Auto burglary is a rising concern for small cities that rely so highly on revenues from malls and shopping. The fear of auto burglary dispels possible business partners, shoppers, and workers. This piece of research was conducted in Shenandoah, a small city near Houston, Texas. Shenandoah has been experiencing a fastgrowing economy and annexation process. The research highlights the potency of ...

Adding knowledge to a knowledge-based system is not monotonically bene cial. We discuss and experimentally validate this observation in the context of CABINS, a system that learns control knowledge for iterative repair in ill-structured optimization problems. In CABINS, situation-dependent user's decisions that guide the repair process are captured in cases together with contextual problem info...

This study investigates the scheduling of mechanical repairs performed at a Portuguese firm in automobile sector. The aim is to reduce amount time that vehicles spend inactive between interventions by developing mathematical model takes into account available resources and mechanics, necessary interventions, required for each repair. To accomplish this, mixed-integer linear programming (MILP) w...

We propose a method that can be used when deciding on how to maintain capital goods, given a product design and the layout of a repair network. Capital goods are physical systems that are used to produce products or services. They are expensive and technically complex and have high downtime costs. Examples are manufacturing equipment, defense systems, and medical devices. Due to the high downti...

A frequently observed diiculty in the application of genetic algorithms to the domain of optimization arises from premature convergence. In order to preserve genotype diversity we develop a new model of auto-adaptive behavior for individuals. In this model a population member is an active individual that assumes social-like behavior patterns. Diierent individuals living in the same population c...

Recent trends in industry towards autonomous and just-in-time production systems, and the latest developments in Auto-ID technologies, have created new opportunities for enhancing reactivity and agility on the shop floor. To take advantage of these opportunities, a Product Driven System (PDS) concept can be seen as an innovative control concept that advocates that a product can be an active act...

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...

In this paper. the basic framework and algorithms of a decision support system are discussed. which enhance process and capacity planning at a large repair shop. The research is strongly motivated by experiences in a project carried out at a dockyard, which performs repair, overhaul and modification programs for various classes of navy ships. We outline the basic requirements placed upon order ...

Proper scheduling of tasks leads to optimum using of time and resources, in order to obtaining best result. One of the most important and complicated scheduling problems is open shop scheduling problem. There are n jobs in open shop scheduling problem which should be processed by m machines. Purpose of scheduling open shop problem is attaining to a suitable order of processing jobs by specified...