The efficient dealing with the dynamic environment of production industries is one of the most challenging tasks of Supply Chain Management in high-wage countries. Relevant and current information are still not used sufficiently, to handle the influence of the dynamic environment on intra-and inter-company order processing adequately. Among other things, the problem is caused by missing or delayed feedback of relevant data. As a consequence of that, planning results differ from the actual situation of production. High Resolution Supply Chain Management describes an approach aiming on high information transparency in supply chains in combination with decentralized, self-optimizing control loops for Production Planning and Control. The final objective is to enable manufacturing companies to produce efficiently and to be able to react to order-variations at any time, requiring process structures to be most flexible.
Companies in high wage countries are increasingly confronted with the challenge of optimizing economies of scope and economies of scale simultaneously to succeed on a global market place. An integrated assessment of production systems facing this challenge is essential to evaluate the actual state of a company and to provide a basis for drawing the right conclusions to reconfigure production systems successfully. In this paper an integrated model for measuring economies of scope as well as economies of scale is introduced, defining the fundamental domains of a production system. The major objectives resulting from the overall scale-scope dilemma are broken down for each domain and the main dimensions for an assessment of each domain are defined. A new measure named Degree of Efficiency is defined, quantifying the fulfillment of the opposing objectives in each domain and hence, the contribution to an overall resolution of the scale-scope dilemma.
Kurzfassung
Auf Grund veränderter Marktanforderungen wird das unternehmensinterne Kostensenkungsdenken durch das Ziel ergänzt, logistische Leistungskenngrößen über alle Wertschöpfungsstufen hinweg zu optimieren. Das Supply Chain Management (SCM) liefert eine Vielzahl von Konzepten, um diesen ganzheitlichen Ansatz in die Praxis zu überführen. Die Konzepte werden jedoch mangels einer geeigneten Strukturierung und einem damit verbundenen komplexen Auswahlprozess nur zögerlich in die Praxis umgesetzt. Dieser Artikel stellt einen Ansatz vor, mit dessen Hilfe die Vielzahl der Konzepte strukturiert und typologisiert werden kann. Die Konzepte werden zunächst an Hand einer Morphologie inhaltlich charakterisiert. Anschließend werden mittels einer Clusteranalyse Typologien der Konzepte abgeleitet. Mit Hilfe dieser Zusammenfassung der Konzepte zu Gruppen kann letztendlich die Anzahl der Alternativen, zwischen denen Unternehmen vor einer potenziellen Implementierung abwägen müssen, verringert werden.
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