MRO Supply Chain Assessment
At SDI, we believe strongly that your entire enterprise benefits from a more holistic approach to MRO. Let's talk about how our MRO Supply Chain Assessment will help you get a better understanding of what is happening in your facilities from an end-to-end perspective. After some initial qualification, we conduct site tours of a representative sample of your facilities, gather data for analysis, conduct interviews with key stakeholders--and analyze all of the information to let you know what is going well and identify opportunities for improvement. We'll make recommendations on how to connect it all to your enterprise for an MRO supply chain that really works for you.
Focusing on critical areas, and all stakeholders impacted:
Data Management
Increase visibility and consistency for anyone who touches data – maintenance, planners, receiving, sourcing, procurement, inventory
Enterprise Asset Management
Drastically reduce unplanned downtime for your maintenance and engineering staff through parts availability
Source to Pay
Streamline the process to directly impact sourcing, procurement and accounts payable
Technology
Ensure visibility, efficiency and control by evaluating technology, integration and interdependence in a single platform
Receiving / Storeroom
Ensure parts availability to support reliable maintenance and production through process and technology for inventory management
Change Management
To guide all stakeholders smoothly through the process of awareness, alignment, acceptance and adoption of critical change initiatives
Fill out the short form below for a no-obligation MRO Supply Chain Assessment.
Success Story
Our former solution provider was not independent; they were a supplier of parts. It's not the best thing to have a supplier be your MRO outsourcing provider. With SDI, we have a truly independent sourcing agent looking after our best interests.
Data standardization is part of Google’s new initiative to help people find relevant datasets. With a recent study from Data Science Central, it’s estimated that data scientists spend 60% of their time preparing data for analysis, rather than performing the analysis itself. Therefore, the goal of this schema is to drive standardization so that more time can be spent analyzing it.