Regional logistics demand prediction directly affects regional economy development and logistics planning. Grey prediction, BP neural network, grey neural network and other methods have been widely used in the prediction of complex nonlinear logistics demand system. In this study, an improved grey neural network model was proposed based on these models. First, in this model, the grey influence ...

Modern logistics systems are characterized by an increasing structural complexity and dynamicity, which arises from trends in the global economy, decomposition of supply chains and individual customer demands. These trends have amplified the need for greater flexibility in the (re-)configuration of supply chains and, additionally, the demand to move from centralized to decentralized IT solution...

The increasing complexity in order processing of today’s logistics systems requires a reorganisation of existing planning and control systems, which do not allow a fast and flexible adaptation to changing environmental influences. Autonomously controlled logistics processes seem to be an appropriate approach to meet these new demands. In the context of this paper the changes in modelling of aut...

This is a case study of a coal mining company to demonstrate how algebra principles and nonlinear goal programming can be applied for logistics planning using spreadsheet software. The paper asserts that mathematical programming techniques are not well-accepted by managers because the models are difficult to understand due to abstract notational conventions yet alternative commercial software i...

This paper discusses the analogical/case-based planning approach developed in PRODIGY/ANALOGY. The technique involves planning for complex problems by the multi-case reuse of simpler past plans that are conjunctively similar to a new planning situation. The paper demonstrates this effective incremental planning strategy by providing empirical results on the performance of PRODIGY/ANALOGY solvin...

Local-search approaches promise very interesting features for planning, such as an anytime computation and an uncomplicated handling of the environment's dynamics. However, most local-search approaches require the availability of maximal structures what causes problems of scalability. Local search within a generative planning process is rarely looked into. This article presents some basic heuri...

Local-search approaches promise very interesting features for planning, such as an anytime computation and an uncomplicated handling of the environment’s dynamics. However, most local-search approaches require the availability of maximal structures what causes problems of scalability. Local search within a generative planning process is rarely looked into. This article presents some basic heuri...

Over the past years an increase in complexity of production and logistics systems regarding organisational, time-related and systemic aspects could be observed (Philipp et al. 2006). As a result, it is often impossible to make all necessary information available to a central entity in real time and to perform appropriate measures of control in terms of a defined target system. This development ...

This paper describes ODMP (Operator Distribution Method for Parallel Planning), a parallelization method for efficient heuristic planning. The method innovates in that it parallelizes the application of the available operators to the current state and the evaluation of the successor states using the heuristic function. In order to achieve better load balancing and a lift in the scalability of t...

A key requirement for a successful facility planning and design is to become suitable for new use as well as to be adaptable for new products, technologies or capacities. The software solution "Workbench" is designed for an Information Infrastructure System for the planning of large logistics networks as well as for the network structures of the facilities in an enterprise. The "Workbench" ensu...