Product mix: The approach of throughput per day


Autoria(s): Sobreiro, Vinicius Amorim; Mariano, Enzo Barberio; Nagano, Marcelo Seido
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

03/07/2013

Resumo

Defining product mix is very important for organisations because it determines how productive resources are allocated among various operations. However, it is often defined subjectively. The methods commonly used for this definition are Integer Linear Programming and heuristics based in Theory of Constraints, which use maximum throughput as a performance measure. Although this measure provides maximum throughput to specific problem, it does not consider aspects of time, as days, utilised to make the throughput. Taking this into account, the aim of this paper is to present a throughput per day approach to define product mix, as well as to propose a constructive heuristic to help in this process. The results show that the proposed heuristic obtained satisfactory approximation when compared to the optimum values obtained by enumeration. © 2013 Copyright Taylor and Francis Group, LLC.

Identificador

http://dx.doi.org/10.1080/09537287.2013.798705

Production Planning and Control.

0953-7287

1366-5871

http://hdl.handle.net/11449/75910

10.1080/09537287.2013.798705

WOS:000337631400005

2-s2.0-84879487032

Idioma(s)

eng

Relação

Production Planning and Control

Direitos

closedAccess

Palavras-Chave #integer programming #product mix #Theory of Constraints #throughput per day
Tipo

info:eu-repo/semantics/article