In this paper, we propose two approximate dynamic programming methods to optimize the distribution operations of a company manufacturing a certain product at multiple production plants and shipping it to different customer locations for sale. We begin by formulating the problem as a dynamic program. Our first approximate dynamic programming method uses a linear approximation of the value functi...

in any supply chain, distribution planning of products is of great importance to managers. with effective and flexible distribution planning, mangers can increase the efficiency of time, place, and delivery utility of whole supply chain. in this paper, inventory routing problem (irp) is applied to distribution planning of perishable products in a supply chain. the studied supply chain is compos...

For the practical use of supply chain management powerful planning tools are needed to support production and logistics decisions at various planning levels. In our paper, we focus on medium-term supply network planning. As a real application, the production of a chemical additive in a multi-site production and distribution network is considered. Supply network planning is an exceedingly comple...

There would be no meaningful development lllltil manpower that involves in the transformation of production facilities into useful goods and services is well trained and planned. Recent advances in mathematical programming methodology have included: development of interior methods, competing with the simplex method, improved simplex codes, vastly improved performance for mixed-integer programmi...

Computing the key rate in quantum distribution (QKD) protocols is a long standing challenge. Analytical methods are limited to handful of with highly symmetric measurement bases. Numerical can handle arbitrary bases, but either use min-entropy, which gives loose lower bound von Neumann entropy, or rely on cumbersome dedicated algorithms. Based recently discovered semidefinite programming (SDP) ...

temperature profile determination in soils under adverse conditions of variable heat capacity and conductivity is a rather hard task. the heat capacity and conductivity are moisture dependent and both vary with the soil density. moisture movement on the other hand is temperature dependent and so the two interact. no single mathematical formulae as yet exists for anticipating the temperature dis...