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The mathematical model of the inventory management system under external disturbance is formulated using a continuous differential equation in which the price and production rates are considered as control factors to optimize total profits, which is described as an objective function. An analytical solution for the optimal pricing and production rate was obtained using the Hamilton-Jacobi-Bellman equation. The unknown disturbance was approximated using an intelligent approach called radial basis function neural network. Finally, extensive numerical simulations were presented to validate the theoretical results and optimization solutions (including the efficiency of the approximation of the unknown disturbance) for the dynamic pricing and production management strategy of an uncertain stochastic inventory system against volatile markets. The performance of the proposed method was analyzed under different stock level conditions, which highlighted the importance of keeping the inventory levels at an optimal range to ensure the profitability of business operations. This management strategy can assist a business with solutions for inventory policies while supporting decision-making processes to facilitate coping with production management disruptions.<\/jats:p>","DOI":"10.3233\/jifs-222804","type":"journal-article","created":{"date-parts":[[2023,1,31]],"date-time":"2023-01-31T11:51:42Z","timestamp":1675165902000},"page":"6609-6629","source":"Crossref","is-referenced-by-count":3,"title":["Intelligent decision support tool for optimizing stochastic inventory systems under uncertainty"],"prefix":"10.1177","volume":"44","author":[{"given":"Le Ngoc Bao","family":"Long","sequence":"first","affiliation":[{"name":"Department of Logistics, Korea Maritime and Ocean University, Busan, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hwan-Seong","family":"Kim","sequence":"additional","affiliation":[{"name":"Department of Logistics, Korea Maritime and Ocean University, Busan, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Truong Ngoc","family":"Cuong","sequence":"additional","affiliation":[{"name":"Department of Logistics, Korea Maritime and Ocean University, Busan, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sam-Sang","family":"You","sequence":"additional","affiliation":[{"name":"Division of Mechanical Engineering, Korea Maritime and Ocean University, Busan, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","reference":[{"issue":"3","key":"10.3233\/JIFS-222804_ref1","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1111\/j.1937-5956.2009.01096.x","article-title":"Optimization and coordination of fresh product supply chains with freshness-keeping effort","volume":"19","author":"Cai","year":"2010","journal-title":"Production and Operations Management"},{"key":"10.3233\/JIFS-222804_ref2","doi-asserted-by":"crossref","unstructured":"Yang Y. , Chi H. , Zhou W. , Fan T. and Piramuthu S. , Deterioration control decision support for perishable inventory management. 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