production network

Digital product passports are becoming increasingly mandatory for monitoring saving targets within the framework of EU-wide emission reductions. DPPs can enable a standardized exchange of emissions data along the entire product life cycle. A framework for systematic introduction and targeted use can simplify their often difficult practical integration, especially for small and medium-sized companies.

There is a variety of empirically validated methods for implementing pull-systems in the manufacturing industry, but pull-based replenishment for the process industry remains a research gap. This article describes the development of a model for implementing a pull-system for an intracompany production network in the process industry and its validation in a case company.

Global production networks connect partners with outstanding expertise, and make use of regional cost advantages for purchasing and production operations. This development leads to an increasing structural complexity of the networks, which is accompanied by a closer collaboration of dynamic logistics processes. Hence, the resulting dynamics of a large-scale production network is characterized by the dynamics of the individual logistics processes, the dynamics of the network structure and dynamics of the external processes that affect the production network. However, in practice a lack of adequate procedures for the analysis and design of these networks can be observed. The presented article addresses this need by introducing tools and methods for the approximation of large-scale production networks, analysis of their dynamics and the robust design of the network resources.

The continuing change of producer markets towards buyer markets has a strong impact on the competition between manufacturing enterprises. As a strategic answer collaborative networks such as virtual corporations, virtual enterprises or virtual factories have been discussed since the beginning of the 90ies of last century. Many models and concepts supporting the life cycle of such organisations - consisting of the creation, operation and dissolution phases - have been presented. An important aspect in the creation phase is strategic planning. This phase is supported by concepts of long-term networks like industrial clusters or regional networks which act as a virtual breeding environment and which enable the short-term creation of virtual organisations. Especially this phase needs support of strategic planning which can be seen as a part of the strategic management process. This paper shows that such virtual breeding environments can be seen as complex systems and how system oriented ...

The bullwhip effect leads to instabilities in supply chains. Research on this phenomenon stresses the normative approach. This means that the causes of the bullwhip effect are identified within the structure and processes of the supply chain. However, the bullwhip effect persists even when the operational causes are under control, or when demand information is stationary and known to all parties. Most of all, the influence of behavioural decision making on the bullwhip effect has been underestimated. This is why the paper strives to shed light on this aspect by resorting to a simulation game, the supply net game, for learning inventory control in production networks. The experimental results, involving 130 participants, show that the decision pattern of counterintuitive decision making produces and reinforces what it is thought to lessen namely the bullwhip effect. This happens whenever the participants restrain from ordering while backlogs are building up or continue to order while ...

Production Ramp-Ups are crucial for an industrial companies´ success. Business processes have to be controlled throughout the entire Production Network, what could be ensured by the use of modern workflow-based control methods. So far it is still questionable what should be the workflow’s goal. Looking at a ramp-up along the supply chain the process consists of a large number of local ramp-ups. For this a prognosis system will be introduced which allows an educated guess on the development of the number of pieces during the ramp-up. The prognosis is founded on a knowledge-based approach and does rely on multivariate data analysis. This will lead to a ramp-up forecast which could offer strategic aims into workflow-based network control tools.

Due to shortening product life cycles, complex supplier networks and an increasing number of parties involved, the decision making process has become both more critical and more difficult. The complexity and dynamics of the ramp-up phase make it necessary to not try to concentrate the decisions in on hand, but rather distribute decisions among decentralized yet competent decision makers on-site. It is, however, necessary to provide the decentralized decision makers with the basis and the capability of decision making, and a joint target system to ensure optimal outcome. The paper presents a heuristic approach to design and operate production ramp-up appropriate to stable and efficient ramp-up processes.

Autonomous control strategies for production logistic processes have already demonstrated their effectiveness on the shop-floor level. This article can be understood as a proof of concept: It is exemplarily shown that a pheromone-based autonomous control strategy can lead to better performance than a central control system when applied to a production network regarding production and transport logistic processes in a holistic way.

The paper describes a game called the Supply Net Game, built around the structure of a production supply network based on the “anchoring and adjustment heuristic” which is known as the one people use to make inferences about uncertain events. The game involves four players where everyone manages his manufacturing unit that consists of four production lines which proceed to the joint development of products with the other units. While planning production and controlling inventories, every person should try to minimize the costs caused by both holding items on stock and being in an out-of stock situation. The paper stresses the valuable impact of management games for production engineering education in general and particularly the significance of learning implicit skills as well as gaining insight in inventory control and management of complex distributed production systems such as the system dynamics production network model introduced in the paper.