Developing a fuzzy linear programming model for locating recovery facility in a closed loop supply chain

In this research a closed loop supply chain is designed which incorporates reverse logistics and forward logistic system simultaneously. In the design of reverse logistic system, recovery options are embedded in traditional supply chain for treating returned products. The recovery system includes collection centres, remanufacturing plants and disposal centres. Since the product return is supply driven, there is an uncertainty about it. In the proposed configuration for closed loop supply chain, the optimised configuration for supply chain in terms of locating recovery plants is developed. Accordingly, a fuzzy mixed integer linear programming model develops to deal with the uncertainty of returning products by customers. A general-purpose solver (LINGO 8.0) and a Meta heuristic approach (genetics algorithm) are implemented to solve the proposed model. The answers are compared by defining indexes and then the optimal answer, configuration and variables are identified. This solution will suggest a new design of supply chain network in which waste of materials is minimised and the new raw materials are necessary only when the used products may not be recovered by recovery options.     

Design of automobile engines for remanufacture with quality function deployment

Parallel with the increase in environmental problems, the importance of design of environmentally friendly products has become more important together with the design for remanufacture. This paper presents the application of quality function deployment (QFD) methodology in the design of products for remanufacture. The main goal of this paper is to determine the engineering characteristics of automobile engines that firms have to focus on, in order to design automobile engines for remanufacture. In this paper, how a product can be designed for remanufacture using QFD and house of quality (HOQ) has been highlighted. A questionnaire survey was conducted on automobile engine refurbishing & remanufacturing facilities in order to find out what is required of the products which are remanufactured. With the establishment of the HOQ, the engineering characteristics that firms should focus on for designing automobile engines for remanufacture have been found as ‘position of the parts’ and ‘ types of parts used’.     

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.     

Lean framework for planning redesign proposals to optimise EOL environmental behaviour in WEEE products

The aim of this research was to define a sequence of actions to guide redesign propositions for electrical and electronic equipment products, which minimise negative consequences to the environment after the end of their useful life. Current practices mainly encourage the examination of individual problems as disassembly process and identification of suitable product end-of-life (EOL) treatment strategies. There also exist previous studies that try to incorporate EOL concerns in product design phase. In most cases, the main problem is the limited available EOL information because of its delayed retrieval. The proposed method focuses primarily on minimising this problem. The steps of the analysis performed include the selection of the optimal EOL treatment strategy and, afterwards, the evaluation of its results concerning the environment. In parallel, product design characteristics are grouped and examined concerning their expected significance for the environment in the EOL stage. The results from the previous stages are combined and product improvement actions are proposed for further examination in the redesign stage. The general framework used to conduct all these actions is lean thinking methodology. In the end, results concerning the application of the proposed method on a distribution transformer are presented.     

Reverse logistics network design: a conceptual framework for decision making

Reverse logistics play a significantly increased role in supply chains. Producers are incorporating reverse logistics into their supply chain design because of governmental legislation, economic benefits from product recovery, and customers' demands for better environmental practices. Motivated producers face two main challenges in reverse logistics network design: (1) how do you build product recovery activities into traditional forward logistics networks? and (2) how do you manage the impact of uncertainty in the reverse logistics supply chain? Moreover, producers need to consider many tradeoffs leading to efficient network design. Published case studies have discussed these tradeoffs, and we describe a framework to evaluate these tradeoff considerations. We then apply the framework to three new case studies: medical device refurbishing, municipal e‐waste recycling, and carpet fibre recycling.     

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.     

Issues in reverse supply chains,part II: reverse distribution issues – an overview

In recent years, due to growing environmental concern, there has been an increasing attention to product take‐back, product recovery and the re‐distribution of end‐of‐life products. Reverse logistics (RL), which refers to the distribution activities involved in product returns, has recently received much attention because many companies are using it as a strategic tool to serve their customers; and can generate good revenue. The management of return flow usually requires a specialised infrastructure with special information systems for tracking and dedicated equipment for the processing of returns. An efficient reverse distribution structure may lead to a significant return on investment as well as a significantly increased competitiveness in the market. Therefore, the time seems to be right for a systematic overview of various issues that are arising in the context of reverse distribution. The main purpose of this paper is to review the literature on RL and suggest a classification based on reverse distribution issues. The result of this research provides a better understanding of the RL concept and outlines some future directions of research on modelling and analysis.     

