Multiobjective optimisation method for life-cycle design of mechanical products

Manufacturing that minimises the exhaustion of natural resources, energy used and deleterious environmental impact is increasingly demanded by societies that seek to protect global environments as much as possible. To achieve this, life-cycle design (LCD) is an essential component of product design scenarios; however, LCD approaches have not been well integrated in optimal design methods that support quantitative decision-making. This study presents a method that yields quantitative solutions through optimisation analysis of a basic product design incorporating life-cycle considerations. We consider two types of optimisation approaches that have different aims, namely, (1) to reduce the use of raw materials and energy consumption and (2) to facilitate the reuse of the product or its parts when it reaches the end of its useful life. We also focus on how the optimisation results differ according to the approach used, from the viewpoint of the 3R concept (Reduce, Reuse and Recycling). Our method obtains optimum solutions by evaluating objectives fitted to each of these two optimisation approaches with respect to the product's life-cycle stages, which are manufacturing, use, maintenance, disposal, reuse and recycling. As an applied example, a simple linear robot model is presented, and Pareto optimum solutions are obtained for the multiobjective optimisation problem whose evaluated objectives are the operating accuracy of the robot and the different life-cycle costs for the two approaches. The characteristics of the evaluated objectives and design variables, as well as the effects of using material characteristics as design parameters, are also examined.     

A sustainable method for optimizing product design with trade-off between life cycle cost and environmental impact

In today’s competitive market, corporations have learned that taking sustainability issues into account can significantly improve their public image. Modern producers therefore must simultaneously reduce the environmental impact of their products and make economic gains. Therefore, making trade-offs between economic and environmental issues is required to ensure a company’s continuity. In doing so, companies have attached a great deal of importance to the new product design phase. However, optimization at the design stage becomes very complex for a product with a large number of parts, which can have several design alternatives with similar forms and functionality, but different costs and environmental impacts. In the automobile, shipbuilding and aircraft industries, if the conventional complete enumeration method is applied, the time required for selecting the optimal combination of design alternatives with respect to life cycle cost and environmental impact may exceed a human’s natural life span. To overcome this limitation, this paper introduces an optimization method for use as a design aid tool that enables a designer to assess the life cycle cost and environmental impact of his/her design very early in the product development process. To support the developed method, an illustration is provided using a case study on a locally manufactured automobile.     

Selection of green product design scheme based on multi-attribute decision-making method

The function, cost and environmental performance are the primary decision-making factors for scheme selection in green design. For the comprehensive and accurate decision-making in selecting green product design scheme, a quantitative analysis method of multi-attribute decision-making (MADM) is presented. With analysing the multi-attribute of scheme selection, the MADM model is established, which takes environmental impact of materials, disassembly performance, recycling performance, energy efficiency, noise, pollutants to environmental and functional values. Fuzzy technique for order performance by similarity to ideal solution method is applied to solve this model for the feasible solutions. Finally, a case study is given to validate the application of this methodology as a useful design guideline for scheme selection in green design.     

The implications of cultural differences in laundry behaviours for design for sustainable behaviour: A case study between the UK,India and Brazil

Traditional research into sustainable design has typically focused on reducing the environmental impact of products during the manufacture and disposal stages of a products' lifecycle. The last decade, however, has seen an explosion of research into understanding and moderating user behaviour during the use phase of a products' lifecycle; often the most resource-intensive phase. One of the biggest factors that affects behaviour is a users cultural context; however, the effect of cultural context on design for sustainable behaviour has had little exploration in this relatively new research field.     

A hybrid approach for environmental impact evaluation of design options

The strengthened environmental regulatory requirements and general awareness of the need for environmental conservation worldwide, design for environment has become a key design criterion in new product development processes. Due to their resources-consuming attribute and the prerequisite expert knowledge in environmental sciences for the impacts interpretations, the existing forms of product-oriented environmental impact assessment methods are impractical to be adopted by product designers in small-and-medium enterprises. Life Cycle Assessment (LCA) is a generally accepted quantitative approach to assess a product’s environmental impact. However, a full LCA study often requires a considerable amount of data and therefore, it is regarded as not a handy tool for product design evaluations particularly at the initial design stage. This leads to our intention to develop an immediately applicable approach for decision-makers to evaluate the design options. The proposed approach integrates Analytic Hierarchy Process and Fuzzy Theory, with Evidential Reasoning (ER) to support the environmental impact evaluations of design options. A case study is carried out to demonstrate its applicability to prioritize the environmental impact of various design options. A symmetrical triangular distribution is introduced for calculating the expected utility and for testing the sensitivity of results.     

