Search results

The purpose of this paper is to establish the structural relationships between the environmental sustainability enablers (ESEs) for the steel supply chain in India and also to classify them on the basis of driving and dependence power with an objective of achieving enhanced environmental sustainability performance.

The ESEs were identified through extensive literature review and discussion held with experts from the Indian steel industry. The interpretative structural modeling (ISM) approach was applied to an Indian steel supply chain to arrange these 12 ESEs in different hierarchies of the structural framework on the basis of their driver dependence power and also diagraph was developed to classify them.

The water pollution control system, air pollution control system and soil pollution control system were found to be in the bottom hierarchy of the ISM framework and these enablers were also observed in the driving quadrant of the diagraph. These driving enablers should be given priority for its full-scale development, management and monitoring to sustain and enhance the environmental sustainability in the Indian steel supply chain, whereas top management commitment, environment compliance certification and government regulation and incentives are the antecedents for carrying out the sustainability program.

The outcomes of the current study are limited to the Indian steel manufacturing company in specific but the results will not change significantly for the steel sectors in India. However, an empirical analysis can be used to explore and validate the structural framework for its acceptability.

The outcomes from the methodology provide the basis for an Indian steel manufacturing industry to develop the right strategy in their quest for environmental sustainability.

Although the study on ESEs of various industries was reported in the literature, the comprehensive study to identify the significant ESEs related to the Indian steel supply chain for environmental sustainability in specific have been hardly carried out. The current study will definitely be a valuable addition to environmental sustainability literature in general and steel supply chain environmental sustainability in specific.

The aim of this paper is to propose a simulation study of the “steel supply chain” to demonstrate the effect of inventory management and demand variety on the bullwhip effect mitigation.

The relevant literature is reviewed, and then the simulation model proposed.

This study identifies reasons for sharing information under varying levels of demand and some variants, and demonstrates the benefits of mitigating the bullwhip effect by applying a design of experiment. It is shown that the information sharing is able to mitigate the bullwhip effect in the steel supply chain by extending the order interval and minimising the order batch size.

This study explores the factors associated with the bullwhip effect. This research is focused on built‐to‐order simulation, so the results are only oriented on the basis of orders; hence a simultaneous order‐ and forecast‐based steel supply chain should be carried out in the future.

This framework is expected to provide a convenient way to measure the optimum inventory level against a limited level of demand uncertainty, and thus enterprises can promote the supply chain coordination.

An innovative simulation model of the “steel supply chain” is proposed, which includes information sharing in the simulation model. Furthermore, dynamic scheduling is shown by applying a continuous ordering and order prioritization rule to replace traditional scheduling methods.

The objective of this paper is to compare and evaluate the environmental performance of steel supply chains considering relevant environmental loss factors using Taguchi loss function (TLF) and design of experiments (DOE).

The different environmental loss factors in steel manufacturing supply chain were studied and the significant factors were identified. Their combined contributions along the significant factors were estimated using TLF and DOEs comparing environment losses at different scenarios.

The proposed methodology using TLF and DOEs was applied to three Indian steel manufacturing companies (Company A, Company B and Company C). The Company A with minimal average environmental loss score is found to be operating its supply chain with higher efficiency and has better environmental performance compared to the other two companies (B and C).

The results obtained are based on the study carried out in three Indian steel manufacturing companies. Therefore, the results cannot be generalized.

This paper will definitely show the direction for comparative environmental performance assessment of manufacturing industries in general and steel industries in specific considering environmental loss factors and environmental conditions. It determines individual performance across each environmental loss factor and their combined impact.

Although there is a need to have comparative performance analysis with respect to environmental losses among steel companies in developing countries such as India, but hardly any study has been reported in this direction. This work will definitely add the value to the supply chain literature in general and environment losses in steel manufacturing supply chain in specific.

To provide new roles of steel mills with desirable business strategies in the supply chain of automotive steel sheets.

The characteristics of the relationship between automakers and steel mills, which aim to provide different patterns according to regional markets, are classified into the customer‐supplier relations in the regions of North America and Japan. Extended roles of steel mills with expected responsibilities are considered in the automotive supply chain, not just raw material suppliers.

Provides new procurement programs of automakers, indicating what can be found there for new paradigm of steel suppliers and how new procurement programs can change. Emphasizes the necessity of developing more updated and functional business models of steel mills in the value chain.

Steel mills have to extend their conventional roles to downstream processing in the automotive steel supply chain, in order to maintain cooperative and interdependent relations with OEMs.

This paper fulfils extended roles of automotive steel suppliers in supply chain management and offers collaborative partnerships to steel mills and automakers.

Aims to conduct an exploratory study on the organisational implications of strategic alignment within the steel stockholder supply chain by analysing the responses of a case study organisation. Increasingly fragmented and volatile markets result in pressure on organisations to strategically align all aspects of their supply chain to ensure rapid and appropriate responsiveness. There is a paucity of research in this area in the steel stockholder supply chain. A strategic alignment model was selected which incorporated alignment from four key aspects, namely markets, strategy, culture and leadership style. The model is used as an analysis framework for a case study in the steel stockholder supply chain. Data collection included a survey of a stratified sample of customers, company archive and organisational material and semi‐structured interviews. The implications for the supply chain and the organisation’s response are discussed and evaluated.

The demand amplification effect has been well described in the literature over many years. This paper reports the results of a research project carried out in the UK automotive component supply chain, which set out to eliminate the effect in practice. The paper describes the progression from the identification of demand amplification, through a practical approach for its measurement, to the development of a methodology to overcome the negative impacts of the effect across three echelons of the supply chain. The results of a six‐month trial implementation are reported.

