Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
AI TechDocKnowledge

Glossary · System coordination, integration and orchestration

Job scheduling

Also known as: production scheduling, order scheduling

German: Auftragsplanung

In production and computing, job scheduling is the planning of when and on which resources a set of jobs or orders will be processed, taking into account capacities, due dates, setup times, priorities and constraints.

  • System integration

In one sentence

Job scheduling plans when and on which resources jobs or orders are processed, considering capacity, due dates, setups and priorities.

Example

The MES schedules the week's injection molding orders across six machines so that color changes are grouped and all orders meet their due dates.

How it applies

  • Planning: Detailed scheduling typically happens in MES or advanced planning systems, based on orders from the ERP. Schedules must be revised when machines fail or orders change.
  • Engineering: Scheduling quality depends on data: realistic cycle times, setup matrices and availability. Outdated master data produces schedules the shop floor cannot follow.
  • Documentation: Document the scheduling rules and the data they use in the MES configuration documentation. User documentation for planners should explain how to handle rush orders and how manual changes interact with automatic rescheduling.

Job scheduling vs. dispatching

Scheduling plans ahead for a horizon of hours to weeks. Dispatching, guided by a Dispatch rule, decides at the moment a resource becomes free which job runs next.

By knowledge.aitechdoc.world · Published September 26, 2026 · Last reviewed

Source: AI TechDoc Knowledge editorial definition, based on production planning and scheduling practice

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Knowledge and are not part of any standard.

Seen a mistake? Send us a note!