journal article·2024-08-01Open access

Identical Parallel Machine Scheduling Problem with Additional Resources and Partial Confirmed Orders in Make-to-Stock Strategy

Yiyo Kuo, Dong-Xuan Li

Applied Sciences· Volume 14· Issue 15

Abstract

This research deals with the parallel machine scheduling problem for identical machines that need additional operational resources during the changeover. The production strategy is mainly based on make-to-stock. When the current inventory is less than the quantity of the new order, the corresponding products will be scheduled for production in predetermined production batches that are larger than the quantity of the order. Because the additional resources are limited, batch splitting, which increases the number of changeovers, is not permitted. The objective is to minimize both the makespan and total tardiness. A two-phase methodology is proposed. In the first phase, a mixed-integer program is developed to minimize the makespan. The resulting minimal makespan becomes the constraint in the second phase. An extended mixed-integer program is then developed to minimize the total tardiness. A case study of a plastic pallet manufacturing company is introduced. The experimental results show that the proposed methodology can minimize the makespan and total tardiness efficiently. Moreover, it also shows the promise of the proposed methodology for solving practical applications.
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Research context

OpenAlex topics: Scheduling and Optimization Algorithms · Assembly Line Balancing Optimization · Advanced Manufacturing and Logistics Optimization

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Industrial Engineering and Management, Ming Chi University of Technology, New Taipei City 243, Taiwan

Funding

National Science and Technology Council of Taiwan

References (20)

Show source-provided references
1. Minimisation of total tardiness for identical parallel machine scheduling using genetic algorithm10.1007/s12046-016-0575-7 ↗
2. An accurate and robust genetic algorithm to minimize the total tardiness in parallel machine scheduling problems
3. An exact algorithm for the identical parallel machine scheduling problem10.1016/S0377-2217(02)00726-9 ↗
4. Parallel machine scheduling with additional resources: Notation, classification, models and solution methods10.1016/j.ejor.2013.02.042 ↗
5. A particle swarm optimization for a fuzzy multi-objective unrelated parallel machines scheduling problem10.1016/j.asoc.2013.07.029 ↗
6. Resource-constrained unrelated parallel machine scheduling problem with sequence dependent setup times, precedence constraints and machine eligibility restrictions10.1016/j.cie.2016.05.020 ↗
7. Models and matheuristics for the unrelated parallel machine scheduling problem with additional resources10.1016/j.ejor.2017.01.002 ↗
8. Modeling and solving static m identical parallel machines scheduling problem with a common server and sequence dependent setup times10.1016/j.cie.2017.02.013 ↗
9. A collaborative multiobjective fruit fly optimization algorithm for the resource constrained unrelated parallel machine green scheduling problem10.1109/TSMC.2016.2616347 ↗
10. Approximate and branch-and-bound algorithms for the parallel machine scheduling problem with a single server
11. MIP models and a matheuristic algorithm for an identical parallel machine scheduling problem under multiple copies of shared resources constraints10.1007/s11750-018-00494-x ↗
12. Iterative job splitting algorithms for parallel machine scheduling with job splitting and setup resource constraints10.1080/01605682.2019.1700191 ↗
13. GRASP algorithms for the unrelated parallel machines scheduling problem with additional resources during processing and setups10.1080/00207543.2022.2121869 ↗
14. Pinedo, M. (1995). Scheduling: Theory, Algorithms, and Systems, Springer.
15. Optimizing fuzzy makespan and tardiness for unrelated parallel machine scheduling with archived metaheuristics10.1007/s00170-011-3317-3 ↗
16. A bi-objective identical parallel machine scheduling problem with controllable processing times: A just-in-time approach10.1007/s00170-014-6461-8 ↗
17. A hybrid multi-objective evolutionary algorithm approach for handling sequence- and machine-dependent set-up times in unrelated parallel machine scheduling problem10.1007/s12046-017-0611-2 ↗
18. A multi-agent scheduling problem for two identical parallel machines to minimize total tardiness time and makespan10.1177/1687814018756103 ↗
19. (2020). LINGOLINGO User’s Guide, LINDO Systems Inc.
20. Least Slack Time Rate First: An Efficient Scheduling Algorithm for Pervasive Computing Environment