Scholarlink

<p><?tk 4?>This paper presents the application of Petri Nets (PNs) approach to develop the performability model of a plywood manufacturing plant. PNs, known for its capability to model the complex systems with concurrent processes, are employed to simulate the different stages of plywood production, including log peeling, veneer drying, gluing, pressing and finishing. The proposed model captures the dynamic behavior of the manufacturing process, including system states, transitions and the resource constraints. By integrating performance measures such as processing time, resource utilization, and system reliability, the model provides insights into potential bottlenecks, downtime, and inefficiencies within the production line. The results offer valuable information for optimizing workflow, improving the operational efficiency and reducing costs also. Additionally the PNs approach enables the identification of critical failure points and offers a framework for enhancing system reliability and overall performability. The paper concludes by revealing the benefits of applying this method in real-world plywood manufacturing scenarios for better decision-making and process improvement.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Performance simulation and analysis of plywood manufacturing plant using stochastic approach

  • 期刊论文

  • 发表日期：

    2026年3月23日

查看全文
  • Amit Kumar Singh,
  • P. C. Tewari

摘要

This paper presents the application of Petri Nets (PNs) approach to develop the performability model of a plywood manufacturing plant. PNs, known for its capability to model the complex systems with concurrent processes, are employed to simulate the different stages of plywood production, including log peeling, veneer drying, gluing, pressing and finishing. The proposed model captures the dynamic behavior of the manufacturing process, including system states, transitions and the resource constraints. By integrating performance measures such as processing time, resource utilization, and system reliability, the model provides insights into potential bottlenecks, downtime, and inefficiencies within the production line. The results offer valuable information for optimizing workflow, improving the operational efficiency and reducing costs also. Additionally the PNs approach enables the identification of critical failure points and offers a framework for enhancing system reliability and overall performability. The paper concludes by revealing the benefits of applying this method in real-world plywood manufacturing scenarios for better decision-making and process improvement.