CAD and DFM: enablers of sustainable product design

Sustainability has been regarded as an important concept for survival in the contemporary scenario. Modern design engineers are in need of approaches for creating sustainable products. In this context, this paper reports a case study carried out in an Indian modular switches manufacturing organisation. The existing handle of the switch has been modelled using computer-aided design (CAD). Then, the sustainability analysis has been carried out for determining the environmental impact. This is followed by the redesign of the handle using design for manufacturability (DFM) principles. The sustainability has been measured in terms of carbon footprint, energy consumption and air–water impacts. It has been found that the redesigned handle possesses minimal environmental impact. It could be inferred from the results of the case study that CAD and DFM could lead to the development of sustainable product design with minimal impact on the environment.     

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.     

Performance evaluation of lean sustainable systems using adaptive neuro fuzzy inference system: a case study

The modern manufacturing organisations have been adopting both lean and sustainable manufacturing paradigms to survive in the competitive environment. Lean and sustainable strategies aim at achieving productivity improvement by streamlined processes and waste elimination. The performance of such integrated lean sustainable system has to be assessed to ensure whether the strategic objectives are in line with customer value and to identify improvement opportunities that enable and enhance the competitive advantage of an integrated lean sustainable system. This paper presents the formulation of conceptual performance evaluation model to assess lean sustainable systems. Appropriate performance indicators have been identified and adaptive neuro fuzzy inference system approach is used to evaluate lean sustainability. A case of automotive component manufacturing firm in Indian scenario is exemplified. Based on the evaluation, lean sustainability index was computed and the firm was found to be ‘Averagely Lean Sustainable’. Further improvement actions to enhance the lean sustainable performance were planned and implemented. The developed performance evaluation model is capable of effectively evaluating the lean sustainable performance of manufacturing firms and has more practical relevance.     

Sustainable product design using CAD: a case study in an Indian rotary switches manufacturing organisation

Sustainability is gaining importance in contemporary manufacturing organisations. Modern design engineers need approaches for creating environmentally friendly products. In this context, this paper reports a case study carried out in an Indian rotary switches manufacturing organisation. A component of the rotary switch has been modelled using computer-aided design. Then, the sustainability analysis has been carried out for determining the environmental impact. The environmental impact has been measured in terms of carbon footprint, energy consumption and air/water impacts. The handle design has been modified to minimise the environmental impact. The results of this case study indicate that appropriate modifications in design could lead to the development of sustainable design with minimal environmental impact.     

Computing sustainable manufacturing index with fuzzy analytic hierarchy process

The growing industrial interest in adopting sustainability programmes has ushered in studies regarding sustainability indicators which have continually flourished in current literature. However, limited attention is given to the development of priority ranking, which is an important input for any adopting firm. This paper presents a hybrid multi-criteria approach in determining priority areas in sustainable manufacturing (SM). Using fuzzy analytic hierarchy process to address uncertainty in hierarchical decision-making, this paper determines SM priority strategies and eventually identifies even lower level strategies. The computed sustainable manufacturing index is presented at both the organizational and operational levels for a real case study of an industrial plastic manufacturing firm. This work provides a detailed and transparent hierarchical decision-making approach based on SM framework, the use of which could be valuable to practicing managers across industries in their pursuit of greater sustainability.     

