Biomass for energy: A review on supply chain management models
LJR Nunes, TP Causer, D Ciolkosz - Renewable and Sustainable Energy …, 2020 - Elsevier
The present study reviews the status of research on biomass supply chain modeling.
Biomass has become increasingly important as a renewable alternative energy source. One …
Biomass has become increasingly important as a renewable alternative energy source. One …
A sustainable flexible manufacturing–remanufacturing model with improved service and green investment under variable demand
B Sarkar, S Bhuniya - Expert Systems with Applications, 2022 - Elsevier
Environmental protection and the availability of natural resources help to maintain
sustainability for manufacturing system. Reusing/remanufacturing economically viable used …
sustainability for manufacturing system. Reusing/remanufacturing economically viable used …
Involvement of controllable lead time and variable demand for a smart manufacturing system under a supply chain management
The concept of controllable lead time and variance is critical issues for the smart supply
chain management. This study concerns about variable lead time and variance under …
chain management. This study concerns about variable lead time and variance under …
A sustainable smart multi-type biofuel manufacturing with the optimum energy utilization under flexible production
Biofuel manufacturing from renewable biomass through a smart manufacturing system is an
important alternative to fossil fuels, which helps to decrease dependability on conventional …
important alternative to fossil fuels, which helps to decrease dependability on conventional …
[HTML][HTML] A supply chain model with service level constraints and strategies under uncertainty
In the current socio-economic situation, the daily demand for essential goods in the business
sector is always changing owing to various unavoidable reasons. As a result, choosing the …
sector is always changing owing to various unavoidable reasons. As a result, choosing the …
Technology license sharing strategy for remanufacturing industries under a closed-loop supply chain management bonding
AK Mondal, S Pareek, K Chaudhuri, A Bera… - RAIRO-Operations …, 2022 - rairo-ro.org
Remanufacturing is getting attention nowadays due to increasing waste and corresponding
emissions. One of the important factors of remanufacturing is the quality of the …
emissions. One of the important factors of remanufacturing is the quality of the …
A Decade for the Mathematics: Bibliometric Analysis of Mathematical Modeling in Economics, Ecology, and Environment
MA Petcu, L Ionescu-Feleaga, BȘ Ionescu, DF Moise - Mathematics, 2023 - mdpi.com
Our study commemorates this event by presenting a retrospective of the publications related
to the use of mathematical tools for the analysis of economic, ecological, and environmental …
to the use of mathematical tools for the analysis of economic, ecological, and environmental …
A sustainable online-to-offline (O2O) retailing strategy for a supply chain management under controllable lead time and variable demand
Every industry always tries to provide the best service to its consumers. To provide better
service to the consumer and optimize profit, a sustainable online-to-offline retailing strategy …
service to the consumer and optimize profit, a sustainable online-to-offline retailing strategy …
A smart production process for the optimum energy consumption with maintenance policy under a supply chain management
In the current socio-economic situation, smart products are essential for daily life. Energy is a
very much related matter to smart products. To buy a smart product, people mostly care …
very much related matter to smart products. To buy a smart product, people mostly care …
Diving deep into short-term electricity load forecasting: comparative analysis and a novel framework
In this article, we present an in-depth comparative analysis of the conventional and
sequential learning algorithms for electricity load forecasting and optimally select the most …
sequential learning algorithms for electricity load forecasting and optimally select the most …