journal article·2022-03-26Open access

Impact of Unreliable Subcontracting on Production and Maintenance Planning Considering Quality Decline

Héctor Rivera-Gómez, Joselito Medina-Marin, Francisca Santana-Robles, Oscar Montaño-Arango, Irving Barragán-Vite, Gabriel Cisneros-Flores

Applied Sciences· Volume 12· Issue 7

Abstract

Manufacturing systems face several disturbances during production, such as sudden failures, defects, and unreliable subcontractors that reduce their production capacity. Currently, subcontracting represents an efficient alternative to support production decisions. The novelty of the study was the development of a new integrated model that properly coordinates production, subcontracting, and maintenances strategies in the context of stochastic uncertainty, quality deterioration, and random subcontracting availability. Such a set of characteristics has not been addressed before in the literature. A simulation–optimization approach was proposed to address such a stochastic model. A numerical case study was performed as an illustration of the approach and a comprehensive sensitivity analysis was performed to analyze the impact of several costs. Furthermore, the effect of the availability of the subcontractor and the producer was analyzed. The main finding of the study showed that the integrated model led to significant economic cost savings compared to other approaches that address such policies in isolation. The results also indicated that quality deterioration had a strong impact on the subcontracting rate and that the proposed joint control policy adequately coordinated these three key functions. The level of subcontracting participation was directly defined by its availability and the subcontracting cost.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Reliability and Maintenance Optimization · Quality and Supply Management · Management and Optimization Techniques

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

Affiliations

Academic Area of Engineering, Autonomous University of Hidalgo, Pachuca-Tulancingo Road km. 4.5, City of Knowledge, Mineral de la Reforma 42184, Mexico

Higher Education School Ciudad Sahagun, Autonomous University of Hidalgo, Sahagun-Otumba Road, Industrial Zone, Sahagun City 43998, Mexico

References (39)

