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2021 | OriginalPaper | Chapter

Integrated Production and Maintenance Planning: A Systematic Literature Review

Authors : Nicollas Luiz Schweitzer de Souza, Lúcio Galvão Mendes, Eugênio Strassburguer Rovaris, Enzo Morosini Frazzon, Lynceo Falavigna Braghirolli

Published in: Production Research

Publisher: Springer International Publishing

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Abstract

Production and maintenance planning are interconnected problems, so that their joint solution can enhance system performance. This paper develops a systematic review on the integrated production and maintenance planning on manufacturing systems. The content analysis included sixty-nine papers, embracing aspects of production system modelling, optimization mechanism, practical applications and research directions. The findings indicate the predominance of theoretical studies, the use of genetic algorithm for the optimization engine, in which costs and makespan are the variables of the objective function. Future research directions point to applications for real scenarios, predictive maintenance and models with increasing complexity.

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Ghaleb, M., Taghipour, S., Sharifi, M., Zolfagharinia, H.: Integrated production and maintenance scheduling for a single degrading machine with deterioration-based failures. Comput. Ind. Eng. 143, 106432 (2020). https://doi.org/10.1016/j.cie.2020.106432CrossRef

de Souza, N.L.S., Stradioto Neto, L.A., Rossato, I.D.F., da Silva, B.S., Henkes, J.A.: Aplicação de ferramenta da indústria 4.0 em um caso com alguns cenários nacionais e internacionais. Revista Gestão & Sustentabilidade Ambiental 9(2), 120 (2020). https://doi.org/10.19177/rgsa.v9e22020120-140

Frazzon, E.M., Kück, M., Freitag, M.: Data-driven production control for complex and dynamic manufacturing systems. CIRP Ann. 67(1), 515–518 (2018). https://doi.org/10.1016/j.cirp.2018.04.033CrossRef

de Souza, L.S., Rossato, I.D.F., Henkes, J.A.: Uma análise das estratégias de produção mais limpa e eficiência energética em uma indústria de equipamentos odontológicos. Revista Gestão & Sustentabilidade Ambiental 8(3), 639 (2019). https://doi.org/10.19177/rgsa.v8e32019639-659CrossRef

Boudjelida, A.: On the robustness of joint production and maintenance scheduling in presence of uncertainties. J. Intell. Manuf. 30(4), 1515–1530 (2017). https://doi.org/10.1007/s10845-017-1303-9CrossRef

Alimian, M., Ghezavati, V., Tavakkoli-Moghaddam, R.: New integration of preventive maintenance and production planning with cell formation and group scheduling for dynamic cellular manufacturing systems. J. Manuf. Syst. 56, 341–358 (2020). https://doi.org/10.1016/j.jmsy.2020.06.011CrossRef

Glawar, R., et al.: An approach for the integration of anticipative maintenance strategies within a production planning and control model. Proc. CIRP 67, 46–51 (2018). http://dx.doi.org/10.1016/j.procir.2017.12.174

Aghezzaf, E.-H., Khatab, A., Tam, P.L.: Optimizing production and imperfect preventive maintenance planning’s integration in failure-prone manufacturing systems. Reliab. Eng. Syst. Saf. 145, 190–198 (2016). https://doi.org/10.1016/j.ress.2015.09.017CrossRef

Wang, L., Lu, Z., Ren, Y.: Integrated production planning and condition-based maintenance considering uncertain demand and random failures. Proc. Inst. Mech. Eng. B J. Eng. Manuf. 234(1–2), 310–323 (2019). https://doi.org/10.1177/0954405419852479CrossRef

10.

Baek, S., Yoon, D.Y., Lim, K.J., Cho, Y.K., Seo, Y.L., Yun, E.J.: The most downloaded and most cited articles in radiology journals: a comparative bibliometric analysis. Eur. Radiol. 28(11), 4832–4838 (2018). https://doi.org/10.1007/s00330-018-5423-1CrossRef

11.

Moher, D., Liberati, A., Tetzlaff, J., Altman, D.G.: Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. Int. J. Surg. 8(5), 336–341 (2010). https://doi.org/10.1016/j.ijsu.2010.02.007CrossRef

12.

