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Open AccessArticle

A Numerical Study on the Effects of Trust in Supplier Development

1
International Graduate School for Dynamics in Logistics, University of Bremen, 28359 Bremen, Germany
2
BIBA—Bremer Institut für Produktion und Logistik GmbH at the University of Bremen, Hochschulring 20, 28359 Bremen, Germany
3
IAV GmbH, Development Center, Rockwell Str. 16, 38518 Gifhorn, Germany
4
Faculty of Production Engineering, University of Bremen, Badgasteiner Str. 1, 28359 Bremen, Germany
*
Author to whom correspondence should be addressed.
Processes 2020, 8(3), 300; https://doi.org/10.3390/pr8030300
Received: 5 February 2020 / Revised: 21 February 2020 / Accepted: 3 March 2020 / Published: 5 March 2020
(This article belongs to the Special Issue Industry 4.0 and Sustainable Supply Chain Management)
Supplier development constitutes one of the current tools to enhance supply chain performance. While most literature in this context focuses on the relationship between manufacturers and suppliers, supplier development also provides an opportunity for distinct manufacturers to collaborate in enhancing a joint supplier. This article proposes a model for the optimization of such joint supplier development programs, which incorporates the effects of trust in the manufacturer-to-manufacturer relationship. This article uses a model-predictive formulation to obtain optimal supplier development investment decisions to consider the strong dynamics of the markets. Thereby, the model is designed to be highly customizable to the needs and requirements of different companies. We analyzed the price development related to Mercedes’ A-Class cars and the cost development in the automotive sector over the last ten years in Germany. According to the obtained result, the proposed model shows a sensible behavior in including trust and its effects in supplier development, even when just applying a set of generalized rules. Moreover, the numeric experiments showed that aiming for a balanced mix of optimizing revenue and trust results in the highest revenue obtained by each partner. View Full-Text
Keywords: supplier development; trust; decision making support; optimization; model predictive control supplier development; trust; decision making support; optimization; model predictive control
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MDPI and ACS Style

Dastyar, H.; Rippel, D.; Pannek, J.; Thoben, K.-D.; Freitag, M. A Numerical Study on the Effects of Trust in Supplier Development. Processes 2020, 8, 300.

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