Labor Productivity Analytics

Labor Productivity Analytics

Overview

This skill implements data-driven labor productivity analysis for construction projects. Track, measure, and optimize workforce performance to improve project efficiency and reduce costs.

Capabilities:

• Productivity metrics calculation
• Time series analysis
• Crew optimization
• Resource forecasting
• Benchmarking
• Variance analysis

Quick Start

from dataclasses import dataclass, field
from datetime import date, datetime, timedelta
from typing import List, Dict, Optional, Tuple
from enum import Enum
import numpy as np

@dataclass
class WorkLog:
    worker_id: str
    work_date: date
    activity_code: str
    hours_worked: float
    quantity_completed: float
    unit: str
    crew_id: str
    weather: str = "normal"
    notes: str = ""

@dataclass
class ProductivityMetric:
    activity: str
    unit_rate: float  # units per hour
    hours_per_unit: float  # hours per unit