In this paper, we develop a simple algorithm for obtaining the global solution to a small scale fixed-charge transportation problem (FCTP). The procedure itself is very quick. The proposed method solves FCTP by decomposing the problem into series of smaller sub-problems, which is novel and can...

The goal of this interdisciplinary paper is to show that an existing modeling language, Integration Definition for Function Modeling (IDEF0), is applicable for use in strategy modeling and for automation of strategic plan development and implementation. We will show how utilization of the...

In this paper, we consider a multi-index constrained transportation problem (CTP) of axial constraints with bounds on destination requirements, source availabilities, and multiple types of commodities. The specified problem is converted into a related transportation problem by adding a source, a...

In this paper, we consider a multi-index constrained transportation problem (CTP) of axial constraints with bounds on destination requirements, source availabilities, and multiple types of commodities. The specified problem is converted into a related transportation problem by adding a source, a...

In this paper, we develop a simple algorithm for obtaining the global solution to a small scale fixed-charge transportation problem (FCTP). The procedure itself is very quick. The proposed method solves FCTP by decomposing the problem into series of smaller sub-problems, which is novel and can...

The goal of this interdisciplinary paper is to show that an existing modeling language, Integration Definition for Function Modeling (IDEF0), is applicable for use in strategy modeling and for automation of strategic plan development and implementation. We will show how utilization of the...

We construct two operational systems of a perishable firm, the traditional and quick-response systems, selling to strategic consumers with regrets or without regrets over two periods. When strategic consumers buy the product at the full-price period, they may experience high-price regret....