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AN EXPERIMENTAL MODEL FOR INVESTIGATING THE SENSITIVITY OF JOB SHOP PERFORMANCE TO JOB RELEASE TIME DISTRIBUTION PARAMETERS
Author(s) -
MELNYK STEVEN A.,
DENZLER DAVID R.,
MAGNAN GREGORY L.,
FREDENDALL LAWRENCE
Publication year - 1994
Publication title -
production and operations management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.279
H-Index - 110
eISSN - 1937-5956
pISSN - 1059-1478
DOI - 10.1111/j.1937-5956.1994.tb00110.x
Subject(s) - job shop , factorial experiment , variance (accounting) , job performance , distribution (mathematics) , work (physics) , affect (linguistics) , job design , sensitivity (control systems) , computer science , business , operations management , job satisfaction , psychology , statistics , mathematics , flow shop scheduling , job shop scheduling , economics , engineering , social psychology , mechanical engineering , mathematical analysis , operating system , schedule , accounting , communication , electronic engineering
Work flows in a job shop are influenced by the load per release and time interval between release factors. We focus on the latter factor, job release times. Building on Elvers' work, this study evaluates the impact of different job release time distributions on shop performance. Using a computer simulation of a random job shop and a full factorial experimental design, we demonstrate that the type of distribution does affect performance–a finding consistent with results from job shops characterized by good shop floor control practices. These findings are explained by examining the shape and variance traits of the underlying job release time distributions.