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This research identifies the supply chain performance indices and designs an evaluation framework to assess and compare the Indian petroleum supply chain performance. We presented a case study of three Indian petroleum companies. For this purpose, we identified fifteen performance criteria extracted from previous literature and expert inputs and classified them into four groups.

A fuzzy technique for order preference by similarity to the ideal solution (TOPSIS) method is employed for evaluating the performance of the Indian petroleum supply chain.

The design and evaluation framework suggests that the top three performance measurement criteria, the purity of the products, compliance with environmental laws, and new technology adoption. The result findings also indicate that company C contributes to a maximum satisfaction level of 77%. Simultaneously, companies A and B hold satisfaction levels of 72% and 67%.

The managers should ensure that environmental standards, new technology adoption, and quality are significant concerns in the petroleum supply chain. The managers should follow national and international policies to preserve the environment and ensure safety in operational activities.

This paper makes two contributions in the domain of performance measurement of the petroleum supply chain. First, it identifies the prominent supply chain performance indices. Second, it proposes a model to assess and compare the performance of Indian petroleum companies.

Disruptive technologies can significantly contribute to the sustainability of operations in the petroleum supply chain. The present study aims to identify the prime sustainable dimensions and disruptive technologies implementation in the supply chain of the petroleum industry. The authors used content analysis in the literature and experts input to explore the sustainable dimensions and disruptive technologies in the supply chain.

This study used a hybrid method of hesitant fuzzy set and regret theory to identify the prominent sustainability dimensions and prominent disruptive technologies. This method emphasizes the decision-makers psychological characteristics under uncertain environments.

The result indicates that social responsibility, labor practices, safety and technical standards hold the most prominent sustainable dimensions in the petroleum supply chain. Further, the result also depicts that when consider an equal degree of regret and rejoice, artificial intelligence and big data could significantly enhance operations sustainability in the petroleum industry.

This study considers only 11 sustainable dimensions and 43 sustainable factors, whereas other dimensions and factors could also be considered in future research. The research uses hesitant fussy set and regret set theory to identify the prominent sustainable dimensions and disruptive technologies, whereas other multiple-criteria decision-making (MCDM) techniques can also be used.

To the best of the authors’ knowledge, this is the first paper to explore the sustainable dimensions (environmental, social and economic) and disruptive technologies in the supply chain of the petroleum industry. This research intended to guide the practitioners, policymakers and academicians to emphasize their effort toward sustainable operations supply chain management.

The growing demands of work and life have shifted the concept of work-life balance to work-life integration (WLI). The success of integration depends upon the flexibility to perform the duties. This paper aims to explore the factors that affect WLI and the role of flexible work arrangements (FWAs) in the process of WLI.

Systematic literature review was used to explore the concept of WLI and FWAs. A bibliometric analysis was carried out with Bibexcel and VoSviewer.

This paper explained the organizational and personal factors that create the demand for WLI. The FWAs, perceived flexibility, technology and self-efficacy have important roles in WLI. The result of WLI can be enrichment or strain, depends upon how effectively the work-life domains are integrated.

This paper explores the work-life from both personal and organizational views. The findings of this paper will be useful to design the organizational policies and work arrangements that match the requirements of employees and organizations. This paper helps to develop the future research agenda of investigating the relations of WLI to performance, organizational policies and personal factors.

This chapter of the book aims to achieve sustainability and productivity in light of the interaction between managers and engineers in a lean and agile supply chain management system in today’s organizations. The main innovation of this chapter is the use of the balanced scorecard (BSC) model and fuzzy analysis network process (FANP) to create a suitable platform for the realization of this interaction between managers and engineers and to identify exactly which expert system is ideal for the main purpose. Indeed, this chapter introduces its readers to the application of strategic management tools such as the BSC accompanied by FANP in the elements of supply chain management where data analysis of lean and agile networks in supply chain management can create a competitive advantage in the organization.

Sustainability issues on economic, environmental and social perspectives have drawn attention of environmentalists, ecologists and governments. In this context, circular economy provides an opportunity to transform waste into resources, reduction of production and consumption activities; and reduction of carbon footprints, all at the same time. The purpose of this paper is to develop a strategic framework for measuring circular supply chain management.

A grounded theory approach has been used to develop the strategic framework for circular supply chain management.

