Multi-objective optimization of synergic energy conservation and CO2 emission reduction in China's iron and steel industry under uncertainty
Industrial energy conservation and CO 2 emission reduction (ECCER) management is a
multi-objective optimization problem with multiple uncertainty factors. However, most studies …
multi-objective optimization problem with multiple uncertainty factors. However, most studies …
A systematic review of aggregate production planning literature with an outlook for sustainability and circularity
NS Aydin, EB Tirkolaee - Environment, development and sustainability, 2022 - Springer
Aggregate production planning (APP) is the process of determining production, inventory,
and labor levels to meet demand requirements over a planning window up to 1 year. As an …
and labor levels to meet demand requirements over a planning window up to 1 year. As an …
A bi-level decision-making system to optimize a robust-resilient-sustainable aggregate production planning problem
This study introduces a sustainable-robust aggregate production planning (APP) problem
taking into account workforce productivity, outsourcing option and supplier resilience. In this …
taking into account workforce productivity, outsourcing option and supplier resilience. In this …
Multi-objective aggregate production planning model considering overtime and outsourcing options under fuzzy seasonal demand
This paper investigates a novel fuzzy multi-objective multi-period Aggregate Production
Planning (APP) problem under seasonal demand. As two of the main real-world …
Planning (APP) problem under seasonal demand. As two of the main real-world …
Industrial-environmental management in China's iron and steel industry under multiple objectives and uncertainties
D Huang, CD Dinga, Z Wen, D Razmadze - Journal of Environmental …, 2022 - Elsevier
Industrial-environmental management is a multi-objective optimization problem plagued
with multiple uncertainties. Most studies only optimize few objectives and often neglect these …
with multiple uncertainties. Most studies only optimize few objectives and often neglect these …
Many-objective optimization of energy conservation and emission reduction under uncertainty: A case study in China's cement industry
CD Dinga, Z Wen - Energy, 2022 - Elsevier
Abstract The difficulty of Energy Conservation and Emission Reduction (ECER)
management has increased due to the large number of conflicting objectives and multiple …
management has increased due to the large number of conflicting objectives and multiple …
Aggregate planning method as production quantity planning and control to minimizing cost
Production planning is very important in a production because it is related to the amount of
fluctuating consumer demand in each period. If there is a product shortage will cause …
fluctuating consumer demand in each period. If there is a product shortage will cause …
[HTML][HTML] Aggregate production planning considering organizational learning with case based analysis
EA Attia, A Megahed, A AlArjani, A Elbetar… - Ain Shams Engineering …, 2022 - Elsevier
Responding rapidly to customer needs is one of the main targets of industrial organizations
that want to survive in the current market competition. This objective can be attained through …
that want to survive in the current market competition. This objective can be attained through …
A hybrid biobjective markov chain based optimization model for sustainable aggregate production planning
EB Tirkolaee, NS Aydin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This research addresses the sustainable aggregate production planning problem by
considering the outsourcing option and workforce skill levels as well as taking a Markov …
considering the outsourcing option and workforce skill levels as well as taking a Markov …
A DEA integrated grey factor analysis approach for efficiency evaluation and ranking in uncertain systems
Efficiency evaluation and ranking in manufacturing systems involves complex and multiple
input/output criteria. As a well-established non-statistical method for relative efficiency …
input/output criteria. As a well-established non-statistical method for relative efficiency …