TY - JOUR

T1 - Model-based Analysis of Reassembly Processes within the Regeneration of Complex Capital Goods

AU - Kuprat, Thorben

AU - Schmidt, Matthias

AU - Nyhuis, Peter

N1 - The authors would like to thank the German Research Foundation (DFG) for funding Collaborative Research Center 871 “Regeneration of complex capital goods”, currently being conducted at the Leibniz Universität.

PY - 2016/12

Y1 - 2016/12

N2 - In regenerating complex capital goods two of the key criteria for success on the market include keeping downtimes to a minimum in order to realize short throughput times and maintaining a high degree of schedule reliability. When unable to comply with the market's demands on their logistical performance, companies that provide regeneration services are faced with significant financial penalties and costs for delays as well as the threat of customers switching to competitors. In addition, regeneration processes must be economically effective. Efficiently designing and planning the entire regeneration process is therefore indispensable. As a core element, the reassembly at the end of the process chain plays a key role. Since the various material flows merge together here, the logistic quality of the supply processes is particularly visible at this point. Furthermore, reassembly is generally the last value-adding process within the regeneration supply chain. Up until now, descriptive and analytical approaches consider the various supply processes independently of one another and ignore to some degree existing statistical dependencies between these processes. These dependencies however, are frequently found in the industry and have to be taken into consideration when planning tasks and evaluating design measures. This paper will thus introduce the different existing approaches for describing and analyzing reassembly processes and compare them using a case study.

AB - In regenerating complex capital goods two of the key criteria for success on the market include keeping downtimes to a minimum in order to realize short throughput times and maintaining a high degree of schedule reliability. When unable to comply with the market's demands on their logistical performance, companies that provide regeneration services are faced with significant financial penalties and costs for delays as well as the threat of customers switching to competitors. In addition, regeneration processes must be economically effective. Efficiently designing and planning the entire regeneration process is therefore indispensable. As a core element, the reassembly at the end of the process chain plays a key role. Since the various material flows merge together here, the logistic quality of the supply processes is particularly visible at this point. Furthermore, reassembly is generally the last value-adding process within the regeneration supply chain. Up until now, descriptive and analytical approaches consider the various supply processes independently of one another and ignore to some degree existing statistical dependencies between these processes. These dependencies however, are frequently found in the industry and have to be taken into consideration when planning tasks and evaluating design measures. This paper will thus introduce the different existing approaches for describing and analyzing reassembly processes and compare them using a case study.

KW - logistic performance measurement

KW - reassembly

KW - regeneration

KW - Engineering

UR - http://www.scopus.com/inward/record.url?scp=84998775128&partnerID=8YFLogxK

U2 - 10.1016/j.procir.2016.08.008

DO - 10.1016/j.procir.2016.08.008

M3 - Journal articles

AN - SCOPUS:84998775128

VL - 55

SP - 206

EP - 211

JO - Procedia CIRP

JF - Procedia CIRP

SN - 2212-8271

ER -