5 Biggest challenges in manufacturing industry
Business ConsultingSeptember 30, 2021Written by Gaurav Kumar644 views
5 Challenges in Manufacturing Industry for Digital Transformation
1. The Cost of Initial Investments
Large enterprises sometimes have the budget and bandwidth required to embrace new digital solutions. However, small-to-medium manufacturers typically lack the means to pursue those same targets. These organizations might determine to stay with legacy methods, particularly if there are not any apparent pain points related to them. If you are in this case, a strategic plan might help you progress ahead with confidence. This plan might help you prioritize which adjustments to make when to make them, and the way you'll measure project outcomes. With the best technique, Small Medium Business manufacturers can make smart investments in superior technologies that may deliver measurable advantages, together with:- Improved operational effectivity
- Reduced downtime
- Improved data visibility and evaluation
2. Cybersecurity challenges in manufacturing industry
Research shows that greater than 60% of manufacturers have skilled a minimum of one cybersecurity incident in their newly installed smart factories. As a consequence of these incidents, 43% have skilled system outages lasting greater than 4 days. Any digital implementation plan ought to clearly outline how you'll handle your current cybersecurity protocols. It also needs to clarify how your new system will improve these protocols, and what new methods you will have to undertake moving forward. To perceive which areas of your corporation are probably the weakest, you must carry out three key tasks:- Identify mission-critical data belongings
- Create enterprise process roadmaps that present how that data travels all through the group
- Determine the dangers accrued if that data turned misplaced, broken, or compromised
3. Lack of Digital Expertise
It’s no secret that manufacturing has become faster, sleeker, and extra automated than ever before. However, this business remains to be comparatively new to digital recreation. As such, many manufacturing leaders might not perceive the internal workings of some of the newest developments, similar to:- Process automation
- Advanced data analytics
- Cloud computing
- Sensors and IoT
- Digital twin technology
- Machine learning (ML)
- Artificial intelligence (AI)
- Zero-trust models
4. Inflexible Legacy Infrastructure
Modern manufacturing technologies, like manufacturing ERP solutions, are sturdy and future-focused. However, they're not all the time suitable with an organization’s present infrastructure. In fact, the other usually holds true. Before you roll out these new systems, you'll have to make some hard (and sometimes unpopular) decisions. This might embody retiring legacy processes that are not as efficient as they used to be. It might imply retraining employees, even those that have been there for years or maintain a managerial rank. Clearly, legacy infrastructure could be tough to exchange, so we advocate beginning small and discussing where digital technologies can have the best influence. Which manual processes will benefit the most from automation, and which of them can keep as-is? Features that incorporate predictive upkeep usually take precedence, as these can considerably enhance ROI.5. Employee Pushback and Resistance
A manufacturer might closely make investments in digital transformation solely to search out that it didn’t obtain the anticipated outcomes. When this occurs, the difficulty isn’t all the time technical. In many instances, the difficulty is said to the individuals and processes behind the technology. In manufacturing, it’s common for employees to withstand digitization. Often, this comes down to fear. Team members start to understand that their jobs might become out of date or change past recognition. They additionally understand that with the click of a button, they might make an incorrect transfer that holds serious consequences. Examples of such missteps embrace:- Incorrectly configuring machines
- Mishandling instruments or equipment
- Forwarding business-sensitive information to 3rd parties
- Opening unsafe or unknown attachments
About the Author
Business solution-centric Odoo Consultant and IT professional with about 11+ years of experience spanning Odoo delivery, Sales, pre-sales, Odoo product development, Odoo business consulting, outsourcing & ADM services in leadership positions.
- Has headed Practices for Enterprise Solutions ( SAP, Baan & Odoo )
- Experience across domains likeSales and Marketing, Logistics, Manufacturing, Retail, Chemical, Automotive maped to Odoo
- Extensive experience in large program delivery & business process transformation consulting (Odoo Consultant) for multiple programs
- Demonstrated experience in designing new product & service offerings and executing global Go-To-Market strategies for new offerings for new market penetration
- Proven leadership skills with balanced focus on people, processes & technology
- Pioneered the use of ERP systems in various Processing Industry
- Worked as Process Heads of Marketing, Sales, Purchase, HR, ERP Project deliveries and also worked as Business Heads for many companies like IBM, JKT, Denave India, FCS and presently at Apagen
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