| Description |
1 online resource (374 pages) |
| Series |
Advances in Information Systems and Management Science Ser. ; v. 51 |
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Advances in Information Systems and Management Science Ser
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| Contents |
Intro; 1 Introduction; 1.1 Motivation and Problem Statement; 1.2 Research Questions and Goals; 1.3 Research Design; 1.4 Thesis Structure; 2 Fundamentals of Supply Chain Coordination; 2.1 Types of Supply Chain Collaborations; 2.2 The Role of Inter-Organizational Coordination in Collaborations; 2.2.1 Organizational-Theoretical Perspectives on Supply Chain Collaboration; 2.2.2 Inter-Organizational Coordination Mechanisms; 2.3 Supply Chain Coordination Mechanisms; 2.3.1 Coordinating Transactional Relationships; 2.3.2 Coordination of Hierarchical Relationships |
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2.3.3 Coordination in Heterarchical Supply Chains2.4 Discussion of Focused-On Coordination Mechanisms; 3 Collaborative Supply Chain Planning; 3.1 Types of Collaborative Planning-Based Coordination Mechanisms; 3.1.1 Collaborative Planning in a Narrower Sense; 3.1.2 Collaborative Planning in a Broader Sense; 3.1.3 Alternative Perspectives on Collaborative Planning; 3.2 Discussion of Focused-on Collaborative Planning Coordination Mechanisms; 3.3 Building-Blocks of Collaborative Planning Concepts; 3.4 Process Characteristics of Collaborative Planning Concepts |
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3.4.1 Characteristics Influenced by the Coordinated Supply Chain3.4.2 Coordination Approach-Specific Characteristics; 3.5 Leading Case Studies; 3.5.1 Collaborative Demand and Capacity Network Planning; 3.5.2 Integrated Vehicle-Routing and Lot-Sizing Problem; 3.5.3 Extended Upstream Planning; 3.6 Implications for the Design and Evaluation of Collaborative Planning Concepts; 4 Framework Requirements; 4.1 Addressed Decision Situation; 4.2 High-Level Requirements Analysis; 5 State-of-the-Art in the Design and Evaluation of Collaborative Planning Concepts |
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5.1 Identifying and Selecting Coordination Mechanisms5.2 Modeling, Simulating and Implementing Decentralized Systems; 5.3 Software Engineering Methods; 6 Framework Fundamentals; 6.1 Method for the Design and Evaluation of Collaborative Planning Concepts; 6.2 Collaborative Planning Artifacts; 7 Applicability Assessment for Collaborative Planning Concepts and Artifacts; 7.1 Overview and Approach of the Assessment Component; 7.2 Classification of Supply Chains Coordination Problems and Solutions; 7.2.1 Classification Structure; 7.2.2 Classification Attributes |
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7.3 Matching the Problem and Solution Views7.3.1 General Proceeding; 7.3.2 Complete Matches in the Concept Library; 7.3.3 Partial Matches in the Concept Library; 7.4 Reflection of the Assessment Component; 8 Modeling Collaborative Planning Concepts; 8.1 Overview of the Modeling Component; 8.2 Modeling Collaborative Planning Concepts in the Business Perspective; 8.2.1 Modeling Purpose and Requirements; 8.2.2 Modeling Language Identification and Selection; 8.2.3 Modeling Method; 8.2.4 Reflection of the Business Perspective; 8.3 Modeling Collaborative Planning Concepts in the IS Perspective |
| Summary |
Annotation English summary: Today's globalized business environment is characterized by a strong competitive pressure which requires companies to improve their supply chains' effectiveness and efficiency by coordination. However, the organizational structures are more and more characterized by networks containing equal partners which restricts the application of coordination mechanisms. Collaborative planning aims at covering the resulting requirements and gains more and more attention in research and practice. Within these approaches, the companies' shared decision-space is collaboratively explored and evaluated by means of formally specified interaction processes which are connected to local planning models. These procedures allow to find a mutually agreed and beneficial planning solutions which improve the supply chain's overall performance. Within this domain, a limited degree of practical implementations has been identified. Thus, a large potential for supporting supply chain planners and IT-departments in the selection, customization, and implementation of suitable and promising coordination mechanisms exists. Addressing these potentials, as part of his doctoral studies Peer Kuppers developed the Framework for Intelligent Supply Chain Collaboration (FRISCO). It contains methods and tools for designing and modelling collaborative planning concepts as well as an agent-based simulation environment for the use case-driven and quantitative evaluation of their coordination performance. The framework's utility has been shown in various scenarios from different industries which emphasizes its generalizability. German description: Um dem Leistungsdruck einer globalisierten Wirtschaft begegnen zu konnen, streben Unternehmen verbesserte Koordination zur Steigerung der Supply Chain-Effizienz bzw. -Effektivitat an. Jedoch weisen heutige Organisationsstrukturen, die vielfach durch Netzwerke mit teilweise gleichberechtigten Partnerschaften gekennzeichnet sind, Restriktionen fur Koordinationsmechanismen auf. Die Kollaborative Planung stellt einen Koordinationsansatz dar, der diese Anforderungen berucksichtigt und stetig an Bedeutung in Forschung und Praxis gewinnt. Durch die formelle Spezifikation von Interaktionsprozessen und deren Anbindung an lokale Planungsmodelle wird der Supply Chain-weite Entscheidungsraum kollaborativ durchsucht. So wird - aufgrund der Komplexitat meist IT-basiert - einvernehmliche Koordination erreicht und die Gesamtperformance verbessert.Hinsichtlich dieser Planungskonzepte konnte ein geringer Grad der praktischen Durchdringung und somit grosses Potential zur Unterstutzung von Supply Chain-Planern und IT-Abteilungen in der Auswahl, Anpassung und Implementierung geeigneter Koordinationsmechanismen identifiziert werden. Daher entwickelte Peer Kuppers im Rahmen seiner Promotion das Framework for Intelligent Supply Chain Collaboration (FRISCO). Es enthalt Methoden und Werkzeuge zur Gestaltung und Modellierung Kollaborativer Planungskonzepte sowie eine agentenbasierte Simulationsumgebung zur Bewertung der Koordinationsleistung im Anwendungsfall. Der Nutzen des Frameworks konnte anhand verschiedener Szenarien aus unterschiedlichen Branchen dargestellt und damit dessen Generalisierbarkeit unterstrichen werden.Peer Kuppers, Jahrgang 1981, studierte Technische Informatik an der Technischen Universitat Berlin und Betriebswirtschaftslehre an der Westfalischen Wilhelms-Universitat Munster. Im Anschluss war er als wissenschaftlicher Mitarbeiter am European Research Center for Information Systems (ERCIS) tatig. Im November 2013 erfolgte die Promotion zum Doktor der Wirtschaftswissenschaften. Seit 2015 arbeitet er als Data Scientist im Bereich Internet of Things. Zuvor war er als IT-Projektmanager in der Luftfahrtindustrie tatig |
| Notes |
8.3.1 Modeling Purpose and Requirements |
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Print version record |
| Subject |
Business logistics -- Management
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Business logistics -- Management
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| Form |
Electronic book
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| ISBN |
9783832599560 |
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3832599568 |
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