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Food Processing Facility Value Stream Mapping (VSM) Study

April 9, 2026 -
Lean ManufacturingConsumer Products

PROJECT

A complete solution for visualizing and optimizing production flow

CUSTOMER

Food Processing Facility Value Stream Mapping (VSM) Study

Overview

Design Systems Canada (DSC) conducted a comprehensive Value Stream Mapping (VSM) study for a food processing facility in Nisku, Alberta. The objective was to fully understand and optimize the flow of people, materials, and equipment across the production environment.

The engagement provided a data-driven foundation for improving operational efficiency by identifying bottlenecks, inefficiencies, and opportunities to enhance throughput, labor utilization, and internal logistics.

Objectives

1. Establish Full Operational Visibility - Map the complete flow of people, materials, and equipment to gain a clear understanding of how the facility operates.

2. Identify Inefficiencies & Bottlenecks - Uncover constraints within production workflows, including delays, congestion points, and process disconnects impacting throughput.

3. Analyze Labor Utilization - Evaluate workforce allocation across production lines to determine:

  • Staffing effectiveness

  • Workload balance

  • Opportunities to improve efficiency

4. Optimize Material Flow & Internal Logistics - Assess how materials move through the facility, including:

  • Handling processes

  • Routing efficiency

  • Forklift traffic patterns

5. Enable Data-Driven Decision Making - Provide a structured, quantified baseline that supports informed decisions for improving production performance and planning future changes

6. Evaluate Operational Flexibility - Determine whether operational setups—such as one operator managing multiple lines—are feasible and efficient

“Bottom Line” Results

  • Full Visibility into Operations - Production flow, system interactions, and facility dynamics were fully mapped, transforming limited visibility into a clear, actionable understanding.


  • Data-Driven Labor Optimization - Workforce utilization was quantified, enabling smarter staffing decisions and improved allocation across production lines.


  • Improved Material Flow & Logistics - Detailed analysis of material movement and forklift traffic led to identified improvements in internal logistics and flow efficiency.


  • Bottlenecks & Inefficiencies Identified - Previously hidden constraints in workflows were uncovered, providing a clear path to increase throughput and reduce delays.


  • Stronger Operational Decision-Making - The facility now has a structured, data-backed baseline to guide continuous improvement and future optimization initiatives.