%0 Journal Article %1 das2010simulative %A Anis Selaouti, Jens Knigge, Rouven Nickel %D 2010 %E Das, Vinu V %J AMAE International Journal on Production and Industrial Engineering %K cause_effect_interdependencies forging_industry simulation_study tool_logistics tool_logistics_objectives %N 1 %P 8 %T Simulative study of cause-effect interdependencies in tool logistics %U http://amae.theides.org/ijpie/ %V 1 %X Today, the forging industry is facing new challenges. The day-to-day business is characterized by fluctuating order quantities and the production of high numbers of variants. Under this condition the tool logistics is gaining more importance in order to minimize production downtimes through guaranteeing high tool availability with minimal tool costs. This paper presents an approach for a synchronisation of tool supply processes to production requirements by evaluation of the cause-effect interdependencies from tool life quantity and tool stock level on production performance and tool utilization. Therefore the developed simulation model and its usage for an extensive simulation study is specified in this paper. It presents the findings from the cause-effect analysis and is subdivided into four sections. In the first section the tool logistic is described by a typical tool loop in massive forging industries which is confirmed by a survey in 27 German forging companies. Elements of a tool loop and the influencing factors are specified. From this, the objectives of tool logistics (e. g. high tool availability and low tool stock level) are deduced in the second section. For the quantification of objectives in tool logistics basic key indicators are defined and described mathematically. In the third section an ideal tool loop is defined and associated key indicators, such as “Maximum production output rate per tool” are calculated. The modular structure of the simulation model and the experimental design for the simulation study is described in section four. The simulation study is carried out in order to describe cause-effect interdependencies between influencing factors and objectives (e. g. tool availability) in tool logistics. Therefore a one by one factor study gives significant value ranges for fully factorial experiments. This is used to analyze the effects of interactions between influencing factors on the tool logistics objectives. Finally the basic conclusions from the experimental simulation study are described as well as the ongoing research which is facing an approximation function, that enables to calculate tool operating points.

@article{das2010simulative, abstract = {Today, the forging industry is facing new challenges. The day-to-day business is characterized by fluctuating order quantities and the production of high numbers of variants. Under this condition the tool logistics is gaining more importance in order to minimize production downtimes through guaranteeing high tool availability with minimal tool costs. This paper presents an approach for a synchronisation of tool supply processes to production requirements by evaluation of the cause-effect interdependencies from tool life quantity and tool stock level on production performance and tool utilization. Therefore the developed simulation model and its usage for an extensive simulation study is specified in this paper. It presents the findings from the cause-effect analysis and is subdivided into four sections. In the first section the tool logistic is described by a typical tool loop in massive forging industries which is confirmed by a survey in 27 German forging companies. Elements of a tool loop and the influencing factors are specified. From this, the objectives of tool logistics (e. g. high tool availability and low tool stock level) are deduced in the second section. For the quantification of objectives in tool logistics basic key indicators are defined and described mathematically. In the third section an ideal tool loop is defined and associated key indicators, such as “Maximum production output rate per tool” are calculated. The modular structure of the simulation model and the experimental design for the simulation study is described in section four. The simulation study is carried out in order to describe cause-effect interdependencies between influencing factors and objectives (e. g. tool availability) in tool logistics. Therefore a one by one factor study gives significant value ranges for fully factorial experiments. This is used to analyze the effects of interactions between influencing factors on the tool logistics objectives. Finally the basic conclusions from the experimental simulation study are described as well as the ongoing research which is facing an approximation function, that enables to calculate tool operating points.}, added-at = {2013-09-10T08:32:30.000+0200}, author = {{Anis Selaouti, Jens Knigge}, Rouven Nickel}, biburl = {https://www.bibsonomy.org/bibtex/2264f06d787e96f6a060b9ea7a0d5f354/ideseditor}, editor = {Das, Vinu V}, interhash = {9d72067c47a54a2d4f1eecdab1013fba}, intrahash = {264f06d787e96f6a060b9ea7a0d5f354}, journal = {AMAE International Journal on Production and Industrial Engineering}, keywords = {cause_effect_interdependencies forging_industry simulation_study tool_logistics tool_logistics_objectives}, month = {December}, number = 1, pages = 8, timestamp = {2013-09-10T08:32:30.000+0200}, title = {Simulative study of cause-effect interdependencies in tool logistics}, url = {http://amae.theides.org/ijpie/}, volume = 1, year = 2010 }