Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Critical Analysis of Material Consumption and Cost Reduction Techniques for the Apparel Cutting Processes

Domaine:

socioeconomic
Créateur:
IsmIbrMbo
Éditeur:
Uni
Hôte:
Revenues generation in the garment industry is synonymous with material consumption. This study thus analysed material consumption and cost reduction techniques in the Tanzanian garment industry. The research employed quantitative (experimentation) and qualitative approaches (document review and observation technique) in the apparel cutting processes. Experimental results of material consumption from ten tests averaged efficiency of 78.67%, the wasted pieces (19.2%), and unnoticed waste (2.03%). Essential considerations to reduce material waste include: digitalising the fabric cutting processes; providing workers training; deploying appropriate practices in the cutting room (e.g. pattern engineering and pattern accuracy); considering the quality of the procured fabric and fabric efficiencies relative to different human body shapes and proportions; and considering the separation process rather than extending facings, splitting substantial components, slight reductions in a flare, and seam displacements. The study implies that apparel enterprises can benchmark their actual material consumption circa 50-70% of their total garment manufacturing costs. Keywords: Material waste, Garment industry, Fabric losses, Cost reduction techniques, Small and medium-sized enterprises.

Visit

doi.org

Similaires

Minimizing the cost of energy consumption for public institutions in NigeriaTraffic Load Prediction and Power Consumption Reduction for Multi-band NetworksFootwear Industry Leather Cutting Issues and Recommendation of Wastage Minimization Research Innovative TechniquesENHANCING TRANSFORMATIVE LEARNING FOR MARGINALISED GIRLS: A CRITICAL ANALYSIS OF THE ROLE OF PEDAGOGICAL PROCESSES IN AN ACCELERATED EDUCATION PROGRAMME IN GHANATopological Data Analysis for Agricultural Yield Prediction in Rwanda: Monte Carlo Estimation with Variance Reduction Techniquesmarcuskiama97-ai/Kenya-Power-Consumption-Cost-Analysis-KPLC-Data-Science-Project-

Minimizing the cost of energy consumption for public institutions in Nigeria

Energy and humanity are superimposed. Its importance to mankind and indispensable nature to the worl

Traffic Load Prediction and Power Consumption Reduction for Multi-band Networks

International audience Energy is a major expense issue for mobile operators. In the c

Footwear Industry Leather Cutting Issues and Recommendation of Wastage Minimization Research Innovative Techniques

Leather from different parts of the animal, its characteristics, and this has to be taken into accou

ENHANCING TRANSFORMATIVE LEARNING FOR MARGINALISED GIRLS: A CRITICAL ANALYSIS OF THE ROLE OF PEDAGOGICAL PROCESSES IN AN ACCELERATED EDUCATION PROGRAMME IN GHANA

Despite global progress in school enrolment, many children enrolled in basic education still achieve

Topological Data Analysis for Agricultural Yield Prediction in Rwanda: Monte Carlo Estimation with Variance Reduction Techniques

This study addresses a current research gap in Mathematics concerning Topological Data Anal

marcuskiama97-ai/Kenya-Power-Consumption-Cost-Analysis-KPLC-Data-Science-Project-

This project analyzes Kenya Power (KPLC) energy consumption data across major regions and customer t