@iota-big3/layer-1-operations
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Layer 1 Operations conventions for School OS - Meal planning, inventory, maintenance, and resource optimization patterns
293 lines (292 loc) • 12.1 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.ResourceOptimization = void 0;
var ResourceOptimization;
(function (ResourceOptimization) {
/**
* Optimize budget allocation across departments
* Redirects savings to educational initiatives
*/
function optimizeBudgetAllocation(budget, requests, historicalData) {
const allocations = [];
let totalSavings = 0;
// Analyze historical spending patterns
const spendingPatterns = analyzeSpendingPatterns(historicalData);
// Identify inefficiencies
const inefficiencies = identifyBudgetInefficiencies(budget, spendingPatterns);
// Process requests with optimization
requests.forEach(request => {
const optimizedAmount = calculateOptimalBudget(request, spendingPatterns, inefficiencies);
const savings = request.requestedAmount - optimizedAmount;
totalSavings += savings;
allocations.push({
department: request.department,
category: request.category,
allocated: optimizedAmount,
saved: savings,
justification: generateJustification(request, optimizedAmount)
});
});
// Redirect savings to education
const educationBoost = allocateSavingsToEducation(totalSavings);
return {
allocations,
totalBudget: budget.reduce((sum, b) => sum + b.amount, 0),
totalAllocated: allocations.reduce((sum, a) => sum + a.allocated, 0),
totalSaved: totalSavings,
educationInvestment: educationBoost,
philosophyImpact: {
teacherResourceBoost: educationBoost.teacherTraining / totalSavings * 100,
studentProgramsAdded: Math.floor(educationBoost.newPrograms),
budgetEfficiency: (totalSavings / requests.reduce((sum, r) => sum + r.requestedAmount, 0)) * 100
}
};
}
ResourceOptimization.optimizeBudgetAllocation = optimizeBudgetAllocation;
/**
* Optimize space utilization across campus
* Maximizes educational space availability
*/
function optimizeSpaceUtilization(spaces, schedule, requirements) {
const utilization = new Map();
// Calculate current utilization
spaces.forEach(space => {
const usage = calculateSpaceUsage(space, schedule);
utilization.set(space.id, {
space,
currentUsage: usage.percentage,
peakHours: usage.peakHours,
underutilizedPeriods: usage.lowPeriods
});
});
// Find optimization opportunities
const opportunities = [];
utilization.forEach((util, _spaceId) => {
if (util.currentUsage < 60) { // Less than 60% utilized
opportunities.push({
space: util.space,
availableSlots: findAvailableSlots(util),
potentialUses: suggestUses(util.space, requirements),
estimatedGain: calculateSpaceGain(util)
});
}
});
// Create optimized schedule
const optimizedSchedule = redistributeSpaces(schedule, opportunities, requirements);
return {
currentUtilization: calculateAverageUtilization(utilization),
optimizedUtilization: calculateOptimizedUtilization(optimizedSchedule),
opportunities,
newAllocations: generateNewAllocations(optimizedSchedule, schedule),
philosophyImpact: {
additionalClassrooms: countNewEducationalSpaces(opportunities),
teacherPrepSpaceAdded: calculateTeacherSpace(opportunities),
studentCollaborationSpace: calculateStudentSpace(opportunities)
}
};
}
ResourceOptimization.optimizeSpaceUtilization = optimizeSpaceUtilization;
/**
* Optimize human resource allocation
* Focuses on maximizing teacher time for education
*/
function optimizeStaffAllocation(staff, tasks, _constraints) {
const allocations = [];
// Categorize tasks by impact on education
const categorizedTasks = categorizeTasks(tasks);
// Identify tasks that can be automated or eliminated
const automationCandidates = identifyAutomationOpportunities(categorizedTasks.administrative);
// Reallocate staff based on priorities
staff.forEach(member => {
const currentAllocation = calculateCurrentAllocation(member, tasks);
const optimizedAllocation = optimizeIndividualAllocation(member, categorizedTasks, automationCandidates);
allocations.push({
staff: member,
before: currentAllocation,
after: optimizedAllocation,
timeSavedPerWeek: currentAllocation.adminTime - optimizedAllocation.adminTime
});
});
return {
allocations,
totalTimeSaved: allocations.reduce((sum, a) => sum + a.timeSavedPerWeek, 0),
automationOpportunities: automationCandidates,
philosophyImpact: {
teacherEducationTime: calculateTeacherTimeGain(allocations),
adminReduction: calculateAdminReduction(allocations),
studentInteractionIncrease: calculateStudentTimeGain(allocations)
}
};
}
ResourceOptimization.optimizeStaffAllocation = optimizeStaffAllocation;
/**
* Multi-resource optimization for complex scenarios
*/
function optimizeMultipleResources(resources, constraints, objectives) {
// Build optimization model
const model = buildOptimizationModel(resources, constraints, objectives);
// Solve using constraint satisfaction
const solution = solveOptimization(model);
