International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 04 | Apr 2024
p-ISSN: 2395-0072
www.irjet.net
Efficient Line Feeding via E-KANBAN Sankalp Sambhus1, Aditya Wani2, Prathamesh Shinde3, Hrushikesh B. Kulkarni4 1-4
School of Mechatronics Engineering, Symbiosis Skills and Professional University, Kiwale, Pune ---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - In today's dynamic manufacturing landscape,
Responding to this urgent mandate, this research embarks on a transformative journey aimed at redefining line feeding efficiency within the realm of manufacturing. Through the integration of Electronic KANBAN (EKANBAN) with cutting-edge QR code technology and the adaptable functionalities of Excel automation, this study unveils a paradigm shift in inventory management and material flow control. The convergence of these innovative technologies promisesto transcend the limitations inherent in traditional methods, endowing manufacturers with unparalleled levels of visibility, control, and adaptability in their linefeeding processes.
optimizing line feeding processes is crucial for ensuring operational efficiency and cost-effectiveness. This paper presents a comprehensive exploration of how the integration of Electronic KANBAN (E-KANBAN) with QR code technology and Excel automation can significantly enhance line feeding efficiency. The methodology involves leveraging a Google Form to scan QR codes, each containing 11-digit encoded data specifying precise line locations. Additionally, an encoding process appends initial part numbers to these QR codes, enabling seamless real-time data entry into Excel sheets. Through the utilization of VLOOKUP formulae within Excel, the system efficiently retrieves part store locations, thereby optimizing the retrieval process. The digitally generated Excel sheets are then distributed to handlers responsible for overseeing part delivery to production lines, ensuring adherence to Production and Feeder Point (PFEP) guidelines. By conducting meticulous case studies, this paper demonstrates tangible improvements in lead times and overall operational efficiency, providing manufacturers with actionable insights for fostering lean, agile, and responsive operations. Ultimately, these enhancements contribute to bolstering competitiveness and augmenting customer satisfaction within the manufacturing domain.
At the core of this integrated approach lies the concept of Electronic KANBAN, representing a digital evolution of the esteemed lean manufacturing principle. By harnessing the capabilities of digital platforms and automated data capture, E-KANBAN facilitates real- time monitoring and management of inventory levels, thereby streamlining replenishment processes and curbing wastage. Augmented by QR code technology, which furnishes a standardized and machine-readable format for data encoding, and Excel automation, which empowers users with robust data management and analysis capabilities, this cohesive system promises to revolutionize the modus operandi of manufacturers inapproaching line feeding tasks.
Key Words: Manufacturing optimization, E-KANBAN, QR code technology, Excel automation, Google Forms.
Through a comprehensive exploration, our research endeavors to illuminate the intricacies of implementing and harnessing the potential of E-KANBAN integrated with QR code technology and Excel automation. By delving into the practicalities, challenges, and tangible benefits of this integrated approach, we aim to equip manufacturers with actionable insights and empirical evidence to navigate their journey toward heightened operational efficiency and competitive prowess. Embracing the opportunities afforded by emerging technologies, we envision a future where line feeding operations serve not merely as operational necessities but as strategic assets driving continuous improvement and innovation across manufacturing enterprises.
1. INTRODUCTION In the rapidly evolving landscape of modern manufacturing, the efficient management of line feeding processes emerges as a fundamental pillar, critical not only for bolstering productivity but also for ensuring effective cost management and customer satisfaction. Across a spectrum of industries, spanning from automotive to electronics, the seamless delivery of components to production lines holds paramount importance for sustaining operations and meeting the ever-shifting demands of consumers. However, conventional methods of line feeding grapple with formidable obstacles, encompassing delays, errors, and inefficient resource allocation. These challenges underscore an urgent call for pioneering solutions capable of revolutionizing line feeding operations, thereby optimizing efficiency, responsiveness, and cost- effectiveness.
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