An integrated rolling horizon and adaptive-refinement approach for disjoint trajectories optimization

Convergence of trajectories in infinite horizon optimization

In this paper, we investigate the convergence of a sequence of minimizing trajectories in infinite horizon optimization problems. The convergence is considered in the sense of ideals and their particular case called the statistical convergence. The optimality is defined as a total cost over the infinite horizon.

An Adaptive Multiscale Method for Real–Time Moving Horizon Optimization

An Integrated DEA and Data Mining Approach for Performance Assessment

This paper presents a data envelopment analysis (DEA) model combined with Bootstrapping to assess performance of one of the Data mining Algorithms. We applied a two-step process for performance productivity analysis of insurance branches within a case study. First, using a DEA model, the study analyzes the productivity of eighteen decision-making units (DMUs). Using a Malmquist index, DEA deter...

An integrated approach for scheduling flexible job-shop using teaching–learning-based optimization method

In this paper, teaching–learning-based optimization (TLBO) is proposed to solve flexible job shop scheduling problem (FJSP) based on the integrated approach with an objective to minimize makespan. An FJSP is an extension of basic job-shop scheduling problem. There are two sub problems in FJSP. They are routing problem and sequencing problem. If both the sub problems are solved simultaneously, t...

An Integrated Approach for the Construction of Enterprise Change Trajectories

Managing change projects in manufacturing enterprises remains difficult and often risky. Some existing research works, good practices and available tools are poorly adapted or hard to autonomously use by industrial decision makers themselves. This article presents and illustrates a change management aided decision approach allowing the construction and evaluation of different possible change pr...