Risk is an intricate part of supply chains and manufacturing. Larger firms might tap into vertical integration, low-cost outsourcing, or supplier rationalization programs, but this leaves these businesses more vulnerable to risk. Smaller manufacturers may not be able to afford new technologies and automation to ensure safe environments for manufacturing.
With robotics, big data, and the growing demand for cybersecurity and connectivity, supply chains must expand to include customers proactively and invest in the high-tech tools their businesses need despite a lack of finances and skillsets. Customer-supplier relationships are now including customers to carry some of the concerns faced by suppliers. This can include capability acquisitions, technical support, and financial resources.
Mitigating and managing concerns will require a thorough understanding of concerns to eliminate any threats, which is why it’s best to address potential concerns and implement strategies to mitigate them.
In choosing supply management strategies, businesses all work differently. Small businesses might choose to source locally if finances are limited. Larger businesses may be concerned with cyber concerns, shipment delays, counterfeit products, and sabotage. If not addressed early on, concerns can lead to losses in revenue, operations breakdowns, and loss of customers.
To address this, outline the best suppliers and up-front strategies, and use market intelligence that’s proven for decision making. Think two-dimensionally: Gauge the chance of concerns occurrence and then consider the potential impact to the bottom line.
In considering compliance, brand, market, and financial exposure, limiting outsourcing can reduce exposure from suppliers that might deliver incomplete orders or sub-par products. To mitigate this concern, outline the quality standard tolerance on product lines and monitor them closely before any incident affects brand or compliance regulations. With any transportation issues, ensure partners are aware of customer demands and forecasts in the event of any fluctuations.
When selecting suppliers, stay vigilant. Monitoring supplier relationships to minimize disruptions can help maintain quality and avoid financial strains from changes in ownership, geopolitical changes, or labor strikes.
When dealing with salespeople and delivery staff, keep in mind that too often people aren’t vested enough in the chain to understand its operations and intricacies. Training all stakeholders ensures they follow the company’s vision.
Finally, develop strong relationships with key partners that can help with everything from cybersecurity and big data to new technologies and cloud computing.
As more businesses rely on robotics and machine learning, smaller chains might start feeling left behind. You need to understand lead-times and performance, and production implementation with suppliers to gauge capacity and lead-time problems.
Ramp up suppliers right away for accurate assessments with performance, production, and lead-times. Further, good supply planning solutions are able to accurately assess actual lead time (versus supplier-stated lead times).
There will always be challenges and fluctuations in inventory. Monitor supplier relationships and look for areas where they might be overwhelmed. Some suppliers can be too eager to take on new opportunities. Share your demand and supply plans with your suppliers to improve communication and collaboration. Most leading solutions, like Vanguard Software, are able to support these requirements.
Risk is an inherent part of manufacturing and supply chains. With a comprehensive approach, communication with suppliers, and strong relationships with key partners, you can limit risk exposure and passing risks to end users, partners, and customers. The best strategies require time and attention to focus on cost-saving initiatives and risk mitigation concerns but are all worth it in the end.
Not sure how to properly manage and mitigate risks? Vanguard Software offers the sharpest digital transformation technologies that incorporate machine learning, artificial intelligence, and design and can assist with risk management strategies.