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.     

Achieving sustainability in manufacturing via organisational and operational learning

The contribution contained in this paper focuses on providing a possible framework or approach in respect of how manufacturing companies can economically introduce environmentally friendly practices to their production operations, whilst at the same time encouraging organisational and operational learning with the aim of eventual evolution of the firm into an eco-efficient concern. A key premise associated with the approach advocated is economical organisational and operational learning over time, thus providing a sequential movement of the company through various stages of cultural change and technological capability to eventually achieve eco-efficiency in its production activities. At each stage in the process, it is suggested that a balance must be maintained between on the one hand, a reduction in operational economics consistent with on the other hand, an improvement in the environmental sustainability of company activities. To that end, some previously suggested monitoring metrics are examined in the text for their efficacy and economic rapport via hypothetical examples of how they might be applied in practice to monitor movement towards industrial–environmental sustainability.     

Application of fuzzy QFD for enabling sustainability

Contemporary manufacturing organisations recognise sustainability as an important concept for survival. Environmental awareness and recycling regulations have been compelling manufacturers and consumers to evolve sustainable strategies. The modern customers' voices need to be translated with care into technical requirements. Quality function deployment (QFD) is a technique extensively used for this purpose. In order to cope with the vagueness associated with relationships and correlations in QFD, fuzzy numbers have been integrated within a QFD framework and fuzzy QFD has been used in this study. The study is concerned with the application of fuzzy QFD for enabling sustainability in an Indian modular switches manufacturing organisation. The approach is effective in the identification of sustainable competitive bases, sustainable decision domains, sustainable attributes and sustainable enablers for the organisation. The improvement in sustainability has been measured from three perspectives. The results gained as a result of the study indicated that fuzzy QFD could be used as an enabler of sustainability.     

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.     

A proposed framework to assess upstream supply chain sustainability

There are few methods that are suitable for assessing the sustainability of companies and supply chains in an integrated way, taking into consideration the economic, social and environmental dimensions. This paper proposes a framework for assessing the sustainability of individual companies and their corresponding upstream supply chain. The framework consists of a set of steps to evaluate the sustainability of both the individual company and their upstream supply chain. The linear aggregation technique is suggested to combine the set of indicators from the economic, environmental and social dimensions of sustainability into a unique value, giving rise to a composite index for the company and corresponding supply chain. The proposed framework represents a contribution in the area of index construction and could be used as a valuable component of sustainability reporting and sustainability management practices. It also represents an important benchmarking tool, offering managers the possibility of identifying the supply chain partners that are best and worst performers in terms of sustainability while at the same time making it possible to improve company performance. Managers can adjust their company’s behaviour according to their sustainability index score and improve economic, social and environmental performance.     

Multiscale Methodological Framework to Derive Criteria and Indicators for Sustainability Evaluation of Peasant Natural Resource Management Systems

Design and implementation of more sustainable natural resource management systems is the current objective of many research institutions, development agencies, NGOs and other stakeholders. But, how to assess whether a system is sustainable? How do we know whether the alternatives designed will increase the sustainability of the system? How to evaluate or assess the sustainability of natural resource management systems?In this paper we present a multiscale methodological framework for sustainability evaluation. The framework is based on a systems approach from which five general attributes of sustainable natural resource management systems are defined based on scale- and discipline-independent properties (productivity, stability, resilience, reliability and adaptability).A general operational strategy to derive ‘site-specific’ criteria and indicators for the attributes at different scales is also presented. This strategy is based on the definition of ‘impact scales’, at which the different stakeholders can or want to design alternatives, as well as the main stakeholders’ objectives and constraints. The application of the multiscale framework is illustrated with a case study in the Purhepecha Region of Michoacán, a peasant mountainous region in the west of Mexico. We used stakeholder consultation to identify the main objectives and constraints as well as to select criteria and indicators. The sets of criteria and indicators suggested for the different scales of analysis of the Purhepecha Region are comprehensive, yet not exhaustive, and represent the main issues related to natural resource management in the region. Further work will be directed towards the quantification of indicators at different scales and their relationships and trade-offs.     

