In　industries　such　as　aerospace　and　automotive,　drilling　many　holes　is　commonly　required　to　assemble　different　structures　where　machined　holes　need　to　comply　with　tight　geometric　tolerances.　Multi-spindle　drilling　using　a　poly-drill　head　is　an　industrial　hole-making　approach　that　allows　drilling　several　holes　simultaneously.　Optimizing　process　parameters　also　improves　machining　processes.　This　work　focuses　on　the　optimization　of　drilling　parameters　and　two　drilling　processes-namely,　one-shot　drilling　and　multi-hole　drilling-using　the　Taguchi　method.　Analysis　of　variance　and　regression　analysis　was　implemented　to　indicate　the　significance　of　drilling　parameters　and　their　impact　on　the　measured　responses　i.e.,　surface　roughness　and　hole　size.　From　the　Taguchi　optimization,　optimal　drilling　parameters　were　found　to　occur　at　a　low　cutting　speed　and　feed　rate　using　a　poly-drill　head.　Furthermore,　a　fuzzy　logic　approach　was　employed　to　predict　the　surface　roughness　and　hole　size.　It　was　found　that　the　fuzzy　measured　values　were　in　good　agreement　with　the　experimental　values;　therefore,　the　developed　models　can　be　effectively　used　to　predict　the　surface　roughness　and　hole　size　in　multi-hole　drilling.　Moreover,　confirmation　tests　were　performed　to　validate　that　the　Taguchi　optimized　levels　and　fuzzy　developed　models　effectively　represent　the　surface　roughness　and　hole　size.