Material Tracker
Business Case
Problem Statement
Material management challenges:
-
Tracking multiple orders
-
Coordinating deliveries
-
Avoiding stockouts
-
Managing lead times
Solution
Comprehensive material tracking system to monitor orders, deliveries, inventory, and alert on potential issues.
Technical Implementation
import pandas as pd from typing import Dict, Any, List, Optional from dataclasses import dataclass, field from datetime import date, timedelta from enum import Enum
class OrderStatus(Enum): DRAFT = "draft" SUBMITTED = "submitted" CONFIRMED = "confirmed" IN_PRODUCTION = "in_production" SHIPPED = "shipped" DELIVERED = "delivered" PARTIAL = "partial" CANCELLED = "cancelled"
class PriorityLevel(Enum): CRITICAL = "critical" HIGH = "high" NORMAL = "normal" LOW = "low"
@dataclass class MaterialOrder: order_id: str material_code: str material_name: str supplier: str quantity: float unit: str unit_cost: float total_cost: float order_date: date required_date: date expected_delivery: date actual_delivery: Optional[date] status: OrderStatus priority: PriorityLevel delivered_qty: float = 0 notes: str = ""
@dataclass class InventoryItem: material_code: str material_name: str current_stock: float unit: str min_stock: float max_stock: float reorder_point: float location: str last_updated: date
@dataclass class Delivery: delivery_id: str order_id: str delivery_date: date quantity: float received_by: str condition: str # good, damaged, partial notes: str = ""
class MaterialTracker: """Track construction materials."""
def __init__(self, project_name: str):
self.project_name = project_name
self.orders: Dict[str, MaterialOrder] = {}
self.inventory: Dict[str, InventoryItem] = {}
self.deliveries: List[Delivery] = []
def create_order(self,
order_id: str,
material_code: str,
material_name: str,
supplier: str,
quantity: float,
unit: str,
unit_cost: float,
required_date: date,
lead_time_days: int = 14,
priority: PriorityLevel = PriorityLevel.NORMAL) -> MaterialOrder:
"""Create new material order."""
order = MaterialOrder(
order_id=order_id,
material_code=material_code,
material_name=material_name,
supplier=supplier,
quantity=quantity,
unit=unit,
unit_cost=unit_cost,
total_cost=round(quantity * unit_cost, 2),
order_date=date.today(),
required_date=required_date,
expected_delivery=date.today() + timedelta(days=lead_time_days),
actual_delivery=None,
status=OrderStatus.DRAFT,
priority=priority
)
self.orders[order_id] = order
return order
def update_order_status(self, order_id: str, status: OrderStatus):
"""Update order status."""
if order_id in self.orders:
self.orders[order_id].status = status
def record_delivery(self,
order_id: str,
quantity: float,
received_by: str,
condition: str = "good",
notes: str = "") -> Optional[Delivery]:
"""Record material delivery."""
if order_id not in self.orders:
return None
order = self.orders[order_id]
delivery = Delivery(
delivery_id=f"DEL-{len(self.deliveries)+1:04d}",
order_id=order_id,
delivery_date=date.today(),
quantity=quantity,
received_by=received_by,
condition=condition,
notes=notes
)
self.deliveries.append(delivery)
# Update order
order.delivered_qty += quantity
order.actual_delivery = date.today()
if order.delivered_qty >= order.quantity:
order.status = OrderStatus.DELIVERED
else:
order.status = OrderStatus.PARTIAL
# Update inventory
if order.material_code in self.inventory:
self.inventory[order.material_code].current_stock += quantity
self.inventory[order.material_code].last_updated = date.today()
return delivery
def add_inventory_item(self,
material_code: str,
material_name: str,
current_stock: float,
unit: str,
min_stock: float,
max_stock: float,
location: str):
"""Add item to inventory tracking."""
reorder_point = min_stock + (max_stock - min_stock) * 0.3
self.inventory[material_code] = InventoryItem(
material_code=material_code,
material_name=material_name,
current_stock=current_stock,
unit=unit,
min_stock=min_stock,
max_stock=max_stock,
reorder_point=reorder_point,
location=location,
last_updated=date.today()
)
def consume_material(self,
material_code: str,
quantity: float,
activity: str = "") -> bool:
"""Record material consumption."""
if material_code not in self.inventory:
return False
item = self.inventory[material_code]
if item.current_stock < quantity:
return False
item.current_stock -= quantity
item.last_updated = date.today()
return True
def get_pending_orders(self) -> List[MaterialOrder]:
"""Get all pending orders."""
return [
o for o in self.orders.values()
if o.status not in [OrderStatus.DELIVERED, OrderStatus.CANCELLED]
]
def get_late_orders(self) -> List[Dict[str, Any]]:
"""Get orders that are late or at risk."""
