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Mathematics — 2025, Undergraduate
This study examined combinatorial counting techniques in scheduling and allocation problems. Representative problems involving permutations, combinations, and pigeonhole reasoning were formulated and solved, and the underlying combinatorial structures were analysed. The findings revealed that systematic counting produced correct enumerations and exposed feasibility constraints in allocation scenarios. The study observed that logical bookkeeping reduced counting errors. It recommends explicit combinatorial reasoning in operations planning.
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