A fuzzy linear programming model for aggregated production planning (APP) in the automotive industry

Ivan  Djordjevic; Dobrila Petrovic; Gordan Stojic

doi:10.1016/j.compind.2019.05.004

A fuzzy linear programming model for aggregated production planning (APP) in the automotive industry

Ivan Djordjevic, Dobrila Petrovic, Gordan Stojic

University of Novi Sad

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26 Citations (Scopus)

263 Downloads (Pure)

Abstract

Various Aggregate Production Planning (APP) models have been proposed in the literature to determine company’s production, inventory and employment levels over a finite time horizon. Majority of them are deterministic with the objective to minimise the relevant cost. Motivated by a real-world automotive supplier, this paper proposes a new fuzzy APP model which considers time required to complete operations in the production and warehouse inventory as the main indicator of the performance. The paper includes uncertainties in relevant parameters including customer demand deviations from expected values and production output, as well as uncertainty in production time, time of safety stock storing in the warehouse and time of preparation for delivery to customers. The uncertain parameters are modelled using fuzzy sets generated using historical data recorded in the supplier or based on experience of a logistics management team. Various experiments are carried out using real-world data collected in the supplier to analyse the impact that uncertainty has on APP. It is demonstrated that the developed fuzzy APP model can shorten the time required to perform the production and warehouse operations and improve the performance of the supplier.

Original language	English
Pages (from-to)	48-63
Number of pages	16
Journal	Computers in Industry
Volume	110
Early online date	24 May 2019
DOIs	https://doi.org/10.1016/j.compind.2019.05.004
Publication status	Published - Sept 2019

Bibliographical note

NOTICE: this is the author’s version of a work that was accepted for publication in Computers in Industry. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Computers in Industry, 110, (2019) DOI: 10.1016/j.compind.2019.05.004

© 2019, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/

Keywords

Aggregate production planning
Fuzzy optimisation
Fuzzy sets
Uncertain customer demand deviation
Uncertain production output

ASJC Scopus subject areas

Computer Science(all)
Engineering(all)

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10.1016/j.compind.2019.05.004

Post-PrintAccepted author manuscript, 932 KBLicence: CC BY-NC-ND

Cite this

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title = "A fuzzy linear programming model for aggregated production planning (APP) in the automotive industry",

abstract = "Various Aggregate Production Planning (APP) models have been proposed in the literature to determine company{\textquoteright}s production, inventory and employment levels over a finite time horizon. Majority of them are deterministic with the objective to minimise the relevant cost. Motivated by a real-world automotive supplier, this paper proposes a new fuzzy APP model which considers time required to complete operations in the production and warehouse inventory as the main indicator of the performance. The paper includes uncertainties in relevant parameters including customer demand deviations from expected values and production output, as well as uncertainty in production time, time of safety stock storing in the warehouse and time of preparation for delivery to customers. The uncertain parameters are modelled using fuzzy sets generated using historical data recorded in the supplier or based on experience of a logistics management team. Various experiments are carried out using real-world data collected in the supplier to analyse the impact that uncertainty has on APP. It is demonstrated that the developed fuzzy APP model can shorten the time required to perform the production and warehouse operations and improve the performance of the supplier.",

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A fuzzy linear programming model for aggregated production planning (APP) in the automotive industry

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

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