Fink, A.: Conducting Research Literature Reviews: From the Internet to Paper. Sage Publications, Los Angeles (2019)

13.

Triska, Y., Frazzon, E.M., Silva, V.M.D.: Proposition of a simulation-based method for port capacity assessment and expansion planning. Simul. Model. Pract. Theory 103, 102098 (2020). https://doi.org/10.1016/j.simpat.2020.102098CrossRef

14.

Uhlmann, I.R., Frazzon, E.M.: Production rescheduling review: Opportunities for industrial integration and practical applications. J. Manuf. Syst. 49, 186–193 (2018). https://doi.org/10.1016/j.jmsy.2018.10.004CrossRef

15.

Liao, Y., Deschamps, F., de Freitas Rocha Loures, E., Ramos, L.F.P.: Past, present and future of Industry 4.0 - a systematic literature review and research agenda proposal. Int. J. Prod. Res. 55(12), 3609–3629 (2017). https://doi.org/10.1080/00207543.2017.1308576

16.

Aria, M., Cuccurullo, C.: Bibliometrix: an R-tool for comprehensive science mapping analysis. J. Informetrics 11(4), 959–975 (2017). https://doi.org/10.1016/j.joi.2017.08.007CrossRef

17.

Chansombat, S., Pongcharoen, P., Hicks, C.: A mixed-integer linear programming model for integrated production and preventive maintenance scheduling in the capital goods industry. Int. J. Prod. Res. 57(1), 61–82 (2018). https://doi.org/10.1080/00207543.2018.1459923CrossRef

18.

Hajej, Z., Rezg, N., Gharbi, A.: Quality issue in forecasting problem of production and maintenance policy for production unit. Int. J. Prod. Res. 56(18), 6147–6163 (2018). https://doi.org/10.1080/00207543.2018.1478150CrossRef

19.

Aramon Bajestani, M., Banjevic, D., Beck, J.C.: Integrated maintenance planning and production scheduling with Markovian deteriorating machine conditions. Int. J. Prod. Res. 52(24), 7377–7400 (2014). https://doi.org/10.1080/00207543.2014.931609CrossRef

20.

Wang, S.: Bi-objective optimisation for integrated scheduling of single machine with setup times and preventive maintenance planning. Int. J. Prod. Res. 51(12), 3719–3733 (2013). https://doi.org/10.1080/00207543.2013.765070CrossRef

21.

Wang, S., Liu, M.: A branch and bound algorithm for single-machine production scheduling integrated with preventive maintenance planning. Int. J. Prod. Res. 51(3), 847–868 (2013). https://doi.org/10.1080/00207543.2012.676683CrossRef

22.

Wong, C.S., Chan, F.T.S., Chung, S.H.: A joint production scheduling approach considering multiple resources and preventive maintenance tasks. Int. J. Prod. Res. 51(3), 883–896 (2013). https://doi.org/10.1080/00207543.2012.677070CrossRef

23.

Wong, C.S., Chan, F.T.S., Chung, S.H.: A genetic algorithm approach for production scheduling with mould maintenance consideration. Int. J. Prod. Res. 50(20), 5683–5697 (2012). https://doi.org/10.1080/00207543.2011.613868CrossRef

24.

Najid, N.M., Alaoui-Selsouli, M., Mohafid, A.: An integrated production and maintenance planning model with time windows and shortage cost. Int. J. Prod. Res. 49(8), 2265–2283 (2010). https://doi.org/10.1080/00207541003620386CrossRefMATH

25.

Zied, H., Sofiene, D., Nidhal, R.: Optimal integrated maintenance/production policy for randomly failing systems with variable failure rate. Int. J. Prod. Res. 49(19), 5695–5712 (2011). https://doi.org/10.1080/00207543.2010.528063CrossRef

26.

Kouedeu, A.F., Kenné, J.-P., Dejax, P., Songmene, V., Polotski, V.: Production and maintenance planning for a failure-prone deteriorating manufacturing system: a hierarchical control approach. Int. J. Adv. Manuf. Technol. 76(9–12), 1607–1619 (2014). https://doi.org/10.1007/s00170-014-6175-yCrossRef

27.

