Opposites Attract: An Approach to Collaborative Supply Chain Management between Semiconductor and Automotive Companies

This article illustrates the differences between the semiconductor and the automotive industry and the subsequent challenges to their common supply chain. The weak points at the interfaces between the two supply chains will systematically be identified and assessed. Based on this analysis, a toolkit for collaborative supply chain planning and execution between the automotive and the semiconductor industry is presented. A fit/gap analysis assesses the measures and their potential to solve the supply chain challenges in a systematic manner. The model is built upon existing supply chain management frameworks and defines a set of specific optimization measures for the problem at hand. These are designed to ensure a better alignment of planning and control processes between the automotive and the semiconductor industry.

[1]  Helmut Baumgarten,et al.  Versorgungsstrategien in der Logistik : Konzeption eines modularen Entscheidungsmodells , 2004 .

[2]  Patrick T. Harker,et al.  The Analytic hierarchy process : applications and studies , 1989 .

[3]  Leon F. McGinnis,et al.  Are simulation standards in our future? , 2009, Proceedings of the 2009 Winter Simulation Conference (WSC).

[4]  Thomas Bauernhansl,et al.  Collaborative Value Chain Management between Automotive and Semiconductor Industry: An Analysis of Differences and Improvement Measures , 2013 .

[5]  Willi Diez,et al.  Grundlagen der Automobilwirtschaft , 1994 .

[6]  Thomas L. Saaty,et al.  Decision Making for Leaders: The Analytical Hierarchy Process for Decisions in a Complex World , 1982 .

[7]  Bruce L. Golden,et al.  Celebrating 25 years of AHP-based decision making , 2003, Comput. Oper. Res..

[8]  Volker Lingnau,et al.  Aufbau eines kognitionsorientierten Risikocontrollinginstrumentes: Unterstützung der Risikobewertung mittels des Analytic Hierarchy Process , 2007 .

[9]  Christopher M. Moore,et al.  Apparel quick response systems: the manufacturer perspective , 2006 .

[10]  J. Holmström,et al.  Supply chain collaboration: making sense of the strategy continuum , 2005 .

[11]  Heinrich Rommelfanger,et al.  Entscheidungstheorie : klassische Konzepte und Fuzzy-Erweiterungen ; mit 109 Tabellen , 2002 .

[12]  Patrick T. Harker,et al.  The Art and Science of Decision Making: The Analytic Hierarchy Process , 1989 .

[13]  Thomas Bauernhansl,et al.  A Reference Model for Collaborative Capacity Planning Between Automotive and Semiconductor Industry , 2012 .

[14]  Matthias Zapp,et al.  A More Reliable Supply of Semiconductor Components , 2011 .

[15]  O. Joseph Akomode.  risks in new product development and the satisfaction of customers through technology , 1999 .

[16]  Alexander Zeier,et al.  Collaborative SCM in Branchen , 2003 .

[17]  Aaron D. Arndt,et al.  Supply chain collaboration: what's happening? , 2005 .

[18]  Paul Schönsleben.  Integrales Logistikmanagement : operations und supply chain management in umfassenden wertschöpfungsnetzwerken , 2007 .

[19]  H. Werner,et al.  Supply Chain Management , 2020 .

[20]  Bill Dibenedetto.  Collaborate or die , 2010 .

[21]  Thomas L. Saaty,et al.  Models, Methods, Concepts & Applications of the Analytic Hierarchy Process , 2012 .

[22]  V S Davey,et al.  2 – DEFINITIONS AND GLOSSARY , 1999 .

[23]  J. Boppert,et al.  Logistik im Zeichen zunehmender Entropie , 2007 .

[24]  S. Ward,et al.  Analytical Planning — The Organisation of Systems , 1987 .

[25]  Stephen Michael Disney,et al.  The effect of vendor managed inventory (VMI) dynamics on the Bullwhip Effect in supply chains , 2003 .

[26]  T. Saaty.  How to Make a Decision: The Analytic Hierarchy Process , 1990 .

[27]  D. Lambert,et al.  Supply Chain Management: Implementation Issues and Research Opportunities , 1998 .

[28]  Stanley Marcus.  Minding the store , 1998 .