Common issues facing the manufacturing industry
Manufacturing is at the forefront of innovation with the emergence of Industry 4.0 and widespread digitisation. The sector has displayed remarkable resilience emerging out of the pandemic’s shadow. The global manufacturing output for 2022 showed 3.9% growth rate as of September 2022. However, factors such as inflation, economic instability, and geopolitical disturbances have made it difficult to conduct business today. Additionally, manufacturing industry problems, such as lack of skilled personnel, supply chain issues, and digitisation and automation challenges, can slow down the sector’s growth. Let’s understand the challenges manufacturing industries face and how to overcome them.
Common challenges faced by manufacturing industries
The upswing in the manufacturing sector is an encouraging sign of the industry’s growth. However, several internal issues in the manufacturing industry impede its growth. Let’s delve into the most common problems and their solutions.
The manufacturing industry faces the challenge of finding the right people for the right job. In countries such as the USA, a large chunk of the workforce will face retirement by the end of 2025. A recent industrial outlook survey pointed out that retaining high-performing talent was a top challenge for 2022.
Businesses can address the labour shortage through various measures such as pay raises as well as upskilling and reskilling staff through continuous training. Manufacturers can modify existing shifts to create flexible work arrangements, such as hybrid working. Moreover, the sector can tie-up with universities to raise awareness about jobs in the manufacturing industry. By improving health and safety standards in manufacturing, businesses can attract better talent and retain a high-skilled workforce.
Poor inventory and supply chain management
As supply chains continue to bear the brunt of global changes, supply chain disruptions and inventory control have emerged as significant problems facing the manufacturing industry. Manual stock checks are ineffective and prone to mistakes, leading to errors, shortages, excesses, and unidentified losses.
As a manufacturer, you must ensure suppliers’ stock reliability and quality management. Moreover, production and inventory management requires real-time tracking of goods and logistics. All these aspects create a multi-layered complex supply chain. Deploying automated inventory management and improving end-to-end supply chain visibility leads to a smoothly functioning supply network. Using cloud-based, IoT, and AI-led systems can help with the real-time tracking of goods, collaboration, and seamless communication.
Lack of demand forecasting
A significant problem with manufacturers is that they do not have enough reporting systems to predict sales in the coming months or years. As a result, they cannot fulfil commitments causing customer dissatisfaction, and ultimately, lower revenue. A lack of demand forecasting also affects budgeting and finance, production capacity building, inventory management, and sourcing and procurement.
Predictive analysis of consumer data helps businesses to accurately forecast demand and streamline the product life cycle from the factory to the consumer. Advanced tools and software use relevant data to predict and prepare your business for future trends in the short and long terms. Moreover, such analysis identifies inefficiencies in the production process and provides solutions.
Choosing suitable systems to improve operational efficiency is always a task as it involves investing in technology and human resources. Investing in automation and robotics demands significant expenses besides generating a scare about job losses. Moreover, a lack of awareness about digital transformation and reliance on legacy systems create obstacles for manufacturers to compete with those actively using the latest technologies such as cloud, IoT, and AI.
The benefits of automation in production far outweigh the initial expenses. There is great potential in using new technology to solve the problems of manufacturing industries. Moreover, through effective change management, businesses can upskill the staff as automation replaces their work. This strategy can reduce the talent gap. By embedding technologies such as IoT in manufacturing, businesses can get real-time data on the production process and even machinery maintenance.
Improving operational efficiency is one of the common manufacturing industry problems. Businesses are looking for cost-effective and time-saving techniques to cut costs and increase the productivity of their operations. Furthermore, risk management is essential for long-term success in manufacturing, and a lack of insight can create obstacles to growth.
With the help of enterprise resource planning (ERP) solutions, the manufacturing industry can increase efficiency by modernising procedures and systematising workflows. Advanced ERP systems minimise time-consuming and labour-intensive operations, eliminate material waste, enhance equipment use by reducing damage, and simplify supply networks. Moreover, a robust risk management tool improves product and process quality continuously.
The idea of a business is to enhance the return on investment (ROI), but this is a real challenge faced by the manufacturing industry. A great product will lie in the warehouse without efficient sales management. Merely setting sales targets cannot boost sales. It requires a complete understanding of customer needs and buying trends. With CRM systems, businesses can identify their customer profile and buying patterns. This data also aids in efficient lead management, translating to sales.
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How can Infosys BPM help?
Infosys BPM offers comprehensive business options tailored to business process in manufacturing industry. Our centre of excellence draws on the knowledge of professionals in related fields and business consultants to provide innovative solutions for our customers.