Understanding of how to implement Lean successfully and how it contributes to performance in manufacturing organizational is still relatively lacking so that Lean exploration is still needed in the management aspect. This research will examine the effect of LMS, LWRT on LBR. This research was conducted on 30 companies in industrial centers in Indonesia, and the data were processed using the Structural Equation Model method. It was found that LMS has no significant effect on LBR, but LMS has a significant effect on LWRT, while LWRT has a significant effect on LBR. In detail, LBR variation of 78.8% is simultaneously influenced by LMS and LWRT, 21.2% is influenced by other variables. While 72.7% LWRT variation is influenced by LMS variation, and 27.3% is influenced by other variables. This result confirms Bergmiller’s research (2009) that LMS has a significant effect on LBR through LWRT for the manufacturing industry in Indonesia.

Over the recent years, there is a growing interest in concrete prefabrication. Many of the currently operating concrete plants have implemented systems that increase the quality of manufactured products, have expanded highly automated production lines and have clearly reduced wastes and energy consumption. However, one of the problems often encountered in the construction industry is the inefficient organization of logistics processes. Proper shipments planning of aggregates consisting of the selection of their appropriate quantity and the aggregate stock, corresponding to the needs of concrete plants should contribute to lowering costs. Therefore, it is necessary to carry out the optimization, the aim of which is to minimize costs, as well as to maximize the fulfillment of the degree of expected needs of concrete plants. This paper presents a model that allows purchase strategy optimization of aggregates with different grain size fraction. For research purposes, three separate aggregate stocks and five different concrete plants are considered.