Model-based production cost estimation to support bid processes: an automotive case study

Borenich, Andrea, Greistorfer, Peter and Reimann, Marc (2019) Model-based production cost estimation to support bid processes: an automotive case study. Central European Journal of Operations Research. ISSN 1435-246X (In Press)

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Official URL: https://doi.org/10.1007/s10100-019-00608-1

Abstract

In the automobile supplier industry companies frequently need to make bids, typically based on cost estimates for the production process, to obtain incoming orders. The production process is executed in several main stages, which are linked by intra-plant logistics. To model different scenarios, we consider two separate organizational approaches towards cost estimation. In the first one, all the main stages are optimized via a central authority. The second approach models a decentralized decision making process, as it is currently used in practice. Moreover, we analyze different coordination mechanisms to improve the decentralized approach. To capture the uncertainty during the bid process, associated with key parameters like demand, capacity consumption and cost, we formulate a stochastic version of the model, capturing different risk preferences to compare risk-neutral and risk-averse decision making. The resulting MILPs are solved with CPLEX and results for an illustrative example based on a real data set are presented.

Item Type: Article
Uncontrolled Keywords: Production modeling, Automotive industry, Cost estimating, Uncertainty, Risk analysis
Subjects: N100 Business studies
Department: Faculties > Business and Law > Newcastle Business School > Business and Management
Depositing User: Becky Skoyles
Date Deposited: 04 Jun 2019 08:49
Last Modified: 11 Oct 2019 09:08
URI: http://nrl.northumbria.ac.uk/id/eprint/39466

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