Rising environmental concerns and globalization of supply chain made their control and management difficult. Blockchain technology, as a distributed digital ledger technology, guarantees security, visibility, traceability, and transparency promises ease for environmental and global supply chain problems. In this research work, blockchain technology and business analytics techniques were critically analyzed in the context of supply chain. Global and local governmental bodies, consumers, and communities are putting pressure to meet sustainability goals, which prompts us to investigate how these technologies can address and aid remanufacturing and recycling practices and sustainability in supply chain. The results illustrate that advanced technologies have a key role in the implementation of remanufacturing and recycling practices. The results also indicate that the remanufacturing and recycling practices substantially improve automobile firm performance. Moreover, the results also indicated that Covid-19 pandemic has positive moderating effect between advanced technology and remanufacturing and recycling practices while having insignificant effect between remanufacturing and recycling practices and automobile firm performance.
The United Nations’ Sustainable Development Goal (SDG) number seven expressly calls for universal access to affordable and sustainable energy. Energy sustainability will require a reduction in energy consumption, including embedded energy consumption in sectoral demand and supply chains. However, few studies have estimated the amount of coal, petroleum, and gas (fossil fuel) embedded in demand-and-supply chains (FFEDS). Furthermore, the inter-and intra-sectoral energy linkages are understudied. This study quantifies China’s FFEDS, the world’s largest energy consumer. According to the findings, the highest levels of coal, natural gas, and petroleum consumption (CNGPC) are embedded in the construction sector’s input demand. “Electricity and steam production and supply” total intermediate exports (internal plus inter-sectoral) stimulated the highest coal consumption. “Crude petroleum products and natural gas products” and “railway freight transport” aggregate supplies induced the highest volume of natural gas and petroleum consumption. Compared to intra-sectoral demand, inter-sectoral demand stimulated significantly larger CNGPCs. In contrast, CNGPC’s inter- and inter-sectoral supplies were nearly identical. Modifying current carbon taxation and credit mechanisms to include energy embedded in demand and supply can help to achieve SDG 7.
Today’s world is changed; the only constant thing is digital technologies galloping and enveloping all walks of life; blockchain is the most pertinent of the available technologies. Due to the high demand for the technology, this research tests blockchain technology (BTT) and its influence on organizational performance (ORP) while incorporating recycling and remanufacturing (RRM), green design (GDN), and green purchasing (GPP) as mediators to ascertain the relation between the two constructs. The data for the research is collected from the Malaysian manufacturing sector. The data was collected from four hundred enterprises, and regression analysis was used for statistical inference through Smart PLS. Significant results are found between BTT and RRM, BTT and GDN, BTT and GPP, RRM and ORP, and GDN and ORP. The study’s result also confirms that no significant value was found between GPP and ORP.
In ecological and environmental sampling the quantification of units is either difficult or overly demanding in terms of the time, money, workload, it requires. For this reason efficient and cost-effective sampling methods need to be devised for data collecting. The most commonly used method for this purpose is the Ranked Set Sampling (RSS). In this paper, a sampling scheme called Improved Paired Ranked Set Sampling (IPRSS) is proposed to estimate the population mean. The performance of the proposed IPRSS is evaluated under perfect and imperfect rankings. A simulation study based on selected hypothetical distributions and a real-life data set showed that IPRSS is more precise than RSS, Paired RSS (PRSS) or Extreme RSS (ERSS).
Metastatic tumors to the heart usually involve right sided chambers. We report a rare case of malignant phyllodes tumor of breast with metastatic involvement of left atrium occurring through direct invasion from mediastinal micro-metastasis and presenting as a left atrial mass causing arrhythmia.
In this chapter we propose a family of estimators to estimate the mean of finite population using quartile functions of auxiliary variable under simple random sampling. The expressions for the Bias and mean square error (MSE) of the competing and proposed family of estimators are derived up to first degree of approximation. The situation beholding which the proposed family of estimators perform better the other competing estimators are obtained. The theoretical results are then examined numerically using five real life population sets.
Abstract:The concept of reverse logistics has gained immense popularity in the recent times. There is no doubt about the fact that reverse logistics in the supply chain management of automobile industry is becoming important. The purpose of this paper remains to introduce the importance of reverse logistics in the domain of supply chain management, largely focusing over the automobile industry. Highlighting the important challenges for reverse logistics in the automobile industry also becomes an important aim of this paper. Reverse logistics is basically a phenomenon which refers to the management of products when they are of no use to the consumers. Using such products with an aim to maximize the economic value for the automobile companies reflects the importance of reverse logistics. The underlying challenges like less willingness to pay, cannibalization, competition, lack of support from retailers, dealers and distributors, and consumers' perception create hurdles for companies for implementing the reverse logistics successfully, are highlighted in this paper.
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