Supply management in assembly systems

Abstract

We consider the case when n components are needed to assemble a given product. Components are provided by suppliers, and the period between the order time and the time a component is available (i.e., the lead time) is a random variable with a known distribution. The due date for the assembled product is also known. The costs to be taken into account are the inventory costs of the components and the backlogging cost of the assembled product. We propose an iterative algorithm which leads to the optimal order instants of the components. © 1993 John Wiley & Sons, Inc.

A State of the Art on Supply Planning and Inventory Control under Lead Time Uncertainty

“…Another interesting single-period model of this type was developed in (Chu et al, 1993 (Proth et al, 1997), the components to be ordered and the products to be assembled are selected on the basis of a priority heuristic.…”

“…Louly and Dolgui (2002) studied the same type of assembly systems as in (Chu et al, 1993) providing some generalizations. Their model is a multi-period model with random lead times and integer decision variables.…”

Parameterization of MRP for Supply Planning Under Lead Time Uncertainties

“…Another interesting single period model was proposed in (Chu et al, 1993) which deals with a punctual fixed demand for a single finished product. The model gives optimal values of the component planned lead times for such a one-level assembly system with random component procurement times.…”

Managing components for assemble‐to‐order products with lead‐time‐dependent pricing: The full‐shipment model

“…Most relevant to our model in this paper are a number of research papers studying the optimal component stocking policies for single-order assembly systems, including Refs. [2,3,5,6,8,10,11,13,14]. We refer to Ref.…”