{"id":110,"date":"2009-06-05T11:12:54","date_gmt":"2009-06-05T16:12:54","guid":{"rendered":"http:\/\/lyle.smu.edu\/emis\/design\/?p=110"},"modified":"2009-06-05T11:12:54","modified_gmt":"2009-06-05T16:12:54","slug":"nasa-production-center-process-improvements","status":"publish","type":"post","link":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/2009\/06\/05\/nasa-production-center-process-improvements\/","title":{"rendered":"NASA Production Center Process Improvements"},"content":{"rendered":"<p><strong>Client: National Aeronautics and Space\u00a0 Administration <\/strong><br \/>\nTeam:\u00a0 Chris Genda, Loan Ngoyen, Valerie Vlahos, John Williams<img loading=\"lazy\" decoding=\"async\" class=\"alignright size-thumbnail wp-image-401\" src=\"http:\/\/lyle.smu.edu\/emis\/design\/wp-content\/uploads\/space-shuttle-launch3a-150x150.jpg\" alt=\"\" width=\"150\" height=\"150\" \/><br \/>\nFaculty advisor: Dr. Richard Barr\u00a0\u00a0\u00a0\u00a0 Year: 1997<br \/>\nDocuments:\u00a0\u00a0\u00a0<a href=\"..\/..\/..\/%7Ebarr\/4395\/history\/reports\/2008\/RaytheonProcurementInventory.docx\"><\/a> <a href=\"http:\/\/lyle.smu.edu\/~barr\/4395\/history\/Presentations\/1997\/1997_02_Genda&amp;Ngoyen&amp;Vlahos&amp;WilliamsPresentation.pdf\" target=\"_blank\">Final presentation<\/a><\/p>\n<p style=\"text-align: justify;\">The present operations procedures used by the NASA Manufacturing Di\u00advision has room for improvement in the following areas: information accuracy within the INFISY system and tracking machine downtime, departmental com\u00admunication, job scheduling at each work center, and estimating job cost and completion time. Due to the combined errors and problems mentioned within the Division, several effects are obvious.<\/p>\n<p style=\"text-align: justify;\">The inaccurate use of the INFISY system has led to an incomplete historical data set, which has greatly affected the forecasting of completion times of jobs. This is apparent in the very large negative variances (actual-estimated time). The high percentages of those not logged out on INFISY have led to part mislocation. Job scheduling is diffi\u00adcult without tracking intermediate completion dates. Not monitoring machine down time leads to possible higher repair costs than sometimes purchasing a new machine. Under the current use and application of the INFISY software, job scheduling and forecasting are not optimized as needed. Addressing these issues gradually will improve the production operation.<!--more--><\/p>\n<p style=\"text-align: justify;\">We recommend that all Division members to properly use the INFISY software so that all data is accurately and completely collected. This is a temporary solution to modifying the existing system or switching to an optimizing system.<\/p>\n<p style=\"text-align: justify;\">This re\u00adport identifies possible solutions to the current situation. The data is compiled from interviews conducted with engineers, planners, technicians, and quality assurance; a ten month period of router sheets, a three month period of ma\u00adchine repair reports; and a Master Work Center Load document. All of this information is used to create statistical math models and graphs. These models include a Heuristic Job Schedule, an Estimated Part Forecast Method and an analysis of the Machine Shop Layout.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Client: National Aeronautics and Space\u00a0 Administration Team:\u00a0 Chris Genda, Loan Ngoyen, Valerie Vlahos, John Williams Faculty advisor: Dr. Richard Barr\u00a0\u00a0\u00a0\u00a0 Year: 1997 Documents:\u00a0\u00a0\u00a0 Final presentation The present operations procedures used by the NASA Manufacturing Di\u00advision has room for improvement in &hellip; <a href=\"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/2009\/06\/05\/nasa-production-center-process-improvements\/\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[51,54,17,23,26],"tags":[],"class_list":["post-110","post","type-post","status-publish","format-standard","hentry","category-forecasting","category-houston","category-presentation","category-scheduling","category-statistics"],"_links":{"self":[{"href":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/wp-json\/wp\/v2\/posts\/110"}],"collection":[{"href":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/wp-json\/wp\/v2\/comments?post=110"}],"version-history":[{"count":0,"href":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/wp-json\/wp\/v2\/posts\/110\/revisions"}],"wp:attachment":[{"href":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/wp-json\/wp\/v2\/media?parent=110"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/wp-json\/wp\/v2\/categories?post=110"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/s2.smu.edu\/emis\/design2017\/index.php\/wp-json\/wp\/v2\/tags?post=110"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}