Environmental impact assessment of manufacturing processes using a combinatorial mathematics based decision making method

This paper presents a methodology for environmental impact assessment of manufacturing processes using a combinatorial mathematics based decision making method. An ‘environmental impact assessment index’ is proposed that evaluates and ranks the manufacturing processes for producing a given engineering product or component. The index is obtained from an ‘environmental impact assessment factors function’ considering environmental impact assessment factors and their relative importance for the considered application. An example is included to illustrate the approach.     

Assessing sustainability in nature-inspired design

In the field of sustainable product development, a new perspective for approaching sustainability has been advocated, challenging designers and engineers to aim beyond ‘reducing unsustainability’. Several design strategies – including Biomimicry and Cradle to Cradle – have been suggested for developing truly sustainable, or ‘beneficial’, products. But do these strategies help in developing such products, and how to assess their ‘sustainability’? Based on a review of the objectives in nature-inspired design, we argue that assessing environmental sustainability is not straightforward. Whereas both Biomimicry and Cradle to Cradle build on the perspective of ‘achieving sustainability’, current life-cycle assessment-based tools are geared towards reducing current impacts. As a consequence, existing tools are insufficiently equipped for the purpose of the assessment: they do not cover some of the main results that nature-inspired design is set out to accomplish. To be able to include these results, we propose two new constituents to current life-cycle-based product assessment: assessing against conditions of sustainability and assessing ‘achievement’, the extent to which these conditions of sustainability have been achieved. Furthermore, the product context needs to be included for assessing beneficial impacts. This article discusses how these constituents can contribute to an assessment tool that enables designers and engineers to assess the development of environmentally sustainable solutions.     

Integration of DFE and DFMA for the sustainable development of an automotive component

The recent developments in manufacturing organizations recognize sustainability as an important value addition for survival in the competitive scenario. The design engineers are in search of approaches for creating environmental conscious products. The purpose of this paper is to report a research carried out for ensuring sustainable product design by the integration of Design for Environment (DFE) and Design for Manufacture and Assembly (DFMA) methodologies. In this context, this paper reports a case study carried out in an automotive component. The candidate product is the charge alternator pulley. The existing pulley has been created using Computer Aided Design. Then sustainability analysis was conducted on the existing component for determining environmental impact. This is followed by the engineering analysis of the component using ANSYS. Then conceptual design changes were developed in the proposed product using DFMA concept. Then the environmental impact has been evaluated in terms of carbon footprint, energy consumption and air/water impacts on proposed product. It has been found that the optimized pulley design possesses minimal environmental impact. The result of the case study indicated that the integration of DFE and DFMA concept could initiate new developments in sustainable designs with minimal impact to the environment and it also reduces the product cost.     

A design for EoL approach and metrics to favour closed-loop scenarios for products

Recently, environmentally conscious design and extended producer responsibility have become key aspects for companies that need to develop products that are sustainable along their whole life cycle. Design for End of Life (EoL) is a strategy that aims to reduce landfill waste through the implementation of closed-loop product life cycles. It is important to consider disassembly and EoL scenario management as early as the design phase. For these reasons, this paper presents an approach to help designers in the evaluation and subsequent improvement in product EoL performance. The method is based on four innovative EoL indices that compare different EoL scenarios for each product component. In this way, the designer can modify the product structure or the liaisons to maximise the reuse and remanufacture of components as well as material recycling. The presented case studies confirm the validity of the approach in helping designers during the redesign phase of goods and products to reduce the quantity of materials and industrial wastes sent to landfill.     

Treating design uncertainty in the application of Eco-indicator 99 with Monte Carlo simulation and fuzzy intervals

In incremental eco-design improvements, design engineers attempt to modify an existing product via some eco-design measures to reduce the product’s environmental impacts (e.g. reduction of material usage and energy consumption). In this process, several design concepts can be proposed, and concept selection is required to allocate resources sensibly to promising design concepts only. In this context, the research purpose is to estimate the environmental impacts of each concept given the uncertainty of design information. In the proposed methodology, the fuzzy interval arithmetic is used to specify and propagate imprecise design information. Then, the centroid concept is applied to model different views of imprecision (i.e. pessimistic, balanced and optimistic) associated with fuzzy impact assessment. Accordingly, a decision scheme is developed to support concept selection and suggest the potential areas for further eco-design improvements. A coffee maker is used as an example to demonstrate the proposed methodology. Also, the Monte Carlo Simulation is applied for the same example to compare the numerical outcomes by the fuzzy interval approach.     

