WEBVTT 1 00:00:07.290 --> 00:00:09.840 We have this incredible aspiration at Bayer 2 00:00:09.840 --> 00:00:14.310 to not only provide the perfect product to our consumers, 3 00:00:14.310 --> 00:00:18.390 to have it always available, but to also make it affordable. 4 00:00:18.390 --> 00:00:22.320 And that can only be done if you are resilient, 5 00:00:22.320 --> 00:00:24.450 if you are agile, 6 00:00:24.450 --> 00:00:27.000 and that you also understand why you're doing this. 7 00:00:28.680 --> 00:00:31.170 So first, we did a deep analysis about our data, 8 00:00:31.170 --> 00:00:33.570 and we made a baseline doing a benchmark 9 00:00:33.570 --> 00:00:36.210 with other companies comparable to us here. 10 00:00:36.210 --> 00:00:39.300 And then we used those data and the comparison 11 00:00:39.300 --> 00:00:42.540 to figure out which areas we could actually improve on. 12 00:00:42.540 --> 00:00:46.410 So after we've closed the data analysis phase, 13 00:00:46.410 --> 00:00:49.680 we performed several workshops directly on the shop floor, 14 00:00:49.680 --> 00:00:52.290 and as a result of these workshops, 15 00:00:52.290 --> 00:00:56.670 we developed several ideas how to improve OE and run time, 16 00:00:56.670 --> 00:00:58.800 and these are also the main points 17 00:00:58.800 --> 00:00:59.900 that we follow up now. 18 00:01:01.020 --> 00:01:05.790 The main improvement area we identified is something 19 00:01:05.790 --> 00:01:08.610 that is very important for me as a head of production, 20 00:01:08.610 --> 00:01:12.450 which is the constant flow of product through the plant, 21 00:01:12.450 --> 00:01:16.860 and during our journey, we identified a couple 22 00:01:16.860 --> 00:01:19.200 of bottlenecks and figured out ways 23 00:01:19.200 --> 00:01:21.030 on how to improve around them, 24 00:01:21.030 --> 00:01:24.690 and we even went so far as to reconsider our batch sizes 25 00:01:24.690 --> 00:01:28.350 to improve flow, which I think is very impressive. 26 00:01:28.350 --> 00:01:31.230 As of day one, BCG team was on the ground, 27 00:01:31.230 --> 00:01:34.500 and the team was with us on the floor together 28 00:01:34.500 --> 00:01:36.660 with operators, with the overalls, 29 00:01:36.660 --> 00:01:39.600 and that created a big difference, in my opinion. 30 00:01:39.600 --> 00:01:41.820 What I really like is there was no difference 31 00:01:41.820 --> 00:01:45.630 between a person from BCG or our own team. 32 00:01:45.630 --> 00:01:46.770 It was just one team. 33 00:01:46.770 --> 00:01:50.490 It was just one goal and one approach, 34 00:01:50.490 --> 00:01:52.080 and at the end, all fact based, 35 00:01:52.080 --> 00:01:55.560 all data-driven solutions that came out, 36 00:01:55.560 --> 00:02:00.240 and we understood now where we need to be 37 00:02:00.240 --> 00:02:03.300 to become the best consumer health company. 38 00:02:03.300 --> 00:02:06.630 As a result of the work, we have generated, yes, 39 00:02:06.630 --> 00:02:09.690 some efficiency improvements, 10 to 15%, 40 00:02:09.690 --> 00:02:13.920 but more importantly, we have also converted those things 41 00:02:13.920 --> 00:02:18.300 into behaviors, into systemic improvements that we have 42 00:02:18.300 --> 00:02:21.090 to take it to our program and make it applicable 43 00:02:21.090 --> 00:02:23.760 in all the other sites in all the other lines. 44 00:02:23.760 --> 00:02:25.740 The impact for Bitterfeld was not only 45 00:02:25.740 --> 00:02:29.010 that we were able to really find the levers 46 00:02:29.010 --> 00:02:32.220 and to deliver the savings in the future, 47 00:02:32.220 --> 00:02:36.120 but we also learned to really question our work in general, 48 00:02:36.120 --> 00:02:38.580 so how we work at the site, and this is really 49 00:02:38.580 --> 00:02:41.880 what has a really, really big impact on how we see ourself 50 00:02:41.880 --> 00:02:44.940 and how we see that we can be much more efficient 51 00:02:44.940 --> 00:02:46.770 than we have been in the past. 52 00:02:46.770 --> 00:02:49.440 And we also showed how we 53 00:02:49.440 --> 00:02:53.970 can then make ourselves enabled to drive it forward. 54 00:02:53.970 --> 00:02:57.033 So we are not now depending on someone. 55 00:02:57.904 --> 00:02:59.970 We learned how to take it from there 56 00:02:59.970 --> 00:03:03.030 and drive it ourselves in all parts of our business. 57 00:03:03.030 --> 00:03:04.410 And the other element, of course, 58 00:03:04.410 --> 00:03:07.050 that I'm really much proud of is also to showcase 59 00:03:07.050 --> 00:03:10.320 within our own organization at Bayer how we are doing it 60 00:03:10.320 --> 00:03:12.330 and what was the resultant so that we 61 00:03:12.330 --> 00:03:14.850 can also scale it in that perspective. 62 00:03:14.850 --> 00:03:17.760 For us, what is next is we want to really work 63 00:03:17.760 --> 00:03:20.640 with our organization to make sure that we grow 64 00:03:20.640 --> 00:03:22.623 in a continuous improvement mindset, 65 00:03:23.700 --> 00:03:25.140 that we grow our people, 66 00:03:25.140 --> 00:03:27.453 and that we make this approach sustainable.