Creating a “values” chain for sustainable development in developing nations: where Maslow meets Porter

This paper serves to establish an appropriate framework for prioritizing policy related to sustainable development by combining elements of Maslow’s hierarchy of needs theory with Porter’s value chain theory. An appropriate balance of social sustainability, economic sustainability, and environmental sustainability is defined so that policy makers may be provided some direction in regard to appropriate and socially just resource priorities. The model that forms the basis for this framework is then tested through hierarchal regression analysis using data from 45 developing countries. Using these results, the values chain framework has been refined to consider that self-actualization and sustainable development are one and the same and that the satisfaction of society’s physiological needs through the prioritization of policies related to environmental sustainability is the principle motivator for moving on to the attainment of higher-order needs such as increased levels of sustainable development.     

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.     

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.     

Screening of process alternatives based on sustainability metrics: comparison of two decision-making approaches

Importance of sustainability concerns demands consideration of sustainability design criteria in early stages of process design. Most often there are several alternatives for a particular process which must be compared in terms of sustainability metrics to select the most sustainable design. There are several tools available for evaluation of process alternatives in terms of sustainability concerns. However, there is a need for a screening method which enables engineers to compare and select several alternatives in terms of a multitude of metrics and also incorporate their preferences if required. This study utilizes a recently developed sustainability evaluator for process evaluation and compares overall impact factor method for process screening with a novel fuzzy-based approach. The applicability of the proposed method is demonstrated though application of the methodology on ibuprofen case study to select the most sustainable design.     

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.     

Scientific understanding of stakeholders’ behavior in mining community

We attempt to understand, scientifically, how different members of the mining concession, impacted communities, and government authorities behave when a conflicting situation arises. The main purpose of our effort is to start developing a framework for the scientific modeling of stakeholders’ behavior, and we create a reality-driven generic scenario of conflict. We assume that the managers and superintendants of a mining operation currently envision a problem; one that tests the limits of the commitment of the company’s mission statement, and of the spectrum of actions taken which are embedded in the “culture” of the company’s corporate social responsibility. It is an “event” that highlights the nature of an overall problem that the company would like to predict and act proactively: the integration of scientific tools, sustainability, and cultural realities within a mining framework. We adapt an agent-based modeling approach and start with a theoretical understanding of certain social behavior, build a model, and simulate “what if” scenarios to understand its dynamics to gain a better insight of the complexity of a seemingly simple social system of interest.     

A sustainability assessment framework for regional-scale Integrated Coastal Zone Management (ICZM) incorporating Inclusive Wealth,Satoumi, and ecosystem services science

Sustainability has become an increasingly important concept in the last few decades; however, its operational usefulness has not always been clear. In other words, some sustainability assessments may not provide decision makers with the practical information necessary to perform the assessment. This study proposes a novel operational sustainable assessment framework for Integrated Coastal Zone Management (ICZM) on a regional-scale based on a feasibility study in the Seto Inland Sea in Japan. The framework draws upon three separately developed concepts: Inclusive Wealth as the technical framework for the sustainability indicators; Satoumi (a traditional Japanese multifaceted coastal zone concept); and ecosystem services science. These three concepts complement each other when seeking to corroborate an assessment framework. Indicators based on the framework and relevant to the case study site were identified. Although Satoumi is a traditional Japanese knowledge, it is believed that its application may be instructive for other areas, as similar concepts can be found and utilized for the conduct of ICZM sustainability assessments.     

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.     

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.     

A comparison of four sustainable manufacturing strategies

Effective use of materials is one possible component of a sustainable manufacturing strategy. There are many such strategies proposed in the literature and used in practice, with confusion over what they are, what the differences among them may be and how they can be used by practitioners in design and manufacture to improve the sustainability of their product and processes. This paper reviews the literature on sustainable manufacturing strategies that deliver improved material performance. Four primary strategies were found: waste minimisation; material efficiency; resource efficiency; and eco‐efficiency. The literature was analysed to determine the key characteristics of these sustainable manufacturing strategies and 17 characteristics were found. The four strategies were then compared and contrasted against all the characteristics. While current literature often uses these strategy titles in a confusing, occasionally inter‐changeable manner, this study attempts to create clear separation between them. Definition, scope and practicality of measurement are shown to be key characteristics that impact upon the ability of manufacturing companies to make effective use of the proposed strategy. It is observed that the most actionable strategies may not include all of the dimensions of interest to a manufacturer wishing to become more sustainable, creating a dilemma between ease of implementation and breadth of impact.     

