A System-Based Classification and Prioritization Model to Prevent Dead Stock Occurrence in Retail Store Systems

Retail chain stores commonly experience dead stock inventory accumulation due to the absence of indicators and decision rules in management system track down impact potential stocks when left “unattended” or “unmanaged” warehouse. Potential are items that either near-expiry, near its end-of-season, end product market life cycle, simply slow moving which will soon become warehouse if not managed a timely manner. Most retail systems have focused on fighting fire rather than developing standardized process manage inventories prevent from becoming stocks. The systematic perspective is identify first then apply best strategies occurrence This research aims develop identification prioritization framework provide level priority for intervention using rules. Literature review performed required. validated through hypothetical data sets. As result, classification phase shows sets produced similar industry findings composition as percentage total inventory. Next, considering 10-4-1 risk weight produces more discriminating ranks 9-3-1, adopted House Quality (HOQ) framework. rank discrimination an important metric this address primary objective it represents ability prioritize given urgency based criteria resource constraints. Further may be enhancing used producing output developed