Four equivalent lot-sizing models

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Abstract

We study the following lot-sizing models that recently appeared in the literature: a lot-sizing model with a remanufacturing option, a lot-sizing model with production time windows, and a lot-sizing model with cumulative capacities. We show the equivalence of these models with a classical model: the lot-sizing model with inventory bounds.

Introduction

Recently, a number of new lot-sizing models appeared in the literature. In turns out that the models are equivalent to a classical lot-sizing model, the lot-sizing model with bounded inventory (LSB). The three models that turn out to be equivalent with the LSB model are:

  • 1.

    the lot-sizing model with a remanufacturing option,

  • 2.

    the lot-sizing model with production time windows,

  • 3.

    the lot-sizing model with cumulative capacities.

In this paper we will show the equivalence between the models by reformulating them in a specific form.

The remainder of the paper is organized as follows. In Section 2 we will describe the LSB model, give a mathematical formulation and reformulate this model in the specific form. In Section 3 we will consider the recent models in the order of publication date and discuss the equivalence with the LSB model. In Section 4 we provide an overview of the complexity results for the different models.

Section snippets

Lot-sizing with bounded inventory

The lot-sizing model with bounded inventory (LSB) can be described as follows (see [5]). Given a finite and discrete time horizon and a deterministic (known) demand in each time period, find the production plan that satisfies the demand and minimizes total cost. The costs include fixed setup cost for each period with positive production, unit production cost for each item produced, and unit holding cost for each item held in stock. So far the problem is equivalent to the classical lot-sizing

Three models equivalent to the LSB model

In the remainder of the paper we will show that the three other lot-sizing models can be formulated as [LSB] and have bounds (L,U) satisfying Property 1, which implies that they are equivalent to the LSB model. In fact, Property 1 is used by [9] to show the equivalence between the lot-sizing model with a remanufacturing option and the LSB model and by [12] to show the equivalence between the lot-sizing model with production time windows and the LSB model.

Complexity results

In this section we summarize some complexity results for the ‘different’ problems. As already mentioned, [5] developed an O(T3) time algorithm for the LSB model with concave cost functions. Recently, Liu [4] considered the LSB model with lot-sizing cost and, using a similar approach to [10], developed an O(T2) time algorithm for general cost parameters and an O(T) algorithm for the case of non-speculative motives (also called Wagner–Whitin cost), i.e., ctct+1 for t=1,,T1 in model [LSB].

References (12)

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