In the literature, decision support systems (DSSs) have typically been evaluated on only a single criterion such as the outcome from decision making. However, it is clear that DSSs simultaneously have a critical impact on the process-oriented aspects of decision making, suggesting that a...

Over the years, a number of researchers have assessed the quality of information systems (IS) journals. Most of these studies have assessed general IS journals, but few have specifically examined journals that focus on decision-making support systems. Furthermore, even though there are many...

This paper shows that the use of satisfiability tests and time-bound adjustments based on energetic reasoning and global operations can enhance the efficiency of branch and bound procedures for optimally solving the hybrid flow shop scheduling problem. Procedures to use energetic reasoning and...

An empirical analysis was conducted to assess the relative effectiveness of four integer programming models for the regular permutation flowshop problem. Each of these models was used to solve a set of 60 flowshop problems. Analysis of the resultant computer solution times for each model...

This article shows that the use of a genetic algorithm can provide better results for training a feedforward neural network than the traditional techniques of backpropagation. Using a chaotic time series as an illustration, we directly compare the genetic algorithm and backpropagation for...

The majority of scheduling research assumes setup as negligible or part of the processing time. While this assumption simplifies the analysis and/or reflects certain applications, it adversely affects the solution quality for many applications which require explicit treatment of setup. Such...