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Management Science
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A Transportation Type Aggregate Production Model with Backordering

A transportation type aggregate production model with backordering
Authors: Marc E. Posner; Wlodzimierz Szwarc;

A Transportation Type Aggregate Production Model with Backordering

Abstract

In this paper we consider a certain aggregate production planning model. This model permits regular and overtime production and allows for backordering of goods for a number of periods. Although the discussed model can be formulated as a linear programming problem a special (noniterative) method is developed. First the optimal level of each mode of production is determined for each period. Then the complete solution is immediately constructed. This procedure is so simple that it can be also implemented via pencil and paper. Several computational improvements as well as problem variations are discussed.

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Keywords

transportation type inventory model, noniterative greedy-like algorithm, production scheduling, deterministic models, production/scheduling, programming: linear, algorithms [inventory/production], Inventory, storage, reservoirs, backordering, aggregate production planning model, Applications of mathematical programming, Numerical mathematical programming methods, inventory control, Production models

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Average
Top 10%
Average
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