 Optimisation on multi-period raw material procurement and product mixing under uncertain demand via probabilistic multi-objective model approachS. Sutrisno, S. Solikhin and Purnawan Adi Wicaksono International Journal of Procurement Management, 2021, vol. 14, issue 2, 147-164 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. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpman:v:14:y:2021:i:2:p:147-164 Access Statistics for this article More articles in International Journal of Procurement Management from Inderscience Enterprises Ltd |
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