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Growing Science » International Journal of Industrial Engineering Computations » Sequential batching with minimum quantity commitment in N-level non-exclusive agglomerative hierarchical clustering structures

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International Journal of Industrial Engineering Computations

ISSN 1923-2934 (Online) - ISSN 1923-2926 (Print)
Quarterly Publication
Volume 11 Issue 3 pp. 317-340 , 2020

Sequential batching with minimum quantity commitment in N-level non-exclusive agglomerative hierarchical clustering structures Pages 317-340 Right click to download the paper Download PDF

Authors: Seung-Kil Lim

📋 Author Affiliations:
Seung-Kil Lim (Department of Industrial and Management Engineering, Sungkyul University, 400-10 Anyang-dong, Manan-gu, Anyang-city, Gyeonggi-do, South Korea)
doi 10.5267/j.ijiec.2020.3.001
Crossmark
2 Source: Scopus

🔑 Keywords: Sequential batching, Minimum quantity commitment, Non-exclusiveness, Agglomerative hierarchical clustering structure

Abstract: This study considers a sequential batching problem with a minimum quantity commitment (MQC) constraint in N-level non-exclusive agglomerative hierarchical clustering structures (AHCSs). In this problem, batches are created for item types included in clusters according to the sequence of the levels in a given AHCS such that the MQC constraint as well as the maximum and minimum batch size requirements are satisfied, simultaneously. The MQC constraint ensures that more items than a committed minimum quantity must be batched at a level before items not batched at the level are sent to the next level. We apply the MQC constraint to control effectively the degree of heterogeneity (DoH) in the batching results. We developed a sequential batching algorithm for minimizing the total processing cost of items using properties identified to find better solutions of large-sized practical problems. Results of computational experiments showed that the developed algorithm found very good solutions quickly and the heuristic algorithm could be used in various practical sequential batching problems with the MQC constraint such as input lot formations in semiconductor wafer fabrication facilities, determination of truckloads in delivery service industry, etc. Also, we found some meaningful insights that dense cluster, small batch size, and tight MQC constraint are effective in reducing the total processing cost. Additionally, small batch size with loose MQC constraint seem to be helpful to reduce the DoH in the batching results. Finally, we suggested that the density of cluster, batch size, and MQC tightness should be determined simultaneously because of interactions among these factors.

How to cite this paper
APA: Lim, S. (2020). Sequential batching with minimum quantity commitment in N-level non-exclusive agglomerative hierarchical clustering structures. International Journal of Industrial Engineering Computations, 11(3), 317-340.
Chicago/Turabian: Lim, S. 2020. "Sequential batching with minimum quantity commitment in N-level non-exclusive agglomerative hierarchical clustering structures." International Journal of Industrial Engineering Computations 11, no. 3 (2020): 317-340.
AMA: Lim, S. Sequential batching with minimum quantity commitment in N-level non-exclusive agglomerative hierarchical clustering structures. International Journal of Industrial Engineering Computations. 2020;11(3):317-340.

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Journal: International Journal of Industrial Engineering Computations | Year: 2020 | Volume: 11 | Issue: 3 | Views: 1471 | Reviews: 0

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