Berrichi, A., Yalaoui, F.: Efficient bi-objective ant colony approach to minimize total tardiness and system unavailability for a parallel machine scheduling problem. Int. J. Adv. Manuf. Technol. 68(9–12), 2295–2310 (2013). https://doi.org/10.1007/s00170-013-4841-0CrossRef

28.

Pan, E., Liao, W., Xi, L.: A joint model of production scheduling and predictive maintenance for minimizing job tardiness. Int. J. Adv. Manuf. Technol. 60(9–12), 1049–1061 (2011). https://doi.org/10.1007/s00170-011-3652-4CrossRef

29.

Pan, E., Liao, W., Xi, L.: Single-machine-based production scheduling model integrated preventive maintenance planning. Int. J. Adv. Manuf. Technol. 50(1–4), 365–375 (2010). https://doi.org/10.1007/s00170-009-2514-9CrossRef

30.

Yulan, J., Zuhua, J., Wenrui, H.: Multi-objective integrated optimization research on preventive maintenance planning and production scheduling for a single machine. Int. J. Adv. Manuf. Technol. 39(9–10), 954–964 (2007). https://doi.org/10.1007/s00170-007-1268-5CrossRef

31.

Cassady, C.R., Kutanoglu, E.: Integrating preventive maintenance planning and production scheduling for a single machine. IEEE Trans. Reliab. 54(2), 304–309 (2005). https://doi.org/10.1109/tr.2005.845967CrossRef

32.

Cassady, C.R., Kutanoglu, E.: Minimizing job tardiness using integrated preventive maintenance planning and production scheduling. IIE Trans. 35(6), 503–513 (2003). https://doi.org/10.1080/07408170304416CrossRef

33.

Hajej, Z., Rezg, N., Askri, T.: Joint optimization of capacity, production and maintenance planning of leased machines. J. Intell. Manuf. 31(2), 351–374 (2018). https://doi.org/10.1007/s10845-018-1450-7CrossRef

34.

Batubara, S., Marie, I.A., Cattelya, F.H.: Minimizing mean weighted expected tardiness by integrating preventive maintenance and production scheduling using genetic algorithm. In: International Conference on Industrial Engineering and Operations Management, pp. 3242–3253, Bangkok, Thailand (2019)

35.

Fnaiech, N., Fitouri, C., Varnier, C., Fnaiech, F., Zerhouni, N.: A new heuristic method for solving joint job shop scheduling of production and maintenance. IFAC-PapersOnLine 48(3), 1802–1808 (2015). https://doi.org/10.1016/j.ifacol.2015.06.348CrossRef

36.

Liu, X., Wang, W., Zhang, T., Zhai, Q., Peng, R.: An integrated non-cyclical preventive maintenance and production planning model for a multi-product production system. In: 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2015). https://doi.org/10.1109/ieem.2015.7385696

37.

Liu, X., Wang, W., Peng, R.: An integrated production and delay-time based preventive maintenance planning model for a multi-product production system. Eksploatacja i Niezawodnosc – Maint. Reliab. 17(2), 215–221 (2015). https://doi.org/10.17531/ein.2015.2.7CrossRef

38.

Pandey, D., Kulkarni, M.S., Vrat, P.: A methodology for joint optimization for maintenance planning, process quality and production scheduling. Comput. Indus. Eng. 61(4), 1098–1106 (2011). http://dx.doi.org/10.1016/j.cie.2011.06.023

39.

Chen, X., An, Y., Zhang, Z., Li, Y.: An approximate nondominated sorting genetic algorithm to integrate optimization of production scheduling and accurate maintenance based on reliability intervals. J. Manuf. Syst. 54, 227–241 (2020). https://doi.org/10.1016/j.jmsy.2019.12.004CrossRef

40.

Xu, S., Dong, W., Jin, M., Wang, L.: Single-machine scheduling with fixed or flexible maintenance. Comput. Ind. Eng. 139, 106203 (2020). https://doi.org/10.1016/j.cie.2019.106203CrossRef

41.

