Social sustainability assessment framework for indian manufacturing industry

Digalwar, Abhijeet K.; Dambhare, Sunil; Saraswat, S. K.

doi:10.1016/j.matpr.2019.12.226

Cited by 21 publications

(8 citation statements)

References 10 publications

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“…(2015) formulated an integrated framework for making decisions about the GSS in the food supply chain. Digalwar et al (2020) focused on social sustainability assessment for GSS with specific emphasis on the manufacturing industry. Handfield et al.…”

Section: Prior Artmentioning

confidence: 99%

“…Banaeian et al (2015) formulated an integrated framework for making decisions about the GSS in the food supply chain. Digalwar et al (2020) focused on social sustainability assessment for GSS with specific emphasis on the manufacturing industry. Handfield et al (2002) incorporated environmental dimensions into purchasing decisions by considering both qualitative and quantitative factors.…”

Section: Review Of Gssmentioning

confidence: 99%

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Strategic sourcing model for green supply chain management: an insight into automobile manufacturing units in India

Ghosh

Mandal

Ray

2021

BIJ

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PurposeSupplier selection (SS) is one of the prime competencies in a sourcing decision. Taking into account the key role played by suppliers in facilitating the implementation of green supply chain management (GSCM), it is somewhat surprising that very little research attention has been imparted to the development of a strategic sourcing model for GSCM. This research aims to develop a strategic sourcing framework in which supplier organizations are prioritized and ranked based on their GSCM performance. Accordingly, the benchmark organization is identified and its strategy is explored for GSCM performance improvement.Design/methodology/approachThe research develops an innovative GSCM performance evaluation framework using six parameters, namely, investment in corporate social responsibility, investment in research and development, utilization of renewable energy, total energy consumption, total carbon-di-oxide emissions and total waste generation. An integrated multicriteria decision-making (MCDM) approach is proposed in which the entropy method calculates criteria weights. The Complex Proportional Assessment (COPRAS) and the Grey relational analysis (GRA) methods are used to rank supplier organizations based on their performance scores. A real-world case of green supplier selection (GSS) is considered in which five leading India-based automobile manufacturing organizations (Supplier 1, Supplier 2, Supplier 3, Supplier 4 and Supplier 5) are selected. Surveys with industry experts at the strategic, tactical, and operational levels are carried out to collect relevant data.FindingsThe results reveal that total carbon dioxide emission is the most influential parameter, as it gains the highest weight. On the contrary, investment in research and development, and total waste generation have no significant impact on GSCM performance. Results show that Supplier 5 secures the top rank. Hence, it is the benchmark organization.Research limitations/implicationsThe proposed methodology offers an easy and comprehensive approach to sourcing decisions in the field of GSCM. The entropy weight-based COPRAS and GRA methods offer an error-free channel of decision-making and can be proficiently used to outrank various industrial sectors based on their GSCM performances. This research is specific to the automobile manufacturing supply chain. Therefore, research outcomes may vary across supply chains with distinct characteristics.Practical implicationsThe basic propositions of this research are based on a real-world case. Hence, the research findings are practically feasible. The less significant parameters identified in this study would enable managers to impart more attention to vulnerable areas for improvement. This research may help policymakers identify the influential parameters for effective GSCM implementation. As this research considers all aspects of sustainability, the strategies of the benchmark supplier have a direct impact on organizations' overall sustainability. The study would enable practitioners to make various strategies for GSCM performance improvement and to develop a cleaner production system.Originality/valueThe originality of this research lies in the consideration of both economic, social, environmental and operational aspects of sustainability for assessing the GSCM performance of supplier organizations. Quantitative criteria are considered so that vagueness can be removed from the decision. The use of an integrated grey-based approach for developing a strategic sourcing model is another unique feature of this study.

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Section: Prior Artmentioning

confidence: 99%

Section: Review Of Gssmentioning

confidence: 99%

Strategic sourcing model for green supply chain management: an insight into automobile manufacturing units in India

Ghosh

Mandal

Ray

2021

BIJ

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“…An environment-conscious unit plays a vital role to guide the other manufacturing unit. The economic progress and industrial development of a country (Digalwar et al , 2020) depends on manufacturing industries which are rapidly expanding their worldwide market in recent times, but due to this fact, there are several environmental issues rising continuously (Kushwaha and Sharma, 2016). Basically, manufacturing industries generate a larger amount of offensive pollutants, scrap and hazardous wastes which have both direct and indirect impact on environment, ecology and public health (Mathivathanan et al , 2018).…”