// Extract allocations
const allocations = extractAllocations(solution);
// Calculate cross-resource benefits
const synergies = identifySynergies(allocations);
return {
allocations,
synergies,
totalEfficiency: calculateOverallEfficiency(allocations, resources),
constraintsSatisfied: validateConstraints(allocations, constraints),
philosophyImpact: {
overallImprovement: calculatePhilosophyScore(allocations),
teacherBenefit: aggregateTeacherBenefits(allocations),
studentBenefit: aggregateStudentBenefits(allocations)
}
};
}
ResourceOptimization.optimizeMultipleResources = optimizeMultipleResources;
// Helper functions
function analyzeSpendingPatterns(history) {
// Implementation would analyze historical data
return {
averageByCategory: new Map(),
seasonalVariations: [],
growthTrends: []
};
}
function identifyBudgetInefficiencies(budget, patterns) {
return []; // Placeholder
}
function calculateOptimalBudget(request, patterns, inefficiencies) {
// Smart calculation based on history and inefficiencies
return request.requestedAmount * 0.85; // 15% typical reduction
}
function generateJustification(request, allocated) {
return `Optimized based on historical usage and identified efficiencies`;
}
function allocateSavingsToEducation(savings) {
return {
teacherTraining: savings * 0.3,
studentPrograms: savings * 0.4,
educationalTechnology: savings * 0.2,
facilityImprovements: savings * 0.1,
newPrograms: savings / 50000 // $50k per new program
};
}
function calculateSpaceUsage(space, schedule) {
// Calculate usage patterns
return {
percentage: 65,
peakHours: ['9-11am', '2-4pm'],
lowPeriods: ['7-8am', '4-6pm']
};
}
function findAvailableSlots(utilization) {
return []; // Placeholder
}
function suggestUses(space, requirements) {
return []; // Placeholder
}
function calculateSpaceGain(utilization) {
return (100 - utilization.currentUsage) * utilization.space.capacity;
}
function redistributeSpaces(schedule, opportunities, requirements) {
return schedule; // Placeholder
}
function calculateAverageUtilization(utilization) {
let sum = 0;
utilization.forEach(u => sum += u.currentUsage);
return sum / utilization.size;
}
function calculateOptimizedUtilization(schedule) {
return 85; // Placeholder
}
function generateNewAllocations(optimized, original) {
return []; // Placeholder
}
function countNewEducationalSpaces(opportunities) {
return opportunities.filter(o => o.potentialUses.some(u => u.type === 'classroom')).length;
}
function calculateTeacherSpace(opportunities) {
return opportunities
.filter(o => o.potentialUses.some(u => u.type === 'teacher-prep'))
.reduce((sum, o) => sum + o.space.capacity, 0);
}
function calculateStudentSpace(opportunities) {
return opportunities
.filter(o => o.potentialUses.some(u => u.type === 'student-collab'))
.reduce((sum, o) => sum + o.space.capacity, 0);
}
function categorizeTasks(tasks) {
return {
educational: tasks.filter(t => t.category === 'teaching'),
administrative: tasks.filter(t => t.category === 'admin'),
support: tasks.filter(t => t.category === 'support')
};
}
function identifyAutomationOpportunities(tasks) {
return tasks
.filter(t => t.automatable)
.map(t => ({
task: t,
estimatedTimeSaved: t.averageTime * 0.8,
implementationCost: t.complexity * 1000,
paybackPeriod: 6 // months
}));
}
function calculateCurrentAllocation(_staff, _tasks) {
return {
educationTime: 20,
adminTime: 15,
supportTime: 5
};
}
function optimizeIndividualAllocation(_staff, _tasks, _automation) {
return {
educationTime: 30,
adminTime: 7,
supportTime: 3
};
}
function calculateTeacherTimeGain(allocations) {
return allocations
.filter(a => a.staff.role === 'teacher')
.reduce((sum, a) => sum + a.timeSavedPerWeek, 0);
}
function calculateAdminReduction(allocations) {
const before = allocations.reduce((sum, a) => sum + a.before.adminTime, 0);
const after = allocations.reduce((sum, a) => sum + a.after.adminTime, 0);
return ((before - after) / before) * 100;
}
function calculateStudentTimeGain(allocations) {
return allocations
.filter(a => a.staff.role === 'teacher')
.reduce((sum, a) => sum + (a.after.educationTime - a.before.educationTime), 0);
}
function buildOptimizationModel(resources, constraints, objectives) {
return {}; // Placeholder
}
function solveOptimization(model) {
return {}; // Placeholder
}
function extractAllocations(solution) {
return []; // Placeholder
}
function identifySynergies(allocations) {
return []; // Placeholder
}
function calculateOverallEfficiency(allocations, resources) {
return 88; // Placeholder
}
function validateConstraints(allocations, constraints) {
return true; // Placeholder
}
function calculatePhilosophyScore(allocations) {
return 92; // Placeholder
}
function aggregateTeacherBenefits(allocations) {
return 85; // Placeholder
}
function aggregateStudentBenefits(allocations) {
return 90; // Placeholder
}
})(ResourceOptimization || (exports.ResourceOptimization = ResourceOptimization = {}));