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Inventory Control Using Fuzzy-Aided Decision Support System

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Advances in Computer and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 554))

Abstract

Virtually every segment of the economy relies on some form of inventory for their operations. The ubiquitous nature of inventory has motivated to carry out this study wherein a decision support system (DSS) could be formulated to assist the decision-makers for effective monitoring of inventory levels and to ensure continuous availability of goods. The DSS needs be designed in a manner which can communicate its information to its user that is comprehensible and useful within the context of the decision situation. However, while dealing with the parameters of the system it is often seen that they are uncertain, imprecise and vague. Fuzzy-based approaches are best suited for such situations but these cannot provide automated decision support unless combined with learning systems like artificial neural network (ANN). When ANN and fuzzy are combined, fuzzy neural system (FNS) and neuro-fuzzy system (NFS) are created. The model of DSS developed in this study is based on a new framework using a system called adaptive neuro-fuzzy inference system. The model established has the advantage of the ANFIS for the DSS for use as part of inventory control.

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Author information

Authors and Affiliations

  1. Department of Mathematics, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, India

    Mahuya Deb & Prabjot Kaur

  2. Department of Electronics and Communication Technology, Gauhati University, Guwahati, India

    Kandarpa Kumar Sarma

Authors
  1. Mahuya Deb
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  2. Prabjot Kaur
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  3. Kandarpa Kumar Sarma
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Corresponding author

Correspondence to Mahuya Deb .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Missouri, St. Louis, Missouri, USA

    Sanjiv K. Bhatia

  2. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  3. CSED, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  4. Department of Computer Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

    Vivek Kumar Singh

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Deb, M., Kaur, P., Sarma, K.K. (2018). Inventory Control Using Fuzzy-Aided Decision Support System. In: Bhatia, S., Mishra, K., Tiwari, S., Singh, V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 554. Springer, Singapore. https://doi.org/10.1007/978-981-10-3773-3_45

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  • DOI: https://doi.org/10.1007/978-981-10-3773-3_45

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3772-6

  • Online ISBN: 978-981-10-3773-3

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