Title :
Rough Production Capability Estimation for Make-to-Order Under Limited Manufacturing Resources Constraints
Author :
Cao, Yan ; Yao, Hui ; Yang, Lina ; Yang, Yanli
Author_Institution :
Sch. of Mechatron. Eng., Xi´´an Technol. Univ., Xi´´an, China
Abstract :
With the rapid development of global economics in recent years, buyerpsilas market is greatly expanded where consumerpsilas demand becomes diversified and individual. So the management and control problems of Make-to-Order (MTO) production enterprises are paid more and more attention. In the paper, the problem of rough capability estimation for the Make to Order enterprises is described and discussed that deal with production orders of different delivery dates based on limited manufacturing resources. According to the capabilities and delivery dates that new orders require, a total capability bill and corresponding calculating methods of various capabilities are established to solve the rough capability estimation problem. The approach can be used to rapidly judge whether an enterprise has the capabilities needed to finish production orders on time, and estimate new orderpsilas delivery date. The information can support a negotiator to make correct decisions on the delivery dates of coming production orders when bargaining with users. A rough production capability estimation system for Make-to-Order enterprises under limited manufacturing resources constraints is developed on Delphi 7 platform and is validated by an instance.
Keywords :
estimation theory; industrial economics; master production scheduling; negotiation support systems; MTO production enterprise; Make to Order production enterprise; control problem; decision making; diversified consumer demand; global economics rapid development; limited manufacturing resource; limited manufacturing resources constraint; management problem; negotiator support; rough production capability estimation; total capability bill; user bargaining; Computer aided manufacturing; Computer science; Educational institutions; Information technology; Mathematical model; Mathematical programming; Mechatronics; Production systems; Pulp manufacturing; Tellurium; Make-to-Order; capability estimation; delivery date; rough capability; system development;
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Print_ISBN :
978-0-7695-3688-0
DOI :
10.1109/ITCS.2009.55