https://ojs.as-pub.com/index.php/IMA <p><strong>ISSN:&nbsp;3029-1674(online)</strong></p> <p>Industrial Management Advances (IMA) is a peer-reviewed, open-access journal dedicated to the field of industrial management. The journal invites submissions from researchers and practitioners worldwide, providing a platform for sharing innovative ideas and findings.</p> <p>IMA welcomes various types of articles, including original research articles, review articles, editorials, case reports, and commentaries, fostering a comprehensive dialogue on advancements in industrial management practices and methodologies.&nbsp;The research topics of&nbsp;IMA&nbsp;include but are not limited to:</p> <ol> <li class="show">Supply Chain Management</li> <li class="show">Lean Manufacturing</li> <li class="show">Industry 4.0</li> <li class="show">Operations Management</li> <li class="show">Project Management</li> <li class="show">Productivity Improvement</li> <li class="show">Quality Control</li> <li class="show">Logistics and Distribution</li> <li class="show">Sustainable Manufacturing</li> <li class="show">Risk Management in Industry</li> </ol> <p><strong>The article processing charges is $800 per article.</strong></p> en-US editorial_office@as-pub.com (Managing Editor) Mon, 12 May 2025 15:01:21 +0800 OJS 3.1.1.0 http://blogs.law.harvard.edu/tech/rss 60 https://ojs.as-pub.com/index.php/IMA/article/view/9928 <p>In today’s highly dynamic and price-sensitive market environment, inventory management faces increasing challenges due to fluctuating demand and the need for efficient coordination between suppliers and retailers. Based on these premises, this paper develops an exponential complete backordering model of the inventory system that considers the shortages within a finite planning horizon and price-sensitive demand in the presence of linear trends. Included in considerations are variability of demand, backordering costs, and a demand-plus-price relationship modeled through exponential backordering functions taken into consideration. Supportive of MATHEMATICA 12, iterative calculations were performed and Python-based tools created graphs and heatmaps to clearly delineate the result. This would decrease the total variable cost for determining the optimal period of replenishment and shortage. A numerical example is then used to show the ability of the model in optimizing the inventory management, which in turn leads to reduced stockouts, good coordination among suppliers and retailers, and lower costs. The sensitivity analysis presented here is applied to represent the significance of parameters. This research now provides a strong structure for improvement in supply chain management involving dynamic demand environments, especially when price sensitivity and backordering largely influence the processes.</p> Renuka Sheshrao Namwad, Nitin Kumar Mishra, Prerna Jain, Ranu . ##submission.copyrightStatement## https://ojs.as-pub.com/index.php/IMA/article/view/9928 Tue, 22 Jul 2025 09:17:51 +0800