change-order-analysis

这段内容是审核时保存的快照。外部来源才是完整且最新的版本。

---
name: "change-order-analysis"
description: "Analyze and predict construction change orders using ML. Classify change order types, predict costs and schedule impacts, identify patterns, and optimize approval workflows."
homepage: "https://datadrivenconstruction.io"
metadata: {"openclaw": {"emoji": "🚀", "os": ["darwin", "linux", "win32"], "homepage": "https://datadrivenconstruction.io", "requires": {"bins": ["python3"]}}}
---
# Change Order Analysis

## Overview

This skill implements machine learning-based change order analysis for construction projects. Predict change order costs, classify types, identify patterns in historical data, and streamline approval processes.

**Capabilities:**
- Change order classification
- Cost impact prediction
- Schedule impact analysis
- Pattern identification
- Root cause analysis
- Approval workflow optimization

## Quick Start

```python
from dataclasses import dataclass, field
from datetime import date, datetime
from typing import List, Dict, Optional
from enum import Enum

class ChangeOrderType(Enum):
    DESIGN_CHANGE = "design_change"
    OWNER_REQUEST = "owner_request"
    FIELD_CONDITION = "field_condition"
    CODE_COMPLIANCE = "code_compliance"
    VALUE_ENGINEERING = "value_engineering"
    ERROR_OMISSION = "error_omission"
    SCOPE_CHANGE = "scope_change"

class ChangeOrderStatus(Enum):
    DRAFT = "draft"
    SUBMITTED = "submitted"
    UNDER_REVIEW = "under_review"
    APPROVED = "approved"
    REJECTED = "rejected"
    IMPLEMENTED = "implemented"

@dataclass
class ChangeOrder:
    co_number: str
    title: str
    description: str
    co_type: ChangeOrderType
    status: ChangeOrderStatus
    submitted_date: date
    requested_by: str
    cost_impact: float
    schedule_impact_days: int
    affected_elements: List[str] = field(default_factory=list)

def classify_change_order(description: str) -> ChangeOrderType:
    """Simple rule-based classification"""
    description_lower = description.lower()

    if any(word in description_lower for word in ['design', 'drawing', 'specification']):
        return ChangeOrderType.DESIGN_CHANGE
    elif any(word in description_lower for word in ['owner', 'client', 'request']):
        return ChangeOrderType.OWNER_REQUEST
    elif any(word in description_lower for word in ['site', 'field', 'condition', 'unforeseen']):
        return ChangeOrderType.FIELD_CONDITION
    elif any(word in description_lower for word in ['code', 'regulation', 'compliance']):
        return ChangeOrderType.CODE_COMPLIANCE
    elif any(word in description_lower for word in ['value', 'alternative', 'savings']):
        return ChangeOrderType.VALUE_ENGINEERING
    elif any(word in description_lower for word in ['error', 'omission', 'mistake']):
        return ChangeOrderType.ERROR_OMISSION
    else:
        return ChangeOrderType.SCOPE_CHANGE

# Example
co = ChangeOrder(
    co_number="CO-001",
    title="Additional structural reinforcement",
    description="Site conditions revealed weaker soil requiring additional foundation reinforcement",
    co_type=classify_change_order("Site conditions revealed weaker soil"),
    status=ChangeOrderStatus.SUBMITTED,
    submitted_date=date.today(),
    requested_by="Site Engineer",
    cost_impact=50000,
    schedule_impact_days=5
)
print(f"CO Type: {co.co_type.value}")
```

## Comprehensive Change Order System

### Change Order Management

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

class ImpactSeverity(Enum):
    MINOR = "minor"  # < 1% cost, < 1 week schedule
    MODERATE = "moderate"  # 1-5% cost, 1-4 weeks schedule
    MAJOR = "major"  # 5-10% cost, 1-3 months schedule
    CRITICAL = "critical"  # > 10% cost, > 3 months schedule

@dataclass
class CostBreakdown:
    labor: float = 0
    materials: float = 0
    equipment: float = 0
    subcontractor: float = 0