Utveckling av konkurrenskraftiga produktionssystem genom cykeltidshantering
Bibliographic record
Abstract
Theoretical findings show that only 25 percent of manufacturing companies in major industrialized countries like the US, Canada and Germany use process and cycle time management to streamline operations. In this thesis, the main purpose is to clarify the importance of continuous measurements and analyzes of cycle times, by highlighting different relations between cycle time management and the performance of a production system. Furthermore, the purpose is to show how updated cycle times can be achieved and maintained in the long term. The purpose can be explained by the fact that today it is important for a high level of competitiveness in the manufacturing industry to remain in the global market. Previous research shows that performance requirements: quality, cost, delivery capability and flexibility are the most important performance requirements and have a significant impact on corporate competitiveness. The thesis shows that cycle time management is linked to these four performance requirements. As a guide to the research study, questions were formulated: Question 1: What wastes can be detected by cycle time analysis, and how do these affect the performance of a production system? Question 2: How should manufacturing companies design processes that will improve the handling of cycle times? To accomplish the purpose, theory was gathered through a literature study. Parallel with the literature study, a case study was conducted. The case study was conducted at a Swedish global manufacturing company. At the company a number of unstructured interviews and a structured interview were conducted. Observations and meetings have also been conducted. The case study included a cycle-time analysis of the production processes in the production line, where the focus was on cycle time sampling and analysis of disturbances. Data collected by the case company was also provided. This data, for example, related to standard times and quantities. The case company has gone from functional layout to process layout. However, it appears in the study that the production line was not utilized appropriately, which meant that resource use was higher than planned. The study shows that continuous measurements of cycle times not only highlights incorrect cycle times, but also highlight disturbances and poor quality, which are not of value to the customer. Through the knowledge of errors and disturbances, a real cycle time can then be achieved. Which is of great importance, since cycle time is an important basic parameter in planning workforce and pricing to customers. In order for companies to successfully carry out continuous measurements and accurate analyzes, the study provides a model for process design. Keywords: Performance requirements, cycle time management, process design.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.025 | 0.012 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".