Journal of Advanced Research in Production and Industrial Engineering

Design and Testing of Power Tiller Driven 2-Rows Reduced Tillage Maize Planter

Sachin Kumar Mishra — 2024-01-08

The indigenous methods adopted for planting maize are not only labor intensive, but also time consuming and expensive. Inadequate plant density and delayed planting are the major yield limiting factors in maize. The Minimum and Zero tillage technologies had been successfully adopted to sort out above problems in the maize production. In this study, a reduced maize planter was designed based on design survey, fabricated, modified and its performance was tested under both laboratory and field conditions using 12 hp power tiller in the workshop of research fields of the station. The design of planter consists of two cylindrical seed hoppers of 0.5 ha. capacity, an inclined (14 degree) cell plate type seed metering device having cell no.=24 and cell dia.=9mm, a pair of seed tube, a pair of adjustable furrow opener (hoe type) and a handle which engage or disengage the bevel gear (gear teeth ratio=10:16, final transmission ratio=3:10). Power transmission occur through axial of power tiller with the help of chain and sprocket which further transmitted to metering device by bevel gears. The cost of fabrication of planter was NRs 23000/-. The planter can be operated both in tilled and no-tilled conditions of fields with singulation and no breakage of graded seed with plant to plant spacing=25 cm (adjustable), row to row spacing =60 cm(adjustable) and depth of planting =3-5 cm. The seed rate was about 20 kg/ha. and the germination was 98 %. The actual field capacity was 0.18 ha. /hr. at speed of 2 km/hr. and with field efficiency of 70% which save 40 % time compared to conventional method. The total cost of sowing (NRs 1725/ha) was found to be 77% cheaper than the traditional method of sowing (@ NRs 7500/ha).

Advanced Production Engineering's Use of Robotics and Automation

Rishav Anand — 2023-12-22

The integration of robotics and automation into advanced production engineering has reshaped the landscape of modern manufacturing. This article provides an insightful exploration into the multifaceted impact of these technologies, spanning their historical evolution, integration into production processes, advantages, challenges, applications across diverse industries, future perspectives, and innovations.

The evolution of robotics, from its rudimentary beginnings to the emergence of AI-driven, autonomous systems, mirrors the relentless pursuit of efficiency and precision in manufacturing. Concurrently, automation stands as the linchpin of operational excellence, optimizing workflows and enhancing quality while fostering agility and scalability.

Advantages such as enhanced productivity, improved quality control, cost efficiency, and safety enhancements accompany the integration of these technologies. However, challenges, including initial investment costs, workforce adaptation, cybersecurity vulnerabilities, and ethical considerations, necessitate strategic management for successful implementation.

Applications across industries showcase the versatility of robotics and automation, revolutionizing automotive, electronics, pharmaceuticals, logistics, and various other sectors. Looking forward, anticipated innovations such as AI-powered autonomous systems, flexible production, and sustainable manufacturing underscore a future brimming with possibilities.

Navigating this transformative journey requires a harmonious blend of technological innovation, human-centric approaches, and strategic planning. Embracing these advancements will pave the way for a future where manufacturing transcends limitations, fostering unparalleled efficiency, sustainability, and innovation.

Emerging Technologies and Methodologies for Innovations in Advanced Industrial Research

Rupa Kumari — 2023-12-22

Advanced industrial research continually evolves through the integration of emerging technologies and innovative methodologies. This comprehensive review explores the transformative landscape shaped by Artificial Intelligence (AI), Additive Manufacturing, Quantum Computing, Advanced Materials, and Integrated Cyber-Physical Systems (CPS) within industrial contexts. AI and Machine Learning drive predictive analytics, autonomy, and data-driven decisions, while Additive Manufacturing revolutionizes production with customizability and rapid prototyping. Quantum Computing's potential in solving complex problems and Advanced Materials' unique properties redefine industries. Integrated CPS orchestrates interconnectedness, optimizing processes. Challenges such as scalability, security, and ethical implications temper these advancements. Collaborative efforts and ethical considerations underpin the responsible integration of these technologies, propelling industrial research towards a future marked by innovation, efficiency, and boundless possibilities.

Green technology and sustainability in advanced industrial research

Amit Rawat — 2023-12-22

The future of green technology and sustainability unfolds as a narrative of promise and transformative potential. This abstract envisions a world where innovations in renewable energy, smart infrastructure, circular economy models, precision agriculture, and biotechnology converge to shape a sustainable future. Advancements in renewable energy sources, energy storage, and smart cities herald an era of clean and efficient energy utilization. Innovations in waste management, circular economy principles, and sustainable agriculture redefine resource utilization and food production. Furthermore, biotechnology and green chemistry offer eco-friendly materials and manufacturing methods. The integration of artificial intelligence drives predictive analytics for enhanced resource management and energy efficiency. Collaboration across sectors, policy support, and a collective commitment to sustainability emerge as pivotal forces steering this journey toward a greener, more resilient world. Embracing these innovations promises not only a sustainable future but also a legacy of environmental stewardship and prosperity for generations to come.

The Effects of Lean Manufacturing Principles on Inventory Control and Production Planning

Arpita Priya — 2023-12-22

This abstract presents a comprehensive overview of the future trajectories and innovative advancements within Lean Manufacturing. The synthesis encapsulates the evolving landscape, emphasizing technological integration, sustainability, human-centric approaches, and adaptive agility as key focal points. The integration of Industry 4.0 technologies, such as IoT, AI, and AR/VR, signals a paradigm shift towards smart, data-driven processes. Furthermore, Lean methodologies extend beyond manufacturing, permeating service industries and supply chains, adapting to diverse operational contexts. Notably, a pivotal evolution towards sustainability intertwines with Lean practices, embodying a commitment to eco-conscious operations. Emphasizing the human element, future Lean initiatives prioritize employee engagement, skill enhancement, and empowerment. Moreover, the agility inherent in Lean methodologies fosters adaptability, enabling organizations to navigate uncertainties. This narrative also highlights the accessibility of Lean principles for small businesses, offering scalable and cost-effective strategies. In essence, the synthesis portrays Lean Manufacturing as a catalyst for operational excellence, innovation, and sustainability, shaping a transformative future landscape.