Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art

This section offers suggestions related to helping a student deal with bullying in schools, as well as creating an environment where that individual can easily return to the school community. It also mentions the significance of the method 'Shared Responsibility' in dealing with the situation.

Assessing the Impact

Optimizing the production scheduling of a single machine to minimize total energy consumption costs

Product design is one of the most important sectors influencing global sustainability, as almost all the products consumed by people are outputs of the product development process. In particular, early design decisions can have a very significant impact on sustainability. These decisions not only relate to material and manufacturing choices but have a far-reaching effect on the product’s entire life cycle, including transportation, distribution, and end-of-life logistics. However, key challenges have to be overcome to enable eco-design methods to be applicable in early design stages. Lack of information models, semantic interoperability, methods to influence eco-design thinking in early stages, measurement science and uncertainty models in eco-decisions, and ability to balance business decisions and eco-design methodology are serious impediments to realizing sustainable products and services. Therefore, integrating downstream life cycle data into eco-design tools is essential to achieving true sustainable product development. Our review gives an overview of related research and positions early eco-design tools and decision support as a key strategy for the future. By merging sustainable thinking into traditional design methods, this review provides a framework for ongoing research, as well as encourages research collaborations among the various communities interested in sustainable product realization.

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Integrated Sustainable Life Cycle Design: A Review

This paper is a survey of the presently available literature on disassembly sequencing, including the papers that are closely related to this topic. Disassembly theory is applied to complex products such as mechanical, electromechanical and electronic appliances. It is required for end-of-life processing and for maintenance and repair. Apart from these applications, disassembly is studied for supporting the analysis of assembly processes. Disassembly sequencing involves the search for all possible disassembly sequences and the selection of the optimum solution out of these. In each application, a slightly different approach can be observed, including level of detail, degrees of freedom, and the role of uncertainty. Disassembly sequencing also plays a major role in the modern design process and is an invaluable tool in concurrent engineering. Its connection with the more detailed or component level and the less detailed level or process level including logistics, is highlighted. This presentation of the state of the art is intended as a stimulus for further research in this interesting field.

Disassembly sequencing : a survey

Disassembly modeling, planning, and application

A method integrating Taguchi, RSM and MOPSO to CNC machining parameters optimization for energy saving

With the growing concerns on global warming, much research attention has been focused on industrial activities which largely consume energy and emit carbon to the atmosphere. Low-carbon manufacturing, aiming to reduce carbon intensity and enhance resource utilization, is then emerging as a timely topic and spurs much research into a low carbon scenario. This paper proposes an analytical method of quantifying carbon emissions of a computer numerical control (CNC)-based machining system. In particular, the paper discusses the breakdown of the processes that contribute to the overall carbon emissions of a CNC-based machining system, such as electricity, cutting fluid, wear and tear of cutting tools, material consumption and disposal of chips, etc. The way of quantifying the amount of carbon emissions from individual processes are then analyzed. Finally, the proposed methodology is applied into two different machining cases, in which the impact of different machining parameters and different machining methods on carbon emissions in the CNC machining process are analyzed, respectively.

A quantitative approach to analyze carbon emissions of CNC-based machining systems

Selection of optimum parameters in multi-pass face milling for maximum energy efficiency and minimum production cost

Practical disassembly process planning is extremely important for efficient material recycling and components reuse. The research work for the process planning in literature focuses on the generation of optimal sequences based on the predictive information of products. The used products, unfortunately, exhibit high uncertainty since products may experience very different conditions during their use stage. The indeterminate characteristics associated to used products often makes the predetermined plan unrealistic. Their disassembly process has to be decided dynamically adaptive to the products' specific status. To be able to deal with uncertainty in a dynamic decision making process, this paper presents a fuzzy reasoning Petri net (FRPN) model to represent related decision making rules in disassembly process. Using the proposed fuzzy reasoning algorithm based on the FRPN model, the multicriterion disassembly rules can be considered in the parallel way to make the decision automatically and quickly. Instead of producing the disassembly sequences before disassembling a whole product, the proposed method makes intelligent decisions based on dynamically updated status of components in the product at each disassembly step. Therefore, it is adaptive to the changes that arise during the process. Finally, an example is used to illustrate the application of the proposed methodology.

Ying Tang

Papers

Disassembly modeling, planning, and application

A method integrating Taguchi, RSM and MOPSO to CNC machining parameters optimization for energy saving

A quantitative approach to analyze carbon emissions of CNC-based machining systems

Selection of optimum parameters in multi-pass face milling for maximum energy efficiency and minimum production cost

Intelligent decision making in disassembly process based on fuzzy reasoning Petri nets