Eco-material selection using fuzzy TOPSIS method

In the classical multiple attribute decision-making or MADM methods, the ratings and the weights of the criteria are known precisely. However, in eco-material selection exercises, the available data are typically inadequate because of the selection dual quantitative and qualitative natures. Some of the qualitative selection criteria can be rated in several classes rather being expressed by exact numerical values; hence the application of fuzzy concepts in decision-making seems attractive to deal with such kind of ratings. Thusly, the presented study attempts to propose an eco-material selection approach specific to the automobile body panels using a fuzzy technique for order preference by similarity to ideal solution (TOPSIS), to incorporate both numerical and rating-based criteria into one holistic sustainability model. TOPSIS and fuzzy logic can aid the material selection process in translating the design goals and parameters into usable numbers that in turn can be used to rank candidate materials in their closeness to the ideal solution. An additional uniqueness of this study stems from using the fuzzy-TOPSIS as a scoring tool without any assigned weights for the different selection attributes, in order to avoid the bias that is typically associated with other classical MADM, such as quality function deployment, analytical hierarchy process and digital logic.     

Factors affecting incentive dependency of residents to participate in e-waste recycling: a case study on adoption of e-waste reverse supply chain in Iran

Modern societies face a dilemma called electronic waste (e-waste). This waste, which may contaminate the soil or cause unwanted impacts on human health when treated improperly, is one of the fastest growing waste streams in developed as well as developing countries and has brought great environmental impacts. Developing countries like Iran also face this modern waste management challenge. In order for more appropriate disposal or, if possible, recycling of this waste, more attention has been paid to reverse logistics as the most appropriate way to manage them. The first and most important action to address e-waste and implementation of reverse logistics is to persuade residents to bring back their obsolete electronic products. This paper attempts to understand significant factors affecting residents’ incentive dependency to participate in e-waste recycling program. Socioeconomic and demographic information of different residents is discussed by means of logistic regression for the first time in Iran. The results show that about 58.7 % of residents will participate even if no incentive is given. Household income, household size, education, e-waste concern level, and marital status are the significant factors affecting the incentive dependency of respondents.     

Ecological and economical assessment of end‐of‐life waste recycling in the electrical and electronic recovery sector

Technological innovation and shorter product life cycles of electrical and electronic equipment coupled with their rapidly growing applications have resulted in the generation of an enormous amount of waste from electrical and electronic equipment (WEEE). To address the potential environmental problems that could stem from improper end‐of‐life management of WEEE, many countries have drafted national legislation to improve the reuse, remanufacture and material recycling from WEEE, and to reduce the amount of such waste going to landfills. With the introduction of such legislation comes an increased need for the recovery operators to evaluate the recycling costs and environmental benefits of reclaimed products and materials in order to select the most appropriate end‐of‐life options for individual products in WEEE. This paper presents a systematic methodology for ecological and economical assessment to provide a holistic understanding of the impacts associated with different end‐of‐life options for such waste. This assessment, in addition to providing decision‐support for the selection of the best possible end‐of‐life option for a particular product in WEEE, could also generate vital information to support the design and material selection processes during the initial product development activities. The assertion made is that the detailed considerations of the ecological and economical impacts associated with different end‐of‐life options will significantly improve the recovery and recycling of WEEE.     

Development of composite sustainable supply chain performance index for the automobile industry

The automobile companies are becoming increasingly aware about the importance of sustainability and its challenges. In order to compete in the global market, the industry has responded to these challenges by identifying the sustainability indicators. It is quite difficult to evaluate the performance of the company on the basis of large number of sustainability indicators. Integration of key sustainability indicators is quite essential for effective decision-making. This article presents an integrated method by accommodating both qualitative and quantitative approaches for the development of composite sustainable supply chain (SC) performance index. We applied an integration of fuzzy analytical hierarchy process, Liberatore score and signal-to-noise ratio approaches to compute the index. The proposed methodology demonstrates how quantitative statistical inputs can be combined with expert opinion to construct an overall index of sustainability. The index can be extensively used by SC managers to measure their organization's contribution towards SC sustainability. An application of an integrated methodology is demonstrated for an automobile SC.     