Shalaby, M.F., Gadallah, M.H., Almokadem, A.: Optimization of production, maintenance and inspection decisions under reliability constraints. J. Eng. Sci. Technol. 14(6), 3551–3568 (2019)

42.

Ao, Y., Zhang, H., Wang, C.: Research of an integrated decision model for production scheduling and maintenance planning with economic objective. Comput. Ind. Eng. 137, 106092 (2019). https://doi.org/10.1016/j.cie.2019.106092CrossRef

43.

Rivera-Gómez, H., Lara, J., Montaño-Arango, O., Hernández-Gress, E.S., Corona-Armenta, J.R., Santana-Robles, F.: Joint production and repair efficiency planning of a multiple deteriorating system. Flex. Serv. Manuf. J. 31(2), 446–471 (2018). https://doi.org/10.1007/s10696-018-9313-2CrossRef

44.

Wang, L., Lu, Z., Han, X.: Joint optimal production planning and proactive maintenance policy for a system subject to degradation. J. Qual. Maint. Eng. 25(2), 236–252 (2019). https://doi.org/10.1108/jqme-11-2016-0068CrossRef

45.

Alimian, M., Saidi-Mehrabad, M., Jabbarzadeh, A.: A robust integrated production and preventive maintenance planning model for multi-state systems with uncertain demand and common cause failures. J. Manuf. Syst. 50, 263–277 (2019). https://doi.org/10.1016/j.jmsy.2018.12.001CrossRef

46.

Rahmati, S.H.A., Ahmadi, A., Karimi, B.: Developing simulation based optimization mechanism for novel stochastic reliability centered maintenance problem. Scientia Iranica (2017). https://doi.org/10.24200/sci.2017.4461CrossRef

47.

Guiras, Z., Hajej, Z., Rezg, N., Dolgui, A.: Comparative analysis of heuristic algorithms used for solving a Production and Maintenance Planning Problem (PMPP). Appl. Sci. 8(7), 1088 (2018). https://doi.org/10.3390/app8071088CrossRef

48.

Rivera-Gómez, H., Gharbi, A., Kenné, J.-P., Montaño-Arango, O., Hernández-Gress, E.S.: Subcontracting strategies with production and maintenance policies for a manufacturing system subject to progressive deterioration. Int. J. Prod. Econ. 200, 103–118 (2018). https://doi.org/10.1016/j.ijpe.2018.03.004CrossRef

49.

Ettaye, G., El Barkany, A., Jabri, A., El Khalfi, A.: Optimizing the integrated production and maintenance planning using genetic algorithm. Int. J. Eng. Bus. Manage. 10, 184797901877326 (2018). https://doi.org/10.1177/1847979018773260CrossRef

50.

Mehdizadeh, E., Aydin Atashi Abkenar, A.: Preventive maintenance effect on the aggregate production planning model with tow-phase production systems: modeling and solution methods. Eng. Rev. Međunarodni časopis namijenjen publiciranju originalnih istraživanja s aspekta analize konstrukcija, materijala i novih tehnologija u području strojarstva, brodogradnje, temeljnih tehničkih znanosti, elektrotehnike, računarstva i građevinarstva 38(1), 30–50 (2018)

51.

Biondi, M., Sand, G., Harjunkoski, I.: Optimization of multipurpose process plant operations: a multi-time-scale maintenance and production scheduling approach. Comput. Chem. Eng. 99, 325–339 (2017). https://doi.org/10.1016/j.compchemeng.2017.01.007CrossRef

52.

Jing, Z., Hua, J., Yi, Z.: Multi-objective integrated optimization problem of preventive maintenance planning and flexible job-shop scheduling. In: Proceedings of the 23rd International Conference on Industrial Engineering and Engineering Management 2016, pp. 137–141. Atlantis Press, Paris (2017)

53.

Zahedi, Rojali, Yusriski, R.: Stepwise optimization for model of integrated batch production and maintenance scheduling for single item processed on flow shop with two machines in JIT environment. Proc. Comput. Sci. 116, 408–420 (2017). https://doi.org/10.1016/j.procs.2017.10.081CrossRef

54.

