The petroleum industry plays a vital role in the economies of developing countries. Refinery wastewater pollution has increased in recent years due to the increase in the industrial and urban use of petroleum products. The present work demonstrates how textile waste can be modified into a material that can effectively remove sulfur pollutants from refinery wastewater. An economic activated carbon (AC) material was developed by using cotton spinning waste from a textile company. The chemical activation was carried out using nitric acid (HNO₃), hydrogen peroxide (H₂O₂), and potassium hydroxide (KOH). The characterization of the obtained activated carbons was performed using the SEM, BET, and FTIR techniques. The effect of the experimental adsorption condition was investigated using both bed and batch isotherms. The results show that effluent flow has the highest effect on sulfur compound adsorption. The greatest adsorption capacity of the sulfur compounds was found to be around 168.4 mg·g⁻¹. The equilibrium data were investigated using the Freundlich, Langmuir, Dubinin–Radushkevich, Tóth, and Sips isotherm models. The Langmuir model exhibited the best fit (R² = 0.98) for the sulfur compounds’ adsorption, which implies that their adsorption onto the synthesized AC was homogeneous. The kinetic data were tested with pseudo-first-order, pseudo-second-order, and intraparticular diffusion equations. The pseudo-second-order equation described the kinetic data well (R² = 0.99), indicating that this adsorption may be restricted by the chemisorption process. These properties under optimal conditions make the obtained ACs suitable for use in refinery wastewater treatment.

While examining the potential synergies between green supply chain management (GSCM) and sustainable waste management (SWM), we aim to investigate the relationship between sustainable waste management and green supply chain practices to promote a circular economy as a strategy for achieving sustainability. To address a gap in our understanding, this study will examine how GSCM and SWM relate to one another and their effect on CE deployment’s long-term survival. The research utilized a cross-sectional design with a sample size of 50 respondents from manufacturing firms. The companies were selected using purposive sampling based on varying industry sizes and operations. The findings demonstrate considerable positive correlations among GSCM practices, SWM techniques, and CE adoption, making it evident that comprehensive sustainability methods are required. Stakeholder participation, circular business models, and better governmental frameworks to promote circularity are among the many recommendations. By providing empirical evidence for the connections between GSCM, SWM, and CE, this study contributes to the current body of knowledge. It emphasizes the value of all-encompassing sustainability strategies for reaping financial and environmental benefits.

Nowadays, optimizing supply chain management of fresh Agri-products has become a major challenge for food distributors due to the short shelf-life and perishable nature of these products. The prompt and high-quality distribution of these goods without sacrificing their freshness, however, immediately raises the cost of transportation. Considering these facts, the current study attempts to investigate the function of several characteristics that affect the distribution network’s efficacy. Afterwards, an optimization model is developed to reduce the vehicle travel-times using an energy-efficient wireless vehicular network. This model ensures that all constraints of the delivery process are met under ambient conditions. The primary goal is to minimize the overall delivery cost without causing freshness decay. To achieve this, an enhanced ant colony algorithm (ACA) is tailored for open vehicle routing instead of closed vehicle routing strategies. The validation of the model is done through comparison of Improved Ant Colony Algorithm (IACA) with Ant Colony Algorithm (ACA). Results indicate that the Improved Ant Colony Algorithm (IACA) is significantly cheaper for the delivery of fresh e-commerce products. Additionally, this approach utilizes an energy-efficient wireless vehicular network, which further enhances the sustainability and efficiency of logistics operations.

The consignment stock (CS) policy, independently or coupled with vendor managed inventory (VMI), has been practised by businesses and shown to be profitable. It helps to reduce or eliminate out-of-stock instances caused by fluctuations in demand. CS brings several benefits to collaborating parties. Unlike the two-level supply chain models in the literature, this paper considers a three-level supply chain that consists of a supplier, a vendor and a buyer with CS policy agreements. The paper also examines four coordination scenarios (a combination of traditional and CS) in conjunction with a payment scheme between adjacent parties. Nine coordination cases (models) are provided. A sensitivity analysis is performed to study the effects of some parameters on the performance of the developed models. Most of the results showed that a combination of traditional and CS policies returned a higher total system profit.