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2020 | OriginalPaper | Buchkapitel

Cooperative Designing of Machine Layout Using Teaching Learning Based Optimisation and Its Modifications

verfasst von : Srisatja Vitayasak, Pupong Pongcharoen

Erschienen in: Cooperative Design, Visualization, and Engineering

Verlag: Springer International Publishing

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Abstract

A variation of customer demand over time periods has resulted in production layout’s efficiency especially in term of material handling cost. Machine re-location approach can help to maintain the flow distances but the costs related to the machine movement may be imposed. Cooperative redesigning of machine layouts between time periods was proposed to minimise both material handling and relocation costs. In this work, Teaching-Learning-Based Optimisation (TLBO) and its modifications were applied to solve non-identical machine layout redesign (MLRD) problem in multi-period multi-row configuration with demand uncertainty scenario. The computational experiments were carried out using eleven benchmarking datasets. The performance of the proposed methods was compared with the conventional Genetic Algorithm, Backtracking Search Algorithm. The effect of relocation cost on the layout design approach was also investigated.

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Literatur
1.
Zurück zum Zitat McKendall, A.R., Shang, J., Kuppusamy, S.: Simulated annealing heuristics for the dynamic facility layout problem. Comput. Oper. Res. 33, 2431–2444 (2006)MathSciNetMATH McKendall, A.R., Shang, J., Kuppusamy, S.: Simulated annealing heuristics for the dynamic facility layout problem. Comput. Oper. Res. 33, 2431–2444 (2006)MathSciNetMATH
2.
Zurück zum Zitat Tompkins, J.A., White, J.A., Bozer, Y.A., Tanchoco, J.M.A.: Facilities Planning, 4th edn. John Wiley & Sons, Inc, Hoboken (2010) Tompkins, J.A., White, J.A., Bozer, Y.A., Tanchoco, J.M.A.: Facilities Planning, 4th edn. John Wiley & Sons, Inc, Hoboken (2010)
3.
Zurück zum Zitat Kulturel-Konak, S.: Approaches to uncertainties in facility layout problems: Perspectives at the beginning of the 21(st) Century. J. Intell. Manuf. 18, 273–284 (2007) Kulturel-Konak, S.: Approaches to uncertainties in facility layout problems: Perspectives at the beginning of the 21(st) Century. J. Intell. Manuf. 18, 273–284 (2007)
4.
Zurück zum Zitat Chen, G.Y.H., Lo, J.-C.: Dynamic facility layout with multi-objectives. Asia Pac. J. Oper. Res. 31, 1450027 (2014)MathSciNetMATH Chen, G.Y.H., Lo, J.-C.: Dynamic facility layout with multi-objectives. Asia Pac. J. Oper. Res. 31, 1450027 (2014)MathSciNetMATH
7.
Zurück zum Zitat Rao, R.V., Savsani, V.J., Vakharia, D.P.: Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput.-Aid. Des. 43, 303–315 (2011) Rao, R.V., Savsani, V.J., Vakharia, D.P.: Teaching-learning-based optimization: a novel method for constrained mechanical design optimization problems. Comput.-Aid. Des. 43, 303–315 (2011)
8.
Zurück zum Zitat Panda, S., Panda, S.N., Nanda, P., Mishra, D.: Comparative study on optimum design of rolling element bearing. Tribol. Int. 92, 595–604 (2015) Panda, S., Panda, S.N., Nanda, P., Mishra, D.: Comparative study on optimum design of rolling element bearing. Tribol. Int. 92, 595–604 (2015)
9.
Zurück zum Zitat Shao, W.S., Pi, D.C., Shao, Z.S.: A hybrid discrete optimization algorithm based on teaching-probabilistic learning mechanism for no-wait flow shop scheduling. Knowl.-Based Syst. 107, 219–234 (2016) Shao, W.S., Pi, D.C., Shao, Z.S.: A hybrid discrete optimization algorithm based on teaching-probabilistic learning mechanism for no-wait flow shop scheduling. Knowl.-Based Syst. 107, 219–234 (2016)
10.
Zurück zum Zitat Bhattacharyya, B., Babu, R.: Teaching learning based optimization algorithm for reactive power planning. Int. J. Electr. Power Energ. Syst. 81, 248–253 (2016) Bhattacharyya, B., Babu, R.: Teaching learning based optimization algorithm for reactive power planning. Int. J. Electr. Power Energ. Syst. 81, 248–253 (2016)
12.
