Continuous review reorder point problems in a fuzzy environment
Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, th...
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Gespeichert in:
| Autor*in: |
Pai, Ping-Feng [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2003 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag London Limited 2003 |
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| Übergeordnetes Werk: |
Enthalten in: The international journal of advanced manufacturing technology - Springer-Verlag, 1985, 22(2003), 5-6 vom: 27. Juni, Seite 436-440 |
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| Übergeordnetes Werk: |
volume:22 ; year:2003 ; number:5-6 ; day:27 ; month:06 ; pages:436-440 |
| Links: |
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| DOI / URN: |
10.1007/s00170-003-1559-4 |
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OLC202599754X |
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| 520 | |a Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, this is seldom the case. In the most situations, the uncertainty is estimated within a certain interval without any knowledge of the probability distribution within the interval. In this investigation, the application of fuzzy sets theory is introduced for continuous review reorder point problems. It is assumed that uncertainties may appear in the demand over the lead time and in holding costs where decisionmaking is characterised by the lack of precise future estimates of the uncertain information. The minimised possible total cost is obtained by a corresponding reorder point and quantity. The computational aspect of the fuzzy model and its interpretations are illustrated by examples. Finally, deterministic approximations to this fuzzy approach are also investigated. | ||
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10.1007/s00170-003-1559-4 doi (DE-627)OLC202599754X (DE-He213)s00170-003-1559-4-p DE-627 ger DE-627 rakwb eng 670 VZ Pai, Ping-Feng verfasserin aut Continuous review reorder point problems in a fuzzy environment 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Limited 2003 Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, this is seldom the case. In the most situations, the uncertainty is estimated within a certain interval without any knowledge of the probability distribution within the interval. In this investigation, the application of fuzzy sets theory is introduced for continuous review reorder point problems. It is assumed that uncertainties may appear in the demand over the lead time and in holding costs where decisionmaking is characterised by the lack of precise future estimates of the uncertain information. The minimised possible total cost is obtained by a corresponding reorder point and quantity. The computational aspect of the fuzzy model and its interpretations are illustrated by examples. Finally, deterministic approximations to this fuzzy approach are also investigated. Fuzzy set theory Continuous review reorder point problems Reorder point Order quantity Hsu, Min-Min aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 22(2003), 5-6 vom: 27. Juni, Seite 436-440 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:22 year:2003 number:5-6 day:27 month:06 pages:436-440 https://doi.org/10.1007/s00170-003-1559-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 22 2003 5-6 27 06 436-440 |
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10.1007/s00170-003-1559-4 doi (DE-627)OLC202599754X (DE-He213)s00170-003-1559-4-p DE-627 ger DE-627 rakwb eng 670 VZ Pai, Ping-Feng verfasserin aut Continuous review reorder point problems in a fuzzy environment 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Limited 2003 Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, this is seldom the case. In the most situations, the uncertainty is estimated within a certain interval without any knowledge of the probability distribution within the interval. In this investigation, the application of fuzzy sets theory is introduced for continuous review reorder point problems. It is assumed that uncertainties may appear in the demand over the lead time and in holding costs where decisionmaking is characterised by the lack of precise future estimates of the uncertain information. The minimised possible total cost is obtained by a corresponding reorder point and quantity. The computational aspect of the fuzzy model and its interpretations are illustrated by examples. Finally, deterministic approximations to this fuzzy approach are also investigated. Fuzzy set theory Continuous review reorder point problems Reorder point Order quantity Hsu, Min-Min aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 22(2003), 5-6 vom: 27. Juni, Seite 436-440 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:22 year:2003 number:5-6 day:27 month:06 pages:436-440 https://doi.org/10.1007/s00170-003-1559-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 22 2003 5-6 27 06 436-440 |
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10.1007/s00170-003-1559-4 doi (DE-627)OLC202599754X (DE-He213)s00170-003-1559-4-p DE-627 ger DE-627 rakwb eng 670 VZ Pai, Ping-Feng verfasserin aut Continuous review reorder point problems in a fuzzy environment 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Limited 2003 Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, this is seldom the case. In the most situations, the uncertainty is estimated within a certain interval without any knowledge of the probability distribution within the interval. In this investigation, the application of fuzzy sets theory is introduced for continuous review reorder point problems. It is assumed that uncertainties may appear in the demand over the lead time and in holding costs where decisionmaking is characterised by the lack of precise future estimates of the uncertain information. The minimised possible total cost is obtained by a corresponding reorder point and quantity. The computational aspect of the fuzzy model and its interpretations are illustrated by examples. Finally, deterministic approximations to this fuzzy approach are also investigated. Fuzzy set theory Continuous review reorder point problems Reorder point Order quantity Hsu, Min-Min aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 22(2003), 5-6 vom: 27. Juni, Seite 436-440 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:22 year:2003 number:5-6 day:27 month:06 pages:436-440 https://doi.org/10.1007/s00170-003-1559-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 22 2003 5-6 27 06 436-440 |
