השוואת שיטות
סקרו את השיטות שבחרתם זו לצד זו; שורות שבהן יש הבדל מודגשות.
| חוק ליטל (L = λW)× | מיפוי זרם הערך (VSM)× | |
|---|---|---|
| תחום≠ | חקר ביצועים | ניהול איכות |
| משפחה≠ | Regression model | Process / pipeline |
| שנת המקור≠ | 1961 | 1999 |
| הוגה השיטה≠ | John D. C. Little | Mike Rother & John Shook |
| סוג≠ | Exact queueing identity | Visual process analysis tool |
| מקור מכונן≠ | Little, J. D. C. (1961). A proof for the queuing formula: L = λW. Operations Research, 9(3), 383–387. DOI ↗ | Rother, M., & Shook, J. (1999). Learning to See: Value Stream Mapping to Add Value and Eliminate Muda. Lean Enterprise Institute. ISBN: 978-0-9667843-0-5 |
| כינויים | L = λW Theorem, Little's Theorem, Little's Result, Little Yasası | VSM, Material and Information Flow Mapping, Lean Flow Mapping, Değer Akış Haritalama |
| קשורות | 3 | 3 |
| תקציר≠ | Little's Law is a fundamental theorem in queueing theory that relates the long-run average number of items in a stable system (L) to the long-run average arrival rate (λ) and the long-run average time an item spends in the system (W), expressed as L = λW. Introduced and rigorously proved by John D. C. Little in 1961, the law holds for virtually any stable stochastic system, requiring no assumptions about arrival distributions, service distributions, or queue disciplines. | Value Stream Mapping (VSM) is a lean management technique used to visualize, analyze, and improve the flow of materials and information required to bring a product or service from raw input to customer delivery. Introduced by Mike Rother and John Shook in their 1999 workbook Learning to See, VSM draws on the Toyota Production System tradition to expose waste, delays, and non-value-adding activities across the entire production value stream. |
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