Finite Capacity Production Scheduling
SOLUTIONS DESIGNED TO SYSTEMATICALLY ESTIMATE MARKET DEMAND
Be it New Product Development, Planning, or Promotions, implementing collaborative Demand Forecasting provides you with statistical / ML / AI data to support the course of action in the medium term.
Description
Factory Planner that is useful for complex and detailed level scheduling considering constraints such as multiple additional resources, setup time matrix, resource preferences, transfer batch quantities, all resources within the routing etc. using a combination of Genetic Algorithm and Heuristic (rule based) algorithm. The Planner plans and sequences the orders considering the customer due date. The Planner also optimises for Changeover minimisation, Resource Grouping, SKU Grouping as per the requirement of the operations.
Benefits
Features
Finite Capacity Planning
Focus on planning that simultaneously considers both material and capacity constraints to give a more realistic schedule
Heuristic / Genetic Algorithm based Tool
Rules / Genetic Algorithms ensure optimal scheduling for complex situations arising from of Shifting Bottleneck for different Product Mix
Real Time Monitoring
Work orders and material requirements at the shop floor are automatically generated.
What-If Anaylsis
Allows users to explore multiple scenario options and compare outcomes of different alternatives
High Visibility thereby no Unwanted Surprises
Planning algorithm can be run frequently so that all the problems in factory are visible and take proactive steps to resolve thereby resulting to better OTIF / Better Utilisation / Lower Inventory
Adaptive to Dynamic Environment
Cycle time variation, material / WIP rejection, resource breakdown, etc. and customer changing demands are absorbed,
Some Customer Cases
On the quantitative side, we have integrated the powerful Statistical and Graphical Modelling libraries of Python. We have also connected to ML / AI libraries of WML / Google / AWS to enables the application of a variety of statistical and ML/AI techniques for different situations
Consumer Electrical Company
Enhanced visibility and transparency via S&OP suite for a consumer electrical manufacturer
Speciality Tyre Company
Implemented Demand Forecasting and Demand Aggregation for the smooth function for the manufacturing unit
Other solutions that might interest you.
Sense - S Suite
Field force managment
Acquire - A Suite
Demand Aggregation Portal
Visualise - V Suite
BI, Dashboards and Analytics
