TY - JOUR A1 - Janssen, Larissa A1 - Diabat, Ali A1 - Sauer, Jürgen A1 - Herrmann, Frank T1 - A stochastic micro-periodic age-based inventory replenishment policy for perishable goods JF - Transportation Research Part E: Logistics and Transportation N2 - In this paper, we propose a micro-periodic inventory replenishment policy for quickly perishable goods with fixed and known lifetime of items, deterministic lead time, fixed given order cycle, mixed issuing policies (FIFO and LIFO), age-based stock, imperfect items and target customer service level under random demand. The inventory policy is based on time of day (morning, midday, afternoon or evening). The results of our simulation study show that the proposed micro-periodic inventory policy leads to waste reduction of 66% as well as a partial decrease in cost compared to inventory policy with planning on a daily basis. KW - Frischware KW - Bestandsmanagement KW - Bestellmengenplanung KW - Stochastisches Modell KW - Inventory KW - Micro-periodic KW - Perishable goods KW - Stochastic demand KW - Waste reduction KW - Simulation study KW - Simulation Y1 - 2018 U6 - https://doi.org/10.1016/j.tre.2018.08.009 VL - 118 IS - October SP - 445 EP - 465 PB - Elsevier ER - TY - CHAP A1 - Janssen, Larissa A1 - Herrmann, Frank A1 - Claus, Thorsten T1 - Beitrag zur Abfallreduktion mittels mathematischer Optimierung und simulationsbasierter Validierung BT - A contribution to the waste reduction by mathematical optimisation and simulation-based validation T2 - Proceedings of the 16th International Conference on Simulation in Production and Logistics, September 23 - 25, 2015, Dortmund, Germany N2 - Perishable goods with a shelf life of 3-5 days require frequent inventory controls in the food retail trade. Maintaining a high service level for these products in stores is difficult due to demand uncertainty. A high service level often leads to a lot of stock in stores. In case it is not sold, it is waste. As an approach towards waste volume reduction, the economic order quantity (EOQ) problem is optimised in combination with the delivery frequency problem on the basis of the microperiods, i.e. morning, midday, afternoon, and evening. The presented model is designed for multiple stores with one regional warehouse. The simulation model measures the waste volume in stores. Experiments show that the combined optimisation of both problems leads to a reduction of total costs and waste volume. KW - Bestandsmanagement KW - Bestellmengenplanung KW - Optimierung KW - Frischware Y1 - 2015 UR - http://www.asim-fachtagung-spl.de/asim2015/papers/Proof_127_Janssen-V2.pdf ER -