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Der effiziente Umgang mit den dynamischen Rahmenbedingungen produzierender Unternehmen ist eine der wesentlichen Aufgaben des Supply Chain Managements in Hochlohnländern. Die echtzeitnahe Verfügbarkeit und Verarbeitung planungsrelevanter Informationen nimmt dabei eine Schlüsselrolle ein. Sie stellt die Grundlage für eine realistische Planung und Steuerung der Produktion dar. Die zentrale Herausforderung liegt dabei in der Komplexität der Informationsvielfalt und deren Bewältigung sowie der effektiven Integration menschlicher Intuition und Erfahrung in den Regelkreis des Supply Chain Management. High Resolution Supply Chain Management (HRSCM) beschreibt einen Ansatz, Organisationsstrukturen und -prozesse auf Basis einer hohen Informationstransparenz in die Lage zu versetzen, sich durch dezentralisierte Produktionskontrollmechanismen in Form eines kaskadierten Regelkreismodells selbstoptimierend an ständig verändernde Rahmenbedingungen anzupassen.
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.
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.
Assets of integrated production systems, especially in the heavy industry, are facing high requirements in terms of reliability and availability. In case of component breakdown, the operating firm is confronted with high costs due to downtime and loss of production. Modern maintenance concepts in combination with advanced technologies can help to improve the plant availability and reduce the downtime costs caused by unplanned breakdowns. Against this background, the research institutes FIR and IMR from RWTH Aachen University, Germany, are collaborating within the research project “SiZu”. This project deals with the integration of condition monitoring system and real time simulation to assess the condition of components and to support failure cause analysis.
Das (volks-)wirtschaftliche Umfeld produzierender Unternehmen wird aktuell mehr denn je durch unvorhersehbare und tiefgreifende Veränderungen geprägt. Die deutsche Industrie muss die Dynamik zukünftig aus eigener Kraft beherrschen. Teilweise nachteilige Standortfaktoren müssen kompensiert werden, um die Produktion in Deutschland langfristig zu sichern. Wandlungs- und Echtzeitfähigkeit in Prozessen und Strukturen stellen die zentralen Enabler zur Beherrschung des Produkt-Produktionssystems dar.
Die Hauptherausforderung bei der Entwicklung einer produktionstechnisch geprägten Produktionstheorie darin, eine Verbindung der (produktions-)technischen Teildisziplinen zu einem theoretischen Beschreibungsmodell zu erreichen. Dieses gilt es unter Berücksichtigung der bestehenden Produktionstheorien um eine ökonomische Input-Output-Betrachtung zu erweitern.
Dieser bedarf einer theoretischen Betrachtung des Einflusses von Stellgrößen in verschiedenen Bewertungsdimensionen auf die Wirtschaftlichkeit eines Produktionssystems. Hierzu gilt es die relevanten Einflussgrößen und deren wechselseitigen Abhängigkeiten in einem Modell zu verknüpfen, welches die Grundlage zur Bestimmung des optimalen Betriebspunktes des Produktionssystems darstellt. In diesem Modell sollen formale Submodelle aus unterschiedlichen Fachdisziplinen analysiert und integriert werden, wodurch sichergestellt wird, dass der Stand der Forschung aus den produktionstechnischen Fachbereichen, wie der Fertigungstechnik, Werkzeugmaschinen, Logistik und Produktionsplanung und -steuerung (PPS), genutzt wird, um den ökonomischen Einfluss der Einflussgrößen zu quantifizieren.
Holistic PLM- Model
(2010)
Product Lifecycle Management (PLM) is a widely discussed topic concerning the increase of efficiency of product development in terms of time to market as well as customizing products to the different needs of customers worldwide adequately. Historically PLM focuses the early phases of the product’s lifecycle, namely the product development phase. Therein the roots of PLM are based in supporting the information logistics of product data: Consistent data sets should be available to all stakeholders in the different departments at all times. Due to the increasing product complexity PLM has to be extended in terms of the temporal dimension (not limited to product development phase) and systemic dimension (not limited to the information logistic aspect). In this paper the authors derive a holistic framework for Product Lifecycle Management by analysing existing integrated management approaches. The framework consists of four dimensions: PLM strategy, PLM process, Product structure and PLM IT-Architecture. The sustainability and benefits of the framework is demonstrated by applying the framework to the communication service provider industry (CSP).
Industrial companies face tremendous challenges to plan the resources needed to meet future market demands when implementing a PSS based solution portfolio. This paper deals with enhancing the PSS research landscape by presenting an approach to enable better resource-planning in PSS based businesses. In particular, a model is proposed which links resource structures with customer offerings. Linkages are implemented, which connect resources and their use in processes. The model contributes to better understand the complexity in resource structures and elements in the PSS and helps to better understand and describe the structural integration of resources in PSS. This is an important prerequisite for the planning of PSS and allows a qualitative and quantitative description of the service resources allocation enabling companies to build the competence needed to meet customer requirements. A case study based approach was applied for model development.
Industrial Service Providers (ISP) are exposed to constantly raising competitive pressures regarding both cost and performance aspects. The massive challenges caused by the current worldwide financial and economic crisis even intensified the need for process optimizations aimed at increasing the productivity of service production. To reach this goal the evaluation and elimination of waste in their production processes becomes a crucial ability for ISPs. This paper proposes a new approach for increasing productivity in service production processes using a generic measurement model for the detection and evaluation of waste. The model is based on established lean management principles, but tailored to the specifics of ISPs by adopting a customers’ perspective to track down and eliminate waste. The evaluation builds on an in-depth-analysis of particular types of waste in the industrial service production processes. Viewed from the customers’ perspective and taking into account the specific characteristics of services (e.g. intangibility, heterogeneity, inseparability, and perishability) and service production (e.g. volatile demand, a tendency to over-capacity, and limits to planning) the approach employs a service blueprint reference model to then determine the different types of waste in the various parts of the service production process.