## 6 Industrial Application of the Developed Approach
### Application of Step 2: Solution Space Planning and Control  
The solution space planning and control is based on a multiplication procedure of sub-solution space alternatives to generate a comprehensive experiment design. This procedure is depicted in Figure 8.  
A separate DoE is required to vary the design parameters for each sub-solution space. Then, all experiment designs are crossed to generate a comprehensive experiment design. Within this procedure, some sub-solution spaces logically build on each other, as described in Figure 8. The procedure combines structural and parameter variations. Hence, a single simulation model is necessary for each network structure alternative. The introduced levels of customer-supplier relationships can be used to derive different network structure alternatives on an operational level, as shown in Figure 9. First, the number of production lines is varied for each _Level_1_ customer-supplier relationship. Then, the _Level_2_ customer-supplier relationships are used to build alternative network  
Figure 8: Multiplication procedure of sub-solution space alternatives to generate the experiment design. All solution space alternatives are constructed based on the network structure alternatives. The product mix alternatives are implicitly part of the capacity framework alternatives. Figure 7: Application results of step 1: Solution space structuring. solutions based on the decision of whether a supplier production line is linked to a customer production line in a 1:n or 1:1 manner. For this industrial application, only the number of the _rotor_ and _stator_ lines is varied for either one or two lines (_SC03_). The number of all other components/products production lines is preset (_SC05_, _SC01_). Moreover, there is a warehouse between the customer and the supplier for each _Level_1_ customer-supplier relationship (_SC07_). In addition, all _Level_2_ customer-supplier relationships are preset to be 1:n (_SC07_). This leads to four network structure alternatives being considered for industrial applications. Next, capacity framework alternatives are generated based on the procedure depicted in Figure 10. Different planning decisions must be made for each _Level_2_ (between production lines) customer-supplier relationship. The variant strategy deals with the variant flexibility of a production line, i.e., which variant can technically be produced by the production line. For the industrial application, only two options are considered: First, if only one line for a component/product exists, the variant strategy is full flexibility. Second, if there are only two lines for a component/product, the variant strategy is full flexibility for one line and high runner for the other line (_SC06_). As a result, the variant strategy does not create alternatives in this industrial application. For each _Level_1_ customer-supplier relationship, the operating model describes how a customer-supplier relationship is operated based on the degrees of freedom of _max. output production line_ and _shift model_. For industrial applications, the following two operating models are considered. First, the synchronous operation of the customer and supplier production lines means that the output/demand of the lines is synchronized for a certain period of time. In this industrial application, synchronous means that both lines operate the same number of shifts per week, and the max. output of each line is potentially reduced to balance the customer line demand and the supplier line supply on a weekly basis. In contrast, asynchronous in this industrial application means that both lines operate at the max. output. On a weekly basis, this means that both lines could potentially be operated for different numbers of shifts per week. For the industrial application, only the operating  
Figure 10: Procedure to derive capacity framework alternatives based on the product-mix-sub-solution space. Figure 9: Procedure to derive network structure alternatives.