Facility layout planning (FLP) is one of the most important stages in the design of manufacturing systems. A major approach is to define an evaluation index based on distance and find a layout which minimizes it. In this approach, temporal efficiency is not considered in this stage but in the stage of production scheduling performed after completing FLP. The resultant temporal efficiency may not be optimal enough, since the scheduling is performed under the fixed layout. From this point of view, integration of FLP and production scheduling have been discussed in some works. However, detailed position and size of facilities were not considered. This paper provides an integrated method using continuous representation by which those factors can be dealt with. The problems of FLP and production scheduling are formulated as a mixed integer programming and a 0-1 integer programming, respectively. By assuming that transportation speed is constant, these problems are correlated by an equation. This correlation enables formulation of FLP considering temporal efficiency as a mixed integer programming. This method was applied to an example, and it was shown that facilities which are significant for production scheduling are located close enough and better temporal efficiency can be achieved.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.