Abstract

This research study seeks to identify and prioritize the causes of order fulfillment delays in a small wooden furniture manufacturing company. The authors propose a 5-phase Lean Optimization model to address and reduce this problem. Post-implementation results yielded a 54.87% reduction in material search and transportation times, a 32.86% reduction in travel times between stations, and a 19.81% increase in line efficiency. In addition, order fulfillment percentages increased from 12.5% to 60%.

Highlights

  • Around the world, the wooden furniture industry is the second most important business activity in wood product manufacturing, of which China is the leading producer with a 41% global market share, and Latin America only reports a 3% market share

  • Post-implementation results yielded a 54.87% reduction in material search and transportation times, a 32.86% reduction in travel times between stations, and a 19.81% increase in line efficiency

  • According to a study that assesses the competitive profile of the wooden furniture industry, Peru exhibits a low competitive level in terms of improving production processes and lines, evidencing a disadvantage against top reference countries such as China, Brazil, and Chile [4]

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Summary

Introduction

The wooden furniture industry is the second most important business activity in wood product manufacturing, of which China is the leading producer with a 41% global market share, and Latin America only reports a 3% market share. The combination of a small-scale production, the limited response capabilities against large orders, and the need for change within the organizational core of the different micro and small companies that comprise the sector renders Peru unable to position itself as a prominent power in South America and the rest of the world in terms of wooden furniture production. The paper denotes the conclusions from the research study and lists all the references consulted

State of The Art
Contribution
Proposed Method
Validation
Phase 1
Phase 2
Phase 3
Results Analysis
Conclusions
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