A fuzzy-based integrated framework for monitoring stochastic demand in a supply chain environment

H. C. W. Lau; P. Samaranayake; D. Nakandala

doi:10.1109/IEEM.2011.6117880

A fuzzy-based integrated framework for monitoring stochastic demand in a supply chain environment

H. C. W. Lau, P. Samaranayake, D. Nakandala

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

5 Citations (Scopus)

Abstract

This paper develops a Fuzzy-based Integrated Framework (FIF) that responds to the risk of fluctuating demand in a supply chain environment. It is a hybrid framework based on the fuzzy based stochastic demand model and the integrated processes of supply chain in enterprise resource planning (ERP) environment. This proposed FIF can be used to adjust the rate of change of demand based on fuzzy system reasoning, supported by real time inputs of the specific parameters and control data using integrated supply chain processes/models in ERP system environment. Based on a cost effective approach, this framework minimizes the total cost comprising inventory and stock-out costs. Using a case study, we validate the proposed integrated framework in actual industrial settings and discuss the practical importance for supply chain management in responding to uncertainties inherited in the operational environment.

Original language	English
Title of host publication	Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2011), 6 to 9 December 2011, Singapore, Furama RiverFront Hotel
Publisher	IEEE
Pages	66-70
Number of pages	5
ISBN (Print)	9781457707384
DOIs	https://doi.org/10.1109/IEEM.2011.6117880
Publication status	Published - 2011
Event	IEEE International Conference on Industrial Engineering and Engineering Management - Duration: 10 Dec 2013 → …

Conference

Conference	IEEE International Conference on Industrial Engineering and Engineering Management
Period	10/12/13 → …

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10.1109/IEEM.2011.6117880

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Lau, H. C. W., Samaranayake, P., & Nakandala, D. (2011). A fuzzy-based integrated framework for monitoring stochastic demand in a supply chain environment. In Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2011), 6 to 9 December 2011, Singapore, Furama RiverFront Hotel (pp. 66-70). IEEE. https://doi.org/10.1109/IEEM.2011.6117880

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title = "A fuzzy-based integrated framework for monitoring stochastic demand in a supply chain environment",

abstract = "This paper develops a Fuzzy-based Integrated Framework (FIF) that responds to the risk of fluctuating demand in a supply chain environment. It is a hybrid framework based on the fuzzy based stochastic demand model and the integrated processes of supply chain in enterprise resource planning (ERP) environment. This proposed FIF can be used to adjust the rate of change of demand based on fuzzy system reasoning, supported by real time inputs of the specific parameters and control data using integrated supply chain processes/models in ERP system environment. Based on a cost effective approach, this framework minimizes the total cost comprising inventory and stock-out costs. Using a case study, we validate the proposed integrated framework in actual industrial settings and discuss the practical importance for supply chain management in responding to uncertainties inherited in the operational environment.",

author = "Lau, {H. C. W.} and P. Samaranayake and D. Nakandala",

year = "2011",

doi = "10.1109/IEEM.2011.6117880",

language = "English",

isbn = "9781457707384",

pages = "66--70",

booktitle = "Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2011), 6 to 9 December 2011, Singapore, Furama RiverFront Hotel",

publisher = "IEEE",

note = "IEEE International Conference on Industrial Engineering and Engineering Management ; Conference date: 10-12-2013",

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Lau, HCW, Samaranayake, P & Nakandala, D 2011, A fuzzy-based integrated framework for monitoring stochastic demand in a supply chain environment. in Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2011), 6 to 9 December 2011, Singapore, Furama RiverFront Hotel. IEEE, pp. 66-70, IEEE International Conference on Industrial Engineering and Engineering Management, 10/12/13. https://doi.org/10.1109/IEEM.2011.6117880

A fuzzy-based integrated framework for monitoring stochastic demand in a supply chain environment. / Lau, H. C. W.; Samaranayake, P.; Nakandala, D.
Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2011), 6 to 9 December 2011, Singapore, Furama RiverFront Hotel. IEEE, 2011. p. 66-70.

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

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AB - This paper develops a Fuzzy-based Integrated Framework (FIF) that responds to the risk of fluctuating demand in a supply chain environment. It is a hybrid framework based on the fuzzy based stochastic demand model and the integrated processes of supply chain in enterprise resource planning (ERP) environment. This proposed FIF can be used to adjust the rate of change of demand based on fuzzy system reasoning, supported by real time inputs of the specific parameters and control data using integrated supply chain processes/models in ERP system environment. Based on a cost effective approach, this framework minimizes the total cost comprising inventory and stock-out costs. Using a case study, we validate the proposed integrated framework in actual industrial settings and discuss the practical importance for supply chain management in responding to uncertainties inherited in the operational environment.

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A fuzzy-based integrated framework for monitoring stochastic demand in a supply chain environment

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