Manufacturing is a resource-intensive and costly endeavor, yet the impacts of implementing a combination of lean and green practices in a manufacturing facility can hardly be forecasted and have typically been simulated, optimized, and valuated independently. This paper identifies an approach for incorporating both lean and green strategies into a manufacturing system; from data collection to the valuation of a system. Furthermore, a case study is presented of part production in the automotive sector, in which the implementation of a tailored combination of lean and green strategies resulted in the reduction of approximately 10.8% of the production costs of a representative part. This paper discussed a three-step approach to the proactive performance valuation of a manufacturing system affected by the application of lean and green strategies. In step one, the relevant data and abstraction levels needed to set up a discrete event simulation model were defined. The second step outlined potential lean and green methods that could be utilized within the company, as well as their modeling options in a simulation environment. Additionally, a program was described to actuate the optimization of the manufacturing system, for which a cost optimization example was utilized. The last step of the procedure covered the monetary evaluation of lean and green strategy implementation using Cost-time profiles. With the aid of Cost-time profiles, the most beneficial strategies can be identified resulting in an action plan for industrial companies. The approach was validated with the presentation of a case study of an automotive company in the last chapter.


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    Title :

    Assessment of lean and green strategies by simulation of manufacturing systems in discrete production environments


    Contributors:

    Published in:

    CIRP Annals ; 62 , 1


    Publication date :

    2013


    Size :

    4 Seiten, 1 Bild, 4 Tabellen, 14 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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