Application of econometric principles and techniques (VAR-MGARCH) to risk analytics and forecasting in operations management, healthcare, security and other verticals.Forecasting is an underestimated field of research in supply chain management. Recently advanced methods are coming into use. Initial results are encouraging, but often require changes in policies for collaboration and transparency. In this paper we explore advanced forecasting tools for decision support in supply chain scenarios and provide preliminary simulation results from their impact on demand amplification. It appears that advanced methods may be useful to predict oscillated demand but their performance is constrained by current structural and operating policies. Improv...
Forecasting is a necessity almost in any operation. However, the tools of forecasting are still prim...
Forecasting demand at the individual stock-keeping-unit (SKU) level often necessitates the use of st...
Organisations have devoted a great deal of energy to improving supply chain performance by reducing ...
The tools of forecasting (software) in general business use are still primitive in view of the strid...
This is a proposal to create a simulation tool that can explore advanced tools and techniques from e...
Forecasting is a necessity almost in any operation. However, the tools of forecasting (software) in ...
Effective supply chain management gains much attention from industry and academia because it helps f...
Nowadays, the global supply chain system needs to respond promptly to changes in customer demand and...
Making sense of data may benefit from high volume data acquisition and analysis using GARCH and VAR-...
Making sense of data may benefit from high volume data acquisition and analysis using GARCH and VAR-...
In the context of stochastic uncertainty and the increasing complexity of logistics processes in the...
Introduction to special issue: This issue of the Journal of the Operational Research Society is dedi...
Managing risk in the supply of inbound parts for the assembly of complex engineering systems is a ke...
Abstract— The decision-making process for supply chain management is complex and involves multiple p...
Purpose: To evaluate the impact of forecasting on supply chain via a system dynamics perspective. M...
Forecasting is a necessity almost in any operation. However, the tools of forecasting are still prim...
Forecasting demand at the individual stock-keeping-unit (SKU) level often necessitates the use of st...
Organisations have devoted a great deal of energy to improving supply chain performance by reducing ...
The tools of forecasting (software) in general business use are still primitive in view of the strid...
This is a proposal to create a simulation tool that can explore advanced tools and techniques from e...
Forecasting is a necessity almost in any operation. However, the tools of forecasting (software) in ...
Effective supply chain management gains much attention from industry and academia because it helps f...
Nowadays, the global supply chain system needs to respond promptly to changes in customer demand and...
Making sense of data may benefit from high volume data acquisition and analysis using GARCH and VAR-...
Making sense of data may benefit from high volume data acquisition and analysis using GARCH and VAR-...
In the context of stochastic uncertainty and the increasing complexity of logistics processes in the...
Introduction to special issue: This issue of the Journal of the Operational Research Society is dedi...
Managing risk in the supply of inbound parts for the assembly of complex engineering systems is a ke...
Abstract— The decision-making process for supply chain management is complex and involves multiple p...
Purpose: To evaluate the impact of forecasting on supply chain via a system dynamics perspective. M...
Forecasting is a necessity almost in any operation. However, the tools of forecasting are still prim...
Forecasting demand at the individual stock-keeping-unit (SKU) level often necessitates the use of st...
Organisations have devoted a great deal of energy to improving supply chain performance by reducing ...