Making the user more efficient: design for sustainable behaviour

User behaviour is a significant determinant of a product's environmental impact; while engineering advances permit increased efficiency of product operation, the user's decisions and habits ultimately have a major effect on the energy or other resources used by the product. There is thus a need to change users' behaviour. A range of design techniques developed in diverse contexts suggest opportunities for engineers, designers and other stakeholders working in the field of sustainable innovation to affect users' behaviour at the point of interaction with the product or system, in effect ‘making the user more efficient’. Approaches to changing users' behaviour from a number of fields are reviewed and discussed, including: strategic design of affordances and behaviour‐shaping constraints to control or affect energy‐ or other resource‐using interactions; the use of different kinds of feedback and persuasive technology techniques to encourage or guide users to reduce their environmental impact; and context‐based systems which use feedback to adjust their behaviour to run at optimum efficiency and reduce the opportunity for user‐affected inefficiency. Example implementations in the sustainable engineering and ecodesign field are suggested and discussed.     

A meta‐heuristic approach for supporting adaptive disassembly sequencing using a multi‐objective concept

One of the key features of environmentally conscious manufacturing has been the efforts to promote product recycling and remanufacturing. Efficient material re‐utilisation through product disassembly to retrieve the desired parts and/or subassemblies is one rational approach. This is because it can promote the conservation of both material and energy resources whilst concurrently reducing environmental impact. However, because manufactured products may be made from many components, disassembly load becomes a critical factor that may obstruct the recovery of materials. Accordingly, it is essential to develop a practical method for deriving a disassembly plan to decrease such load, and to endow a certain value to the product at the end of its life cycle. With this understanding, the authors have developed a practical procedure to produce an adaptive disassembly strategy. The authors have applied a meta‐heuristic method known as genetic programming (GP) as a search engine to derive the adaptive disassembly sequence together with a multi‐objective optimisation method termed MOON^2R. The authors have also proposed a hierarchical sequencing method to cope with large/complex products and added several ideas to increase the applicability associated with the interests in disassembly of hazardous and/or valuable parts, and alternative disassembly actions. Through numerical experiments, the authors examined the effectiveness of the proposed approach by showing its support for relevant planning and design decisions for product recycling and remanufacturing from various viewpoints.     

Design for optimal quality by recycling returned products

For many manufacturers, the cost of replacing returned products may more than offset the cost of producing parts with a higher quality. This is especially true if good parts from returned products are used to remanufacture aftermarket products. Furthermore, such policy allows for satisfying a customer population with a variable expectation for acceptable quality. In this study, the total cost of supplying a given demand is derived as an analytical function of the targeted primary production rate and product quality when the demand is satisfied with a combination of primary and remanufactured products. The decision variables of this function consist of the primary production rate and the designed product and production quality. This cost is then minimised to determine the production rate and the optimum quality to target. A numerical example is provided and used to demonstrate the application of this function. This example also demonstrates the use of the proposed solution for optimising quality when there is a limit on primary production size. The example also demonstrates the use of the function for optimising service levels. The results show a close match between the theoretical functions developed in this study and those obtained from a Monte Carlo simulation model.     

Comparing environmental product footprint for electronic and electric equipment: a multi-criteria approach

Electronic and electric devices are now applied in most human activities: their diffusion is increasing worldwide; furthermore, most of them are characterized by a high replacement rate due to technological obsolescence. Consequently, environmental problems due to their diffusion are increasing; several aspects are involved from the energy consumption derived from their manufacturing processes and their use phases to their end-of-life (EOL) management. Such legislative (e.g. the European Energy Efficiency directive for household appliances) or voluntary interventions (e.g. based on the ISO standards) have been introduced for such devices: the aim is to incorporate environmental considerations in product design and manufacturing in order to benefit the environment. Some attempts are focusing on defining standardized models for the overall lifecycle including waste management. The aim of this paper is to introduce a reference model for comparing environmental product footprint of electrical and electronic equipment (EEE). All life cycles of EEE will be evaluated: a specific focus is on the EOL management process as their waste management represents a complex problem for developed and developing countries. A multi-criteria decision-making model will be developed based on the well-known analytical hierarchy process (AHP) method: differently from traditional AHP applications, an absolute model has been proposed in order to compare EEE effectively from an environmental point of view. A case study validation regarding large household appliances is proposed.     

