Title :
Using simulation to evaluate buffer adjustment methods in order promising
Author :
Grant, Hank ; Moses, Scott ; Goldsman, Dave
Author_Institution :
Ind. Eng., Oklahoma Univ., Norman, OK, USA
Abstract :
Much literature exists for scheduling production, but there is little work on establishing the due dates that serve as the inputs to developing a production schedule. We call this order promising. This paper explores a simulation-based approach for evaluating methods for promising the delivery of orders based on dynamic buffer adjustment coupled with various methods to forecast the amount of buffer required. The primary objective of the paper is to frame the problem and suggest methods of analysis. Preliminary computational results are also presented.
Keywords :
digital simulation; manufacturing data processing; production control; scheduling; supply chain management; buffer adjustment methods; computational results; manufacturing orders; order delivery; order promising; production scheduling; simulation; supply chain planning; Computational modeling; Industrial engineering; Job shop scheduling; Predictive models; Processor scheduling; Production systems; Queueing analysis; Real time systems; Systems engineering and theory; Transaction databases;
Conference_Titel :
Simulation Conference, 2002. Proceedings of the Winter
Print_ISBN :
0-7803-7614-5
DOI :
10.1109/WSC.2002.1166476