Exploring Lean Manufacturing Integration and Performance Evaluation for Process Optimization in the Food Processing Industry
Abstract
Abstract Lean manufacturing has proven effective across many industries, yet its application in food processing remains constrained by product perishability and process variability. This study develops a hybrid Lean–Simulation framework that integrates Gemba walks, check sheets, Pareto analysis, Fishbone diagrams, and Value Stream Mapping (VSM) with Monte Carlo simulation to capture both deterministic inefficiencies and stochastic variability. Results show an average processing time of 354.98 minutes, with the 95th percentile at 378.96 minutes, confirming that Thawing and Packing are the dominant bottlenecks. By incorporating probabilistic analysis, the framework extends beyond conventional Lean tools and provides managers with actionable insights to enhance stability, allocate resources strategically, and improve responsiveness in food processing operations.
Fields of Study & Subjects
Operations Management Techniques
Quality and Supply Management
Supply Chain Resilience and Risk Management
Publication details
- Journal / source
- Production Engineering Archives
- Publisher
- Stowarzyszenie Menedzerow Jakosci i Produkcji
- Volume
- 32
- Issue
- 1
- Pages
- 87–95
- Publication date
- 1 March 2026
- Language
- EN