| Article ID | Journal | Published Year | Pages | File Type | 
|---|---|---|---|---|
| 4963585 | Applied Soft Computing | 2016 | 13 Pages | 
Abstract
												This paper addresses cell part scheduling (CPS) problem. In this problem, parts may need to visit machines in different cells with consideration Inter-cell transportation time. The processing route of parts can be flexible. The objective is to minimize the overall process make-span. An integer nonlinear programming (INLP) model is formulated to determine the schedule scheme of all parts. An auction-based heuristic approach is proposed to solve it, which focuses on dealing with cooperation between different cells. In this approach, each cell can act as an auctioneer or a bidder. In an auction, it contains call for auction, bid construction, modify bids and winner announcement. A reference matrix is also applied in the auction to guarantee parts to finish as early as possible. Numerical experiments were conducted to test the auction-based approach. The results demonstrate the effectiveness, sensitivity and stability of the proposed auction-based approach, especially suitable for instances in large scale within a short calculating time.
											Keywords
												
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													Physical Sciences and Engineering
													Computer Science
													Computer Science Applications
												
											Authors
												Jiafu Tang, Chengkuan Zeng, Zhendong Pan, 
											