Ijioui / Emmerich / Ceyp Strategies and Tactics in Supply Chain Event Management

1. Auflage 2007
ISBN: 978-3-540-73766-7
Verlag: Springer
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 362 Seiten, eBook

This book aims at assisting global industry in its challenge of expansion within a world of ever increasing globalisation. The book wants to make the reader aware of the importance of transparent business processes and provides knowledge c- bining latest scientific findings and best practice in the high-tech industry. Major Companies provide comments and solutions drawing on their experience with - gard to their special requirements with regard to Supply Chain Event Management (SCEM). Some model cases and examples give practical solutions in a tangible manner. Leading scientists in companies, managers, universities and research - stitutes explain and provide information about probable future requirements - garding SCEM development. This book will assist not only the larger companies but also any smaller ent- prises, such as Interturbine Logistik GmbH, in their efforts towards international speed delivery, service technology and competitiveness. It serves the common goal of networks transparency hereby offering significant cost reduction and p- viding ground for service performance enhancement, creating a base for total or partial business re-engineering. For this achievement I like to express my admiration to the University of Aachen (RWTH) that has been able to combine science and the highly performing industry in order to gather all knowledge available at present in this compacted format (for more on this topic, see article by Raschid Ijioui on page 267 et seq.).

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Ijioui, Raschid

Emmerich, Heike

Ceyp, Michael

Inhaltsverzeichnis

Conceptual Design and Case Studies of Supply Chain Event Management.- Transparency in Global Supply Chain Networks — Methods and Tools for Integrated Supply Chain Event Management.- Supply Chain Event Management in the Pharmaceutical Industry — Status and Outlook.- Event Based Process Performance Management.- Interfaces @ Supply Chain Event Management.- Proactive Event Management in the Supply Chain of Aircraft Spare Parts.- Supply Chain Event Management: Managing Risk by Creating Visibility.- Supply Chain Risk Management: A Neural Network Approach.- Performance Management in the Value Chain.- Supply Chain Event Management in the Retail Sector — Three Steps to Success.- Design, Implementation and Evaluation of a Performance Measurement System for Virtual Enterprises in the Aerospace Industry.- Usage and Promotion of Employee Potentials in Modern Production Systems.- Added Value by Outsourcing of SCEM Solutions: Background and Technical Basis.- Holistic and Pragmatic Approach on Proactive Supply Chain Event Management.- Supply Chain Event Management (SCEM): A Strategic Application of Business Process Management (BPM).- Supply Chain Event Management: Innovation in Logistics Services.- SCEM-System to Support the Development of Consumer Promotion.- Dynamic Models for Simulation and Optimization of Supply Networks.- Design of an Organisational Structure to Govern the Dynamic Behaviour of Aviation-oriented Orders with Multiple Priorities.- Focused Interviews.- SCEM at Telecommunications Service Providers — Useful or Superfluous?.- The Change of REFA Methods by Supply Chain Event Management Considering Globalisation.- Supply Chain Event Management by FORD of Europe.- Supply Chain Event Management in the Financial World.- A Personal Field Report.- Supply Chain EventManagement & Strategic Networking.

Leseproben

Supply Chain Risk Management: A Neural Network Approach (p. 99-100)

Frank Teuteberg
E-Business and Information Systems & Research Center for Information Systems in Project and Innovation Networks (ISPRI),
Katharinenstraße 1, 49074 Osnabrück, Germany

Introduction

Effective supply chain risk management (Hallikas et al. 2002, Harland et al. 2003, Henke et al. 2006) requires the identification, assessment and monetization of risks and disruptions, as well as the determination of the probability of their occurrence and the development of alternative action plans in case of disruptions (cf. Zsidisin 2003, Zsidisin et al. 2004, Zsidisin et al. 2000, Vidal a. Goetschalckx, 2000). Companies traditionally use multiple sources for material procurement and/or hold safety stocks to avoid vulnerability. However, these strategies can negatively impact the supply chain performance, leading to higher purchase and logistics costs. The aim of this chapter is to illustrate how the implementation of the supply chain risk management concept can be improved by using a neural network approach.

The chapter is organized as follows: in the next section basic and theoretical concepts of supply chain risk management are presented. Section 3 outlines a framework for categorizing and analyzing risks in supply chains. In section 4, we present a neural network approach that can be applied to assess various risks in supply chains. In section 5 preliminary results of our neural network experiments are presented and discussed. In the final section some conclusions are drawn. We also provide recommendations for future research.

Supply Chain Risk Management – Theoretical Background

Since the mid-eighties the supply chain management concept has been discussed intensively in practice and within the scientific community.

However, besides enjoying successes, the supply chain management approach also faces new challenges (Barry 2004, Jung et al. 2004). The occurrence of new risks such as uncertain demand, the increasing vulnerability of supply chains due to trends such as globalization, saturation of markets or terrorist attacks have forced companies to establish new concepts for risk assessment. It is therefore necessary to define a "manageable" security/risk level which is ultimately a socalled trade-off between supply chain costs, security and performance (e.g. taking on responsibility in the case of disruptions in supply chains). Thus the supply chain management concept has to be enhanced by methods of complexity and risk management. Figure 1 illustrates the trade-off between supply chain costs and supply chain security.