Many problems in manufacturing systems can be formulated via Markov stochastic
modeling. This paper gives a review and classification of timed models of manufacturing …

Advanced technologies (eg, distributed sensors, RFID, and auto-identification) can gather
processing information (eg, system status, uncertain machine breakdown, and uncertain job …

As manufacturers face the challenges of increasing global competition and energy saving
requirements, it is imperative to seek out opportunities to reduce energy waste and overall …

Mass customization has enabled smart manufacturing systems to develop reconfigurable
machines and fixtures to fulfill customized products with high process variety. Coupled with …

Incorporating the pros (increased market size) and cons (costs, delivery time, and channel
competition) associated with the online channel, this paper investigates whether or not a …

Reducing energy consumption in the energy-intensive production systems is of great
significance and attracts more and more attention. Although a lot of efforts have been …

This paper studies how a risk-averse firm determines promised delivery lead time and price
in a circumstance where the market demand depends not only on the selling price but also …

Production Lead Time\mbi (LT) is the average time a part spends in the system, being
processed or waiting for processing. In systems with unlimited buffers,\mbi LT may be orders …

This paper presents a case study of continuous productivity improvement of an automotive
parts production line using Internet of Everything (IoE) data for fault monitoring. Continuous …

Real time production performance evaluation plays a vital role in diagnosing manufacturing
system health status and achieving productivity improvements. However, most existing …