https://hmjournals.com/ijaap/index.php/JPOME/issue/feed Journal of Production, Operations Management and Economics 2026-03-26T10:25:10+00:00 Editor in Chief editor.jpome@gmail.com Open Journal Systems <p>The <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 https://hmjournals.com/ijaap/index.php/JPOME/article/view/6150 Analyzing supply chain integration & its performance metrics to enhance productivity case industry: five food complex industries around 2026-03-26T10:25:10+00:00 Getu Abdisa Mitiku getua51@gmail.com <p>Synchronizing supply chain integrations’ (SCIs) activities across its functional departments is the most significant to be competitive. In this research, SCI &amp; its performance were examined through addressing problems, including inadequate coordination and poor resource interflows, in the cause firms’ comprehensive evaluation of efficiencies. The summaries of the literature revealed gaps as excessive reliance on the SCOR-Model and limited deployments of the best management tools. This study integrated the SCOR model with Managerial Levers Achievement Coordination to close these gaps. Having the conceptualized research framework of this study, using MS-Excel &amp; IBM 24 SPSS, primary and secondary data from case firms were examined. Internal operational integrations (19.9%, 52.6, 21.4 %), SC information coordination (16.5%, 51.4%, 26.6%), are considered as factors of SCIs that influence outcome. Response time (21.4%, 50.0%, 22.9%), quality perspective (19.7%, 36.6%, 38.1%) was low, medium, and high. Also, the impacts of one variable on others have been studied by regression and correlation matrix analysis. Unnecessary expenses were investigated as 29%, 18%, 43%, 11% preventive, appraisal, internal, and external failure, while downtime exceeded 19.9%. Then, a possible solution was proposed, a conclusion derived, and further research areas indicated.</p> 2026-02-13T00:00:00+00:00 Copyright (c) 2026