The purpose of this paper is to develop research frameworks for two types of green supply chains based on Fisher's seminal work. In spite of Fisher's contribution to the literature, his study has rarely been extended into green supply chain contexts, except in a few conceptual arguments. The current study explores how Fisher's perspective of efficient versus responsive supply chains can be a stepping stone to the development of two green supply chains: eco‐efficient and eco‐responsive supply chains.

Toward the above end, a case methodology is employed (Yin). Two Korean global companies, Pohang Iron and Steel Company (POSCO) and Samsung Electronics (SEC), are selected to explore eco‐efficient and eco‐responsive supply chains. POSCO (steel products) is selected to enable the understanding of how efficient and eco‐efficient supply chains work. SEC (mobile phone products) is chosen to understand responsive and eco‐responsive supply chains.

The findings suggest that POSCO tends to stress process technology innovation as a means to address green pressures, while SEC accentuates the green product strategy; while an eco‐efficient supply chain focuses on keeping to an environmental standard across the supply chains, an eco‐responsive supply chain centers on the collaboration of suppliers and distributors in greening the supply chain; and SEC takes more initiatives to educate and encourage consumers to engage in recycling activities than POSCO does.

Few studies have examined the green supply chain using the perspective of Fisher's framework (efficient vs responsive supply chains). By addressing the timely topic, this study fills a research gap in green supply chain literature.

The purpose of this paper is to quantify, evaluate and compare the environmental sustainability performance of supply chain for Indian steel industry using graph theoretic approach (GTA).

Broadly 12 environmental sustainability enablers (ESEs) were identified and they were classified into four significant categories (SCs). Featuring these SCs and ESEs under each SC, a methodology was proposed using GTA for evaluating the environmental sustainability performance of Indian steel companies. The analysis was further extended to compare the results with performance in different situations and accordingly set the future targets.

In order to demonstrate the utility of the proposed methodology, it was applied to an Indian steel company. The results obtained indicated that there have been significant growths achieved in the environmental sustainability performance over a period of five years. It was also found that a performance gap exists and it will reach the target value after two years.

The proposed approach is aimed at providing a procedure for evaluating the environmental sustainability performance. This study is an attempt to assist a steel industry to assess its sustainability program and accordingly define its course of actions.

Although many issues related to environmental sustainability have been widely recognized and studied, there are no specific studies available in the literature to assess the environmental sustainability performance along the timeline. The proposed model has the ability to capture the performance and interdependencies of SCs, ESEs under each SC and also to quantify the environmental sustainability performance along the timeline.

Nowadays, green supply chain (SC) management acts as an important strategic issue for the manufacturers. The effective SC design requires the development of analytical models and design tools. Because of the key role of steel in the infrastructure of industries, this metal is called the development metal. Despite the importance of this industry and its economic and environmental impacts through its SC, the SC structure of this industry has been less studied at the macro level. Therefore, the purpose of this paper is twofold: first, to design the structure of a steel industry SC at three levels; and second, to find the most effective and efficient carbon dioxide emitted industry among the supplier industries of the steel industry SC in China as a case study.

In this paper, due to the relationships among different industries, DEMATEL as a multi-criteria decision-making method has been applied.

A SC structure for the steel industry has been designed at three levels. The results indicated that the industries that had the highest relationship with the steel industry are mine industry, electricity, water, and gas industry, and optical and electrical equipment industry, which were recognized as the first-level suppliers for the steel industry. On the other hand, considering the relationship among the embodied carbon dioxide emissions of various industries in China as a case study, it can be said that among the steel suppliers, the most important polluting industries, respectively, are mining industry, electricity, water, and gas industry, optical and electrical equipment industry, machinery industry, chemicals and chemical products industry and coke, refined petroleum and nuclear fuel industry.

The developed SC can help in providing the steel industries’ managers a basic model for their supplier selection problem at the macro level. This paper can also help the industrial managers to understand the causal relationships among the suppliers of their industries. Finally, this paper can help government and industries managers to discover the most polluted industrial suppliers in the steel industry.

The novelty of this study belongs to the usage of DEMATEL method based on the input-output table to discover the relationships among the industries as well as identifying the main raw material suppliers of the steel industry at three levels. Furthermore, this research discovers the relationships among the embedded carbon dioxide emission of various industries in steel SC to determine the most important polluting industries in steel SC.

The paper aims to develop a benchmarking framework to address issues such as supply chain complexity and visibility, geographical differences and non-standardized data, ensuring that the entire supply chain environmental impact (in terms of carbon) and resource use for all tiers, including domestic and import flows, are evaluated. Benchmarking has become an important issue in supply chain management practice. However, challenges such as supply chain complexity and visibility, geographical differences and non-standardized data have limited the development of approaches for evaluating performances of product supply chains. This industry-level benchmarking approach ensures that individual firms can compare their carbon emissions against other similarly structured firms.

Benchmarking has become an important issue in supply chain management practice. However, challenges such as supply chain complexity and visibility, geographical differences and non-standardized data have limited the development of approaches for evaluating performances of product supply chains. The paper aims to develop a benchmarking framework to address these issues, ensuring that the entire supply chain environmental impact (in terms of carbon) and resource use for all tiers, including domestic and import flows, are evaluated. This industry-level benchmarking approach ensures that individual firms can compare their carbon emissions against other similarly structured firms.

Supply chain carbon maps are developed as a means of producing industry-level benchmarks to set a measure for the environmental sustainability of product supply chains. The industry-level benchmark provides the first step for firms to manage the environmental performance, identify and target high carbon emission hot-spots and for cross-sectorial benchmarking.

The paper links the theoretical development of supply chain environmental system based on the Multi-Regional Input–Output model to the innovative development of supply chain carbon maps, such that an industry-level benchmarking framework is produced as a means of setting product supply chain carbon emissions benchmarks.