Section: Introductionmentioning

confidence: 99%

Selection of environmental-conscious sourcing: an empirical investigation

Ghosh

Mandal

Ray

2021

BIJ

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PurposeThe prime objective of this paper is to design a green supply chain management (GSCM) framework to evaluate the performance of environmental-conscious suppliers using multi-criteria decision-making (MCDM) approach.Design/methodology/approachThe literature survey reveals critical factors for implementing GSCM, adopted methodologies and the result obtained by several researchers. Data have been collected by conducting surveys and interviews with strategic-level personnel of five esteemed organizations in automobile manufacturing sectors. A GSCM framework is developed in which a mathematical tool entropy–the technique for order of preference by similarity to ideal solution (TOPSIS) has been used to analyze the six parameters of automobile manufacturing unit. Initially, entropy is used to find the weights of each of the parameters that influence the decision matrix of the TOPSIS method. Secondly, the proposed GSCM framework ranks the supplier. Finally, sensitivity analysis of the model satisfies the GSCM framework and benchmarked the supplier.FindingsThe result shows that “Total CO2 emission” has an influential role for GSCM sustainability, and hence, firms should put more effort to reduce emissions to improve overall performance. Again, the parameters like investment in R&D and total waste generation may be ignored in the selection process. The result reveals the benchmarked supplier and its strategies for effective sourcing, which would have an indirect effect on organizations' overall sustainability.Research limitations/implicationsThis research entirely focuses on sustainability within supply chain considering economic, social and environmental paradigms. The mathematical modeling of the proposed work considers many influential parameters and provides an easy and comprehensive decision-making technique.Practical implicationsThe methods may be adopted by the industries for sustainable supply chain management. This study benchmarks the supplier organizations and explores the adopted policies by benchmarked organizations. Other organizations should follow the policies followed by benchmarked organization for enhancing environmental, social and economic performance. Organizations striving for sustainable development can adopt this framework for evaluation of supplier performance and benchmark with better accuracy.Originality/valueThe design of the GSCM framework explores both the qualitative and quantitative data based on environmental, social and economic parameters simultaneously in the evaluation of environmentally conscious suppliers. The research also investigates the constraints of the system to implement the GSCM in automobile manufacturing unit. Additionally, the sensitivity analysis justifies the benchmarked supplier and the adopted strategies to be followed by other manufacturing unit.

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“…Finally, toward developing a model and a framework, Toke and Kalpande (2018) developed a framework for green manufacturing implementation in Indian manufacturing industries. Sangwan et al (2018) discussed sustainability assessment models for manufacturing organizations based on resources sustainability, critical success factors, sustainability dimensions and life cycle sustainability, and a survey of industry professionals was carried out by Digalwar et al (2020) to develop a mathematical model for assessing social sustainability in the Indian context. After an extensive literature survey, 22 barriers related to sustainable manufacturing systems have been identified and categorized into four different types, i.e.…”

Section: Literature Reviewmentioning

confidence: 99%

Identification and testing of barriers to sustainable manufacturing in the automobile industry: a focus on Indian MSMEs

Virmani

Bera

Kumar

2020

BIJ

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PurposeThe purpose of the study is two-fold. First, to find out the different barriers that prevent the implementation of sustainable manufacturing practices in the case of Micro, Small and Medium Enterprises (MSMEs). Second, quantifying the relative intensity of these barriers to understand the importance and dependence power of the observed variables.Design/methodology/approachPrimary data were collected via structured questionnaires from 150 Indian MSMEs working in the automobile industry. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) was performed. Finally, barriers are ranked using graph theory and matrix approach (GTMA), considering the inheritance and interaction among the observed variables.FindingsThere are a total of 22 barriers to “sustainable manufacturing”. EFA and CFA models confirmed four different categories of barriers. In order of importance, they are ranked as – production and operations related; organization related; collaboration related; and government rules and regulations.Practical implicationsThe findings show that there are multiple barriers to sustainable manufacturing. The barriers are categorized into four major categories, and their ranking provides an opportunity for prioritization from both policy and managerial perspectives. The barriers can be overcome through both policy interventions as well as through best practice sharing, benchmarking and organizational-wide initiatives.Originality/valueThe study is among the first studies that provide valuables insights on what are the 22 different barriers to sustainable manufacturing and its relevance to the MSMEs working in the automobile industry. The study would provide further opportunities for similar studies in different sectors.

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Social sustainability assessment framework for indian manufacturing industry

Cited by 21 publications

References 10 publications

Strategic sourcing model for green supply chain management: an insight into automobile manufacturing units in India

Strategic sourcing model for green supply chain management: an insight into automobile manufacturing units in India

Selection of environmental-conscious sourcing: an empirical investigation

Identification and testing of barriers to sustainable manufacturing in the automobile industry: a focus on Indian MSMEs

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