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10.1007/s00170-003-1559-4 doi (DE-627)OLC202599754X (DE-He213)s00170-003-1559-4-p DE-627 ger DE-627 rakwb eng 670 VZ Pai, Ping-Feng verfasserin aut Continuous review reorder point problems in a fuzzy environment 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Limited 2003 Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, this is seldom the case. In the most situations, the uncertainty is estimated within a certain interval without any knowledge of the probability distribution within the interval. In this investigation, the application of fuzzy sets theory is introduced for continuous review reorder point problems. It is assumed that uncertainties may appear in the demand over the lead time and in holding costs where decisionmaking is characterised by the lack of precise future estimates of the uncertain information. The minimised possible total cost is obtained by a corresponding reorder point and quantity. The computational aspect of the fuzzy model and its interpretations are illustrated by examples. Finally, deterministic approximations to this fuzzy approach are also investigated. Fuzzy set theory Continuous review reorder point problems Reorder point Order quantity Hsu, Min-Min aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 22(2003), 5-6 vom: 27. Juni, Seite 436-440 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:22 year:2003 number:5-6 day:27 month:06 pages:436-440 https://doi.org/10.1007/s00170-003-1559-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 22 2003 5-6 27 06 436-440 |
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10.1007/s00170-003-1559-4 doi (DE-627)OLC202599754X (DE-He213)s00170-003-1559-4-p DE-627 ger DE-627 rakwb eng 670 VZ Pai, Ping-Feng verfasserin aut Continuous review reorder point problems in a fuzzy environment 2003 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag London Limited 2003 Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, this is seldom the case. In the most situations, the uncertainty is estimated within a certain interval without any knowledge of the probability distribution within the interval. In this investigation, the application of fuzzy sets theory is introduced for continuous review reorder point problems. It is assumed that uncertainties may appear in the demand over the lead time and in holding costs where decisionmaking is characterised by the lack of precise future estimates of the uncertain information. The minimised possible total cost is obtained by a corresponding reorder point and quantity. The computational aspect of the fuzzy model and its interpretations are illustrated by examples. Finally, deterministic approximations to this fuzzy approach are also investigated. Fuzzy set theory Continuous review reorder point problems Reorder point Order quantity Hsu, Min-Min aut Enthalten in The international journal of advanced manufacturing technology Springer-Verlag, 1985 22(2003), 5-6 vom: 27. Juni, Seite 436-440 (DE-627)129185299 (DE-600)52651-4 (DE-576)014456192 0268-3768 nnns volume:22 year:2003 number:5-6 day:27 month:06 pages:436-440 https://doi.org/10.1007/s00170-003-1559-4 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC GBV_ILN_20 GBV_ILN_21 GBV_ILN_23 GBV_ILN_70 GBV_ILN_150 GBV_ILN_2006 GBV_ILN_2014 GBV_ILN_2018 GBV_ILN_2241 GBV_ILN_2333 GBV_ILN_4046 GBV_ILN_4277 GBV_ILN_4307 AR 22 2003 5-6 27 06 436-440 |
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Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, this is seldom the case. In the most situations, the uncertainty is estimated within a certain interval without any knowledge of the probability distribution within the interval. In this investigation, the application of fuzzy sets theory is introduced for continuous review reorder point problems. It is assumed that uncertainties may appear in the demand over the lead time and in holding costs where decisionmaking is characterised by the lack of precise future estimates of the uncertain information. The minimised possible total cost is obtained by a corresponding reorder point and quantity. The computational aspect of the fuzzy model and its interpretations are illustrated by examples. Finally, deterministic approximations to this fuzzy approach are also investigated. © Springer-Verlag London Limited 2003 |
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Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, this is seldom the case. In the most situations, the uncertainty is estimated within a certain interval without any knowledge of the probability distribution within the interval. In this investigation, the application of fuzzy sets theory is introduced for continuous review reorder point problems. It is assumed that uncertainties may appear in the demand over the lead time and in holding costs where decisionmaking is characterised by the lack of precise future estimates of the uncertain information. The minimised possible total cost is obtained by a corresponding reorder point and quantity. The computational aspect of the fuzzy model and its interpretations are illustrated by examples. Finally, deterministic approximations to this fuzzy approach are also investigated. © Springer-Verlag London Limited 2003 |
| abstract_unstemmed |
Abstract In traditional continuous review reorder point problems, probability theory has been wildly explored to deal with uncertain cases. In most situations, the decision maker is assumed to be aware of the probability distribution of uncertainty when the probability theory is applied. However, this is seldom the case. In the most situations, the uncertainty is estimated within a certain interval without any knowledge of the probability distribution within the interval. In this investigation, the application of fuzzy sets theory is introduced for continuous review reorder point problems. It is assumed that uncertainties may appear in the demand over the lead time and in holding costs where decisionmaking is characterised by the lack of precise future estimates of the uncertain information. The minimised possible total cost is obtained by a corresponding reorder point and quantity. The computational aspect of the fuzzy model and its interpretations are illustrated by examples. Finally, deterministic approximations to this fuzzy approach are also investigated. © Springer-Verlag London Limited 2003 |
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Continuous review reorder point problems in a fuzzy environment |
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