Issues in reverse supply chains,part I: end‐of‐life product recovery and inventory management – an overview

Recovery of used products has become a field of rapidly growing importance in reverse supply chain management. Product recovery includes collection, inspection/separation, disassembly, reconditioning/reuse, remanufacturing, and recycling. In real time situations, the collection of end‐of‐life (EoL) products from the customer and their return to the manufacturer is tedious and time consuming. Reduced product life cycles have increased the rate of product returns and disposals. Owing to shortened product economic life cycles, the recovery of value from EoL products is becoming a necessity. Companies have realised the value that they could recover by remanufacturing or recycling EoL products. Researchers have developed various models for product recovery network design, optimal inventory, production planning and control, remanufacturing, recycling, disposal, etc. The main purpose of this paper is to review the literature on EoL product recovery and inventory management issues in reverse supply chains and to outline some future directions for research on these issues.     

Sustainable supplier selection criteria classification for Indian iron and steel industry: a fuzzy modified Kano model approach

ABSTRACT

The aim of this work is to provide a systematic approach for sustainability criteria clustering into different useful categories. For this purpose, a methodology has been proposed with the following three steps. (i) A comprehensive set of the sustainability criteria in economic, environmental and social dimension has been extracted from the literature and have been customised for the iron and steel industry. (ii) A fuzzy Kano methodology has been used to classify these sustainability criteria into useful Kano cluster like must-be, one-dimensional, and attractive cluster (iii) further, must-be and attractive criteria derived from the second step were further sub-classified into three categories using Type IV Kano model. All steps have been examined in the iron and steel industry of India and findings indicate that quality and delivery criteria are classified as high must be criteria in the economic realm. Further, environmental and energy management system in the environmental dimension and social responsibility and right of stakeholders criteria in the social dimension are classified as high must be criteria. Prioritising must be and attractive criteria enable decision makers of other industries to select the appropriate criteria to adopt sustainability.     

Green supplier selection generic framework: a multi-attribute utility theory approach

This paper presents a generic framework integrating environmental and social criteria leading to a comprehensive selection process of green suppliers. Traditionally, price, quality, lead time and flexibility are considered for the supplier selection. With the increase in awareness of environmental and social responsibility issues, many companies are tending towards adopting green concepts and sourcing green suppliers. This study proposes a framework consisting of environmental (E), green (G) and organisational (O) factors that are required for the green supplier selection process. These factors are further classified as criteria for which attributes are presented. A hierarchy is constructed to facilitate in evaluating the importance of the selected criteria and alternatives of green suppliers. To cater to the multi-criteria decision-making approach with both quantitative and qualitative attributes, we applied the multiple attribute utility theory, which is a decision support that helps managers formulating viable sourcing strategies. A hypothetical example is presented to illustrate the applicability of the approach.     

Sustainability risk identification in product development

Sustainability-related issues present significant financial, strategic, compliance and operational risks to manufacturers. Many of these risks directly or indirectly result from the way a product is designed and managed across its life cycle. Assessing sustainability risk (S _R) at the product design stage is crucial for the development of products that both minimise sustainability risk exposure and are environmentally sustainable. Managing the costs associated with these risks requires risk management intervention at the design stage before these costs are committed throughout the life cycle (production, use, end-of-life). The goal of the sustainability risk assessment (SRA) methodology is to provide an approach to comparing the financial cost of a ‘sustainable product’ vs. an ‘unsustainable product’, by factoring in the effects of S _R on life-cycle cost. The SRA methodology demonstrates that, in some cases, sustainable products cost less than unsustainable products when sustainability risk is considered in the costing analysis. This paper outlines the first step of the SRA methodology, which is a process for identifying S _R inherent in the product life cycle. Once key risks are identified, the subsequent steps of the SRA assess and prioritise these risks for treatment through changes to product design and materials composition.     

