Design of a Lean Capacity Optimization Strategy for Machines Under No Mixing Policies

Date

Publisher

Polytechnic University of Puerto Rico

Item Type

Article
Poster
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Abstract

Manufacturing systems operating under fixed batch sizes and strict no-mixing requirements often experience capacity losses due to misalignment between production order quantities and machine cycle capacity. This research examines a three-machine manufacturing system where recurring idle machine cycles lead to underutilized assets, increased lead times, and elevated work-in-process levels. Using the Define, Measure, Analyze, Improve, Control (DMAIC) methodology, the study identifies traceability limitations within machine cycles as the primary root cause of capacity loss. A traceability-based feeding system is developed that enables multiple production orders to be processed within the same cycle while maintaining compliance with quality, process, and documentation requirements. The solution incorporates uniquely identified trays, enhanced documentation, and 5S-based preparation to eliminate idle machine cycles without changing batch sizes or adding equipment. The results demonstrate that hidden capacity can be unlocked through process redesign and improved traceability in constrained manufacturing environments.

Description

Design Project Article for the Graduate Programs at the Polytechnic University of Puerto Rico. Includes a graduate project poster summarizing the research through concise text and visuals derived from the same study.

Keywords

DMAIC, Fixed batching, Lean manufacturing, Machine utilization, No-mixing policy, Traceability

Citation

Pérez Hidalgo, L. M. (2026). Design of a Lean Capacity Optimization Strategy for Machines Under No Mixing Policies [Graduate project poster]. Graduate School, Polytechnic University of Puerto Rico. Puerto Rico Cloud Repository (PRCR). https://hdl.handle.net/20.500.12475/3383