supplynetpy 0.1.9

Python Library for Modeling and Discrete Event Simulation of Supply Chains

SupplyNetPy

SupplyNetPy is a Python library designed for modeling, simulation, design exploration, and optimization of supply chains and inventory systems. It allows users to create and simulate supply chain networks with various inventory replenishment policies.

Installation

You can install SupplyNetPy using pip:

pip install supplynetpy

Dependencies

SimPy

Authors

• Tushar Lone GitHub
• Lekshmi P GitHub
• Neha Karanjkar GitHub

Quick Start

Creating supply chain networks

import SupplyNetPy.Components as scm

supplier1 = {'ID': 'S1', 'name': 'Supplier1', 'node_type': 'infinite_supplier'}

distributor1 = {'ID': 'D1', 'name': 'Distributor1', 'node_type': 'distributor', 
                'capacity': 150, 'initial_level': 50, 'inventory_holding_cost': 0.2, 
                'replenishment_policy': scm.SSReplenishment, 'policy_param': {'s':100,'S':150},
                'product_buy_price': 100,'product_sell_price': 105}

link1 = {'ID': 'L1', 'source': 'S1', 'sink': 'D1', 'cost': 5, 'lead_time': lambda: 2}

demand1 = {'ID': 'd1', 'name': 'Demand1', 'order_arrival_model': lambda: 1,
            'order_quantity_model': lambda: 10, 'demand_node': 'D1'}

# create a supply chain network
supplychainnet = scm.create_sc_net(nodes=[supplier1, distributor1], links=[link1], demands=[demand1])

# simulate for 20 days
supplychainnet = scm.simulate_sc_net(supplychainnet, sim_time=20, logging=True)

Documentation

For detailed documentation and advanced usage, please refer to the official documentation.