Social sustainability in supply chain decisions: Indian manufacturers

The purpose of the paper is to assess the inclusion of social sustainability in the decisions of supply chain in multinational manufacturing organisations in India. Indian organisations are resorting to sustainability-based reporting for greater transparency and for creation of brand value for their organisations. There are tremendous economic upheavals and changes across the complete value chain, and thus, responsible business practices are becoming a necessity for the long-term survival of organisations. Sustainability, as a strategy, is responsible utilisation of resources and is reported through social, economic and environmental factors in an organisation. For sustainability as a strategy, there has to be a complete organisational inclusion and employee engagement through decision making at operational levels along the value chain. The research paper is an empirical study done through a survey using a structured questionnaire to collect information to evaluate decision criteria particularly for social sustainability, from the middle and top level executives in Indian manufacturing organisations. Multinational manufacturing organisations in India are trying to be more responsible because of mandated CSR policy, and thus, sustainability through social factors is getting more prominence. A multiple linear regression analysis is used to explain the correlation and inclusion of social factors on the decision-making process in the supply chain of multinational manufacturing organisations in India. This study reveals that decision making in the supply chain of multinational manufacturing organisations in India specifically in manufacturing industry is incorporating social sustainability. The study highlights that decision making involving social sustainability needs larger frameworks for organisational preference. While the study provides evidence of social sustainability-based practices in multinational manufacturing organisations in India, it does not deal with social sustainability practices. The study also has limitation as has been limited to organisations which follow sustainability practices and make disclosures through GRI framework.     

Sustainable outsourcing: a practice survey and research opportunities

This paper addresses the issue of the sustainability imperative and its influence on outsourcing practice. The research initially finds that there is currently little or no work that explores sustainable or green outsourcing, other than in an information technology context. This lack of research on sustainable outsourcing practice in the industrial organisation sector led to the development of this research study. This exploratory study used a qualitative survey tool to investigate current industrial practice. Manufacturing managers in 57 organisations formed the survey sample. The data were analysed by comparison and clustering of responses of survey participants. This study contributes five key findings that demonstrate current industrial practice which includes: 32% of respondents state that sustainability is not a factor in their outsourcing decision making and 65% of small- and medium-sized enterprises had never heard of the ‘triple bottom line’ concept. Future research needs are identified and proposed highlighting that urgent development of research is required in outsourcing performance measurement and also in considering sustainability as a new manufacturing competitive priority.     

Modelling and analysis of sustainable manufacturing system using a digraph-based approach

Abstract

Sustainable manufacturing practices have many benefits like cleaner production, resource efficiency along with economic benefits. Sustainable manufacturing practices focuses on four dimensions environment, economy, business and society. The effective deployment of sustainable concepts mostly depends on interaction of these sustainable dimensions. In this study, an attempt on assessment through modelling has been presented. Mostly two factors determine the sustainable performance of organisation: the performance of the criteria is identified under four dimensions (inheritance) and their interaction (interdependency) among each other. Thus, graph theory-based modelling has been done considering both inheritance and interdependency for computing Overall Organisation Sustainability (OOS) score. Finally, permanent scores for matrices obtained from experts’ team have been computed. OOS score for the organisation has been computed and is compared with the scores of hypothetical scenarios. Through the comparison with hypothetically generated practical best and worst-case scenario, insights have been derived.     

Evaluation of sustainability using an integrated approach at process and product level: a case study

The present world is facing problems like rapid depletion of natural resources and undesired environmental changes on a global scale. Manufacturing organisations are realising the importance of mitigating the present crisis and are adopting sustainable manufacturing principles. Since it is important to achieve sustainable manufacturing, sustainability assessment models were developed. Sustainability assessment models have their own drawbacks and may not provide clear scope for complete sustainable development. A system approach has been developed to overcome this shortcoming by integrating various sustainability assessment models that are already in practice. This article reports the advantages of collecting the advantages of individual sustainability assessment models and how the implementation of the integrated approach has helped to identify the current sustainability level and the scope for future developments in an automotive industry.     

The role of the engineering community in sustainable development

Sustainable development is the development that meets the needs of the present generation without compromising the ability of future generations to meet their own needs. Sustainability assessment is an important part of the decision process in organisations. Sustainability is difficult to define or measure because it is a complex concept. To assess the sustainability level of an organisation, a unique attempt has been made using fuzzy-based Kano model based on the stakeholders' satisfaction. The Kano model is a customer satisfaction assessment tool that must be precise, and it is incorporated with fuzzy logic because it has the capability to replicate the human perceptions. In this context, the approach is used to assess the sustainability by using the stakeholders' satisfaction for different criteria and it provides information regarding improvement in sustainability.     

