e-journal
Analysis of Multiproduct Manufacturing Systems With Homogeneous Exponential Machines
This paper is devoted to modeling and analysis ofmultiproduct manufacturing systems with homogeneous exponential machines and finite buffers. In such systems, each machine processes multiple product types with different speeds, but the processing time for each product type is the same on all machines.
Buffers are finite, shared for all products. Analytical methods to evaluate the system performance are developed, and system-theoretic properties are investigated. It is shown from numerical experiments
that such a method has a high accuracy in performance evaluation. To improve the performance of such systems, bottleneck analysis is carried out to identify the machine and/or product whose improvement will lead to the largest improvement in system throughput.
Note to Practitioners: Manufacturing systems are becoming more and more flexible. Many manufacturing systems can make multiple products on the same production line. Analyzing the performance of such systems is of significant importance for system design, control, and improvement. In many multiproduct systems,
machines are unreliable and may have different processing rates for different products, and the buffers are finite and shared for all types of products. However, the current literature does not provide effective method to analyze the performance of such systems. This paper presents an analytical method by aggregating different product types into a virtual one and approximating line performance recursively. In addition, bottleneck analysis is introduced to identify the bottleneck machine and product impeding the system throughput in the strongest manner through indicators based on the data collected on the factory floor. Such a method provides a quantitative tool for production engineers and managers to design, operate, and improve flexible manufacturing systems.
Index Terms—Bottleneck, exponential reliability model, homogenous, multiple products, throughput.
Tidak ada salinan data
Tidak tersedia versi lain