Green machining strategies can affect several aspects of a manufacturing system including part quality, which must remain sufficient to ensure the product's value. Improved part quality can also reduce life cycle environmental impacts through increased resource efficiency, which adds a further consideration. This paper quantifies the impact of these strategies on the achieved surface quality of turned titanium in the context of various resource costs including electrical energy, tool wear, and service costs. The results suggest that the final surface quality is most influenced by the finish cut(s) and feed rate. Part functionality is also an important consideration for resource efficiency.

Manufacturers have pursued green machining strategies, such as process time reduction, to address the demand for environmental impact reduction. These strategies, though, increase the stresses on the manufacturing system, which can affect availability, service life, achieved part quality, and cost. This study presents a total cost analysis of process time reduction for titanium machining to holistically consider the implications of such strategies. While the results suggest it may not be a viable green machining strategy for titanium machining, the feasibility of process time reduction as a greening solution is highly dependent on the functionality of the finished part.

The estimation of trustable reliability figures for machine tools is a considerable challenge. The main reasons are the sparse availability of relevant components’ lifetime data as well as the load-dependence of reliability. The proposed paper presents a method to estimate increasingly trustable load-dependent reliability figures for machine tools using design information to estimate the reliability if no field data is given, service knowledge of an existing service department which monitors field maintenance of the products and documented field data of spare parts sales, service and maintenance activities.

In the last decade, reliability improvement warranties (RIW) became increasingly popular with customers of machine tool manufacturers especially in the automotive industry. These RIWs include long term warranties (for up to 10 years) for reliability figures like the Mean Time Between Failure (MTBF). The long warranty period, the stochastic nature of reliability, unknown operational conditions and un certainties regarding the reliability parameters of a component bear the risk of cost through high recourses due to low reliability. The paper shows approaches to lower the risks of high recourses in the bidding process and during operation of machine tools. The methods described in the paper are based on statistical failure analysis with the Weibull distribution and Monte Carlo simulation based warranty prognosis. It is shown that with a good knowledge of the infield reliability of their products, machine tool manufacturers have opportunities to not only calculate but also to lower risks of reliability improvement warranties.

Concerning Industrial Product Service Systems (IPS2) in machine engineering, the challenge for the supplier exists in the determination of the expenses for the provision of the included services over the life cycle of the IPS2 before the start of contract. Thus, in this paper an approach is presented which explains how a supplier of an IPS2, which consists of a machine together with a warranty of availability, can determine his expenses for the warranty. In doing so, the underlying actual operating- and load-dependent failure behavior is taken into account to estimate the supplier’s serviceability to provide the warranty.

Recently, an increasing number of customers of the machine tool industry have applied life cycle costing (LCC) to compare the cost-effectiveness of different investment options. These concepts have mainly been used to address maintenance costs since these have proven to be one of the most important cost drivers. The approach of life cycle performance (LCP) broadens LCC by considering the relationship between the costs and benefits of a machine over its entire life cycle. With the increasing importance of environmental consciousness, it has become crucial to incorporate environmental impact when evaluating machines. A framework is presented that enables the integration of green manufacturing principles into LCP-evaluation. The role of interoperability within this framework is also discussed.

Kurzfassung Gerade in konjunkturschwachen Zeiten versuchen Unternehmen aller Größenordnungen durch innovative Dienstleistungen die Bindung ihrer Kunden zu erhöhen, um rückläufige Umsätze mit Neumaschinen aufzufangen. Allerdings stoßen nicht alle von den Anbietern als innovativ formulierten Dienstleistungen auf die Akzeptanz der Kunden. Im Rahmen des Forschungsprojekts „Wissenstransfer und Grundlagenbereitung für technische Dienstleistungen im Maschinen- und Anlagenbau (WiTal)“ wurde eine umfassende Potenzialanalyse in Form einer Unternehmensbefragung durchgeführt, um zu untersuchen, welche Dienstleistungen für Kunden und Anbieter zukünftig von besonderer wirtschaftlicher Relevanz sind. Der Fokus liegt dabei auf so genannten verfügbarkeitswirksamen technischen Dienstleistungen, die zum einen das Ausfallverhalten von Produktionssystemen berücksichtigen und zum anderen die Verfügbarkeit des Produktionssystems direkt verbessern. Im Folgenden werden die Herangehensweise bei der Potenzialanalyse sowie die detaillierten Ergebnisse der Analyse vorgestellt.