Le Tam, P., Aghezzaf, E.H., Khatab, A., Hieu Le, C.: Integrated production and imperfect preventive maintenance planning: an effective MILP-based relax-and-fix/fix-and-optimize method. In: 6th International Conference on Operations Research and Enterprise Systems (ICORES 2017), pp. 483–490. SCITEPRESS–Science and Technology Publications, Lda (2017)

55.

Vieira, M., Liu, S., Pinto-Varela, T., Barbosa-Póvoa, A.P., Papageorgiou, L.G.: Optimisation of maintenance planning into the production of biopharmaceuticals with performance decay using a continuous-time formulation. In: 26th European Symposium on Computer Aided Process Engineering, pp. 1749–1754 (2016). https://doi.org/10.1016/b978-0-444-63428-3.50296-4

56.

Kumar, S., Lad, B.K.: Effect of maintenance resource constraints on flow-shop environment in a joint production and maintenance context. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2016). https://doi.org/10.1109/ieem.2016.7797954

57.

Liao, W., Zhang, X., Jiang, M.: An optimization model integrated production scheduling and preventive maintenance for group production. In: 2016 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) (2016). https://doi.org/10.1109/ieem.2016.7798015

58.

Lee, S., Prabhu, V.V.: A dynamic algorithm for distributed feedback control for manufacturing production, capacity, and maintenance. IEEE Trans. Autom. Sci. Eng. 12(2), 628–641 (2015). https://doi.org/10.1109/tase.2014.2339281CrossRef

59.

Chen, X., Xiao, L., Zhang, X.: A production scheduling problem considering random failure and imperfect preventive maintenance. Proc. Inst. Mech. Eng. O J. Risk Reliab. 229(1), 26–35 (2014). https://doi.org/10.1177/1748006x14545834CrossRef

60.

Assid, M., Gharbi, A., Hajji, A.: Production planning and opportunistic preventive maintenance for unreliable one-machine two-products manufacturing systems. IFAC-PapersOnLine 48(3), 478–483 (2015). https://doi.org/10.1016/j.ifacol.2015.06.127CrossRef

61.

Fakher, H.B., Nourelfath, M., Gendreau, M.: Hybrid genetic algorithm to solve a joint production maintenance model. IFAC-PapersOnLine 48(3), 747–754 (2015). https://doi.org/10.1016/j.ifacol.2015.06.172CrossRef

62.

Ho, V.T., Hajej, Z., Le Thi, H.A., Rezg, N.: Solving the production and maintenance optimization problem by a global approach. In: Modelling, Computation and Optimization in Information Systems and Management Sciences, pp. 307–318. Springer, Cham (2015)

63.

Chen, X., Xiao, L., Zhang, X., Xiao, W., Li, J.: An integrated model of production scheduling and maintenance planning under imperfect preventive maintenance. Eksploatacja i Niezawodność, 17, 70–79 (2015)

64.

Yalaoui, A., Chaabi, K., Yalaoui, F.: Integrated production planning and preventive maintenance in deteriorating production systems. Inf. Sci. 278, 841–861 (2014). https://doi.org/10.1016/j.ins.2014.03.097MathSciNetCrossRefMATH

65.

Fitouhi, M.-C., Nourelfath, M.: Integrating noncyclical preventive maintenance scheduling and production planning for multi-state systems. Reliab. Eng. Syst. Saf. 121, 175–186 (2014). https://doi.org/10.1016/j.ress.2013.07.009CrossRef

66.

Pan, E., Liao, W., Xi, L.: A single machine-based scheduling optimisation model integrated with preventive maintenance policy for maximising the availability. Int. J. Ind. Syst. Eng. 10(4), 451 (2012). https://doi.org/10.1504/ijise.2012.046301CrossRef

67.

Nourelfath, M., Châtelet, E.: Integrating production, inventory and maintenance planning for a parallel system with dependent components. Reliab. Eng. Syst. Saf. 101, 59–66 (2012). https://doi.org/10.1016/j.ress.2012.02.001CrossRef

68.

