Adaptive Supply Chain Management:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
London
Springer London
2010
|
| Schlagworte: | |
| Online-Zugang: | BTU01 FHI01 FHN01 FHR01 Volltext |
| Beschreibung: | The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support. Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance. Particular highlights include: • an understanding of supply chain performance as a composition of profitability and global stability; • the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics; • a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and • supply chains modelled as dynamic multi-structural active systems. Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations |
| Beschreibung: | 1 Online-Ressource (XXXII, 269 p) |
| ISBN: | 9781848829527 |
| DOI: | 10.1007/978-1-84882-952-7 |
Internformat
MARC
| LEADER | 00000nmm a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV041889627 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | cr|uuu---uuuuu | ||
| 008 | 140603s2010 |||| o||u| ||||||eng d | ||
| 020 | |a 9781848829527 |c Online |9 978-1-84882-952-7 | ||
| 024 | 7 | |a 10.1007/978-1-84882-952-7 |2 doi | |
| 035 | |a (OCoLC)699586301 | ||
| 035 | |a (DE-599)BVBBV041889627 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 049 | |a DE-634 |a DE-898 |a DE-573 |a DE-92 |a DE-83 | ||
| 082 | 0 | |a 658.56 |2 23 | |
| 084 | |a QP 530 |0 (DE-625)141897: |2 rvk | ||
| 100 | 1 | |a Ivanov, Dmitry |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Adaptive Supply Chain Management |c by Dmitry Ivanov, Boris Sokolov |
| 264 | 1 | |a London |b Springer London |c 2010 | |
| 300 | |a 1 Online-Ressource (XXXII, 269 p) | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b c |2 rdamedia | ||
| 338 | |b cr |2 rdacarrier | ||
| 500 | |a The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support. Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance. Particular highlights include: • an understanding of supply chain performance as a composition of profitability and global stability; • the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics; • a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and • supply chains modelled as dynamic multi-structural active systems. Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations | ||
| 505 | 0 | |a Evolution of Supply Chain Management (SCM) -- Conceptual Frameworks for Supply Chain Management -- Decision-making Support for Supply Chain Management -- Challenges in Research on Modern and Future Supply Chains -- Uncertainty, Risk and Complexity -- Handling Uncertainty in Supply Chains -- STREAM: Stability-based Realization of Economic Performance and Management -- Quantitative Modelling of Supply Chains -- DIMA – Decentralized Integrated Modelling Approach -- Structure Dynamics Control and Multi-model Analysis -- Adaptive Planning of Supply Chains -- Modelling Operations Dynamics, Planning and Scheduling -- Supply Chain Reconfiguration and Models’ Adaptation -- Models of Supply Chain Global Stability and Manageability -- Experimental Environment | |
| 650 | 4 | |a Engineering | |
| 650 | 4 | |a Industrial engineering | |
| 650 | 4 | |a System safety | |
| 650 | 4 | |a Business logistics | |
| 650 | 4 | |a Quality Control, Reliability, Safety and Risk | |
| 650 | 4 | |a Industrial and Production Engineering | |
| 650 | 4 | |a Production/Logistics | |
| 650 | 4 | |a Ingenieurwissenschaften | |
| 650 | 0 | 7 | |a Supply Chain Management |0 (DE-588)4684051-5 |2 gnd |9 rswk-swf |
| 689 | 0 | 0 | |a Supply Chain Management |0 (DE-588)4684051-5 |D s |
| 689 | 0 | |8 1\p |5 DE-604 | |
| 700 | 1 | |a Sokolov, Boris |e Sonstige |4 oth | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druckausgabe |z 978-1-84882-951-0 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-1-84882-952-7 |x Verlag |3 Volltext |
| 912 | |a ZDB-2-ENG | ||
| 999 | |a oai:aleph.bib-bvb.de:BVB01-027333581 | ||
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 966 | e | |u https://doi.org/10.1007/978-1-84882-952-7 |l BTU01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-84882-952-7 |l FHI01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-84882-952-7 |l FHN01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
| 966 | e | |u https://doi.org/10.1007/978-1-84882-952-7 |l FHR01 |p ZDB-2-ENG |x Verlag |3 Volltext | |
Datensatz im Suchindex
| _version_ | 1804152238662221824 |
|---|---|
| any_adam_object | |
| author | Ivanov, Dmitry |
| author_facet | Ivanov, Dmitry |
| author_role | aut |
| author_sort | Ivanov, Dmitry |
| author_variant | d i di |
| building | Verbundindex |
| bvnumber | BV041889627 |
| classification_rvk | QP 530 |
| collection | ZDB-2-ENG |
| contents | Evolution of Supply Chain Management (SCM) -- Conceptual Frameworks for Supply Chain Management -- Decision-making Support for Supply Chain Management -- Challenges in Research on Modern and Future Supply Chains -- Uncertainty, Risk and Complexity -- Handling Uncertainty in Supply Chains -- STREAM: Stability-based Realization of Economic Performance and Management -- Quantitative Modelling of Supply Chains -- DIMA – Decentralized Integrated Modelling Approach -- Structure Dynamics Control and Multi-model Analysis -- Adaptive Planning of Supply Chains -- Modelling Operations Dynamics, Planning and Scheduling -- Supply Chain Reconfiguration and Models’ Adaptation -- Models of Supply Chain Global Stability and Manageability -- Experimental Environment |
