Modified Resource-Constrained Project Scheduling to Minimize Idle Time for Banbury Mixing Process: A Case Study in the Tire Manufacturing Industry

Author:

Butrat Anan1ORCID,Supsomboon Srisawat1ORCID

Affiliation:

1. 1 The Sirindhorn International Thai-German Graduate School of Engineering , King Mongkut’s University of Technology North Bangkok

Abstract

Abstract The Banbury mixing process (BMP) is to supplies the specific characteristic compounds for the tire manufacturing process. Idle time in the BMP was a problem caused by the aging process between mixing steps and the limited space for processing, measured in pallets. In this study, the resource-constrained project scheduling model (RCPS) is modified in case of the objective function and the input value of resource constraint to minimize idle time (SST). The complete minimization (Cmax) is changed from minimizing the starting time of the last job to the starting time of all jobs. In addition, the non-limited resource is defined as the input for the space capacity to reduce the idle time. As the results, the SST can provide the schedule that make less 5 time periods of idle time. Moreover, when considering the relationship between mixing and aging, aging process that is scheduled from SST starts immediately comparison to Cmax that some of aging process are not. Furthermore, the effect of the quantity of pallets was also examined. Although the non-limited resource does not make any delay to the schedule but the limited quantity is not. When pallets are limited, aging jobs were significantly impacted, with the last aging pallet being delayed. To reduce delays, it prepares an adequate supply of pallets that is close to or equal to its requirement that is defined by the non-limited resource. Further research combining the scheduling of the BMP with the tire manufacturing process and more techniques to modify RCPS are applied.

Publisher

Walter de Gruyter GmbH

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Information Systems

Reference30 articles.

1. F. Habibi, F. Barzinpour, S.J. Sadjadi, “Resource-constrained project scheduling problem: review of past and recent developments,” Journal of Project Management, vol. 3, pp. 55-88, Jan. 2018.

2. S.B. Issa, Y. Tu, “A survey in the resource-constrained project and multi-project scheduling problems,” Journal of Project Management, vol. 5, pp. 117-138, Jan. 2020.

3. M.G. Sánchez, E. Lalla-Ruiz, A.F. Gil, C. Castro, “Resource-constrained multi-project scheduling problem: A survey,” European Journal of Operational Research, vol. 1, pp. 1-19, Sep. 2022.

4. H.D. Ardakani, A. Dehghani, “Multi-objective optimization of multi–mode resource-constrained project selection and scheduling problem considering resource leveling and time-varying resource usage,” International Journal of Supply and Operations Management, vol. 9, pp. 34-55, Jan. 2022.

5. U. Satic, P. Jacko, C. Kirkbride, “Performance evaluation of scheduling policies for the dynamic and stochastic resource-constrained multi-project scheduling problem,” International Journal of Production Research, vol. 60, pp. 1411-1423, Jan. 2022.

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