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We present a method for solving the transshipment problem—also known as uncapacitated minimum cost flow—up to a multiplicative error of 1 + in undirected graphs with polynomially bounded integer edge weights using a tailored gradient descent algorithm. An important special case of the transshipment problem is the single-source shortest paths (SSSP) problem. Our gradient descent algorithm takes ...

This paper develops a model for the closed-loop supply chain network design with disruption risk. By considering supply disruption, two factors including extra inventory and lateral transshipment are used as resilience strategies. The main purpose is to reduce the supply chain costs due to the location decisions, quantity of products between different levels and lost sale. Disruption in a suppl...

Shrinkage can lead to inventory record inaccuracy which in turn may negatively affect the performance of supply chain control policies. In this paper the impact of shrinkage on the efficiency of transshipment operations is demonstrated using stochastic simulation. In particular, the value of full inventory visibility which could be achieved using RFID is approximated. This value is shown to be ...

With China's rapid economic development, electricity supply is relatively shortage, and the contradiction of power coal supply and demand is prominent. In this context, using WITNESS logistics software platforms, this paper establishes a simulation model about a power coal ocean shipping logistics system of a transshipment port as the center, focusing on how to make full use of the existing res...

We consider coordination among stocking locations through replenishment strategies that explicitly take into account lateral transshipments, i.e., transfer of a product among locations at the same echelon level. Our basic contribution is the incorporation of supply capacity into the traditional transshipment model. Our goal is to analyze the impact on system behavior and on stocking locations’ ...

A transshipment problem with demands that exceed network capacity can be solved by sending ow in several waves. How can this be done in the minimum number of waves? This is the question tackled in the quickest transshipment problem. Hoppe and Tardos 10] describe the only known polynomial time algorithm to solve this problem. Their algorithm repeatedly minimizes submodular functions using the el...

A new method namely, splitting method is proposed for finding an optimal solution to a transshipment problem in which all parameters are real intervals. With the help of a numerical example, the proposed method is illustrated. The splitting method is extended to fully fuzzy transshipment problems. Mathematical Subject Classification: 03E72

In this paper, we address the optimal joint control of inventory and transshipment for a firm that produces in two locations and faces capacity uncertainty. Capacity uncertainty (e.g., due to downtime, quality problems, yield, etc.) is a common feature of many production systems but its effects have not been explored in the context of a firm that has multiple production facilities. We first cha...

Companies commonly allocate their inventories across multiple locations based on their historical sales rates. However, random fluctuations in customer purchases, such as those caused by weather conditions and other external factors, might cause significant deviations from expected demand, leading to excess stock in some locations and stockouts in others. To fix this mismatch, companies often t...