This study provides an integrative framework for studying, designing and evaluating circular supply chain management performance matrix.

A conceptual strategic framework has been proposed to measure the performance of circular supply chain management. Further empirical studies may be carried out to validate the framework.

The conceptual strategic framework provides key indicators for reducing material consumption, reducing waste, reducing carbon footprint and recycling opportunities throughout the supply chain. These may be utilized by practitioners for gaining competitive advantage.

This paper provides insights into development of circular supply chains that provides opportunities for cost reduction and securing competitive advantage for a business in the long run.

Globally, the oil and gas (OG) industries are under pressure from numerous stakeholders for their sustainable operations against the backdrop of climate change, ecological damage and social challenges. Drawing on the twin theoretical frameworks of the institutional theory and dynamic capability perspective, this study aims to examine the impact of the institutional pressures and dynamic capabilities on the overall sustainability performance of OG industry.

This study uses survey method to analyze the responses from 275 middle management professionals of OG industry in India using partial least squares structural equation modeling. Further, focused group discussions with the select industry leaders validate the empirical findings of this study.

The research reveals that both institutional pressures and firm’s dynamic capabilities have significant positive impact on its economic and environmental performances in OG sector in India. However, they do not have any impact on social performance, unlike earlier findings.

The main limitation of the study is generalizability of the findings, given the cross-sectional design of the study.

Insights of this study will help regulators and policymakers in formulating effective regulatory and policy frameworks, besides creating awareness amongst the organizations to simultaneously focus on all the three aspects of sustainability performance.

The research has bearing on policy formulation and creating a regulatory ecosystem to ensure overall sustainability performance of OG industry in India.

To understand the role of the unorganized sector in the push toward a circular economy (CE), the authors consider the case of the unorganized tire retreading industry in India and examine the barriers it faces in contributing to a circular tire supply chain in India.

The authors used grounded theory methodology (GTM) to understand the barriers to realizing the CE in the Indian unorganized tire retreading industry. This methodology facilitates the acquisition of new insights into an existing phenomenon or in studying emerging areas that require investigation.

Through the analysis, the authors tease out ten critical barriers that impede the Indian unorganized tire retreading industry. The two most vital barriers are the lack of effective promotional methods and the poor implementation of standards.

This study emphasizes the importance of further investigating the potential role of the unorganized sector in fostering the transition to a CE in emerging economies.

The research provides useful policy prescriptions to regulators and insights to original tire manufacturers (OTMs) that enable the unorganized tire retreaders in India to contribute to the movement toward a circular supply chain (CSC).

This study is the first to systematically examine the unorganized sector to understand the barriers to CE. This study provides an original theoretical contribution by expanding the scope of stakeholder and institutional theories.

The purpose of the present study is to investigate the effects of strain-induced martensite (SIM) and its reversal on metastable austenitic stainless steel (MASSs) through the analysis of metallurgical and sensitisation behaviour.

In the present investigation, the samples of Cr-Mn ASS (also known as MASSs) including 15%, 30% and 50% cold worked, solution annealed samples with and without thermal ageing (at 700°C for 3 h) were analysed with the help of X-ray diffraction analysis, microstructure examination and electrochemical behaviour. The scanning electron microscope (SEMJOEL 6380 A) was used to examine the microstructure of the sample, and the double-loop electrochemical potentiokinetic reactivation test was used to determine the degree of sensitisation (DOS) in the samples. The cold worked solution annealed samples without thermal ageing are named as CR15, CR30 and CR50, respectively, and the samples with thermal ageing are named as CR15_TA, CR30_TA and CR50_TA, respectively.

In CR15, CR30 and CR50 samples, the DOS increased with increase in the extent of cold working, which was attributable to passivation deterioration. Because of the high degree of passivation at the grain boundaries, the DOS of CR15_TA and CR30_TA were practically identical. The DOS in the CR50_TA sample, on the other hand, was lowered due to SIM recovery in the austenite.

The present study sheds light on how to choose the right cold working percentage to avoid sensitisation in MASSs during the fabrication of metal forming components.