Show source-provided references
1. Kouedeu, A.F., Kenné, J.P., and Songmene, V. (2011, January 15–17). Production, preventive and corrective maintenance planning in manufacturing systems under imperfect repairs. Proceedings of the 3rd International Workshop on Dependable Control of Discrete Systems, Saarbruecken, Germany.10.1109/DCDS.2011.5970319 ↗
2. Joint integrated production-maintenance policy with production plan smoothing through production rate control10.1016/j.jmsy.2016.12.013 ↗
3. Performance evaluation of a two-machine line with a finite buffer and condition-based maintenance10.1016/j.ress.2017.03.034 ↗
4. Joint production and maintenance optimization in flexible hybrid manufacturing-remanufacturing systems under age-dependent deterioration10.1016/j.ijpe.2019.04.023 ↗
5. Joint production and repair efficiency planning of a multiple deterioration system10.1007/s10696-018-9313-2 ↗
6. An optimal integrated lot sizing and maintenance strategy for multi-machines system with energy consumption10.1080/00207543.2019.1654630 ↗
7. Integrated production, sampling quality control and maintenance of deteriorating production systems with AOQL constraint10.1016/j.omega.2015.07.012 ↗
8. A cost minimization model for joint production and maintenance planning under quality constraints10.1080/00207543.2016.1201605 ↗
9. Integrated production, quality control and condition-based maintenance for imperfect production systems10.1016/j.ress.2018.03.025 ↗
10. Abubakar, A.S., Nyoungue, A., and Hajej, Z. (2020, January 14–17). Integrated production, maintenance and control chart of supply chain management under quality constraint. Proceedings of the 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Singapore.10.1109/IEEM45057.2020.9309985 ↗
11. Integrated production, maintenance and quality control policy for unreliable manufacturing systems under dynamic inspection10.1016/j.ijpe.2021.108140 ↗
12. Joint production preventive maintenance and dynamic inspection for a degrading manufacturing system10.1007/s00170-020-06325-3 ↗
13. Joint production and subcontracting planning of unreliable multi-facility multi-product production systems10.1016/j.omega.2014.07.007 ↗
14. Production and uncertain green subcontracting control for an unreliable manufacturing system facing emissions10.1007/s00170-015-7677-y ↗
15. Outsourcing optimization in two-echelon supply chain network under integrated production-maintenance constraints10.1007/s10845-016-1273-3 ↗
16. FPA method for optimal production planning under availability/degradation machine and subcontracting constraint10.1080/00207543.2016.1165879 ↗
17. Subcontracting strategies with production and maintenance policies for a manufacturing system subject to progressive deterioration10.1016/j.ijpe.2018.03.004 ↗
18. Risk analysis for lot-sizing and maintenance optimization problem under energy constraint with subcontractor solution10.1108/IJQRM-07-2019-0226 ↗
19. New dynamic heuristic for the optimization of opportunities to use new and remanufactured spare part in stochastic degradation context10.1007/s10845-014-0989-1 ↗
20. Maintenance policy optimization for multi-component systems considering degradation of components and imperfect maintenance actions10.1016/j.cie.2018.07.019 ↗
21. Production and replacement policies for a deteriorating manufacturing system under random demand and quality10.1016/j.ejor.2017.06.062 ↗
22. Production control of hybrid manufacturing-remanufacturing systems under demand and return variations10.1080/00207543.2018.1461272 ↗
23. Integrated maintenance/spare parts management for manufacturing system according to variable production rate impacting the system degradation10.1177/1063293X19898734 ↗
24. Switching-and hedging-point policy for preventive maintenance with degrading machines: Application to a two-machine line10.1007/s10696-019-09370-7 ↗
25. Simulation and optimization of continuous-flow production systems with a finite buffer by using mathematical programming10.1080/0740817X.2016.1217103 ↗
26. Guiras, Z., Hajej, Z., Rezg, N., and Dolgui, A. (2018). Comparative analysis of heuristic algorithms used for solving a production and maintenance planning problem (PMPP). Appl. Sci., 8.10.3390/app8071088 ↗
27. A simulation based optimization approach to combine two hedging control policies in a transported degrading failure-prone manufacturing system
28. Joint optimization of production and maintenance strategies considering a dynamic sampling strategy for a deteriorating system10.1016/j.cie.2020.106273 ↗
29. Production planning and control of unreliable hybrid manufacturing-remanufacturing systems with quality-based categorization of returns10.1016/j.jclepro.2021.127800 ↗
30. Joint production and preventive maintenance controls for unreliable and imperfect manufacturing systems10.1016/j.jmsy.2020.12.003 ↗
31. Integrated capacitated transportation and production scheduling problem in a fuzzy environment
32. Assembly system configuration design for reconfigurability under uncertain production evolution10.1115/1.4043581 ↗
33. A decision-making framework for dynamic scheduling of cyber-physical production system based on digital twins10.1016/j.arcontrol.2021.04.008 ↗
34. Economic maintenance planning of complex systems based on discrete artificial bee colony algorithm10.1109/ACCESS.2020.2999601 ↗
35. Sustainable distributed permutation flow-shop scheduling model based on a triple bottom line concept
36. Gholizadeh, H., Fazlollahtabar, H., Fathollahi-Fard, A.M., and Dulebenets, M.A. (2021). Preventive maintenance for the flexible flowshop scheduling under uncertainty: A waste-to-energy system. Environ. Sci. Pollut. Res.10.1007/s11356-021-16234-x ↗
37. Cloud-based industrial cyber-physical system for data-driven reasoning. A review and use case on an industry 4.0 pilot line10.1109/TII.2020.2971057 ↗
38. Machine learning-based predictive maintenance: A cost-oriented model for implementation10.1016/j.ijpe.2021.108114 ↗
39. Integrated analysis of quality and production logistics performance in manufacturing lines10.1080/00207540903443246 ↗