Modelling demand-driven chain networks using multiple CODP's
Purpose ¿ to model demand-driven chain networks on basis of multiple Customer Order Decoupling Points (CODPs). Design/methodology/approach ¿ literature study and a case study in dairy industry, based on in-depth expert interviews. Findings ¿ four main underlying factors of CODP diversity are addressed and modelled. Research limitations/implications ¿ the proposed multiple CODP models provide the basic setup of a reference-process model for demand-driven chain networks, and should further be developed into a formalized model that incorporates detailed implementation knowledge of different industries. Practical implications ¿ the research contributes to making the generic CODP concept suitable for process design of demand-driven chain networks. Originality/value ¿ the paper adds to existing research on CODPs by addressing the main underlying factors of CODP diversity. Based on these dimensions, basic process models of demand-driven chain networks are proposed and applied in dairy industry. Keywords Customer Order Decoupling Point (CODP), Demand-driven chain networks
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Format: | Article in monograph or in proceedings biblioteca |
Language: | English |
Subjects: | Life Science, |
Online Access: | https://research.wur.nl/en/publications/modelling-demand-driven-chain-networks-using-multiple-codps |
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dig-wur-nl-wurpubs-3524342025-01-09 Verdouw, C.N. Beulens, A.J.M. Bouwmeester, D. Trienekens, J.H. Article in monograph or in proceedings Proceedings AMPS'2006 Lean Business Systems and Beyond. 18-20 September 2006, Wroclaw Poland Modelling demand-driven chain networks using multiple CODP's 2006 Purpose ¿ to model demand-driven chain networks on basis of multiple Customer Order Decoupling Points (CODPs). Design/methodology/approach ¿ literature study and a case study in dairy industry, based on in-depth expert interviews. Findings ¿ four main underlying factors of CODP diversity are addressed and modelled. Research limitations/implications ¿ the proposed multiple CODP models provide the basic setup of a reference-process model for demand-driven chain networks, and should further be developed into a formalized model that incorporates detailed implementation knowledge of different industries. Practical implications ¿ the research contributes to making the generic CODP concept suitable for process design of demand-driven chain networks. Originality/value ¿ the paper adds to existing research on CODPs by addressing the main underlying factors of CODP diversity. Based on these dimensions, basic process models of demand-driven chain networks are proposed and applied in dairy industry. Keywords Customer Order Decoupling Point (CODP), Demand-driven chain networks en application/pdf https://research.wur.nl/en/publications/modelling-demand-driven-chain-networks-using-multiple-codps https://edepot.wur.nl/35329 Life Science Wageningen University & Research |
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Life Science Life Science Verdouw, C.N. Beulens, A.J.M. Bouwmeester, D. Trienekens, J.H. Modelling demand-driven chain networks using multiple CODP's |
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Purpose ¿ to model demand-driven chain networks on basis of multiple Customer Order Decoupling Points (CODPs). Design/methodology/approach ¿ literature study and a case study in dairy industry, based on in-depth expert interviews. Findings ¿ four main underlying factors of CODP diversity are addressed and modelled. Research limitations/implications ¿ the proposed multiple CODP models provide the basic setup of a reference-process model for demand-driven chain networks, and should further be developed into a formalized model that incorporates detailed implementation knowledge of different industries. Practical implications ¿ the research contributes to making the generic CODP concept suitable for process design of demand-driven chain networks. Originality/value ¿ the paper adds to existing research on CODPs by addressing the main underlying factors of CODP diversity. Based on these dimensions, basic process models of demand-driven chain networks are proposed and applied in dairy industry. Keywords Customer Order Decoupling Point (CODP), Demand-driven chain networks |
format |
Article in monograph or in proceedings |
topic_facet |
Life Science |
author |
Verdouw, C.N. Beulens, A.J.M. Bouwmeester, D. Trienekens, J.H. |
author_facet |
Verdouw, C.N. Beulens, A.J.M. Bouwmeester, D. Trienekens, J.H. |
author_sort |
Verdouw, C.N. |
title |
Modelling demand-driven chain networks using multiple CODP's |
title_short |
Modelling demand-driven chain networks using multiple CODP's |
title_full |
Modelling demand-driven chain networks using multiple CODP's |
title_fullStr |
Modelling demand-driven chain networks using multiple CODP's |
title_full_unstemmed |
Modelling demand-driven chain networks using multiple CODP's |
title_sort |
modelling demand-driven chain networks using multiple codp's |
url |
https://research.wur.nl/en/publications/modelling-demand-driven-chain-networks-using-multiple-codps |
work_keys_str_mv |
AT verdouwcn modellingdemanddrivenchainnetworksusingmultiplecodps AT beulensajm modellingdemanddrivenchainnetworksusingmultiplecodps AT bouwmeesterd modellingdemanddrivenchainnetworksusingmultiplecodps AT trienekensjh modellingdemanddrivenchainnetworksusingmultiplecodps |
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1822274315107696640 |