https://hmjournals.com/ijaap/index.php/JPOME/issue/feed Journal of Production, Operations Management and Economics 2026-01-30T10:19:41+00:00 Editor in Chief editor.jpome@gmail.com Open Journal Systems <p>The International<strong> Journal of Production, Operations Management and Economics(JPOME)</strong> having <strong>ISSN 2799-1008</strong> is a double-blind, peer-reviewed, open access journal that provides publication of articles in all areas of Production, Operations Management and Economics and related disciplines. The objective of this journal is to provide a veritable platform for scientists and researchers all over the world to promote, share, and discuss a variety of innovative ideas and developments in all aspects of <strong>Production, Operations Management and Economics.</strong></p> https://hmjournals.com/ijaap/index.php/JPOME/article/view/6045 Understanding the drivers of marker efficiency for improved fabric utilization in apparel production: an analytical approach 2026-01-30T10:19:41+00:00 Md. Taslim taslim7@ymal.com Mohammad Tanvirul Hasnat tanvirulhasnat397@gmail.com <p>Purpose: This study aims to investigate and identify the critical factors that exert a statistically significant influence on marker efficiency, with the ultimate goal of optimizing fabric utilization and minimizing material wastage in readymade garment (RMG) production.</p> <p>Methods: A quantitative research approach was utilized, analyzing primary data from 56 woven markers collected across three factories. The analysis employed Pearson Correlation Coefficients for relationship assessment, one-tailed hypothesis testing to confirm directional impact, and Multiple Linear Regression (MLR) followed by an ANOVA Test to assess the collective predictive power of the independent variables.</p> <p>Results: The MLR model predicting Marker Efficiency was statistically significant Prob (F-statistic = 0.000), explaining 32.72% (R2) of the variance. The Hypothesis Testing confirmed a statistically significant positive impact from Marker Length (r =0.4901), the strongest correlation). Marker Pieces (r = 0.3536). Functional Area (r = 0.3515). In contrast, Marker Width was found to have no statistically significant linear relationship (p = 0.1861). An almost perfect positive correlation was observed between Marker Efficiency and Fabric Utilization (r=0.9985).</p> 2026-01-30T00:00:00+00:00 Copyright (c) 2026 Md. Taslim, Mohammad Tanvirul Hasnat