Using machine learning in ERP enables the organization to store, manage, and analyze
their data to get the right decisions and gain valuable insights that were previously …

Sensitivity analysis and multiparametric programming in optimization modeling study
variations of optimal value and solutions in the presence of uncertain input parameters. In …

Aim of study: This work aims to provide an overview of Model Predictive Controllers (MPC)
applications in supply chains, to describe the forest-based supply chain and to analyse the …

Jatropha seed yield prediction is one of the most important factors for developing a supply
chain modeling of Jatropha seed. The seeds of Jatropha curcas are generally used for the …

Bullwhip (or whiplash) effect is an observed phenomenon in forecast driven distribution
channel and careful management of these effects is of great importance to managers of …

In this paper we introduce novel results for the performance of the surplus-based
decentralised production control method. The main objective of this production method is to …

The importance of supply chain management in manufacturing sector of any economy
cannot be over-emphasised. Supply chain is the integration of the decisions of demand …

In the modern market, keeping high competition in brands and varieties in type of products is
the way for survival of manufacturing industries. Therefore production control methods with …

Aim of study: This work aims to provide an overview of Model Predictive Controllers (MPC)
applications in supply chains, to describe the forest-based supply chain and to analyse the …

Inventories, facilities and transportation are considered to be the important tools of supply
chain management. The efficiency of any manufacturing unit can be increased if the above …