Application of QFD for enabling environmentally conscious design in an Indian rotary switch manufacturing organisation

Many businesses are recognising that environmental consciousness is an important concept for survival in today's highly competitive market. This paper presents a project in which quality function deployment (QFD) for environment (QFDE) has been applied to an Indian rotary switch manufacturing organisation to enable environmentally conscious design at the early stage of product development. QFDE consists of four phases. QFDE phases I and II are concerned with the identification of the rotary switch parts that are important in enhancing environmental consciousness. QFDE phases III and IV are concerned with the evaluation of the effect of design improvement on environmental quality requirements. The results obtained from the case study revealed that QFDE could be applied in the early stage of rotary switch product development as it identified the vital components from an environmental perspective and enabled the options for design improvement to be effectively evaluated. The managerial implications of the case study have also been presented.     

A Graph Theory approach to measure the performance of sustainability enablers in a manufacturing organization

In a manufacturing organization, the term sustainability deals with the impact of production process and products on the environment and society, laying emphasis on preservation of scarce resources. In this article, the study concentrates on developing a Graph Theory model to measure the performance and inter-relationship between the sustainability enablers in an organization, thereby to quantitatively measure the extent to which ‘sustainable manufacturing’ practices are being followed in the organization. The objective of this study was to identify a set of sustainability enablers and attributes that impact a manufacturing organization. Digraphs were developed for the whole system and sub-systems depicting the inter-relationships and dependencies between various enablers and attributes to interpret the performance of the sustainability enablers in the case organization. Using the best case and worst case values, the level of sustainable manufacturing practices of the organization was found by Comprehensive Assessment Index. Based on the best case values, the relative significance of individual sustainability enablers are found and compared with worst case situations. The impacts of individual enablers on the overall sustainability level of the organization were also studied.     

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.     

Decision support for sustainable manufacturing using decision guidance query language

Sustainability has become a very significant research topic as it impacts many different manufacturing industries. Therefore, the technologies for monitoring, analysing, evaluating and optimising the sustainability performance of manufacturing processes and systems are very critical for decision makers on the shop floor. This paper introduces a decision guidance management system that provides actionable recommendations through quantitative analysis of the sustainability measures of manufacturing processes and systems based on life cycle assessment. The system determines decision preferences through dynamically collected data and decision makers' responses, taking into account the prevailing constraints. Optimal decisions can be derived using mathematical and constraint programming. By using decision guidance query language, this methodology allows users to make optimal decisions without an extensive mathematical or operations research background. Knowledge of relational databases is sufficient for a user to formulate the optimisation problem and obtain optimal solutions. The methodology is demonstrated with a machining operation case study, in which a list of sustainability metrics are identified and sustainability modelling methods are proposed. Important sustainable machining performance measures are optimised, resulting in actionable recommendations.     

Supplier evaluation and selection for sustainable supply chain management under uncertainty conditions

Abstract

With the global increasing importance of sustainable development, sustainable supply chain has gained value among both researchers and industrialists in the last decade. Nowadays, industries are facing pressure from government legislation and the global competition in addition to the pressure from their clients to carry out environmentally – conscious actions. Thus, organisations are required to implement actions to enhance their level of both environmental and economic performances. Traditionally, organisations use criteria such as cost, quality and on-time delivery to evaluate their suppliers’ performance. Although there have been numerous studies on the common criteria for these assessments, very few studies have taken sustainable criteria into consideration. Thereupon, this study tries to put forward a complete model for selection and evaluation of the suppliers, considering three criteria for sustainability, thus using the fuzzy group graph theory and matrix approach. It is an innovative approach based on fuzzy logic and group decision-making, which aims to treat lack of certainty in selection and evaluation of suppliers. We will also discuss a case study in the industry to demonstrate the effectiveness of our proposed approach.     

