Production planning and control (PPC) systems are important to the competitiveness of
manufacturing firms and their ability to benefit from recent technological advances. We give …

This paper discusses the sensitivity analysis of valuation equations used in investment
decisions. Since financial decision are commonly supported via a point value of some …

This paper discusses the use of global sensitivity analysis (SA) techniques in investment
decisions. Global SA complements and improves uncertainty analysis (UA) providing the …

In this paper we revise and modify an old branch-and-bound method for solving the
asymmetric distance–constrained vehicle routing problem suggested by Laporte et al. in …

In this work, we introduce a new method for the sensitivity analysis of model output in the
presence of finite changes in one or more of the exogenous variables. We define sensitivity …

Linear optimization (LO) is the fundamental problem of mathematical optimization. It admits
an enormous number of applications in economics, engineering, science and many other …

Sensitivity analysis is one of the most interesting and preoccupying areas in optimization.
Many attempts are made to investigate the problem's behavior when the input data changes …

Nowadays, managing correctly the always changing customer demands is a challenge for
companies, especially because of its impact on the Supply Chain (Forrester effect). Tactical …

This paper takes a fresh look at sensitivity analysis in linear programming. We propose a
merged approach that brings together the insights of Wendell's tolerance and Wagner's …

In many practical linear programming problems, it is often important to know how different
optimality criteria (optimal solution, optimal basis, optimal partition, etc.) change under input …