Merging top-down and bottom-up making plans approaches

8:10 pm
April 12, 2024
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This weblog collection discusses the complicated duties power software corporations face as they shift to holistic grid asset control to control in the course of the power transition. The first put up of this collection addressed the demanding situations of the power transition with holistic grid asset control. The 2d put up on this collection addressed the built-in asset control platform and information alternate that unite trade disciplines in several domain names in a single community.

Breaking down conventional silos

Many software asset control organizations paintings in silos. A holistic manner that mixes the siloed processes and integrates quite a lot of making plans control methods supplies optimization alternatives on 3 ranges:

  1. Asset portfolio (AIP) degree: Optimum challenge execution agenda
  2. Asset (APMO) degree: Optimum upkeep and substitute timing
  3. Spare section (MRO) degree: Optimum spare portions conserving degree

The blended making plans workout routines produce budgets for finances expenditures (CapEx) and working bills (OpEx), and set minimal necessities for grid outages for the impending making plans duration, as proven within the following determine:

Asset investments are in most cases a part of a grid making plans division, which considers expansions, load research, new consumers and long-term grid necessities. Asset funding making plans (AIP) equipment convey worth in optimizing quite a lot of, infrequently conflicting, worth drivers. They mix new asset investments with current asset replacements. However, they observe other approaches to possibility control by means of the use of a possibility matrix to evaluate possibility in the beginning of an optimization cycle. This top-down procedure is efficacious for brand spanking new belongings since no details about the belongings is to be had. For current belongings, a extra correct bottom-up possibility manner is to be had from the continual well being tracking procedure. This procedure calculates the well being index and the efficient age in response to the asset’s particular degradation curves. Dynamic well being tracking supplies up-to-date possibility knowledge and correct substitute timing, versus the static manner used for AIP. Combining the asset efficiency control and optimization (APMO) and AIP processes makes use of this enhanced estimation knowledge to optimize in actual time.

Maintenance and challenge making plans happen in operations departments. The APMO procedure generates an optimized paintings agenda for upkeep duties over a challenge duration and calculates the optimal substitute second for an current asset on the finish of its lifetime. The upkeep control and challenge making plans methods load those duties for execution by means of box carrier departments.

On the upkeep restore and overhaul (MRO) aspect, spare section optimization is related to asset criticality. Failure mode and impact research (FMEA) defines upkeep methods and related spare conserving methods. The major parameters are optimizing for inventory worth, asset criticality and spare section ordering lead occasions.

Traditional making plans processes focal point on disparate making plans cycles for brand spanking new and current belongings in a top-down as opposed to bottom-up asset making plans manner. This manner ends up in suboptimization. An built-in making plans procedure breaks down the departmental silos with optimization engines at 3 ranges. Optimized making plans leads to decrease outages and gadget downtime, and it will increase the environment friendly use of scarce sources and finances.

Read extra about IBM® Maximo® APM for Energy and Utilities

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