Autor: Bernd Scholz-Reiter

Planning and control of logistics processes is more and more determined by an increasing complexity of structure of logistics networks and dynamics. However, in many aspects methods and tools for a comprehensive analysis of large-scale logistics networks are missing. This set of problems is the object of investigation in the new research project ‘Stability, Robustness and Approximation of Dynamic Large-Scale Networks - Theory and Applications in Logistics Networks’ founded by Volkswagen Foundation. The project will be run in a dual way: Mathematicians from the university of Bremen und the university of Würzburg cooperate with researchers from the field of engineering of the university of Bremen.

Even during ramp-up phases technical product changes are inevitable. Swift and spontaneous reaction is therefore required for meeting the set market entry date. At the same time, risk estimation of different solution alternatives is needed to evaluate the effects of product changes on product and processes. In this context unstructured procedures observed in practice lead to unsatisfactory solutions and unforeseeable effects. This dilemma of product change management has been countered with the development of PMEA (Product Change Mode and Effect Analysis) and its combination with TRIZ (Theory of Inventive Problem Solving).

The People’s Republic of China has developed into an important national economy, which is fully integrated into the world’s economy. China’s apparel industry already leads the world in production and exports. This article describes China’s position within the global apparel industry and shows some effects onto the logistics of the branch. Additionally a project is being introduced which may contribute to solving some problems in intra-logistic processes of the branch.

This paper focuses on the application of a bee-like autonomous control method to a matrix-like shop floor model with setup times.Apparently present planning and control systems are unable to cope with the new needs for flexiblity and process reliability resulting from dynamics and complexity in the environment. Autonomous control means de-centralized coordination of intelligent logistic objects in a dynamically changing environment. By the aid of a continuous flow simulation the system’s performance will be analyzed in regard to the application effect on throughput times and inventory levels.

Against the backdrop of increasing importance of ecological aspects within all company functions, logistics has to be repositioned to comply with upcoming ecological challenges. This article introduces the concept of ecologistics and its measures within all fields of corporate logistics. As an example distribution logistics is detailed in its effort to consider ecological relevant aspects within the planning and control and the configuration of logistical structures.

Autonomously controlled transportation processes require decision making of logistic objects regarding routing alternatives. In this contribution a multicriterial evaluation assessment procedure is introduced basing on the fuzzy hierarchical aggregation, adapted and further developed at the CRC 637 “Autonomous Control of Logistic Processes” at Bremen University. The main design focus was user-friendliness within autonomous control and other fields of application. The example of use is a hierarchical structure of the subcriteria characterising the routing alternatives of an autonomous package. It is shown that the procedure can consider unprecise and fuzzy formulated knowledge directly in the model, while parameter adjusting was reduced to a minimum. Different weightings and compensation effects of subcriteria are depicted. The contribution shows the evaluation on a two-subcriteria basis and the possibilities of multicriterial evaluation as well. The evaluation of hard and soft ...

In a production network, teams or companies exchange information and products to create value. The competitive advantage of the team / company relies on that of the network. This paper addresses knowledge management in a production network especially the promotion of knowledge sharing and transfer. This is a substantial issue when, for example, a company comes to leave the network voluntarily or disappears because of natural or man-made catastrophes. In this case, the question remains whether the substituting company can acquire the tacit knowledge needed to fulfil its mission. Consequently, the operation of the network is also an acute issue. The paper proposes a methodology based on organisational and interorganisational learning and develops a learning laboratory that facilitates knowledge sharing and transfer. This lab supports, (a) knowledge sharing through the mental map’s knowledge elicitation of every company’s leader, and (b) knowledge transfer via dedicated learning-based ...

Mastering dynamics and complexity of logistic systems will continue to gain in importance in the future. One possibility to cope with this challenge is the concept of autonomous logistic processes. This article sketches a framework for engineering autonomous production systems on the basis of systems engineering. The main focus is put on a procedure model guiding through the process of system specification.

The increasing demand of hybrid micro-technical systems resp. products in small to middle size lots, requires on the one hand new concepts from the micro production engineering and the production process planning and on the other hand methods for the development of micro production systems. Taking the postulation „small machines for small components“ into account, Micro Factories consist of highly specialized mini machines, each having a footprint of about 0,09 m² in comparison to 5 m² of conventional systems [1]. Micro Factories are arranged independently for each task to form a complex production system. Viewing the use of mini machines in micro production from the perspective of the production process, a concept for using adaptive, automatic quality control loops is proposed.

Production logistics has seen the introduction of autonomous control strategies, which had been implemented with different modelling methods. Additionally a standardising body of tools for the evaluation of autonomous control strategies has been set up. This article presents a framework, which helps to identify the appropriate autonomous control strategy together with the corresponding modelling approach for given production logistics scenarios.