Efficient Strategy to Enhance the Photocatalytic Activity of Ir-doped SrTiO3 : A Hybrid DFT Approach

Photocatalytic water splitting using sunlight is one of the most promising approaches to produce hydrogen, for which an increasing focus has been directed towards band gap engineering of the existing...

RhIII-catalyzed heteroarylation of N-2,6-difluorophenyl arylamides with heteroaryl boronate esters

Herein, an efficient strategy to aryl-heteroaryl formation via RhIII-catalyzed ortho-C(sp2)−H heteroarylation of (hetero)arenes with heterocyclic boronates using a readily removable N-2,6-difluorophenyl arylamides directing group has been disclosed. A variety of...

Atomic-level Coupled Spinel@perovskite Dual-phase Oxides toward Enhanced Performance in Zn-air Batteries

Interface engineering has been proved to be an efficient strategy for boosting electrocatalytic performance and has attracted increasing interest in past few decades. Herein, Co3O4@LaCoO3 heterojunctions with abundant oxygen vacancies,...

Dopant Mediated Surface Charge Imbalance in Enhancing Performance of Metal Oxide Chemiresistive Gas Sensors

Chemically pristine and untailored metal oxide based gas sensors usually suffer the brunt of poor sensitivity and selectivity. Doping with suitable element has been an efficient strategy to encounter above...

Conjugate and non-conjugate controls of sensitizer to enhance dye-sensitized upconversion luminescence

Although dye sensitization is an efficient strategy to improve upconversion luminescence of lanthanide-doped upconversion nanoparticles (UCNPs), the sensitization effect is limited due to the high probability of dyes aggregation. To...

A Developed Data Envelopment Analysis Model for Efficient Sustainable Supply Chain Network Design

In recent years, various organizations have focused on considering the sustainability concept in the supply chain (SC) design. Managers try to increase the sustainability of SCs to achieve a competitive advantage in today’s growing market. Designing a sustainable supply chain (SSC) by integrating economic, social, and environmental dimensions affects the SC’s overall performance. To achieve the SSC, decision makers (DMs) are required to evaluate different strategies and then apply the most effective one to design SC networks. This study proposes an assessment approach based on the network data envelopment analysis (DEA) to choose an efficient strategy for each stage of an SSC network. This approach seeks to provide a sustainable design with DMs to avoid imposing additional costs on SCs that result from noncompliance with environmental and social issues. To this end, we consider sustainability-concept-related inputs and outputs in the network DEA model to choose the most efficient strategy for SSC design. The strategy selection process can become an important issue, especially when SCs active in a competitive environment. Accordingly, a crucial feature of the presented model is considering the issue of competition to choose the efficient strategy. Furthermore, undesirable outputs and feedbacks and independent inputs and outputs for intermediate stages in the network system are considered to create a structure compatible with the real world. The output of the proposed approach enables DMs to select the appropriate strategy for each stage of the SSC network to maximize the aggregate efficiency of the network.