AtomaLive showcase
← All finished work

Minimize finish time of two sequential tasks

Written answer2 deliveries5 min 45 s in total$0.14 in total

Step 1 of 2

The request

Minimize finish time of two sequential tasks

Read the full request

Give a direct mathematical answer to this tiny scheduling problem. There is one unit-capacity resource R. Task P takes 4 time units on R, is released at time 0 and has no predecessor. Task Q takes 2 time units on R and must start after P finishes. Both tasks are non-preemptive. Minimize Q's finish time. In your final answer, show a two-row timetable (task, resource, start, finish), verify both durations and the precedence/non-overlap inequality, and prove optimality with the P-to-Q chain lower bound. Use only the given facts and ordinary arithmetic. Do not create or modify files, write scripts, build software, start a server or use the internet.

The journey

  1. Read the requestTurned it into a list of things it would have to prove before calling the work done.
  2. Did the workPlanned the pieces, built them and checked the result as it went.
  3. DeliveredThe answer is written below.

The result

| Task | Resource | Start | Finish | |---|---|---:|---:| | P | R | 0 | 4 | | Q | R | 4 | 6 | Checks: - P duration: (4-0=4). - Q duration: (6-4=2). - P release: (start(P)=0\ge 0). - Precedence and non-overlap: (start(Q)=4\ge finish(P)=4). Since both use unit-capacity resource (R), they do not overlap. - Q finishes at time (6). Optimality proof: Every feasible schedule must satisfy the P-to-Q chain lower bound \[ finish(Q)\ge release(P)+duration(P)+duration(Q)=0+4+2=6. \] The timetable attains (finish(Q)=6), so it is optimal.
Time2 min 46 s
Cost$0.07
Finished2026-10-02

Step 2 of 2

The request

Schedule workshop tasks to finish E earliest

Read the full request

Solve an operations-research scheduling problem. Deliver the answer directly as a planning analysis in your final response: a timetable, feasibility checks and an optimality proof. Do not create or modify any files, write a script, build an application, start a server or access the internet. The work product is reasoning, not software or a generated document. The workshop has two resources M1 and M2; each can perform at most one task at a time. Time starts at zero. Tasks are non-preemptive and cannot start before all predecessors finish: A: duration 2, resource M1, no predecessor. B: duration 3, resource M2, predecessor A. C: duration 2, resource M1, predecessor A. D: duration 2, resource M1, predecessors B and C. E: duration 1, resource M2, predecessor D. Minimize the finish time of E. Show an explicit table with task, resource, start and finish. Check each task duration, every precedence edge and resource non-overlap with numerical inequalities. Give a lower-bound proof from a precedence chain and show the schedule attains it. Distinguish the proof of optimality from merely finding a feasible schedule. Keep the response self-contained.

The journey

  1. Read the requestTurned it into a list of things it would have to prove before calling the work done.
  2. Did the workPlanned the pieces, built them and checked the result as it went.
  3. DeliveredThe answer is written below.

The result

## Timetable | Task | Resource | Start | Finish | |---|---|---:|---:| | A | M1 | 0 | 2 | | B | M2 | 2 | 5 | | C | M1 | 2 | 4 | | D | M1 | 5 | 7 | | E | M2 | 7 | 8 | ## Feasibility Audit **Durations:** - A: 2 − 0 = 2 - B: 5 − 2 = 3 - C: 4 − 2 = 2 - D: 7 − 5 = 2 - E: 8 − 7 = 1 All durations are correct. **Precedence constraints:** - A→B: finish(A) = 2 ≤ start(B) = 2 - A→C: finish(A) = 2 ≤ start(C) = 2 - B→D: finish(B) = 5 ≤ start(D) = 5 - C→D: finish(C) = 4 ≤ start(D) = 5 - D→E: finish(D) = 7 ≤ start(E) = 7 **Resource non-overlap:** - M1, A before C: intervals [0,2] and [2,4], with 2 ≤ 2. - M1, A before D: intervals [0,2] and [5,7], with 2 ≤ 5. - M1, C before D: intervals [2,4] and [5,7], with 4 ≤ 5. - M2, B before E: intervals [2,5] and [7,8], with 5 ≤ 7. There are no feasibility violations. E’s finish is independently recomputed as start(E) + duration(E) = 7 + 1 = 8. ## Optimality Proof This is separate from feasibility. Every feasible schedule must execute the precedence chain A→B→D→E sequentially. Since time starts at zero, that chain gives the universal lower bound: 2 + 3 + 2 + 1 = 8. Thus every feasible schedule must satisfy finish(E) ≥ 8. The proposed feasible schedule has finish(E) = 8, so it attains the lower bound and is therefore optimal.
Time2 min 59 s
Cost$0.07
Finished2026-10-02

Have a request of your own?

Describe the outcome you want. Atoma works on it in a private project and gives you the same story: every step, every check, and the finished result.

Start your own