A sustainability approach for selecting maintenance strategy

Appropriate maintenance can prolong the life of an asset and prevent costly breakdowns that may result in lost production, failed shipping schedules and a decline in customer satisfaction. The goal of this study was to present a comprehensive framework that utilises sustainability metrics based on social, environmental and economic criteria to select an appropriate maintenance strategy among a variety of maintenance strategy alternatives, such as preventive, failure-based, reliability-centred, condition-based and total productive maintenance strategies, for a manufacturing company. The sustainability-based approach may significantly influence the personnel, energy, material and the overall costs in a company. In the first step of this paper, a sustainability-based decision-making structure is proposed for the maintenance strategy selection problem applying the concept of factor analysis to determine the leading factors in each of the sustainability pillars. In the next step, a fuzzy VIKOR framework is used to select the most appropriate maintenance strategy. The provided approach is illustrated using a manufacturing industry case study.     

开发区土地利用的可持续性评价及实践研究—以芜湖经济技术开发区为例

目前国内土地资源可持续利用的研究主要集中在城市和县域尺度,关于开发区这一特殊经济区域的相关研究还较少。开发区是我国当前经济的重要增长点,所具有的良好示范和带动作用可促进其腹地甚至其他地区的可持续发展,因此评价和监测开发区土地可持续发展的状态和程度具有重要意义。以芜湖经济技术开发区为例,从土地开发利用状况、社会影响和环境质量三方面构建了开发区土地可持续利用的综合评价指标体系,运用模糊数学的方法对芜湖经济技术开发区土地利用的可持续性进行了综合评价,评价结果为该区土地利用的可持续性对中度可持续的隶属度0.539最大,根据最大隶属度原则,该区土地利用的可持续性为中度可持续。     

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.     

Toward systemic campus sustainability: gauging dimensions of sustainable development via a motivational and perception-based approach

Universities have long borne an influential role in sustainability. Nonetheless, the affinity toward eclectic and piecemeal practices has been addressed as oxymoron to the essence of sustainable development, and the need to hone campus members’ buy-in is credited to be cardinal for systemic transformation. Major attributes for systemic campus sustainability are identified, incorporated, and proposed via a conceptual model. Those attributes are key sustainable development areas as well as perception and motivation on the topics that must be taken into consideration by universities to be able to adhere to a more pragmatic and inclusive sustainable development. Thus, the central intent of the authors is to offer a mechanism which may facilitate as well as elevate systemic campus sustainability. An extensive review of the literature in the area of sustainability, perception, and motivation is conducted, which includes articles, journals, conference proceedings, university reports, books, and materials from websites. By extracting and integrating crucial constituents of sustainable development from various studies, this paper contributes to the existing literature on sustainable development providing an input to the implementation of systemic campus sustainability.     

State-of-the-art sustainability analysis methodologies for efficient decision support in green production operations

Over the last three decades, new concepts, strategies, frameworks and systems have been developed to tackle the sustainable development issue. This paper reviews the challenges, perspectives and recent advances in support of sustainable production operations decision-making. The aim of this review is to provide a holistic understanding of advanced scientific analysis methodologies for the evaluation of sustainability, to provide efficient decision support. Over 100 publications have been analysed, and a characterisation of state-of-the-art sustainability analysis methodologies has been produced, which includes life cycle assessment and multi-criteria decision analysis (MCDA), along with their applications to three key areas of production operations: sustainable design, sustainable manufacture and sustainable supply chain management. Distribution of existing work is discussed and future research directions are elicited from the literature. The paper finds three trends in supporting sustainable production operations decisions: (a) sustainability analysis has moved to whole life cycle assessment from single-stage assessment, (b) sustainability analysis has shifted away from single criterion to MCDA and (c) sustainability analysis has evolved from stand-alone approaches to integrated systematic methodologies. The paper concludes that integrated sustainability analysis can provide more efficient and effective support to complex decision-making in sustainable production operations.