Published date: Mar 10 2020

Journal Title: KnE Life Sciences

Issue title: The 2018 International Conference on Logistics and Business Innovation (ICLBI)

Pages: 110–118

DOI: 10.18502/kls.v5i3.6565

I Gede Agus Widyadanagede@petra.ac.idIndustrial Engineering Department, Universitas Kristen Petra, Jl. Siwalankerto no.121-131, Surabaya 60236, Jawa Timur, Indonesia

Kun Jeng WangIndustrial Management Department, National Taiwan University of Science and Technology, Da’an District, Taipei 106, Taiwan

Nyoman SutapaIndustrial Engineering Department, Universitas Kristen Petra, Jl. Siwalankerto no.121-131, Surabaya 60236, Jawa Timur, Indonesia

Today many retailers face high competition, therefore they have to operate in an efficient way. One aspect of efficiency is inventory. Many research on inventory is conducted intensively to get more realistic inventory model. In this paper, an inventory model was developed by considering pricing. Many retailers try to increase their profit by setting the best price for a single item, especially for some items that have high price-dependent demand. The customer demand depends on the price such household items. In the other side, some retailers face supply problems. Supplier often cannot supply products when the products needed on time. There is delay time between customer demand and products arrive at retailer warehouse. The retailer should determine the optimal price and replenishment time. There are some assumptions are used for the model. The first assumption, the demand is known and has constant elasticity. Second, there is stochastic replenishment period and demand that are not filled are lost sales. The model is developed mathematically and a numerical example is conducted to show how the model works. A sensitivity analysis is accomplished to get some management insight and some interesting result are derived.

Keywords: deteriorating inventory model; genetic algorithm; stochastic time

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