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- Work in 2013 - The WEMax proposes a framework for the continuous performance improvement of manufacturing lines. The WEMax framework consists of two main activities: 1) assembly work process improvement, including time and motion study, and 2) improvement of line balance efficiency. Although there have been numerous studies on this topic, most of them deal with partial issues rather than the continuous performance improvement of the whole assembly line, which this paper addresses. ...

Linear Program Solver (Solvexo) is an optimization package intended for solving linear programming problems. The main features of the Solvexo are: · Solvexo solver is based on the efficient implementation of the simplex method (one or two phases); · Solvexo provides not only an answer, but a detailed solution process as a sequence of simplex matrices, so you can use it in studying (teaching) linear programming. · Solvexo provides a solution with the graphic method for problems with tow variables...

LuaXLL is a lightweight Lua interpreter built into a Excel XLL. The XLL has extensions built into it which allow new Excel functions to be defined in a Lua script and exposed to the main application with the XLL marshalling data across the environments. Its primary use is for rapid modelling and development. And it could also serve as an interface to more advanced models built in C. It has built-in support for ODBC databases (via LuaSQL) and some generic modeling functions (added as I need them). The entire XLL is currently less than 600KB.

Linear Program Solver (LiPS) is an optimization package oriented on solving linear, integer and goal programming problems. The main features of LiPS are: ● LiPS is based on the efficient implementation of the modified simplex method that solves large scale problems. ● LiPS provides not just an answer, but a detailed solution process as a sequence of simplex tables, so you can use it for studying/teaching linear programming. ● LiPS gives sensitivity analysis procedures, which allow us to study the behaviour of the model when you change its parameters, including: analysis of changes in the right sides of constraints, analysis of changes in the coefficients of the objective function, analysis of changes in the column/row of the technology matrix. ...