Production scheduling using a multi-objective framework in an automotive company

Konstantinos P. Konstantinidis; Subrata Saha; Izabela Nielsen

doi:10.1016/j.ifacol.2021.08.204

Production scheduling using a multi-objective framework in an automotive company

Konstantinos P. Konstantinidis, Subrata Saha, Izabela Nielsen^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article in Journal › Research › peer-review

2 Citations (Scopus)

39 Downloads (Pure)

Abstract

The increased demand for highly customized products and the need for shortening lead times for competitive advantage has also affected the automotive industry. Companies that handle markets in a multi-faced network of demand, like Europe, need to be flexible, responsive, and follow a customer-focused policy. Therefore, there is an increased need for automated solutions not only in product design but also in the manufacturing section. Such solutions need to replace manual effort increasing efficiency and creating new horizons of innovation and development. In this paper, a mathematical model based on Goal Programming modeling has been introduced as a part of a more flexible and automated perspective for production scheduling. The model is applied to a production scheduling process of an automotive company headquartered in Germany to handle a multi-objective problem that manual effort cannot. The paper will explain how demand management, lead time shortening, and process efficiency can be solved through a mathematical model properly modified to its cause.

Original language	English
Book series	IFAC-PapersOnLine
Volume	54
Issue number	1
Pages (from-to)	1087-1091
Number of pages	5
ISSN	2405-8963
DOIs	https://doi.org/10.1016/j.ifacol.2021.08.204
Publication status	Published - 2021
Event	17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021 - Budapest, Hungary Duration: 7 Jun 2021 → 9 Jun 2021

Conference

Conference	17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021
Country/Territory	Hungary
City	Budapest
Period	07/06/2021 → 09/06/2021

Bibliographical note

Funding Information:
This is a part of semester project conducted by Konstantinos Panagiotis Konstantinidis (MSc Management Engineering with specialization in Operations and Supply Chain Management, Aalborg University) titled: Data Centralization and Decision Making Automation.

Publisher Copyright:
© 2021 The Authors. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0)

Keywords

Automotive industry
Demand management
Goal programming
Mathematical modelling of decision making support systems
Production scheduling

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10.1016/j.ifacol.2021.08.204Licence: CC BY-NC-ND 4.0

1-s2.0-S2405896321009757-mainFinal published version, 497 KBLicence: CC BY-NC-ND 4.0

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Cite this

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abstract = "The increased demand for highly customized products and the need for shortening lead times for competitive advantage has also affected the automotive industry. Companies that handle markets in a multi-faced network of demand, like Europe, need to be flexible, responsive, and follow a customer-focused policy. Therefore, there is an increased need for automated solutions not only in product design but also in the manufacturing section. Such solutions need to replace manual effort increasing efficiency and creating new horizons of innovation and development. In this paper, a mathematical model based on Goal Programming modeling has been introduced as a part of a more flexible and automated perspective for production scheduling. The model is applied to a production scheduling process of an automotive company headquartered in Germany to handle a multi-objective problem that manual effort cannot. The paper will explain how demand management, lead time shortening, and process efficiency can be solved through a mathematical model properly modified to its cause.",

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AB - The increased demand for highly customized products and the need for shortening lead times for competitive advantage has also affected the automotive industry. Companies that handle markets in a multi-faced network of demand, like Europe, need to be flexible, responsive, and follow a customer-focused policy. Therefore, there is an increased need for automated solutions not only in product design but also in the manufacturing section. Such solutions need to replace manual effort increasing efficiency and creating new horizons of innovation and development. In this paper, a mathematical model based on Goal Programming modeling has been introduced as a part of a more flexible and automated perspective for production scheduling. The model is applied to a production scheduling process of an automotive company headquartered in Germany to handle a multi-objective problem that manual effort cannot. The paper will explain how demand management, lead time shortening, and process efficiency can be solved through a mathematical model properly modified to its cause.

KW - Automotive industry

KW - Demand management

KW - Goal programming

KW - Mathematical modelling of decision making support systems

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ER -

Production scheduling using a multi-objective framework in an automotive company

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Bibliographical note

Keywords

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