---
title: "Project Planning and Scheduling Techniques | Orangescrum"
description: "Practical guides to resource-constrained scheduling, multi-project planning, task sequencing, sprint planning, and release coordination."
canonical: https://www.orangescrum.com/optimization
---

# Project Planning and Scheduling Techniques | Orangescrum

> For the complete documentation index, see [llms.txt](https://www.orangescrum.com/llms.txt).

9 guides

# Project Planning Techniques

Practical guides to the scheduling and planning problems every delivery team runs into, and which Orangescrum features help you work through them.

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## These are guides, not product features

Orangescrum does not contain a scheduling solver. It will not compute an optimal plan, level your resources automatically, or assign people for you. What it does is make the inputs visible: dependencies, critical path, who is committed to what, capacity, and cost. Each guide explains a technique and names the real features that support it. Where a technique needs something we do not have, the page says so.

[

### Resource-constrained scheduling

Planning around the people you actually have, not the people the plan assumes.

](/optimization/resource-constrained-scheduling)[

### Multi-project scheduling

Coordinating work when several projects compete for the same team.

](/optimization/multi-project-scheduling)[

### Workforce assignment

Matching people to work by skill, availability, and what they already carry.

](/optimization/workforce-assignment)[

### Parallel task execution

Running work concurrently, and spotting when it only looks concurrent.

](/optimization/parallel-task-execution)[

### Cost-efficient task sequencing

Ordering work so it wastes the least money, not just the least time.

](/optimization/cost-efficient-task-sequencing)[

### Budget-constrained planning

Planning within a fixed budget, and seeing an overrun before it lands.

](/optimization/budget-constrained-project-planning)[

### Sprint and iteration scheduling

Deciding what a team can realistically commit to in one iteration.

](/optimization/sprint-iteration-scheduling)[

### Release planning coordination

Getting several teams to a release date without a spreadsheet.

](/optimization/release-planning-coordination)[

### Code review scheduling

Stopping review from becoming the bottleneck between done and shipped.

](/optimization/code-review-scheduling)

## More planning and delivery guides

[

### Critical path optimisation

Find the chain that sets your end date.

](/critical-path-optimization)[

### Task duration optimisation

Estimate and shorten the work itself.

](/task-duration-optimization)[

### Milestone and deadline optimisation

Make the dates on the plan mean something.

](/milestone-deadline-optimization)[

### Sprint planning optimisation

Commit to the right amount of work each sprint.

](/sprint-planning-optimization)[

### Quality control optimisation

Catch defects without stalling delivery.

](/quality-control-optimization)

## The Features These Guides Keep Coming Back To

Almost every planning problem is answered by the same handful of capabilities. If you only look at four things, look at these.

[

### Gantt and dependencies

What waits on what, and which chain sets the date.

](/gantt-chart)[

### Resource management

Who is available, who is skilled, and who is already committed.

](/resource-management)[

### Workload management

Where someone is carrying more than their capacity.

](/workload-management-software)[

### Budget and cost

What the plan is costing while you can still change it.

](/budget-and-cost-management)

## Try It on a Real Plan

Put one project in, add the dependencies, and see where the schedule and the people disagree. That usually takes an afternoon and answers more than a demo.

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