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The sources cited within this issue are presented including the books "The Web of Life: A New Understanding of Living Systems," by F. Capra, "Industrial Ecology," by R. U. Ayres and L. W. Ayres and "Capaciteitsmanagement," by E. Ten Heuvelhof, K. Koolstra and H. Strout.

An Another Mathematical Programming Language (AMPL) code for an optimization model that relate to automobile recycling that appeared in the book "Metrics of Material and Metal Ecology" is presented.

A matrix laboratory (Matlab) source code for a dynamic model that relate to automobile recycling that appeared in the book "Metrics of Material and Metal Ecology" is presented.

A variety of charts and tables that relate to articles on the calculation of waste composition that appeared in the book "Metrics of Material and Metal Ecology" is presented.

A variety of charts and tables that relate to articles on zinc production and recycling profile that appeared in the book "Metrics of Material and Metal Ecology" is presented.

A variety of charts and tables that relate to articles on tin production and recycling profile that appeared in the book "Metrics of Material and Metal Ecology" is presented.

A variety of charts and tables that relate to articles on silver that appeared in the book " Metrics of Material and Metal Ecology" is presented.

A variety of charts that relate to articles on platinum group metals that appeared in the book "Metrics of Material and Metal Ecology" is presented.

A variety of tables and charts that relate to articles on nickel production and recycling profile that appeared in the book "Metrics of Material and Metal Ecology" is presented.

A discussion of lead production and its recycling profile with relevant chart and table samples which serves as a reference for the book "Metrics of Material & Metal Ecology" is presented.

A discussion of gold production and its recycling profile with relevant table and chart samples which serves as reference for the book "Metrics of Material & Metal Ecology" is presented.

A discussion of copper production and its recycling profile with relevant chart and table samples which serves as a reference for the book "Metrics of Material & Metal Ecology" is presented.

A discussion of bismuth production and its recycling profile with relevant chart and table samples which serves as a reference for the book "Metrics of Material & Metal Ecology" is presented.

An overview of the computational fluid-dynamics (CFD) principles, capabilities, available software packages and general simulation procedures applicable for metallurgical processes is presented, which can be a useful reference for the book "Metrics of Material & Metal Ecology."

A variety of concepts, tables, charts and graphs relevant to the discussion of thermodynamics of metallurgical recycling which can be useful reference for the book "Metrics of Material & Metal Ecology" are presented.

A variety of theory related to physical separation and metallurgical recycling which underpin the developed theory discussed in the book "Metrics of Material & Metal Ecology" are presented.

Chapter 14.2 of the book "Metrics of Material & Metal Ecology" is presented. It discusses the computational fluid dynamics (CFD) based simulation model of aluminium scrap melting in a rotary furnace. The model simulates turbulent fluid flow, gas combustion, radiation and conjugated heat transfer. A scrap melting sub-model with population balance modelling (PBM) developed and integrated into the CFD based process model in order to represent the distributed nature of the aluminium scrap feed with different types, sizes and shapes is also discussed.

Chapter 14.1 of the book "Metrics of Material & Metal Ecology" is presented. It discusses the development of an integrated mass and energy balance model for rotary furnaces for aluminium recycling and its sample application at the Karl Konzelmann Metallschmelzwerke (KKM) refiner plant in Hannover, Germany. It is noted that the model allows the smelter to predict the melting yield of various categories of aluminium scrap. It explains the role of the salt factor (SF) in sensitivity analysis of the furnace operation with the model.

Chapter 13.2 of the book "Metrics of Material & Metal Ecology" is presented. It explores the recycling of aluminium metal containing material or aluminium scrap. The aluminium production losses associated with oxidation, the comparison between fluxless melting of aluminium scrap and melting under salt and the properties of salt flux for aluminium melting are discussed. The gaseous, aqueous and solid emissions from secondary aluminium melting are identified.

Chapter 12.2 of the book "Metrics of Material & Metal Ecology" is presented. It discusses the separation techniques applicable for processing aluminium alloy containing materials. It is said that the objective of recycling aluminium scrap is to obtain a maximum metal yield in the later melting process. The wet separation techniques discussed include the sink-float method, heavy medium cyclones method and jigging.

Chapter 11 of the book "Metrics of Material and Metal Ecology" is presented. The section provides information on aluminium recycling. The type of alloy and the source of origin characterise aluminium scrap. The advantages of new or scrap which results from processing and machining of products made of aluminium alloys including its homogenous composition.

Chapter 10.7 of the book "Metrics of Material and Metal Ecology" is presented. The section focuses on the International Organization of Standardization (ISO) norm and monitoring protocol for the calculation and prediction of the recycling rate of end-of-life vehicles (ELVs) and the design of monitoring optimization model. Also enumerated are issues to be addressed in monitoring including the use of theoretical knowledge on recycling behaviour. Topics to be addressed in designing the recycling system model are noted.

Chapter 10.4 of the book "Metrics of Material and Metal Ecology" is presented. The section explains the calculation of mass balance in a large scale industrial recycling test of end-of-life vehicles (ELVs) at the Comet Sambre plant in Châtelet, Belgium. The bases of standard deviation used for the data reconciliation include the accuracy of the weighing and sampling. There were mass differences between the output of the one process step and the input of the same stream to another process step.

Chapter 10.3 of the book "Metrics of Material and Metal Ecology" is presented. The section looks at the weighing, sampling and analyses of material flows in a large scale industrial recycling test of end-of-life vehicles (ELVs) at the Comet Sambre plant in Châtelet, Belgium. The design of the car is one of parameters in determining the recycling rate of vehicles. The formula used to calculate required sample size is explained.

