Usability of complex information system like enterprise resource planning (ERP) system is still a challenging area. This is why many usability problems have been found in the ERP system. In this article, we tried to highlight the 21 usability problems in ERP error messages by using Nielsen’s heuristics and inquiry questionnaire methods. Nielsen’s heuristics is a better for finding a large numbe...

1. System Dynamics (SD) developed originally in the late 1950s by Jay Forrester 2. Viable Systems Model (VSM) developed originally in the late 1960s by Stafford Beer 3. Strategic Options Development and Analysis (SODA: with cognitive mapping) developed originally in the 1970s by Colin Eden 4. Soft Systems Methodology (SSM) developed originally in the 1970s by Peter Checkland 5. Critical Systems...

This paper describes a route construction method for the vehicle routing problem with multiple vehicle types and time window constraints. Several insertion-based savings heuristics are presented. The heuristics were tested on twenty-four 100-customer problems modified from the literature. Experimental results demonstrate that heuristics with the consideration of a sequential route construction ...

Meta-heuristics such as simulated annealing, genetic algorithms and tabu search have been successfully applied to many difficult optimization problems for which no satisfactory problem specific solution exists. However, expertise is required to adopt a metaheuristic for solving a problem in a certain domain. Hyper-heuristics introduce a novel approach for search and optimization. A hyper-heuris...

We study constraint effective potentials for various strongly interacting φ theories. Renormalization group (RG) equations for these quantities are discussed and a heuristic development of a commonly used RG approximation is presented which stresses the relationships among the loop expansion, the Schwinger-Dyson method and the renormalization group approach. We extend the standard RG treatment ...

Hyper-heuristics are emerging methodologies that perform a search over the space of heuristics to solve difficult computational optimization problems. There are two main types of hyper-heuristics: selective and generative hyper-heuristics. An online selective hyper-heuristic framework manages a set of low level heuristics and aims to choose the best one at any given time using a performance mea...

This paper proposes an integrated network design model for a post-distribution cross-docking strategy, comprising multi product production facilities with shared production resources, capacitated cross docks with setup cost and customer zones with time windows constraints. The model is dynamic in terms of time-varying uncertain demands, whereas uncertainty is expressed with scenario approach an...

Hyper-heuristics are a class of high-level search methods used to solve computationally difficult problems, which operate on a search space of low-level heuristics rather than solutions directly. Previous work has shown that selection hyper-heuristics are able to solve many combinatorial optimisation problems, including the multidimensional 0-1 knapsack problem (MKP). The traditional framework ...