![]() selecting representative days when the operations are supposed to be ‘normal’ an alternative is to select ‘extreme days’ if they have an important impact on the overall performance of the organisation.morning, afternoon, night or week, week-end) ![]() selecting the different ‘teams’ if the operations are organised with several shifts (e.g.The ‘when’ can be split in several categories: production line A, B, C for the production electrical, mechanical…for the maintenance). For example, in a production plant, we may want to analyse the ‘production’ area and the ‘maintenance’ area, which may also be subdivided (e.g. The ‘where’ can be a functional or a physical area or a combination of both. Therefore, there is always the need to take the best ‘sample’, which is a mix of the five criteria. The major driver to define these five criteria is the representativity of the observations since, by nature, it is very difficult to get a good Job Observation representativity without spending a considerable effort. Step 3: Define where, when, how long, how many and who The impact of these four levels on the DILO process will be described in the following next steps. Level 4: Though the Job Observation exercise isn’t fit for full representativity, you may want to get as much representativity as possible.Level 3: Identify as precisely as possible the NVA activities and whenever possible their root causes.Level 2: Roughly evaluate the proportion of Value-Add (VA) vs.Level 1: Get an understanding of ‘real life’ activities, with examples and interesting stories no quantification.We have defined four ‘levels’ of objective related to the quantification importance: However, the level of quantification and details needed for the second output has a significant impact on the overall observation process it must be clearly defined to execute the right Job Observation in the right way. The first is the easiest and minimum output coming from a Job Observation it is almost a given. ![]()
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