Estimation of critical loads for radiocaesium in Fennoscandia and Northwest Russia

The application of the critical loads methodology for radioactive contamination of Arctic and sub-arctic ecosystems, where natural and semi-natural food products are important components of the diet of many people, is proposed and discussed. The critical load is herein defined as the amount of radionuclide deposition necessary to produce radionuclide activity concentrations in food products exceeding intervention limits. The high transfer of radiocaesium to reindeer meat gives this product the lowest critical load, even though the intervention limit is relatively high compared with other products. Ecological half-lives of radiocaesium in natural and semi-natural products are often very long, and it is therefore important to take account of contamination already present in the event of an accident affecting areas where such products are important. In particular, the long ecological half-life for radiocaesium in moose meat means that the critical load is highly sensitive to prior deposition. An example of the potential application of the method for emergency preparedness is given for the Chernobyl accident.     

A carbon footprint analysis in the textile supply chain

This research work focuses on the application of life-cycle assessment methodology to determine the carbon footprint of different players involved in a supply chain of the textile sector. A case study of a product by a textile leader company was carried out. This study demonstrates that, in the textile chain, the main contribution to the greenhouse effect is provided by the electrical and thermal energy used and by the transportation (since different production phases are delocalised in a wide range that goes from South Africa, Italy, Romania and all around the world, from the distribution centre to the stores). The Monte Carlo analysis has been used in order to obtain, for each calculated impact, not only the average value but also the distribution curve of the results characterised by uncertainty parameters. Moreover, a sensitivity analysis was carried out to evaluate the impact of management choices such as:

??a change in the transportation modality, from aeroplane to boat;

??a combination of road and rail transportation; and

??a selection among suppliers that allows the firm to cut environmental impacts.     

The study of production and inventory policy of manufacturing/remanufacturing environment in a closed-loop supply chain

The life cycle of electronic and electrical equipment has been ruthlessly shortened due to the rapid promotion of new products. Such a phenomenon has thereby resulted in serious environmental pollution and damages to the natural ecology. In order to reduce electronic wastes and increase recycling products, a manufacturing/remanufacturing simulation model was constructed through a series of inventory management policies. The model included the use of the traditional supply chain structures for the forward movement of goods to consumers, as well as a number of specialised operations required to perform reverse supply chain activities. Such a model took into account all the supply chain members such as the suppliers, manufacturers, logistics centres and customers at the same time. Finally, a case study on the application of the model was conducted.     

Relative Assessment of Indicators in Sustainability Enhancement (RAISE): a first approach in the manufacturing stage of products

The estimation of the sustainability performance of products requires tools to provide systematic approaches to the definition of impacts, indicators and comparative scenarios from early design stages. This paper illustrates the Relative Assessment of Indicators in Sustainability Enhancement (RAISE) methodology that is based on the measure of negative impacts generated during any product life cycle stage. This approach includes a systematic process for the definition and evaluation of indicators to compare the sustainability performance of products considering each indicator individually and using a holistic index of sustainability to entail an overall comparison between products from manufacturing scenarios. The RAISE method is developed with the aim of assessing sustainability performance of product life cycle stages and incorporating this assessment into the decision-making process when comparing different manufacturing scenarios. A guitar capo manufactured in polymeric material is used as case study to demonstrate the use of the method. In this paper, only the manufacturing stage is considered; however, the method can also be employed in other stages of the life cycle.     

Impact of incorporating customer preference in sustainable remanufacturing of commercial returns

This paper investigates optimum production parameters for a reverse supply chain for manufacturing of primary products and remanufacturing of commercial returns (products returned by customers for refund or exchange). The market for the product consists of two categories, the primary and remanufactured products. The demands for these markets are independent and considered to be random variables following a normal distribution function. The approach presented in this work differs from many previously published works because the acceptability of products varies among customers. The interaction between the designed quality and variable customers’ preferences determines the likelihood of a product being returned. Two major decision variables targeted in this study are the production cycle time and the targeted quality for production of parts used in the product. Through an analytical formulation and numerical examples, a relationship between the total profit of the system and the two decision variables is developed and optimised. The analysis demonstrates that the total profit of the hybrid system could be increased significantly by targeting the optimum targeted (not necessarily the highest) values for quality of parts and the optimum cycle length. And this objective could be accomplished with significant gain with respect to sustainability and waste reduction.