Cost Sensitive Analysis of Production Logistics Measures A Decision Making Support System for Evaluating Measures in the Production

Abstract

Due to the volatile global economy, enterprises are increasingly focusing on logistics. By investing in suitable measures a company can increase their logistic performance and assert themselves over the competition. However, enterprises are also faced with the challenge of investing available capital for maximum profits. In order to be able to create an informed and quantifiably comprehensible basis for a decision, enterprises need a suitable model for logistically and monetarily evaluating measures in production. Previously, within the frame of Collaborate Research Centre 489 (SFB 489) at the Institute for Production Systems and Logistics, (IFA) a Logistic Information System was developed specifically for providing enterprises in the forging industry with support when making decisions. Based on this research, a new initiative referred to as ‘Transfer Project T7’, aims to develop a universal approach for logistically and monetarily evaluating production measures. This paper focuses on the structural measure echelon storage and their impact on the entire production system. Keywords—Logistic Operating Curves, Transfer Functions, Production Logistics, Storages Echelon.

4 Figures and Tables

Cite this paper

@inproceedings{Grigutsch2014CostSA, title={Cost Sensitive Analysis of Production Logistics Measures A Decision Making Support System for Evaluating Measures in the Production}, author={Michael Grigutsch and Peter Nyhuis}, year={2014} }