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2. Tardiness (scheduling) - Wikipedia

   en.wikipedia.org/wiki/Tardiness_(scheduling)

   Typical examples include job scheduling in manufacturing and data delivery scheduling in data processing networks. [1] In manufacturing environment, inventory management considers both tardiness and earliness undesirable. Tardiness involves backlog issues such as customer compensation for delays and loss of goodwill.

3. Modified due-date scheduling heuristic - Wikipedia

   en.wikipedia.org/wiki/Modified_due-date...

   The modified due date scheduling is a scheduling heuristic created in 1982 by Baker and Bertrand, [1] used to solve the NP-hard single machine total-weighted tardiness problem. This problem is centered around reducing the global tardiness of a list of tasks which are characterized by their processing time, due date and weight by re-ordering them.

4. Lawler's algorithm - Wikipedia

   en.wikipedia.org/wiki/Lawler's_algorithm

   The algorithm builds the schedule back to front. For each scheduling step, it looks only at the tasks that no other tasks depend on, and puts the one with the latest due date at the end of the schedule queue. Then it repeats this process until all jobs are scheduled. The algorithm works by planning the job with the least impact as late as possible.

5. Gen Z workers think showing up 10 minutes late to work is as ...

   www.aol.com/finance/gen-z-workers-think-showing...

   No wonder bosses say Gen Z are hard to manage: While 70% of boomers have zero tolerance for any level of tardiness, in Gen Z’s eyes, 10 minutes late is right on time.

6. Tardiness - Wikipedia

   en.wikipedia.org/wiki/Tardiness

   Tardiness is the habit of being late or delaying arrival. [1] Being late as a form of misconduct may be formally punishable in various arrangements, such as workplace, school, etc. An opposite personality trait is punctuality .

7. Single-machine scheduling - Wikipedia

   en.wikipedia.org/wiki/Single-machine_scheduling

   Single-machine scheduling or single-resource scheduling or Dhinchak Pooja is an optimization problem in computer science and operations research. We are given n jobs J 1 , J 2 , ..., J n of varying processing times, which need to be scheduled on a single machine, in a way that optimizes a certain objective, such as the throughput .