NEOct 11, 2017

A batching and scheduling optimisation for a cutting work-center: Acta-Mobilier case study

arXiv:1710.03981v11 citations
Originality Synthesis-oriented
AI Analysis

This addresses production optimization for a specific furniture manufacturing plant, making it an incremental domain-specific improvement.

The study tackled the problem of grouping lots into batches and scheduling them on a cutting work-center for Acta-Mobilier, proposing a specific batching method and a genetic algorithm that reduced production costs and improved visual management, with the software currently in use showing significant results.

The purpose of this study is to investigate an approach to group lots in batches and to schedule these batches on Acta-Mobilier cutting work-center while taking into account numerous constraints and objectives. The specific batching method was proposed to handle the Acta-Mobilier problem and a mathematical formalisation and genetic algorithm were proposed to deal with the scheduling problem. The proposed algorithm has been embedded in software to optimise production costs and emphasis the visual management on the production line. The application is currently being used in Acta-Mobilier plant and shows significant results

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