Document Type
Article
Publication Date
1-1-2021
Journal / Book Title
International Journal of Industrial Engineering Computations
Abstract
A hybrid batch fabrication plan involving an outsourcing option is often established to deal with the in-house capacity constraint and/or meet timely demand with a reduced cycle time. Besides, the occurrences of unpredictable equipment malfunction and imperfect product quality should also be effectively managed during in-house fabrication to meet the production schedule and the required quality level. To address these concerns, we examine a hybrid economic production quantity (EPQ) problem with an unreliable machine and quality reassurance; wherein, an outside provider helps supply a portion of the batch at a requested timing and desirable quality, but at the price of a higher than in-house unit cost. Corrective action is performed immediately when a Poisson-distributed breakdown occurs. Once the equipment repairing task completes, the interrupted lot’s fabrication resumes. Random nonconforming products are identified, and the re-workable items among them are separated from the scraps. A rework task follows the regular process in each cycle at an extra cost. A portion of reworked items fails and are scrapped. A model portraying the problem’s characteristics is built, and an optimization methodology is utilized to find the optimal runtime solution to the problem. A numerical example reveals our result’s applicability, and specific managerial implications are suggested.
DOI
10.5267/j.ijiec.2021.4.001
MSU Digital Commons Citation
Chiu, Singa Wang; Wu, Hua Yao; Yeh, Tsu Ming; and Wang, Yunsen, "Solving a hybrid batch production problem with unreliable equipment and quality reassurance" (2021). Department of Accounting and Finance Faculty Scholarship and Creative Works. 174.
https://digitalcommons.montclair.edu/acctg-finance-facpubs/174
Published Citation
Chiu, S., Wu, H., Yeh, T & Wang, Y. (2021). Solving a hybrid batch production problem with unreliable equipment and quality reassurance.International Journal of Industrial Engineering Computations , 12(3), 235-248.