Summary This chapter explains the theory and practical use of the goal programming methods. Linear goal programs can be solved using linear programming software, for example the Microsoft Excel Solver add-in or LINGO package. The chapter describes three variants of goal programming: weighted goal ...
Application of a multi-objective programming model like goal programming model is an important tool for studying various aspects of management systems. In this paper we present a digital approach to solve linear goal programming by using Microsoft Excel Solver. 展开 ...
Specifically, we discuss an exercise using goal programming and Excel Solver for making supplier selection decisions incorporating a triple bottom line approach (economic, environmental and social performance objectives). The multiple, conflicting objectives and the qualitative nature of the social ...
9 RegisterLog in Sign up with one click: Facebook Twitter Google Share on Facebook goal seeking Wikipedia The ability to calculate a formula backward to obtain a desired input. For example, given the goalgross margin = 50%and the range of possible inputs, goal seeking attempts to obtain th...
The Si8000 application includes three components, the Si8000 Quick Solver, the Si8000 workbook with its pre-built sample structures and the Si8000Expert workbook, which simply provides the user-defined functions to access the Si8000 calculation engine. ...
In general, the goals can be prioritized by the problem-solver. That is, a priority factor,ρi (i= 1, 2, ⋯,n), is assigned to the deviational variables associated with the goals. This is referred to as “lexicographic ordering.” The lexicographic goal programming (LGP) model, as...
By creating a multi-objective MILP model, this framework can be used by any off-the-shelf optimization solver, making it easily implementable. This paper focuses on two goals for PMU allocation: enhanced gross error detection and financial cost. These are naturally interdependent contradictory goals...
Galliwasp is a goal-directed implementation of answer set programming. Unlike other answer set solvers, Galliwasp computes partial answer sets which are provably extensible to full answer sets. Galliwasp can execute arbitrary answer set programs in a...
The RMCGP-LHS model design was implemented in the General Algebraic Modeling System, version GAMS 23.6.5, and resolved using Solver CPLEX, version 12.2.1.1. The results are shown in Section 5. 2.5. Validation of results The results of the model were validated with the mill’s managers using...
It is known that GP is an extension of linear programming involving an objective function with multiple objectives [11]. The traditional GP model can be easily solved by simplex method or by using many computerized software programs such as Microsoft Excel Solver add-on and the LINGO package [...