Manufacturing systems rarely perform exactly as expected and predicted. Unexpected events, such as order changes, equipment failures and product defects, affect the performance of the system and complicate decision-making. This volume is devoted to the development of analytical methods aiming at responding to variability in a way that limits its corrupting effects on system performance. The book includes fifteen novel chapters that mostly focus on the development and analysis of performance evaluation models of manufacturing systems using decomposition-based methods, Markovian and queuing analysis, simulation, and inventory control approaches. They are organized into four distinct sections to reflect their shared viewpoints: factory design, unreliable production lines, queuing network models, production planning and assembly.In this paper we consider closed loop two-echelon repairable item systems with repair facilities both at a number of local service centers (called ... and propose a special near-product-form solution that provides excellent approximations of relevant performance measures. The depot repair shop is modeled as a server with state-dependent service rates, of which the parameters follow from an applicationanbsp;...
|Title||:||Stochastic Modeling of Manufacturing Systems|
|Author||:||George Liberopoulos, Chrissoleon T. Papadopoulos, Barış Tan, James MacGregor Smith, Stanley B. Gershwin|
|Publisher||:||Springer Science & Business Media - 2005-12-12|