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Modelling the performance of single-input–single-output (SISO) processes using transfer function and fuzzy logic

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  • Chidozie Chukwuemeka Nwobi-Okoye

    (Chukwuemeka Odumegwu Ojukwu University)

Abstract

A previously developed method for evaluating the performance of zero order single input single output (SISO) processes using transfer function modeling assumed constant lags and zero or negligible noise. This work models the performance of SISO systems with variable lags and noise using transfer function modeling and fuzzy logic inference systems. Two single input single output processes exemplified by palm kernel crushing plants were used for the modeling. Plants 1 and 2 with the same system’s coefficient of performance (SCOP) of 0.4, which corresponds linguistic variable ‘Fair’, had the same performance. In comparison with queuing theory SCOP performed better as a performance assessment metric for the SISO processes. The results showed that fuzzy logic inference system could be effectively used to model zero order SISO systems with variable lags and noise. The results of the research could be extended to higher order SISO systems.

Suggested Citation

  • Chidozie Chukwuemeka Nwobi-Okoye, 2020. "Modelling the performance of single-input–single-output (SISO) processes using transfer function and fuzzy logic," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 815-836, September.
    • Handle: RePEc:spr:opsear:v:57:y:2020:i:3:d:10.1007_s12597-020-00452-x
    DOI: 10.1007/s12597-020-00452-x
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    References listed on IDEAS

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    1. Nadine Kafa & Yasmina Hani & Abederrahman El Mhamedi, 2018. "Evaluating and selecting partners in sustainable supply chain network: a comparative analysis of combined fuzzy multi-criteria approaches," OPSEARCH, Springer;Operational Research Society of India, vol. 55(1), pages 14-49, March.
    2. Pooja Bansal & Aparna Mehra, 2018. "Multi-period additive efficiency measurement in data envelopment analysis with non-positive and undesirable data," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 642-661, November.
    3. Surajit Nath & Bijan Sarkar, 2018. "Decision system framework for performance evaluation of advanced manufacturing technology under fuzzy environment," OPSEARCH, Springer;Operational Research Society of India, vol. 55(3), pages 703-720, November.
    4. Shiva Moslemi & Hamidreza Izadbakhsh & Marzieh Zarinbal, 2019. "A new reliable performance evaluation model: IFB-IER–DEA," OPSEARCH, Springer;Operational Research Society of India, vol. 56(1), pages 14-31, March.
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