Most of FMCG, financial and Retail industries are currently going through vast transformation journeys to simplify their footprint and implement a Digital ecosystem. Until recently, manufacturing and supply chain were driven by process efficiencies. Today, complex challenges & trends are emerging to create smarter products. Due to the rise in the complexity of the individualised products with very shorter product lifecycle, business processes are evolved around real time decisions. Manufacturing industry has now realised that Industry 4.0 as a key catalyst for maintaining high quality in a very volatile market. Some of the complex discreet or process manufacturing businesses are finding it extremely hard to maintain high levels of quality and to comply with the regulations in bringing good quality products.
We at Deep Robotics team believe adaption to an ever-changing market, product quality, sustainability and simplification in our manufacturing processes are the key needs that are harder to solve using conventional approach.
Due to multiple factories across the globe, Manufacturing industry requires a virtual model of a process, product or service. Pairing of a virtual and physical world will allow analysis of data monitoring to head off the problems before they even occur, preventing downtime, developing new opportunities and even plan for the future by using simulations. Due to our global presence, Internet of Things IoT’s (Acoustic, thermal, position, geolocation sensors embedded in the machines) and Digital Twins are being very useful when working with the machines from remote distance by gathering data using real time status, working position or condition.
CTO’s are spending huge investments on establishing an ecosystem/framework in using robust cloud infrastructure & cloud-computer power, Wi-Fi hotspots and digital backbones across the globe. These strategical initiatives are being tested & trialled by using multiple approaches in Robotic Process Automation, Digital Twins, Smart Maintenance and Machine learning.
We now need to address major challenges by using AI in optimising manufacturing supply chain processes and formulating market consumer demand by looking at the patterns in behavioural, geographical, socioeconomic and macroeconomic factors. This will drive Manufacturing Industry’s broader strategy in demonstrating the breadth of ambition to be fully connected.
I am starting to focus on individual use cases in multiple sectors using ML, so stay tuned…..