A typology and literature review on stochastic multi-echelon inventory models
We develop a typology for multi-echelon inventory management. The typology is used to
classify and review the extensive research of multi-echelon inventory management under …
classify and review the extensive research of multi-echelon inventory management under …
Inventory policies and safety stock optimization for supply chain planning
In this article, traditional supply chain planning models are extended to simultaneously
optimize inventory policies. The inventory policies considered are the (r, Q) and (s, S) …
optimize inventory policies. The inventory policies considered are the (r, Q) and (s, S) …
Improving the performance of planning and controlling raw material inventory in food industry
F Nurprihatin, M Gotami… - International journal of …, 2021 - riejournal.com
This paper discusses the inefficient and inaccurate raw material supply at a food company
which results in a backlog. This means the overstock occurs so that the improvement of …
which results in a backlog. This means the overstock occurs so that the improvement of …
Sustainable construction supply chain management with the spotlight of inventory optimization under uncertainty
Z Mohammadnazari, SF Ghannadpour - Environment, Development and …, 2021 - Springer
In this research, a supply chain network has been designed for inventory management using
not only the project site storage facility but also an ancillary warehouse to keep materials. In …
not only the project site storage facility but also an ancillary warehouse to keep materials. In …
Feedback-based deterministic optimization is a robust approach for supply chain management under demand uncertainty
Optimization-based inventory and supply chain management (SCM) under uncertainty can
provide organizations a significant competitive advantage. Implementing optimization under …
provide organizations a significant competitive advantage. Implementing optimization under …
Firefly algorithm for supply chain optimization
The firefly algorithm is one of the best latest bio-inspired algorithms, which proved its
performance in solving continuous and discrete optimization problems. This paper presents …
performance in solving continuous and discrete optimization problems. This paper presents …
Market-oriented procurement planning leading to a higher service level and cost optimization
S Gallego-García, M García-García - Applied Sciences, 2020 - mdpi.com
Featured Application Optimization of inventory management for managers considering
demand forecasting, procurement strategies, and different product lifecycles. Abstract The …
demand forecasting, procurement strategies, and different product lifecycles. Abstract The …
Tactical supply chain planning under uncertainty with an application in the wind turbines industry
A Megahed, M Goetschalckx - Computers & Operations Research, 2018 - Elsevier
With today's rapidly changing global market place, it is essential to explicitly include
uncertainty in supply chain planning models. In this paper, we develop a two-stage …
uncertainty in supply chain planning models. In this paper, we develop a two-stage …
Output feedback robust distributed model predictive control for parallel systems in process networks with competitive characteristics
S Zhang, D Zhao, SK Spurgeon - Control Engineering Practice, 2021 - Elsevier
The parallel structure is one of the basic system architectures found in process networks.
This paper formulates control strategies for such parallel systems when the states are …
This paper formulates control strategies for such parallel systems when the states are …
A Stochastically Optimized Two-Echelon Supply Chain Model: An Entropy Approach for Operational Risk Assessment
Minimizing a company's operational risk by optimizing the performance of the manufacturing
and distribution supply chain is a complex task that involves multiple elements, each with …
and distribution supply chain is a complex task that involves multiple elements, each with …