Manufacturers have faced considerable production difficulties in recent years. As supply chains are disrupted, workforce dynamics change, and consumer demands evolve, manufacturers look for ways to optimize production efforts. Analyzing production data to identify patterns across the prevailing business landscape is one of the best ways to find optimization opportunities within a company. Manufacturers are leveraging data analytics to understand the forces influencing their operations and improve processes.
Therefore, manufacturers have been increasingly investing in new digital solutions that help them gather more data from their business operations. With this, manufacturers can gain insight into how their machines function and adjust for optimum results.
In this post, we explore some of the most common challenges plant leaders face and how you can leverage EviView business intelligence software to streamline data collection and draw more meaningful insights from your operations.
A plant manager must know and understand the state of his plant’s performance to make better and more timely decisions. Unfortunately, most business leaders need more data they consider valuable. Despite this, they still need to track critical aspects of their operation and monitor performance trends to optimize decision-making as quickly as possible. Companies are also dealing with a shortage of skilled analytical professionals, making it exceedingly difficult for people outside their organization to understand and solve problems within their operations. This has led to a situation where many plant managers need to be more under- and over-managed. They need more information than they can access, but they also don’t want too much information because it can be overwhelming. They often feel like they’re fighting an uphill battle against their organizations, which makes sense considering that most companies lack the necessary tools to analyze operations data.
Manufacturing is a tough business, and plant leaders face several daily challenges. Here are some of the most common:
This is especially true if one step relies on another to be completed before it happens, so if something goes wrong in the first stage, then there may not be anything that can be done about it until later (by which time it might already be too late).
EviView’s mission is to empower manufacturing monitoring with smarter, more effective manufacturing production tracking software for KPI tracking and reporting. We understand that the manufacturing industry is full of complex processes and production monitoring systems, making it difficult to get a clear picture of your plant’s performance.
CI KPIs, such as average time to respond, review, and implement, are available in the module. Stakeholders can track the status of any actions originating from CI submission to implementation.
It’s easy to monitor performance as it tracks all units minute by minute. Downtime and OEE scores can be seen for individual production lines as well as for the entire plant on a single screen in real-time.
Using Fishbone, Ishikawa, Pareto, Waterfall charts, etc., clearly identifies which factors are the primary contributors to downtime events. When reporting downtime occurrences, operators can easily categorize and distinguish between issues caused by Man (for example, human error), machine, or Material variations, and those caused by Method problems such as a lack of training for new staff.
At the end of each shift, a report is submitted that indicates any changes made to the ideal schedule during that period. The system automatically gathers and analyzes the most important data while reducing redundant information.
For a manufacturing plant, tracking essential process data on assets and operations can eliminate bottlenecks, improve efficiency, and enable managers to make more agile decisions. EviView’s business intelligence software precisely helps provide the right information at the right time to all levels of decision-makers.
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