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Inventory control for a perishable product with non-stationary demand and service level constraints

Karin G.J. Pauls-Worm (karin.pauls***at***wur.nl)
Eligius M.T. Hendrix (eligius.hendrix***at***wur.nl)
Rene Haijema (rene.haijema***at***wur.nl)
Jack G.A.J. van der Vorst (Jack.vanderVorst***at***wur.nl)

Abstract: We study the practical production planning problem of a food producer facing a non-stationary erratic demand for a perishable product with a fixed life time. In meeting the uncertain demand, the food producer uses a FIFO issuing policy. The food producer aims at meeting a certain service level at lowest cost. Every production run a set-up cost is incurred. Moreover, the producer has to deal with unit production cost, unit holding cost and unit cost of waste. The production plan for a finite time horizon specifies in which periods to produce and how much. We formulate this single item – single echelon production planning problem as a stochastic programming model with a chance constraint. We show that an approximate solution can be provided by a MILP model. The generated plan simultaneously specifies the periods to produce and the corresponding order-up-to levels. The order-up-to level for each period is corrected for the expected waste by explicitly considering for every period the expected age-distribution of the products in stock. The model assumes zero lead time and backlogging of shortages. The viability of the approach is illustrated by numerical experiments. Simulation shows that in 95.8% of the periods the service level requirements are met with an error tolerance of 1%.

Keywords: Inventory control, Perishable product; Non-stationary stochastic demand, Service-level constraint, Periodic review

Category 1: Applications -- OR and Management Sciences

Category 2: Applications -- OR and Management Sciences (Production and Logistics )

Category 3: Applications -- OR and Management Sciences (Supply Chain Management )

Citation: Working paper, Group Operations Research and Logistics, Wageningen University

Download: [PDF]

Entry Submitted: 08/26/2013
Entry Accepted: 08/27/2013
Entry Last Modified: 08/29/2013

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