Highly disorganized environment at Garden Grove where everything takes longer than it should and performance suffers because systemic changes are not made. Mid-level Supply Chain leaders are highly uneducated about modern methods in supply chain (such as block chain and modern MRP/ERP Systems and the abilities/functionalities of modern systems) and would not know how to effectively apply them to a spares business (where forecasting is difficult and demand is highly volatile) even if they learn about them and are therefore unable to make the case to upper management to make those changes and they are able to coast off the ability to complete high volume "busy-work", "following-up", "chasing-orders", "chasing-problems" etc or other what are essentially glorified secretarial or routine manual tasks most of which could be automated (moving inventory around/moving orders around/changing forecasting by manual calculations/moving resources around). Though unique issues obviously arise (especially in spares) much can be done to mitigate the amount of time-consuming manual work that is necessary at those moments. There are, on the other hand, a few veterans at the facility (in other roles such as purchasing and upper management) that have useful tribal-knowledge from many years of experience working there and knowing the specific needs/customers/suppliers even though they are not tech-savy or aware of how modern systems could benefit their roles and the business as a whole. Furthermore, there are severe data-integrity issues within the outdated MRP system (which any new system will inherit if data is not recollected on a vast scale) and many roles overlap and are not well defined further exacerbating the unnecessarily confused and chaotic atmosphere when performance suffers and upper management is "scaring" subordinates. The very outdated MRP system is barley being updated in the next two years. They also do not train new-hires or employees based on aptitude. They will be in bad shape if modern-style airplane parts manufacturers with modern MRP systems and data scientists start competing with them. The office environment is old and outdated both in terms of computers/desks and the manufacturing culture. Honestly, it feels like it hasn't fundamentally changed since the 1980s and all-around feels like an archaic environment compared to modern data-driven businesses in the tech industry or modern manufacturing facilities.
