Title: Optimisation on multi-period raw material procurement and product mixing under uncertain demand via probabilistic multi-objective model approach

Authors: S. Sutrisno; S. Solikhin; Purnawan Adi Wicaksono

Addresses: Department of Mathematics, Diponegoro University, Jalan Prof. Soedarto, SH, Tembalang, Semarang, Indonesia ' Department of Mathematics, Diponegoro University, Jalan Prof. Soedarto, SH, Tembalang, Semarang, Indonesia ' Department of Industrial Engineering, Diponegoro University, Jalan Prof. Soedarto, SH, Tembalang, Semarang, Indonesia

Abstract: Raw material procurement and product mixing planning are two important components in manufacturer industries, based on the fact that they contribute significantly to production cost and profit. This article describes a newly developed mathematical model in the form of multi-objective optimisation, as an alternative approach that is possibly used to improve a multi-period raw material procurement and product mixing plan under uncertain demands. This process is initiated by the formulation of two objective functions, including the amount of the output to be produced, which ought to be maximised, and the minimisation of raw material procurement cost. Subsequently, a weighted objective function was formulated for use in the calculation of Pareto solution, and the optimisation problem was resolved to obtain ideal values for all decision variables. In addition, numerical experiments were also performed, in the model evaluation, resulting in the peak value for each decision variable.

Keywords: raw material procurement; product mixing; bi-objective optimisation; Pareto optimal.

DOI: 10.1504/IJPM.2020.10028933

International Journal of Procurement Management, 2021 Vol.14 No.2, pp.147 - 164

Received: 05 Sep 2019
Accepted: 08 Nov 2019

Published online: 08 Mar 2021 *

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