| ctrlnum | (OCoLC)699586301 (DE-599)BVBBV041889627 |
| dewey-full | 658.56 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 658 - General management |
| dewey-raw | 658.56 |
| dewey-search | 658.56 |
| dewey-sort | 3658.56 |
| dewey-tens | 650 - Management and auxiliary services |
| discipline | Wirtschaftswissenschaften |
| doi_str_mv | 10.1007/978-1-84882-952-7 |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04438nmm a2200553zc 4500</leader><controlfield tag="001">BV041889627</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">140603s2010 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781848829527</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-84882-952-7</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-84882-952-7</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)699586301</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV041889627</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-634</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-573</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-83</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">658.56</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">QP 530</subfield><subfield code="0">(DE-625)141897:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ivanov, Dmitry</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Adaptive Supply Chain Management</subfield><subfield code="c">by Dmitry Ivanov, Boris Sokolov</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London</subfield><subfield code="b">Springer London</subfield><subfield code="c">2010</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XXXII, 269 p)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support. Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance. Particular highlights include: • an understanding of supply chain performance as a composition of profitability and global stability; • the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics; • a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and • supply chains modelled as dynamic multi-structural active systems. Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">Evolution of Supply Chain Management (SCM) -- Conceptual Frameworks for Supply Chain Management -- Decision-making Support for Supply Chain Management -- Challenges in Research on Modern and Future Supply Chains -- Uncertainty, Risk and Complexity -- Handling Uncertainty in Supply Chains -- STREAM: Stability-based Realization of Economic Performance and Management -- Quantitative Modelling of Supply Chains -- DIMA – Decentralized Integrated Modelling Approach -- Structure Dynamics Control and Multi-model Analysis -- Adaptive Planning of Supply Chains -- Modelling Operations Dynamics, Planning and Scheduling -- Supply Chain Reconfiguration and Models’ Adaptation -- Models of Supply Chain Global Stability and Manageability -- Experimental Environment</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industrial engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">System safety</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Business logistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Quality Control, Reliability, Safety and Risk</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Industrial and Production Engineering</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Production/Logistics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Ingenieurwissenschaften</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Supply Chain Management</subfield><subfield code="0">(DE-588)4684051-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Supply Chain Management</subfield><subfield code="0">(DE-588)4684051-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sokolov, Boris</subfield><subfield code="e">Sonstige</subfield><subfield code="4">oth</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druckausgabe</subfield><subfield code="z">978-1-84882-951-0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-84882-952-7</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-ENG</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-027333581</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-84882-952-7</subfield><subfield code="l">BTU01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-84882-952-7</subfield><subfield code="l">FHI01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-84882-952-7</subfield><subfield code="l">FHN01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-84882-952-7</subfield><subfield code="l">FHR01</subfield><subfield code="p">ZDB-2-ENG</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
| id | DE-604.BV041889627 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:07:32Z |
| institution | BVB |
| isbn | 9781848829527 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027333581 |
| oclc_num | 699586301 |
| open_access_boolean | |
| owner | DE-634 DE-898 DE-BY-UBR DE-573 DE-92 DE-83 |
| owner_facet | DE-634 DE-898 DE-BY-UBR DE-573 DE-92 DE-83 |
| physical | 1 Online-Ressource (XXXII, 269 p) |
| psigel | ZDB-2-ENG |
| publishDate | 2010 |
| publishDateSearch | 2010 |
| publishDateSort | 2010 |
