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Bestseller
BestsellerE-book
Author Heckmann, Iris, author.

Title Towards supply chain risk analytics : fundamentals, simulation, optimization / Iris Heckmann.

Publication Info. Wiesbaden : Springer Gabler, [2016]
©2016

Item Status

Description 1 online resource (xxii, 411 pages).
text file PDF
Physical Medium polychrome
Series Springer Gabler Research
Springer Gabler research.
Bibliography Includes bibliographical references.
Contents A New Definition of Supply Chain Risk -- Supply Chain Risk Analysis.- Common Flaws, Core Areas, and Main Tasks -- A Simulation-based Approach for Supply Chain Risk Analysis (SimSCRF) -- A Real Case Evaluation of the SimSCRF Approach -- Embedding Comprehensive Risk in Supply Chain Network Design Models.
Summary In this thesis, Iris Heckmann develops a profound conceptual basis of supply chain risk analytics. She transfers the newly defined concepts for the modelling and operationalization of supply chain risk within simulation and optimization approaches, in order to ease unexpected deviations and disruptions, which are subsumed under the notion of supply chain risk, increasingly aggravating the planning and optimization of supply chains. Content • A New Definition of Supply Chain Risk • Supply Chain Risk Analysis - Common Flaws, Core Areas, and Main Tasks • A Simulation-based Approach for Supply Chain Risk Analysis (SimSCRF) • A Real Case Evaluation of the SimSCRF Approach • Embedding Comprehensive Risk in Supply Chain Network Design Models Target Groups • Lecturers and students of management and operations research • Professionals in the field of supply chain management, supply chain planning, risk management About the Author Iris Heckmann started as a research scientist at the FZI Research Centre for Information Technology in Karlsruhe and headed the department of Risk-aware Logistics: Supply Chain and Health. Since April 2016 she is division head of the research division Information Process Engineering. Her research focuses on developing mathematical optimization approaches for supply chain risk analytics.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Business logistics -- Simulation methods.
Business logistics.
Simulation methods.
Risk assessment -- Simulation methods.
Risk assessment.
BUSINESS & ECONOMICS -- Industrial Management.
BUSINESS & ECONOMICS -- Management.
BUSINESS & ECONOMICS -- Management Science.
BUSINESS & ECONOMICS -- Organizational Behavior.
Business.
Business -- Data processing.
Decision making.
Information technology.
Operations research.
Genre/Form Electronic books.
Other Form: 3658148691
ISBN 9783658148706 (electronic book)
3658148705 (electronic book)
9783658148690
Standard No. 10.1007/978-3-658-14870-6