Many problems in manufacturing systems can be formulated via Markov stochastic modeling. This paper gives a review and classification of timed models of manufacturing …
The implementation of smart manufacturing devices in the manufacturing industry has provided an effective and intelligent way to monitor their facilities and thus control their …
The origins and history of the research work underlying this volume stem from a series of conferences which began in 1997 on the Island of Samos, Greece. In May of that year …
T Busert, A Fay - International Journal of Production Research, 2021 - Taylor & Francis
Manufacturing companies become more and more dependent on reliable information fr om the shop floor. This information represents the current state of the shop floor and is often the …
This paper calls for a change in paradigm in lot sizing and scheduling. Traditionally, a discrete time scale is chosen to model lot sizing and scheduling. As an alternative, the so …
A Seitz, M Grunow - International Journal of Production Research, 2017 - Taylor & Francis
Accurate order promising is a key requirement for customer satisfaction. Nevertheless, practitioners struggle with the reliability of the delivery dates they promise to customers …
A Seitz, R Akkerman, M Grunow - International Journal of …, 2022 - Taylor & Francis
When demands exceed capacities, suppliers allocate available supply to customers based on customer importance and advance demand information. The accuracy of advance …
G Liberopoulos - Handbook of stochastic models and analysis of …, 2013 - Springer
The last 2 decades have seen a surge in the literature related to pull control, kanban-type control, WIP control, and more generally token-based production control systems. Not only …
Goal: Although card-based systems are a mature topic in literature, studies have focused mainly on how to optimize parameter of each system. The influential of human factors in the …