| publisher | Springer London |
| record_format | marc |
| spelling | Ivanov, Dmitry Verfasser aut Adaptive Supply Chain Management by Dmitry Ivanov, Boris Sokolov London Springer London 2010 1 Online-Ressource (XXXII, 269 p) txt rdacontent c rdamedia cr rdacarrier The recent transformation of the world’s economic environment necessitates the re-thinking of supply chain management (SCM) goals and decision-making techniques. Adaptive Supply Chain Management develops new viewpoints on the SCM goal paradigm, problem semantics, and decision-making support. Drawing upon years of research and practical experience, and using numerous examples, the authors unite conceptual considerations of supply chains with a constructive level of engineering and solutions to real-world problems. Adaptive Supply Chain Management provides advanced insights into dynamics, complexity, and uncertainty in supply chains from the perspectives of systems analysis, control theory, and operations research. It also considers supply chain adaptability, stability, and crisis-resistance. Particular highlights include: • an understanding of supply chain performance as a composition of profitability and global stability; • the tackling of links between partial SCM problems with regard to different management levels, different supply chain structures, and in supply chain dynamics; • a mathematical approach based on the combined application of control theory, systems analysis, operations research, and agent-oriented modelling; and • supply chains modelled as dynamic multi-structural active systems. Providing readers with a comprehensive view of advanced SCM concepts, constructive mathematical techniques and models, Adaptive Supply Chain Management is an invaluable text for practitioners and researchers who specialize in SCM and operations Evolution of Supply Chain Management (SCM) -- Conceptual Frameworks for Supply Chain Management -- Decision-making Support for Supply Chain Management -- Challenges in Research on Modern and Future Supply Chains -- Uncertainty, Risk and Complexity -- Handling Uncertainty in Supply Chains -- STREAM: Stability-based Realization of Economic Performance and Management -- Quantitative Modelling of Supply Chains -- DIMA – Decentralized Integrated Modelling Approach -- Structure Dynamics Control and Multi-model Analysis -- Adaptive Planning of Supply Chains -- Modelling Operations Dynamics, Planning and Scheduling -- Supply Chain Reconfiguration and Models’ Adaptation -- Models of Supply Chain Global Stability and Manageability -- Experimental Environment Engineering Industrial engineering System safety Business logistics Quality Control, Reliability, Safety and Risk Industrial and Production Engineering Production/Logistics Ingenieurwissenschaften Supply Chain Management (DE-588)4684051-5 gnd rswk-swf Supply Chain Management (DE-588)4684051-5 s 1\p DE-604 Sokolov, Boris Sonstige oth Erscheint auch als Druckausgabe 978-1-84882-951-0 https://doi.org/10.1007/978-1-84882-952-7 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Ivanov, Dmitry Adaptive Supply Chain Management Evolution of Supply Chain Management (SCM) -- Conceptual Frameworks for Supply Chain Management -- Decision-making Support for Supply Chain Management -- Challenges in Research on Modern and Future Supply Chains -- Uncertainty, Risk and Complexity -- Handling Uncertainty in Supply Chains -- STREAM: Stability-based Realization of Economic Performance and Management -- Quantitative Modelling of Supply Chains -- DIMA – Decentralized Integrated Modelling Approach -- Structure Dynamics Control and Multi-model Analysis -- Adaptive Planning of Supply Chains -- Modelling Operations Dynamics, Planning and Scheduling -- Supply Chain Reconfiguration and Models’ Adaptation -- Models of Supply Chain Global Stability and Manageability -- Experimental Environment Engineering Industrial engineering System safety Business logistics Quality Control, Reliability, Safety and Risk Industrial and Production Engineering Production/Logistics Ingenieurwissenschaften Supply Chain Management (DE-588)4684051-5 gnd |
| subject_GND | (DE-588)4684051-5 |
| title | Adaptive Supply Chain Management |
| title_auth | Adaptive Supply Chain Management |
| title_exact_search | Adaptive Supply Chain Management |
| title_full | Adaptive Supply Chain Management by Dmitry Ivanov, Boris Sokolov |
| title_fullStr | Adaptive Supply Chain Management by Dmitry Ivanov, Boris Sokolov |
| title_full_unstemmed | Adaptive Supply Chain Management by Dmitry Ivanov, Boris Sokolov |
| title_short | Adaptive Supply Chain Management |
| title_sort | adaptive supply chain management |
| topic | Engineering Industrial engineering System safety Business logistics Quality Control, Reliability, Safety and Risk Industrial and Production Engineering Production/Logistics Ingenieurwissenschaften Supply Chain Management (DE-588)4684051-5 gnd |
| topic_facet | Engineering Industrial engineering System safety Business logistics Quality Control, Reliability, Safety and Risk Industrial and Production Engineering Production/Logistics Ingenieurwissenschaften Supply Chain Management |
| url | https://doi.org/10.1007/978-1-84882-952-7 |
| work_keys_str_mv | AT ivanovdmitry adaptivesupplychainmanagement AT sokolovboris adaptivesupplychainmanagement |