Robust Lifecycle Management for Service Parts

PTC Lifecycle Management manages transitions and identifies parts demand for every stage of the product lifecycle in a single system, including new product introduction, initial provisioning, use of inventory throughout the lifecycle, end-of-life, and product configuration changes.

Initial Provisioning Recommends Appropriate Initial Parts Mix

Initial Provisioning develops a parts forecast and optimal stocking plan to support new product introduction by referencing multiple inputs, including product bill-of-materials (BOM), install sites, site coverage, confidence level, product rollout schedule and causal values. This enables a collaborative workflow to arrive at a consensus forecast. Key capabilities include:

  • Increasing client asset uptime due to more accurate seed stock projections.
  • Facilitating budgetary planning for product rollouts.
  • Supporting robust scenario management.

Advanced Part Relationship Management Makes the Best Use of Inventory

Advanced Part Relationship Management ensures the appropriate use of all inventory during the sustaining lifecycle phase. Unparalleled functionality allows you to leverage existing inventory that would otherwise become excess stock due to engineering changes that impact manufacturing. Often, these parts can still be used by service but not necessarily in all regions or assets. This is further complicated when dealing with repairable parts. PTC Service Parts Management software takes this factor into account by:

  • Providing advanced Complex Part Chaining capabilities to support all the requirements of complex supersession relationships.
  • Utilizing global and local part chains to address the issue of whether a part can be used in specific geographies.
  • Incorporating both simple (two-way) and complex (one-way) alternative part chains into the planning process.
  • Addressing the needs of all individual parts in the chain, as well as those of the overall part chain, allowing for more accurate identification of excess and shortages while reducing purchases and repairs.
  • Identifying parts that can be upgraded through rework or repair, thereby avoiding obsolescence.
  • Recommending at which location the at repair process can should be performed.

Last Time Buy Forecasts Parts Through End of Service

Last Time Buy leverages demand of parts that have gone through end of life by identifying common characteristics among those parts and then grouping them through clustering techniques. The software systematically mines full lifecycle demand from parts to identify clusters with profiles that match the last time buy part in demand through end of production. These matching profiles are used to generate a forecast for the part through end of service. Additionally, regression is used to identify the optimal pattern from these common patterns, ultimately creating more accurate forecasts based on sophisticated analysis of real-life trends and reducing obsolescence costs by avoiding excess stock at the end of service.


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