Adaptability

Flexibility becomes increasingly the crucial success factor. This is the result of a current survey on small and medium-sized enterprises in Germany. More than a quarter of the participants indicated that flexibility was their most important business goal. What this result means for the personnel policy of a company and in the end for its employees is the focus of this article. The here presented survey is part of the BMBF project “FlexPro” that investigates different strategies of internal flexibilization as well as determinants of using external workers, especially temporary agency workers.

Nowadays, a central challenge for modern production systems is the modulation and alignment to permanent technological, economic, political and social developments. These aspects demand anticipatory acting as well as fast reactions. In this context, working persons mostly are inadequately taken into account to organize a flexible and proactive company. In this article, we develop and assess workers skills in versatile production systems along process sections of a full product development process. We show consequences for vocational structures in training skilled workers in the production line.

Due to the concentration of core competences and the utilisation of international location advantages successful German production companies face a situation with globally dispersed sites in global value added networks. The ongoing globalisation, which includes the integration of external sites, suppliers and partners, leads to complex interactions within networks. However, these interactions are not or are simply partially known and not predictable so far. Being able to control dramatic dynamics in the behaviour of global value added networks, German production companies will be positively affected by globalisation in the future. Therefore, changeable global value added networks which can be quickly adjusted to dynamics become crucial. The paper on hand describes an approach for the planning and optimization of adaptable global value added networks. Background is the approach of the research project “planning and optimization of changeable global value added networks” (POWer.net) ...

This paper describes a process oriented method for the planning of versatile production as well as logistics systems. The authors demonstrate how the necessary structures, resources and management capacities can be calculated by using a simple six step planning procedure. Due to the numerous potential applications, the holistic approach as well as the relatively basic design it is possible to file planning results sorted. In doing so, factory designers can compare them easily with new challenges emerging. In combination with permanently available simulation models the process oriented planning procedure is a significant step towards permanent planning disposition.

Since the beginning of the 1990s the business environment of manufacturing industries has changed permanently. A majority of production systems have a lean, cost-effective and process-oriented structure. But this is still not enough for being successful in the long-term. The key factor for meeting challenges of a global market is the changeability of production systems. Instead of their recurring re-planning and rescheduling, they should be designed changeable right from the beginning of the planning phase. Time data is an important calculation and planning basis for this. In this paper we present a concept for dynamic time data management in planning and designing changeable production systems.

Changeability is the capability of an organization to establish changes with a lasting effect. The possibility to correctly plan and create changeability of an organization already in the phase of plan-ning is an essential factor to be taken into account when considering changeable logistics systems. For this reason there is a need for conceptual change of established planning methods. In the context of discrete-event simulation, as an established planning method, the modular design of simulation models may be a first step to include changeability into model-based analysis. Against this background, This article discusses possibilities to build modular simulation models and shows how this modular design can be used in practice.

The purpose of this paper is to show how corporate strategy can be aligned with the production system of an enterprise to derive an operations strategy. Consequently, the operations strategy is employed to define prospective needs of agility. The research methodology builds upon action research that is realized in a long-term approach with two joint manufacturing companies. Both can be classified as small and medium sized enterprises (SME). The preliminary findings underline the importance of a holistic view towards agility emphasizing organization and people as major drivers of agility. These drivers are addressed by means of a playful intervention with LEGO-bricks.

Several internal and external factors influence the performance of manufacturing systems. They increase the requirements for the logistic system’s flexibility, robustness and adaptability. Changeable manufacturing and autonomous control of logistic processes are capable to cope with the complexity and dynamic induced by these factors. Using a case study of an apparel manufacturing company, this article explains how autonomous control can be used to enable changeable manufacturing. It describes five enablers for changeability for the control system solution presented in the case study.

For the design of an agile production system in addition to the holistic view of production and its internal and external links, a detailed analysis of individual components is necessary. These elements are general manufacturing equipment in various types of expression. To investigate and valuate the properties of these components primarily key figures and indicators are used. In the field of facility and maintenance management the Overall Equipment Effectiveness (OEE) parameter is widely used to determine the equipment efficiency. This indicator is an integral part of a holistic maintenance management. Recent developments use the OEE value as a basis to evaluate the whole value chain to get a holistic view of the included equipment. This integrated approach is an essential component for assessing the flexibility of production systems, which presents itself in three different dimensions.

Nowadays, the economic determining factors are volatile and change dynamically leading to high uncertainty and risk for supply chain partners. Increased supply chain flexibility is not only considered as a success factor but is also essential for companies to remain competitive. The present article is based on selected results from expert interviews, a focus group as well as a survey analysing the status quo concerning supply chain risk management and the importance of flexibility. Afterwards, a process model is presented which consists of an approach to deduct strategies and measures in order to adjust supply chain flexibility in a structured way. The approach can be implemented for risk mitigation in practice.