Manufacturing Analytics Survey
Estimated time : 4 Mins No of Questions : 12 (Objective with easy to pick options)
Participate in the survey to get a chance to win amazon gift card worth $100
ABOUT THIS SURVEY
Manufacturing is at the cusp of a new revolution. In today’s environment, there is no shortage of manufacturing data, and enterprises want to access and use more of it. Fundamental forces like global supply chains, increasing labor costs, increasing automation, faster and complex product cycles, regulations and similar other factors are increasing the need to use data and investment in digitization. As manufacturing jobs get processed on the shop floor, a lot of manufacturing data gets generated. The efficiency improvements and cost returns from simply visualizing production performance are often stated to be more than enough to justify the investment(s) at the site level. Still many organizations are either reluctant to make the investment jump and continue with manual data capture and entry into excel spreadsheets or disconnected software applications to measure parameters like overall equipment effectiveness (OEE).
With the advent of big data processing tools, machine learning algorithms and cloud infrastructure, leveraging your manufacturing data for performance improvement has become increasingly easy. Enterprise manufacturing intelligence (EMI) applications support users in operational and business roles to make informed decisions by synthesizing and analyzing information from highly granular, manufacturing-related data sources and making it visible and understandable through dashboards and portals. The goal is not only to describe the current performance parameters but also to be able to diagnose the same. As deployments become more mature, users and enterprises will be able to predict operational issues and prescribe corrective actions by effective use of such EMI applications.
There are different terms used to define the category of these applications and provided functionalities such as manufacturing analytics, shop floor analytics, machine monitoring, real time monitoring, etc.…however such applications would be primarily focused on helping organizations improve manufacturing performance.
EMI applications are typically a low-risk, high-reward investment. They help bring greater clarity and visibility for understanding line-level or site-level performance related to manufacturing costs, machine availability, and other factors that can limit operational performance.
The objective of this survey is to seek individual feedback on the current processes employed in organizations to improve manufacturing performance in terms of efficiency, effectiveness, quality and other parameters. If respondents have experience in deploying such EMI applications, we would like to hear about their experience. If you have concerns in using these applications in their organizations, we would like to understand the reasons. If you are interested in moving forward with trying out manufacturing analytics in your organization, we would like to understand the key problems you would try to address using the solution.
This survey is restricted to discrete manufacturing users.