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.
|Number of pages||5|
|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||17th IFAC Symposium on Information Control Problems in Manufacturing INCOM 2021|
|Period||07/06/2021 → 09/06/2021|
Bibliographical noteFunding 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.
© 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)
- Automotive industry
- Demand management
- Goal programming
- Mathematical modelling of decision making support systems
- Production scheduling