Should the fashion industry confront the sustainability challenge with 3D prototyping technology

Abstract

In this paper, coming out of a broader research project on how the digital prototype can be effectively integrated in the product development process of the clothing industry, the authors investigate the relationship between Corporate Social Responsibility (CSR) and Collective Actions on Sustainability and the environmental impact of the new model of fast and accelerating fashion. Extensive research was contacted with personal interviews and analysed primary data shows how new technology solutions like Product Lifecycle Management (PLM), 3D visualisation or 3D prototyping can work with and across supply chain partners to reduce the environmental footprint of their processes. The final phase of the paper involves the conceptualisation of a new apparel product development model, encompassing various digital tools which aim at addressing fit problems, extending the useful life of clothes and reducing the environmental impact of clothing in use through design and services.     

Synergico: a method for systematic integration of energy efficiency into the design process of electr(on)ic equipment

This paper presents an overall design method to better consider the energy consumption of electrical and electronic equipment during the use phase. This aspect is often considered as the most important environmental aspect in active electrical and electronic equipment during its life cycle. The proposed method, called ‘Synergico’, characterises the product energy efficiency according to its modes, its functions and its sub-assemblies. It also articulates three tools: one assessment tool, one improvement tool and one environmental check tool. These tools are integrated along a typical product design process. The method therefore helps designing more energy-efficient products without compromising other performances such as ergonomics, functional performances, security, recyclability or costs. The three tools and the overall method are presented. A case study illustrates the way it works and is discussed.     

A holistic approach to achieving energy efficiency for interoperable machining systems

In the twenty-first century, the continuous demand in energy resource has put sustainability on the agenda of many businesses. This is particularly true for the manufacturing industry, where a large amount of energy is consumed to sustain daily operations. This paper studies energy-efficient computer numerical control machining systems. To achieve overall energy efficiency in machining systems, several activities are involved as in the proposed research framework of a global energy-efficient machining system (GEMS). These activities are described as modules, i.e. energy monitoring, energy analysis and optimisation, energy-based optimal control and energy-enriched database. In a GEMS, one critical issue is data interoperability. Seamless data sharing enables collaboration for improving energy efficiency. Using the EXPRESS language, energy data models are proposed for each module in the GEMS, and integrated with the existing STEP-NC (STandard for Exchange of Produce-compliant Numerical Control) standards. Two case studies are presented to demonstrate how the proposed data models may be used. One study updates an existing production file to include general energy information for auditing or reviewing purposes; the other study maintains machine tool energy profiles in a database. Many other energy-efficient activities, e.g. online energy optimisation, can be realised with the proposed data models. The present study proved that interoperable energy information can enhance the energy-efficient performance of a machining system.     

Sustainable design of sprocket using CAD and Design Optimisation

The contemporary manufacturing organisations recognise sustainability as a vital concept for survival in the competitive scenario. The modern design engineers are in need of approaches for creating environmentally friendlier products. In this context, this project reports a case study carried out in an Indian sprocket manufacturing organisation. The existing sprocket has been created using Computer Aided Design (CAD). Then, the sustainability analysis has been performed for determining the environmental impact. This is followed by the optimisation of sprocket design using Design Optimisation. The environmental impact has been measured in terms of carbon footprint, energy consumption and air/water impacts. It has been found that the optimised sprocket design possess minimal environmental impact. The results of the case study indicated that CAD and Design Optimisation could lead to the development of sustainable design with minimal impact to the environment.     

An integrated approach for the benchmarking of production facilities’ environmental performance: data envelopment analysis and life cycle assessment

Environmental impacts have become an important consideration in the manufacturing industry due to increasing public pressure for environment protection and the requirements of recently launched legislations. Data envelopment analysis (DEA) is a widely adopted methodological approach for the benchmarking of the relative efficiency of different production units. Changes in production efficiency may affect environmental impacts. DEA can be used for identifying the most efficient production facility and hence, the environmental impacts generated from the different production lines can then be benchmarked. Life cycle assessment (LCA) is carried out to quantify the full environmental impacts of a product from ‘cradle to grave’. The integration of LCA with DEA, efficiency and environmental impact of different production processes for a certain family of products can be evaluated and benchmarked. The proposed two-stage approach can help to reduce the aggregate environmental impacts of the manufacturing phase and is used to benchmark the environmental performance of several production lines in a manufacturing company.