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T0= raw process time Little’s Law gives three different scenarios (best case, worst case, and practical worst case) to be compared with the actual values of a company. However, Little’s law does not provide information of how to improve the line. For the project, the actual values that each company or case study had were compared with the practical worst case of Little’s Law to predict the system behavior: 1) the system is working efficiently, or 2) the system is not working efficiently. The worst practical case was calculated by the use of the following formula: THpwc w rb W0 w1 Equation V. Throughput Practical Worst Case Formula Where, THpwc= Throughput practical worst case w= actual WIP W0= critical WIP In lean manufacturing, a reduction in lead times, leads to a reduction in cost performance, an increase in earnings, and an increased competitive advantage for the industry (Apel et. al 2007). One way to reduce lead time is by improving the operation that is the bottleneck. Using Little’s Law it was determined that drying was the bottleneck operation. One way to improve the drying process is by changing conventional drying to a faster technology like vacuum drying. To see the impact that vacuum drying technology could have in the line production, a simulation model was used. 3.4 Impact of Vacuum Drying on Throughput, WIP, and Cycle times. The third objective of the project was to determine how vacuum drying can impact the WIP, TH and CT of a flooring manufacturer. The same two companies (C and D) selected for the case studies mentioned in section 3.2 of the feasibility analysis were used to evaluate the impact of using vacuum drying instead of conventional drying in their production. First, a value stream 53PDF Image | Impact of Vacuum-Drying on Efficiency of Hardwood Products
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