
PLM administrators, engineering managers, and IT teams are often give this same choice with equally deadly – well, unfortunate – outcomes. What is this dilemma? Customize the PLM system (beyond mere configuration) to match company policies and processes, or change the culture to bend to the limitations posed by “out of the box” configurations.
Companies will often say something to the effect of “We need the system to do X.” To which many vendors meekly reply “Well, it can’t exactly do X, but it’s close.” So what is a decisionmaker to do? Trust that their organization can adapt? Risking lost productivity and possibly mutiny? Or respond by asking “What will it take to get it to do X?” incurring the risk of additional cost and implementation time.
We can further elaborate on the risks of each. When initially developing the customizations, there is the risk of what I call “vision mismatch.” To the best ability, X is described with a full understanding of the bigger picture that is missed when the developer writes up the specification. This leads to multiple revisions of the code and frustrations on both sides of the table. Then, customizations have the longer-term risk of “locking” into a specific version. While gaining the benefits of keeping your processes perfectly intact, the system is stuck in time unless the customizations are upgraded in parallel. Some companies will avoid that by never upgrading…until their hardware, operating systems, or underlying software systems become unsupported and obsolete. Then the whole thing can come to a crashing halt. Hope the backups work!
Customizing is akin to Charybdis, whom Ulysses avoided, deciding that it is better to knowingly lose a few crew members rather than risk losing the entire ship to the whirlpools. Not customizing is more like Scylla, where there is lower risk, though a much higher probability to the point of almost certainty.
We’ve been through these straits and lived. We’ve gone through with many companies, from large multi-nationals to the proverbial “ma and pa” shops. Let us help you navigate the dangers with our PLM Analytics benchmark.