Fitouhi, M.-C., Nourelfath, M.: Integrating noncyclical preventive maintenance scheduling and production planning for a single machine. Int. J. Prod. Econ. 136(2), 344–351 (2012). https://doi.org/10.1016/j.ijpe.2011.12.021CrossRef

69.

Uzun, A., Ozdogan, A.: Maintenance parameters based production policies optimization. J. Qual. Maint. Eng. 18(3), 295–310 (2012). https://doi.org/10.1108/13552511211265884CrossRef

70.

Reza Golmakani, H., Namazi, A.: Multiple-route job shop scheduling with fixed periodic and age-dependent preventive maintenance to minimize makespan. J. Qual. Maint. Eng. 18(1), 60–78 (2012). https://doi.org/10.1108/13552511211226193CrossRef

71.

Benmansour, R., Allaoui, H., Artiba, A., Iassinovski, S., Pellerin, R.: Simulation-based approach to joint production and preventive maintenance scheduling on a failure-prone machine. J. Qual. Maint. Eng. 17(3), 254–267 (2011). https://doi.org/10.1108/13552511111157371CrossRef

72.

Berrichi, A., Yalaoui, F., Amodeo, L., Mezghiche, M.: Bi-Objective Ant Colony Optimization approach to optimize production and maintenance scheduling. Comput. Oper. Res. 37(9), 1584–1596 (2010). https://doi.org/10.1016/j.cor.2009.11.017MathSciNetCrossRefMATH

73.

Nourelfath, M., Fitouhi, M.-C., Machani, M.: An integrated model for production and preventive maintenance planning in multi-state systems. IEEE Trans. Reliab. 59(3), 496–506 (2010). https://doi.org/10.1109/tr.2010.2056412CrossRef

74.

Berrichi, A., Amodeo, L., Yalaoui, F., Châtelet, E., Mezghiche, M.: Bi-objective optimization algorithms for joint production and maintenance scheduling: application to the parallel machine problem. J. Intell. Manuf. 20(4), 389–400 (2008). https://doi.org/10.1007/s10845-008-0113-5CrossRef

75.

Jin, Y.-L., Jiang, Z.-H., Hou, W.-R.: Integrating flexible-interval preventive maintenance planning with production scheduling. Int. J. Comput. Integr. Manuf. 22(12), 1089–1101 (2009). https://doi.org/10.1080/09511920903207449CrossRef

76.

Leng, K., Ren, P., Gao, L.: A novel approach to integrated preventive maintenance planning and production scheduling for a single machine using the chaotic particle swarm optimization algorithm. In: 2006 6th World Congress on Intelligent Control and Automation (2006). https://doi.org/10.1109/wcica.2006.1713491

77.

Kianfar, F.: A numerical method to approximate optimal production and maintenance plan in a flexible manufacturing system. Appl. Math. Comput. 170(2), 924–940 (2005). https://doi.org/10.1016/j.amc.2004.12.030MathSciNetCrossRefMATH

78.

Sortrakul, N., Nachtmann, H.L., Cassady, C.R.: Genetic algorithms for integrated preventive maintenance planning and production scheduling for a single machine. Comput. Ind. 56(2), 161–168 (2005). https://doi.org/10.1016/j.compind.2004.06.005CrossRef

79.

Vassiliadis, C.G., Vassiliadou, M.G., Papageorgiou, L.G., Pistikopoulos, E.N.: Simultaneous maintenance considerations and production planning in multi-purpose plants. In: Annual Reliability and Maintainability Symposium, 2000 Proceedings, International Symposium on Product Quality and Integrity (Cat. No.00CH37055) (n.d.). https://doi.org/10.1109/rams.2000.816312

Title: Integrated Production and Maintenance Planning: A Systematic Literature Review
Authors: Nicollas Luiz Schweitzer de Souza
Lúcio Galvão Mendes
Eugênio Strassburguer Rovaris
Enzo Morosini Frazzon
Lynceo Falavigna Braghirolli
Publisher: Springer International Publishing
Book: Production Research
Print ISBN: 978-3-030-76306-0

Electronic ISBN: 978-3-030-76307-7

Copyright Year: 2021
DOI: https://doi.org/10.1007/978-3-030-76307-7_26

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