Showing 1 - 10 of 27
the predetermined period. We develop the GRASP algorithm for transporter scheduling, because parallel machine scheduling … analyse some aspects of the developed GRASP algorithm, and compare the developed GRASP algorithm with other heuristics for … developed GRASP algorithm outperforms other heuristics and is a promising heuristic for transporter scheduling. [Received 9 …
Persistent link: https://www.econbiz.de/10010670132
. We have developed different heuristics for solving the problem and we have combined them into a GRASP algorithm. The …
Persistent link: https://www.econbiz.de/10011130256
The massive amount of data collected from industrial processes has challenged researchers and practitioners, turning variable selection into a research topic of interest both in academia and in industry. The use of redundant, irrelevant, and noisy variables tends to compromise the performance of...
Persistent link: https://www.econbiz.de/10011093675
This paper aims to minimise the makespan of a set of identical batch processing machines in parallel. The batch processing machine can process a batch of jobs as long as the total size of all the jobs in the batch does not exceed its capacity. The processing time of the job and its size are...
Persistent link: https://www.econbiz.de/10005078473
This paper presents a new statistics-based evolutionary algorithm to improve the qualities of power supplies, in which operational costs and the stability of the power supply are optimised to provide a highly smooth but low-cost power supply service to customers. The proposed method is...
Persistent link: https://www.econbiz.de/10005078488
This paper chooses a supply chain which involves multiple supply links as the studied object. In each supply link, we consider an integrated scheduling problem in which a set of identical jobs are first processed on a single machine, and then batch delivered to a customer by a transporter. Each...
Persistent link: https://www.econbiz.de/10010722757
The fuzzy C-means (FCM) algorithm is a commonly used fuzzy clustering method which conducts data clustering by randomly selecting initial centroids. With larger data size or attribute dimensions, clustering results may be affected and more repetitive computations are required. To compensate the...
Persistent link: https://www.econbiz.de/10010667472
In the analytic hierarchy process (AHP), Saaty's consistency index is performed to ensure that the preference information, provided in an individual judgement matrix, is neither random nor illogical. Based on the extension of Saaty's consistency index, this paper proposes a consensus index to...
Persistent link: https://www.econbiz.de/10010676313
In this study, we deal with a k-stage hybrid flow shop scheduling problem under availability constraints (HFSPAC). In such a problem, machines are not continuously available due to preventive maintenance tasks. Our study aims to provide a good approximate solution to this specific problem with...
Persistent link: https://www.econbiz.de/10008755639
Predicting job completion time is an important but difficult task to a semiconductor fabrication plant. To further enhance its effectiveness, an evolving hybrid neural approach is proposed in this study. To evaluate the effectiveness of the proposed approach, Production Simulation (PS) is also...
Persistent link: https://www.econbiz.de/10008755642