late = []
today = date.today()
for order in self.orders.values():
if order.status in [OrderStatus.DELIVERED, OrderStatus.CANCELLED]:
continue
days_late = (today - order.expected_delivery).days
if days_late > 0 or (order.required_date - today).days < 3:
late.append({
'order_id': order.order_id,
'material': order.material_name,
'supplier': order.supplier,
'required_date': order.required_date,
'expected_delivery': order.expected_delivery,
'days_late': max(0, days_late),
'days_until_required': (order.required_date - today).days,
'status': order.status.value,
'priority': order.priority.value
})
return sorted(late, key=lambda x: x['days_until_required'])
def get_low_stock_items(self) -> List[Dict[str, Any]]:
"""Get items at or below reorder point."""
low_stock = []
for item in self.inventory.values():
if item.current_stock <= item.reorder_point:
low_stock.append({
'material_code': item.material_code,
'material_name': item.material_name,
'current_stock': item.current_stock,
'reorder_point': item.reorder_point,
'min_stock': item.min_stock,
'unit': item.unit,
'location': item.location,
'urgency': 'CRITICAL' if item.current_stock <= item.min_stock else 'REORDER'
})
return sorted(low_stock, key=lambda x: x['current_stock'])
def get_delivery_schedule(self, days_ahead: int = 14) -> pd.DataFrame:
"""Get expected deliveries for coming days."""
today = date.today()
end_date = today + timedelta(days=days_ahead)
scheduled = []
for order in self.orders.values():
if order.status in [OrderStatus.DELIVERED, OrderStatus.CANCELLED]:
continue
if today <= order.expected_delivery <= end_date:
scheduled.append({
'Date': order.expected_delivery,
'Order ID': order.order_id,
'Material': order.material_name,
'Quantity': order.quantity,
'Unit': order.unit,
'Supplier': order.supplier,
'Priority': order.priority.value
})
return pd.DataFrame(scheduled).sort_values('Date') if scheduled else pd.DataFrame()
def calculate_material_cost_summary(self) -> Dict[str, Any]:
"""Calculate material cost summary."""
total_ordered = sum(o.total_cost for o in self.orders.values())
total_delivered = sum(
o.delivered_qty * o.unit_cost
for o in self.orders.values()
)
total_pending = total_ordered - total_delivered
by_supplier = {}
for order in self.orders.values():
if order.supplier not in by_supplier:
by_supplier[order.supplier] = 0
by_supplier[order.supplier] += order.total_cost
return {
'total_ordered': round(total_ordered, 2),
'total_delivered': round(total_delivered, 2),
'total_pending': round(total_pending, 2),
'order_count': len(self.orders),
'by_supplier': by_supplier
}
def export_to_excel(self, output_path: str) -> str:
"""Export material tracking to Excel."""
with pd.ExcelWriter(output_path, engine='openpyxl') as writer:
# Orders
orders_df = pd.DataFrame([
{
'Order ID': o.order_id,
'Material': o.material_name,
'Supplier': o.supplier,
'Quantity': o.quantity,
'Unit': o.unit,
'Unit Cost': o.unit_cost,
'Total Cost': o.total_cost,
'Order Date': o.order_date,
'Required': o.required_date,
'Expected': o.expected_delivery,
'Status': o.status.value,
'Delivered': o.delivered_qty
}
for o in self.orders.values()
])
orders_df.to_excel(writer, sheet_name='Orders', index=False)
# Inventory
if self.inventory:
inv_df = pd.DataFrame([
{
'Code': i.material_code,
'Name': i.material_name,
'Stock': i.current_stock,
'Unit': i.unit,
'Min': i.min_stock,
'Max': i.max_stock,
'Reorder Point': i.reorder_point,
'Location': i.location
}
for i in self.inventory.values()
])
inv_df.to_excel(writer, sheet_name='Inventory', index=False)
# Late orders
late = self.get_late_orders()
if late:
late_df = pd.DataFrame(late)
late_df.to_excel(writer, sheet_name='Late Orders', index=False)
# Low stock
low = self.get_low_stock_items()
if low:
low_df = pd.DataFrame(low)
low_df.to_excel(writer, sheet_name='Low Stock', index=False)
return output_path
Quick Start
from datetime import date, timedelta
Initialize tracker
tracker = MaterialTracker("Office Building A")
Create order
order = tracker.create_order( order_id="PO-001", material_code="CONC-C30", material_name="Concrete C30", supplier="ABC Ready Mix", quantity=200, unit="m3", unit_cost=150, required_date=date.today() + timedelta(days=10), lead_time_days=3, priority=PriorityLevel.HIGH )
Update status
tracker.update_order_status("PO-001", OrderStatus.CONFIRMED)
Record delivery
tracker.record_delivery("PO-001", quantity=200, received_by="John Smith")
Common Use Cases
- Check Late Orders
late = tracker.get_late_orders() for order in late: print(f"{order['order_id']}: {order['days_late']} days late")
- Low Stock Alert
low_stock = tracker.get_low_stock_items() for item in low_stock: print(f"{item['material_name']}: {item['current_stock']} {item['unit']} - {item['urgency']}")
- Delivery Schedule
schedule = tracker.get_delivery_schedule(days_ahead=7) print(schedule)
Resources
- DDC Book: Chapter 3.2 - Material Management