Multi-criteria scheduling optimization with genetic algorithms is described. Scheduling optimization methodology provides the planner with a quick and efficient scheduling method and enables him/her to experiment and decide which of the suitable solutions will become the production plan. The scheduling system is composed of a business information system a database, a discrete event simulation m...

A polymer manufacturer needs to be able to make profitable, proactive decisions about manufacturing that supports the business goals and incorporates the demands of the customer. To achieve this, the company must tie business and manufacturing processes together to make the best decisions. Orders and forecasts must be integrated with planning, scheduling, and plant operations. Existing technolo...

The current manufacturing environment for process industry has changed from a traditional single-site, single market to a more integrated global production mode where multiple sites are serving a global market. In this paper, the integrated planning and scheduling problem for the multisite, multiproduct batch plants is considered. The major challenge for addressing this problem is that the corr...

In customized mass production, isolation of Process Planning (PP) and Scheduling stages has a critical effect on the efficiency of production. In this study, to overcome this isolation problem, we propose an integrated system that does PP and Scheduling in parallel and responds to fluctuations in job floor on time. One common problem observed in integration models is the increase in computation...

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This paper presents an ant colony optimization (ACO) algorithm in an agent-based system to integrate process planning and shopfloor scheduling (IPPS). The search-based algorithm which aims to obtain optimal solutions by an autocatalytic process is incorporated into an established multi-agent system (MAS) platform, with advantages of flexible system architectures and responsive fault tolerance. ...

This paper presents an ant colony optimization (ACO) approach in solving integrated process planning and scheduling (IPPS) with the consideration of setup time. Lots of approaches are proposed to solve the IPPS problem. Most of these approaches ignored the consideration of setup time in order to simplify the problem. This practice may be justifiable for some situations. However, it is not pract...

Integration of process planning and scheduling (IPPS) is an important research issue to achieve manufacturing planning optimisation. In both process planning and scheduling, vast search spaces and complex technical constraints are significant barriers to the effectiveness of the processes. In this paper, the IPPS problem has been developed as a combinatorial optimisation model, and a modern evo...

As globalisation takes place, the market is getting more and more competitive. Manufacturing enterprises are facing tremendous pressure to succeed in the market with promising market shares. This has led to enterprises seeking for competitive advantage in order to vie with their rivals. In manufacturing context, efforts have been put in, for instance, to reduce production lead times, maximise p...

The areas of Artificial Intelligence planning and scheduling have seen important advances thanks to the application of constraint satisfaction models and techniques. Especially, solutions to many real-world problems need to integrate plan synthesis capabilities with resource allocation, which can be efficiently managed by using constraint satisfaction techniques. Constraint satisfaction plays a...