Taming the Unwieldly Data Beast: Applying Big Data Methods to Guarantee and Maintain High Quality Reliable Data in Smart Manufacturing

Summary & ConclusionsBecause of the recognized need for data-driven decision making in Smart Manufacturing [1], data must not only be highly valued but also its value carefully obtained and maintained. Additionally, because the value of data is directly related to its veracity [2], various dimensions of quality can be used to evaluate Smart Manufacturing’s handling of its data assets to ensure maximum value is derived from them.The revolution of applying Big data to Smart Manufacturing for the former’s ability to handle a wealth of data and the latter’s abundance of it, is well documented [3]. Such is also the case for the similarity between each ecosystem’s devices: the Internet-of-Things (IoT) in Big data and the cyber-physical production system (CPPS) of Smart Manufacturing [4]. Big data being a key enabler for Smart Manufacturing, many Big data tools and methods are readily available and extensively useful in ensuring the highest level of data veracity in a CPSS as they are used to maintain the same in the IoT ecosystem [5].