on the failure mode, effects and criticality analysis method (FMECA), on the other side, Ti represents the real processing time index with reference to real manufacturing constraints (workplace, lay-out, work-flow, tools, machines…). To highlight the effectiveness of the proposed approach, an industrial gear box example is simulated and compared to a literature study.
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Disassembly Process Planning and Its Lines Balancing Prediction
Mahdi Aicha,Imen Belhadj,Moncef Hammadi,Nizar Aifaoui 한국정밀공학회 2023 International Journal of Precision Engineering and Vol.10 No.6
Design centers and industrial organizations emphasize that process planning is one of the most important pillars that guarantee an efficient production system, as it represents the principal link between design and manufacturing in target of avoiding time and cost wastes. In order to ensure an effective assembly/disassembly process implementation, several parameters have to be properly treated during the planning phase: product data collection and analysis, alignment with customer demand forecast, capacity calculation and equipment/tools planning, in addition to identify layout steps and process setting-up phases. One of the most important procedures that initiate a product remanufacturability and recyclability is disassembly process. That’s why it is mandatory to predict the disassembly process planning and predefine it in advance. This research paper proposes an analytical formulation of disassembly process planning prediction: it is a proactive procedure which model need of equipment, layout and line balancing from the early design phase of product. The disassembly process elements are defined with reference to a previously extracted disassembly plans (DP) from literature, and the disassembly process planning prediction is applied on an optimal disassembly plan selected based on two combined indicators which are Quality index (Qi) and timing index (Ti).
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