© Association of Academic Researchers and Faculties (AARF) A Monthly Double-Blind Peer Reviewed Refereed Open Access International e-Journal - Included in the International Serial Directories. Page | 21 AUTOMATION OF OPTIMAL PRODUCTION SCHEDULES FOR A CERTAIN CLASS OF DETERMINISTIC INVENTORY PROBLEMS USING DYNAMIC PROGRAMMING 1 Ukwu, Chukwunenye& 2 Tanko, Ishaya 1 Department of Mathematics, University of Jos, P.M.B 2084, Jos, Plateau State, Nigeria. 2 Department of Computer Science, University of Jos, P.M.B 2084, Jos, Plateau State, Nigeria . ABSTRACT This research article conceptualized, formulated and designed Excel solution templates and corresponding exposition for optimal production schedules for a certain class of deterministic inventory problems. The article also provided illustrative examples which demonstrated the efficiency, utility and processing power of the solution templates. The deployment of the solution templates circumvents the inherent tedious, and prohibitive manual computations associated with dynamic programming formulations and recursions and may be optimally appropriated for sensitivity analyses on each model. Keywords: Automation, Deterministic, Dynamic programming recursions, Excel, Inventory, Optimal production schedules, Solution Templates. 1. INTRODUCTION The need for automation of processesis imperative; this is especially so of optimal policy prescriptionsof dynamic programming-based outputs with resulting tremendous savings in time, cost and energy. Consequently, any desired levels of sensitivity analyses can be easily undertaken and accomplished with great rapidity; needless to say that long horizon lengths can be assigned henceforth in such problems that hitherto could hardly be contemplated due to the „curse of dimensionality‟ of dynamic programming recursions. Ukwu [1,2] designed and implemented Excel solution templates for optimal investment strategies and the corresponding optimal rewards, for the largest class of certain probabilistic dynamic investment International Research Journal of Mathematics, Engineering and IT ISSN: (2348-9766) Association of Academic Researchers and Faculties (AARF) Impact Factor- 5.489 Volume 7, Issue 2, February 2020 Website- www.aarf.asia , Email : editor@aarf.asia , editoraarf@gmail.com