Chapter 10.2 of the book "Metrics of Material and Metal Ecology" is presented. The section provides information on the methodology used in a large scale industrial recycling test in which 1,153 end-of-life vehicles (ELVs) have been shredded and processed using Post Shredding Technology (PST) processes at the Comet Sambre plant in Châtelet, Belgium. The required batch and sample batch were calculated using the particle size as a critical parameter. The experiment also compared the original and adjusted data.

Chapter 9.4 of the book "Metrics of Material and Metal Ecology" is presented. The section focuses on the role of product design in recycling automobiles. The particle size reduction and the degree of liberation of the product during shredding are influenced by the material connections and combinations in the design of the car. The modeling and simulation of traditional minerals processing systems are related to the modeling and optimization of the recycling of end-of-life consumer products.

Chapter 9.3 of the book "Metrics of Material and Metal Ecology" is presented. The section discusses recycling optimization modelling of particle size reduction and liberation for end-of-life vehicles (ELVs). The composition of the intermediate recycling streams and the final metal/material recovery should be combined to define the effect of particle size and liberation on separation efficiency. The model's flowsheet, which is derived from the detailed recycling flowsheet for ELVs, is explored.

Chapter 9.2 of the book "Metrics of Material and Metal Ecology" is presented. The section deals with recycling optimization model which links the liberation to the recycling rate of end-of-life vehicles (ELVs). Such model is said to be capable of predicting recovery rate for the various materials present in the automobile. Also cited is the need for the model to describe the first principles of the liberation of various materials as a consequence of material combinations and joint types selected during design.

Chapter 8.7 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The section cites examples and case study related to calculating recycling and recovery rates for end-of-life vehicles (ELVs). It stresses the importance of presenting the recycling rate and European Union (EU) targets with its standard deviation of error margin. Also noted is that fundamental theoretical models should be used and adopted by the recycling industry and EU to calculate reliable recycling rates.

Chapter 8.6 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The section discusses the role of the resource cycle dynamics in the recovery rate of materials present in the car and its recycling rate. It stresses the importance of understanding of all aspects influencing the closing of the material cycle and their mutual relation to improve the vehicle's material cycle efficiency. Simulations can show the effect of the changing recovery rate on the response to the system.

The article describes the case study of optical dynamic modelling of aluminium recycling. The recycling optimization model can be used to integrate the effect of economics, legislation and process efficiency into the dynamic model. The recovery of various elements dependent on the objective of the optimization is calculated by the recycling optimization model. There was optimised material streams, grades and recoveries based on the results of the optimization for two different input ranges.

Chapter 8.4 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The section offers insights on the parameters affecting the performance of the automobile recycling system to describe, model and optimise the material cycle of passenger vehicles. The state-of-the art recycling technology is a factor in determining the recovery rate of the materials composing the automobile. Also illustrated is a recycling flowsheet for the recycling of end-of-life vehicles.

Chapter 8.3 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The sections looks at the formulation of dynamic model for automobile recycling. The behavior of the resource cycle system, material flows and the accumulation of materials within the system over time are described and predicted in the model. The dynamic model can be parameterised over the total resource cycle by the use of the distribution functions for the lifetime, the weight and the composition of the car.

Chapter 7.7 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The section provides examples and case studies on calculating recycling rate (RR). These include RR for building aluminium waste and recycling of aluminium alloys from buildings. Also cited is the formula for the European Union (EU) definition for the recycling of automobiles.

Chapter 7.6 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The section offers a discussion of the four dynamic simulations of the recycling and recovery rate of automobiles. The lifetime of the cars is kept constant over time in the first simulation while the second one changes the lifetime distribution. The effect of the changing distribution of the mass percentage over time is demonstrated in the fourth simulation.

Chapter 7.5 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The section describes the changing weight and composition of the car and their role in the recycling rate (RR) definition based on the dynamic model of the end-of-life vehicles (ELVs) resource cycle. The amount of produced cars a year is one of the factors determining the total weight of the materials produced in the car. Also noted are RR definitions different from the one proposed by the European Union (EU).

Chapter 7.4 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The section deals with dynamic modelling of the resource cycle of end-of-life vehicles (ELVs). Such model is said to be capable of showing the influence of time-varying and statistically distributed parameters on the recycling rate over time. It attributes the changes in weight and composition of cars to changes in regulation on safety, consumer demands on comfort and reduction of fuel consumption, among others.

Chapter 7.3 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The section provides information on a directive which targets the recycling of passenger vehicles approved by the Parliament of the European Union (EU). The average weight per vehicle year is the basis of the imposed EU recycling targets on end-of-life vehicles (ELVs). The three categories of the recycled weight under the EU directive are reuse, recovery and recycling.

Chapter 7.2 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The section defines the term recycling rate. Such rate uses average life cycles despite the fact that figures calculated by the method are suggestive of reality than accurate. The production from secondary raw material or scrap of the present year to the total production years ago should served as the basis of the real recycling rate.

Chapter 6.5 of the book "The Metrics of Material and Metal Ecology: Harmonizing the Resource, Technology and Environmental Cycles" is presented. The chapter explores several valuable concepts and ideas brought into the system by the models and studies in industrial ecology. They include the notion of sustainability as an emerging system property, the connection between the industrial and ecological thinking in the system and the dynamic interdependence of metal metabolism.