Lotsize optimization leading to a $p$-median problem with cardinalities
Constantin Gaul, Sascha Kurz, and Joerg Rambau

TL;DR
The paper introduces a formalized model for lot-size optimization in fashion retail, connecting it to classical problems like p-median, and provides an ILP formulation and heuristic solutions.
Contribution
It presents a new model for lot-size optimization based on practical industry cooperation, linking it to well-known optimization problems.
Findings
Developed an integer linear programming formulation.
Proposed a primal heuristic for the problem.
Related the problem to classical optimization problems like p-median.
Abstract
We consider the problem of approximating the branch and size dependent demand of a fashion discounter with many branches by a distributing process being based on the branch delivery restricted to integral multiples of lots from a small set of available lot-types. We propose a formalized model which arises from a practical cooperation with an industry partner. Besides an integer linear programming formulation and a primal heuristic for this problem we also consider a more abstract version which we relate to several other classical optimization problems like the p-median problem, the facility location problem or the matching problem.
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Taxonomy
TopicsFacility Location and Emergency Management · Advanced Manufacturing and Logistics Optimization · Urban and Freight Transport Logistics