Policy sciences contributions to analysis to promote sustainability

The policy sciences, in offering the most comprehensive approach to policy analysis and the sociopolitical processes that shape policy outcomes, is particularly appropriate for guiding the analysis required to promote sustainability. This article presents the main components of the policy sciences framework and demonstrates its potency in the crucial task of deepening the problem definitions required to select and enact policies to promote sustainability. As such, it provides background for the policy sciences articles of this special feature.

Manufacturing system sustainability through lean and agile initiatives

Sustainability is one of the most critical issues facing manufacturers today. The industries must develop new and innovative approaches to ensure sustainability in economic, environmental and social aspects. The operational excellence strategies such as Lean and Agile manufacturing can be applied in the industries that add value to the product by eliminating waste and quickly respond to dynamic changes in demand. This paper presents a framework that builds and assesses the sustainability of the manufacturing system with combined lean and agile concepts. Analytical Hierarchy Process and Analytical Network Process are identified as suitable methodologies to analyze the model. The model is validated in an Ayurveda Pharmaceutical industry to identify the most important factors of lean and agile manufacturing that build and enable the sustainability dimensions such as Economic, Environmental, Social, Technological and Ethical. The results show that the industry focuses more on economic aspects of sustainability followed by social, environmental, ethics and technological dimensions of sustainability in the case of a lean perspective. For an agile perspective, the weightage is more for social dimension followed by ethics, economic, technological and environmental dimensions of sustainability.     

Sustainable supply chain network design: a multicriteria perspective

In this paper, we develop a rigorous modelling and analytical framework for the design of sustainable supply chain networks. We consider a firm that is engaged in determining the capacities of its various supply chain activities, i.e. the manufacturing, storage and distribution of the product to the demand locations. The firm is faced with both capital costs associated with constructing the link capacities and the links' operational costs. Moreover, the firm is aware of the emissions generated associated with the alternative manufacturing plants, storage facilities and modes of transportation/shipment, which may have different levels of emissions due, for example, to distinct technologies of, respectively, production, storage and transportation. The firm is assumed to be a multicriteria decision-maker who seeks to not only minimise the total costs associated with design/construction and operation, but also to minimise the emissions generated, with an appropriate weight, which reflects the price of the emissions, associated with the various supply chain network activities. We provide both the network optimisation modelling framework and an algorithm, which is then applied to compute solutions to a spectrum of numerical sustainable supply chain design examples in order to illustrate our approach.     

Flora biodiversity change detection: a case study

Changes in flora biodiversity are a dilemma facing managers in order to cope with challenges of extinction or endangering plant species as well as replacement by invasive species. Such problems can occur in the region as disruption of ecosystem balance. The first step of proper management of a watershed is obtaining accurate information about plant communities and their dominance and biodiversity status. Such information will help decision makers to adopt an appropriate management approach. Accordingly, the current study was conducted to detect various types of plant species in Zanjanrood Watershed. For this porous, quadrate and transect methods were applied to determine available plant species in the region. Afterwards, Shannon and Simpson’s Reciprocal indices were used to specify the biodiversity status of the identified communities. The calculation results revealed 3.19 and 5.98 for Shannon and Simpson’s Reciprocal indices, respectively. As the results suggested, there has been a downward trend in biodiversity status over the last 20 years. Such a deteriorating condition has been accelerated rise in recent years so that the non-palatable species are rapidly replaced by the palatable ones due to uncontrolled overgrazing of livestock. If management is not based on principles of sustainability in the region, the watershed will experience an extreme poverty of land cover. The findings would be so helpful to achieve an appropriate strategy in order to conserve the biodiversity in a sustainable manner.