TY - JFULL AU - Michael Grigutsch and Marco Kennemann and Peter Nyhuis PY - 2011/11/ TI - Optimal Measures in Production Developing an Universal Decision Supporter for Evaluating Measures in a Production T2 - International Journal of Industrial and Manufacturing Engineering SP - 2005 EP - 2009 VL - 5 SN - 1307-6892 UR - https://publications.waset.org/pdf/3620 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 58, 2011 N2 - Due to the recovering global economy, enterprises are increasingly focusing on logistics. Investing in logistic measures for a production generates a large potential for achieving a good starting point within a competitive field. Unlike during the global economic crisis, enterprises are now challenged with investing available capital to maximize profits. In order to be able to create an informed and quantifiably comprehensible basis for a decision, enterprises need an adequate model for logistically and monetarily evaluating measures in production. The Collaborate Research Centre 489 (SFB 489) at the Institute for Production Systems (IFA) developed a Logistic Information System which provides support in making decisions and is designed specifically for the forging industry. The aim of a project that has been applied for is to now transfer this process in order to develop a universal approach to logistically and monetarily evaluate measures in production. ER -