Flexible Manufacturing Systems: A Review of Analytical Models

Abstract

This paper reviews recent work on the development of analytical models of Flexible Manufacturing Systems (FMSs). The contributions of each of the groups concerned with model development are summarized and an assessment is made of the strengths and weaknesses of its modelling approach. A number of directions in which models require extension are outlined, in particular the representation of such aspects of FMS operation as the tool delivery systems, the blocking phenomenon, the transient behavior and the differences between flexible machining systems and flexible assembly systems. Further work is also required on the structure of FMS control and the integration with plant production planning and control.flexible manufacturing system, production planning/control, analytical models

Integrated definition modeling and Taguchi analysis of flexible manufacturing systems: aircraft industry application

“…Gatelmand [30] used the different flexible manufacturing for machining and assembling in the following countries are reviewed. Buzacott and Yao [31] researched the analytical models for FMS in their survey. To design the FMS with Petri nets, review of Moore and Gupta [32] can be examined.…”

Investigating the Effectiveness of Variance Reduction Techniques in Manufacturing, Call Center and Cross-Docking Discrete Event Simulation Models

“…It is common that one of the activities during a simulation study is the statistical analysis of output performance measures. Since random samples from input probability distributions are used to model events in a manufacturing simulation model through time, basic simulation output data (e.g., average times in system of parts) or an estimated performance measure computed from them (e.g., average time in system from the entire simulation run) are also characterized by randomness (Buzacott and Yao 1986). Another source of manufacturing simulation model randomness which deserves a mention is unscheduled random downtime and machine failure which is also modeled using probability distributions.…”

“…Many systems in areas such as manufacturing, warehousing and distribution can sometimes be too complex to model analytically; in particular, Just in Time (JIT) warehousing systems such as cross-docking can present such difficulty (Buzacott and Yao 1986). This is because cross-docking distribution systems operate processes which exhibit an inherent random behavior which can potentially affect its overall expected performance.…”

Design, planning, scheduling, and control problems of flexible manufacturing systems

“…Buzacott and Yao [3] review analytic models, in particular queueing networks. Suri [6] overviews some of these models in a companion paper in this volume.…”