The purpose of the study is to evaluate Cr-Mn ASS weld using different heat inputs for its microstructure, mechanical properties and electrochemical behavior. The microstructural examination used optical and scanning electron microscopy. It was observed that ferrite content decreases with increasing heat input. The length of dendrites, inter-dendritic space and volume of lathy ferrite increase with increasing heat input. The increasing heat input caused grain coarsening near the fusion boundary and produced wider heat-affected zone (HAZ). It also decreases hardness and tensile strength. This is attributed to formation of more δ ferrite in the weld. The electrochemical evaluation suggested that the δ ferrite helps in improving the pitting potential in 3.5 per cent NaCl solution saturated with CO₂. Whereas in 0.5-M H2SO4 + 0.003-M NaF solution, higher passivation current density was observed because of dissolution of dferrite. The interphase corrosion resistance decreased with increasing heat input.

The Cr-Mn austenitic stainless steel or low-nickel ASS was procured in form of 3-mm sheets in rolled condition. The tungsten inert gas welding was performed at three different heat inputs (100 A, 120 A and 140 A), argon as shielding gas with a flow rate of 15 L/min. Different welded regions were observed using optical microscope and scanning electron microscope. Electrochemicals test were performed in solutions containing 3.5 per cent NaCl with saturated CO₂ solution and 0.5 M sulfuric acid + 0.003 M NaF at a scan rate of 0.1667 mV/s at room temperature (30 °C ± 1 °C) using a potentiostat.

The test steel Cr-Mn ASS is suitable with the selected electrode (308 L) and it produces no defects. Vermicular ferrite and lathy ferrite form in welds of various heat inputs. The increase in heat input reduces the formation of lathy ferrite. The width of HAZ and un-mixed zone increases with increase in heat input. The weld zone of low heat input (LHI) has the highest hardness and tensile strength because of higher δ ferrite content and small grain size in the weld zone. The hardness at high heat input (HHI) is found to be lowest because of grain coarsening in the weld. With increase in δ ferrite, the pitting resistance increases. In 0.5-M sulfuric acid + 0.003-M NaF, the increase in ferrite content reduces the passivation current density. Interphase corrosion resistance increases with increase in δ ferrite content as higher per cent degree of sensitization was observed in LHI welds as compared to medium heat input and HHI welds.

This work focuses on welding of ASS by tungsten inert gas welding at different heat inputs. Welding is a critical process for joining metals in most of the fabrication industries and proper heat input is required for getting desired microstructure in the weld metal. This would highly affect the strength and corrosion behavior of the alloy. This paper would give an understanding of how the change in heat input by tungsten inert gas welding affects the microstructural and corrosion behavior in the weld metal.

Blockchain has been considered a disrupting technology that can add value in various supply chains differently. The provenance framework matches the four blockchain capabilities of traceability, certifiability, trackability and verifiability to the five generic risks, namely, the financial risk, psychological risk, social risk, physical risk and performance risk. This will help in uncording which specific risk gets mitigated by the use of blockchain in a specific supply chain.

This study illustrates four supply chains, namely, pharmaceutical industry, fast moving consumer goods industry, precious metal and automotive industry, and maps the risks associated with them to the provenance framework wherein the applicability of blockchain is mapped. Fuzzy analytical hierarchical processing (F-AHP) is used to rank the risks in the supply chain.

Blockchain capabilities can elevate the provenance knowledge leading to assurance in terms of origin, authenticity, custody and integrity to mitigate the supply chain risks. Present work highlights the thrust areas across various supply chains and identifies the risk priority tasks aligning the contextual supply chain risks. This study has covered five major risk perceptions. This study contributes to the literature on blockchain, customer perceived risk, provenance and supply chain.

This methodology can be adopted to understand and market the application of blockchain in a supply chain. It brings the marketers and marketing perspective to the supply chain. Exhaustive risk perception can be included to get more comprehensive data on mapping the risks along different supply chains. Vertical extensions of this work can be consideration of other supply chains including dairy, fruits and vegetables, electronics and component assemblies to derive the comprehensive framework for mapping risk perceptions and thereby supply chain risk mitigation through blockchain technology.

This linkage between blockchain, perceived risk, applications in the supply chain and a tool to convince the customers about the blockchain applicability has not been discussed in the literature. Adopting the multi-criteria decision-making F-AHP approach, this study attempt to rank the risks and stimulate conversations around a common framework for multiple sectors.