Zurück zum Zitat Rao, R.V., Kalyankar, V.D.: Multi-objective multi-parameter optimization of the industrial LBW process using a new optimization algorithm. Proc. Inst. Mech. Eng. Part B-J. Eng. Manuf. 226, 1018–1025 (2012) Rao, R.V., Kalyankar, V.D.: Multi-objective multi-parameter optimization of the industrial LBW process using a new optimization algorithm. Proc. Inst. Mech. Eng. Part B-J. Eng. Manuf. 226, 1018–1025 (2012)
14.
Zurück zum Zitat Tuo, S.H., He, H.: Solving complex cardinality constrained mean variance portfolio optimization problems using hybrid HS and TLBO algorithm. Econ. Comput. Econ. Cybern. Stud. 52, 231–248 (2018) Tuo, S.H., He, H.: Solving complex cardinality constrained mean variance portfolio optimization problems using hybrid HS and TLBO algorithm. Econ. Comput. Econ. Cybern. Stud. 52, 231–248 (2018)
16.
Zurück zum Zitat Pourvaziri, H., Naderi, B.: A hybrid multi-population genetic algorithm for the dynamic facility layout problem. Appl. Soft Comput. 24, 457–469 (2014) Pourvaziri, H., Naderi, B.: A hybrid multi-population genetic algorithm for the dynamic facility layout problem. Appl. Soft Comput. 24, 457–469 (2014)
17.
Zurück zum Zitat Samarghandi, H., Taabayan, P., Behroozi, M.: Metaheuristics for fuzzy dynamic facility layout problem with unequal area constraints and closeness ratings. Int. J. Adv. Manuf. Tech. 67, 2701–2715 (2013) Samarghandi, H., Taabayan, P., Behroozi, M.: Metaheuristics for fuzzy dynamic facility layout problem with unequal area constraints and closeness ratings. Int. J. Adv. Manuf. Tech. 67, 2701–2715 (2013)
19.
Zurück zum Zitat Hosseini, S., Al Khaled, A., Vadlamani, S.: Hybrid imperialist competitive algorithm, variable neighborhood search, and simulated annealing for dynamic facility layout problem. Neural Comput. Appl. 25, 1871–1885 (2014) Hosseini, S., Al Khaled, A., Vadlamani, S.: Hybrid imperialist competitive algorithm, variable neighborhood search, and simulated annealing for dynamic facility layout problem. Neural Comput. Appl. 25, 1871–1885 (2014)
20.
Zurück zum Zitat Montreuil, B., Laforge, A.: Dynamic layout design given a scenario tree of probable futures. Eur. J. Oper. Res. 63, 271–286 (1992) Montreuil, B., Laforge, A.: Dynamic layout design given a scenario tree of probable futures. Eur. J. Oper. Res. 63, 271–286 (1992)
21.
Zurück zum Zitat Corry, P., Kozan, E.: Ant colony optimisation for machine layout problems. Comput. Optim. Appl. 28, 287–310 (2004)MathSciNetMATH Corry, P., Kozan, E.: Ant colony optimisation for machine layout problems. Comput. Optim. Appl. 28, 287–310 (2004)MathSciNetMATH
22.
Zurück zum Zitat Vitayasak, S., Pongcharoen, P.: Performance improvement of Teaching-Learning-Based Optimisation for robust machine layout design. Expert Syst. Appl. 98, 129–152 (2018) Vitayasak, S., Pongcharoen, P.: Performance improvement of Teaching-Learning-Based Optimisation for robust machine layout design. Expert Syst. Appl. 98, 129–152 (2018)
23.
Zurück zum Zitat Vitayasak, S., Pongcharoen, P., Hicks, C.: Robust machine layout design under dynamic environment: Dynamic customer demand and machine maintenance. Expert Syst. Appl. X 3, 100015 (2019) Vitayasak, S., Pongcharoen, P., Hicks, C.: Robust machine layout design under dynamic environment: Dynamic customer demand and machine maintenance. Expert Syst. Appl. X 3, 100015 (2019)
24.
Zurück zum Zitat Vitayasak, S., Pongcharoen, P., Hicks, C.: A tool for solving stochastic dynamic facility layout problems with stochastic demand using either a Genetic Algorithm or modified Backtracking Search Algorithm. Int. J. Prod. Econ. 190, 146–157 (2017) Vitayasak, S., Pongcharoen, P., Hicks, C.: A tool for solving stochastic dynamic facility layout problems with stochastic demand using either a Genetic Algorithm or modified Backtracking Search Algorithm. Int. J. Prod. Econ. 190, 146–157 (2017)
Metadaten
Titel
Cooperative Designing of Machine Layout Using Teaching Learning Based Optimisation and Its Modifications
verfasst von
Srisatja Vitayasak
Pupong Pongcharoen
Copyright-Jahr
2020
DOI
https://doi.org/10.1007/978-3-030-60816-3_16

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