| Article ID: | iaor1996702 | 
| Country: | United Kingdom | 
| Volume: | 25 | 
| Start Page Number: | 47 | 
| End Page Number: | 52 | 
| Publication Date: | Apr 1995 | 
| Journal: | International Journal of Physical Distribution & Logistics Management | 
| Authors: | Murtagh B.A., Sims J.W. | 
| Keywords: | programming: integer, programming: transportation, transportation: general | 
This paper describes a procedure for modelling the costs of production and distribution between several production facilities with economies of scale and many customers who are widely dispersed. The problem takes the form of a large transportation problem on which is superimposed a cost minimization problem involving variable production quantities. These costs involve fixed costs for initiating production and variable costs with diminishing returns to scale. It models the problem as a non-linear integer programming problem and then solves it using a recently developed non-linear integer algorithm. It describes two applications in Australia and New Zealand and illustrates how comparison with a mixed-integer linear programming formulation shows a significant improvement.