Labor Planning: 8-wk implementation

Objective: Develop a solution which can provide the optimal DC labor headcount while accounting for labor costs, demand volatility and labor productivity

Key Challenges Addressed: Due to volatilities in demand and supply, distribution centers often have a variable amount of products moving in and out of them. Having an insufficient amount of labor in distribution centers results in increased lead-time to process orders and lowered throughput, resulting in congestions and pileups in the supply chain. On the flip side, having an excess amount of labor results in higher expenses for the firm and lower productivity metrics.

How do we address your challenges: Tredence labor planning solution provides the following functionalities for firms to have an accurate view of labor requirements and plan accordingly

1. Dynamic labor planning using volume forecasts
2. Cost optimization tool to determine permanent vs temporary vs overtime hours
3. Optimized workforce policy and activity planning for each site
4. Simulation & Scenario planning tool to plan labor requirement

Pilot Outcome:

1. A data driven solution which translates volume forecast into labor requirements.
2. A simulation tool to assess manpower requirements for processing actual order volumes

Implementation Plan The break-up of the implementation plan is as below:

1. Week 1: Conduct data discovery, productivity assessment etc.
2. Week 2 to Week 4: Estimate labor requirement and develop simulation models for 1 DC
3. Week 5 to Week 8 (0ptional) : Refine and Scale solution

This implementation uses the following native Azure components:

1. Azure Databricks
2. Azure Machine Learning
3. Power BI embedded
4. Power Apps