Taxonomy of inventory policies for supply-chain effectiveness
The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2001 |
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| Schlagwörter: |
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| Umfang: |
12 |
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| Reproduktion: |
Emerald Fulltext Archive Database 1994-2005 |
|---|---|
| Übergeordnetes Werk: |
In: International journal of retail and distribution management - Bingley : Emerald, 1973, 29(2001), 4, Seite 164-175 |
| Übergeordnetes Werk: |
volume:29 ; year:2001 ; number:4 ; pages:164-175 ; extent:12 |
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| DOI / URN: |
10.1108/09590550110387962 |
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| 520 | |a The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse application environments represented by autonomous business entities that form the supply-chain. Three generic models that implement inventory decision rules to address constant (or level), time varying (or chase), and mixed demand patterns associated with stock keeping unit (SKU) categories are proposed. Applications of these inventory models to a textile supply-chain are discussed. | ||
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10.1108/09590550110387962 doi (DE-627)NLEJ219907110 DE-627 ger DE-627 rakwb eng XA-GB Taxonomy of inventory policies for supply-chain effectiveness 2001 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse application environments represented by autonomous business entities that form the supply-chain. Three generic models that implement inventory decision rules to address constant (or level), time varying (or chase), and mixed demand patterns associated with stock keeping unit (SKU) categories are proposed. Applications of these inventory models to a textile supply-chain are discussed. Emerald Fulltext Archive Database 1994-2005 Inventory Supply chain Supply-chain management Textile industry Chandra, Charu oth Kumar, Sameer oth In International journal of retail and distribution management Bingley : Emerald, 1973 29(2001), 4, Seite 164-175 Online-Ressource (DE-627)NLEJ219579334 (DE-600)2032071-1 nnns volume:29 year:2001 number:4 pages:164-175 extent:12 http://dx.doi.org/10.1108/09590550110387962 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 29 2001 4 164-175 12 |
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10.1108/09590550110387962 doi (DE-627)NLEJ219907110 DE-627 ger DE-627 rakwb eng XA-GB Taxonomy of inventory policies for supply-chain effectiveness 2001 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse application environments represented by autonomous business entities that form the supply-chain. Three generic models that implement inventory decision rules to address constant (or level), time varying (or chase), and mixed demand patterns associated with stock keeping unit (SKU) categories are proposed. Applications of these inventory models to a textile supply-chain are discussed. Emerald Fulltext Archive Database 1994-2005 Inventory Supply chain Supply-chain management Textile industry Chandra, Charu oth Kumar, Sameer oth In International journal of retail and distribution management Bingley : Emerald, 1973 29(2001), 4, Seite 164-175 Online-Ressource (DE-627)NLEJ219579334 (DE-600)2032071-1 nnns volume:29 year:2001 number:4 pages:164-175 extent:12 http://dx.doi.org/10.1108/09590550110387962 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 29 2001 4 164-175 12 |
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10.1108/09590550110387962 doi (DE-627)NLEJ219907110 DE-627 ger DE-627 rakwb eng XA-GB Taxonomy of inventory policies for supply-chain effectiveness 2001 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse application environments represented by autonomous business entities that form the supply-chain. Three generic models that implement inventory decision rules to address constant (or level), time varying (or chase), and mixed demand patterns associated with stock keeping unit (SKU) categories are proposed. Applications of these inventory models to a textile supply-chain are discussed. Emerald Fulltext Archive Database 1994-2005 Inventory Supply chain Supply-chain management Textile industry Chandra, Charu oth Kumar, Sameer oth In International journal of retail and distribution management Bingley : Emerald, 1973 29(2001), 4, Seite 164-175 Online-Ressource (DE-627)NLEJ219579334 (DE-600)2032071-1 nnns volume:29 year:2001 number:4 pages:164-175 extent:12 http://dx.doi.org/10.1108/09590550110387962 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 29 2001 4 164-175 12 |
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10.1108/09590550110387962 doi (DE-627)NLEJ219907110 DE-627 ger DE-627 rakwb eng XA-GB Taxonomy of inventory policies for supply-chain effectiveness 2001 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse application environments represented by autonomous business entities that form the supply-chain. Three generic models that implement inventory decision rules to address constant (or level), time varying (or chase), and mixed demand patterns associated with stock keeping unit (SKU) categories are proposed. Applications of these inventory models to a textile supply-chain are discussed. Emerald Fulltext Archive Database 1994-2005 Inventory Supply chain Supply-chain management Textile industry Chandra, Charu oth Kumar, Sameer oth In International journal of retail and distribution management Bingley : Emerald, 1973 29(2001), 4, Seite 164-175 Online-Ressource (DE-627)NLEJ219579334 (DE-600)2032071-1 nnns volume:29 year:2001 number:4 pages:164-175 extent:12 http://dx.doi.org/10.1108/09590550110387962 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 29 2001 4 164-175 12 |
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10.1108/09590550110387962 doi (DE-627)NLEJ219907110 DE-627 ger DE-627 rakwb eng XA-GB Taxonomy of inventory policies for supply-chain effectiveness 2001 12 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse application environments represented by autonomous business entities that form the supply-chain. Three generic models that implement inventory decision rules to address constant (or level), time varying (or chase), and mixed demand patterns associated with stock keeping unit (SKU) categories are proposed. Applications of these inventory models to a textile supply-chain are discussed. Emerald Fulltext Archive Database 1994-2005 Inventory Supply chain Supply-chain management Textile industry Chandra, Charu oth Kumar, Sameer oth In International journal of retail and distribution management Bingley : Emerald, 1973 29(2001), 4, Seite 164-175 Online-Ressource (DE-627)NLEJ219579334 (DE-600)2032071-1 nnns volume:29 year:2001 number:4 pages:164-175 extent:12 http://dx.doi.org/10.1108/09590550110387962 GBV_USEFLAG_U ZDB-1-EFD GBV_NL_ARTICLE AR 29 2001 4 164-175 12 |
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The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse application environments represented by autonomous business entities that form the supply-chain. Three generic models that implement inventory decision rules to address constant (or level), time varying (or chase), and mixed demand patterns associated with stock keeping unit (SKU) categories are proposed. Applications of these inventory models to a textile supply-chain are discussed. |
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The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse application environments represented by autonomous business entities that form the supply-chain. Three generic models that implement inventory decision rules to address constant (or level), time varying (or chase), and mixed demand patterns associated with stock keeping unit (SKU) categories are proposed. Applications of these inventory models to a textile supply-chain are discussed. |
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The concept of taxonomy is applied to inventory management in a supply-chain using the example of the US textile industry. Through classification and standardisation of issues related to inventory management problems, it is shown how inventory models and techniques can be generalised across diverse application environments represented by autonomous business entities that form the supply-chain. Three generic models that implement inventory decision rules to address constant (or level), time varying (or chase), and mixed demand patterns associated with stock keeping unit (SKU) categories are proposed. Applications of these inventory models to a textile supply-chain are discussed. |
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