Core-periphery networks are structures that present a set of central and densely connected nodes, namely the core, and a set of non-central and sparsely connected nodes, namely the periphery. The rich-club refers to a set in which the highest degree nodes show a high density of connections. Thus, a network that displays a rich-club can be interpreted as a core-periphery network in which the cor...

In this research, we have investigated the interaction between product platform development and supply chain configuration in a global environment. A comprehensive decision support model has been developed to simultaneously determine product strategy and supply chain configuration. By Products we refer to the bundle of module option alternatives offered to market segments, and product platform ...

The call for more effective integration of science and decision making is ubiquitous in environmental management. While scientists often complain that their input is ignored by decision makers, the latter have also expressed dissatisfaction that critical information for their decision making is often not readily available or accessible to them, or not presented in a usable form. It has been sug...

This paper presents MoSS-CC (Model-based Simulation System for Cost Calculation in wastewater treatment plants), a software tool to optimise wastewater treatment plant design and operation by means of simulation and cost analysis. The scenario analysis procedure is encoded in the software as a VPL (Virtual Product Lifecycle). Roughly, the scenario consists of two phases: the design phase and th...

Developing a three-sector and four-factor general equilibrium model, this paper offers an explanation of wage inequality in a vertically fragmented production structure typical of off-shore outsourcing to developing countries like China or India. The model characterizes a typical developing economy where intermediate good is produced using capital and local low-skilled worker, traditional secto...

Risks and losses arising from system failure, unauthorized activity, fraud and other operational errors are postulated to be one of the primary banking risks. Expert-based scenario analysis aims at describing the frequency and severity of extreme operational losses. Experts are not exact in predicting quantitative estimates for a distant future. The predicted scenarios are described by range es...

This paper demonstrates a practical simulation approach to analyze domestic water demand and its future uncertainty in water scarce areas through a case study of Beijing, China. Analytic models and a forecasting model were constructed using statistic and econometric regression approaches. The analytic models were used to analyze the interrelationships between domestic water demand and some soci...

Kotler and Caslione have recently published a new book Chaotics which stresses the importance of scenario analysis in marketing, especially in turbulent times. The goal of this paper is to show how an agent-based simulator could be practically used as a valuable supporting tool for the marketing analysis of opportunities and threats on retail markets.

Based on the computable general equilibrium (CGE) modelling method, this research analyzes the relationship between industrial structure and land use structure in China. The results show that our model is feasible, and the simulation results are of a certain stability. Under the scenario analysis and projection of the relationship between the industrial structure and land use structure of the t...

3 INTRODUCTION In this paper we describe the fourth-stage of our six-step scenario-based approach to strategic planning, the scenario building. Having completed the trend and uncertainty analysis using the 'Impact/Uncertainty Grid' tool in stage three, we will present in this paper how plausible scenarios can be created based on the identified key uncertainties using the 'Scenario Matrix' tool ...