A STEP-based manufacturing information system to share flexible manufacturing resources data

López-Ortega, Omar; Moramay, Ramírez

doi:10.1007/s10845-005-7024-5

Cited by 32 publications

(12 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Although some research work on workpiece and tool handling system representation [10,11] has been undertaken, synchronizing these representations with a machine tool requires a unified data model which can represent machine tools as well as the attached auxiliary devices. Other auxiliary devices such as pallet changers, tool magazines, tool bank inventories and workpiece changers are essential elements in the manufacturing system to represent the unified functionality of the manufacturing facility.…”

Section: Manufacturing Resource Models and Viewpointsmentioning

confidence: 99%

A Unified Manufacturing Resource Model for representing CNC machining systems

Vichare

Nassehi

Kumar

et al. 2009

Robotics and Computer-Integrated Manufacturing

View full text Add to dashboard Cite

Section: Manufacturing Resource Models and Viewpointsmentioning

confidence: 99%

A Unified Manufacturing Resource Model for representing CNC machining systems

Vichare

Nassehi

Kumar

et al. 2009

Robotics and Computer-Integrated Manufacturing

View full text Add to dashboard Cite

“…These standards do not provide mechanisms for the representation of configurable products and services [20]. STEP applications [21], [22] as industrial standards for the representation of configurable products are restricted to specific types of products (e.g., products in the automotive industry). They are very large and hardly provide real examples for product models which sometimes make the meaning of STEP concepts unclear [23].…”

Section: Reusable Configuration Knowledgementioning

confidence: 99%

Standardized Configuration Knowledge Representations as Technological Foundation for Mass Customization

Felfernig

2007

IEEE Trans. Eng. Manage.

View full text Add to dashboard Cite

Abstract-The effective integration of configuration system development with industrial software development is crucial for a successful implementation of a Mass Customization strategy. On the one hand, configuration knowledge bases must be easy to develop and maintain due to continuously changing product assortments. On the other hand, flexible integrations into existing enterprise applications, e-marketplaces and different facets of supply chain settings must be supported. This paper shows how the Model Driven Architecture (MDA) as an industrial framework for model development and interchange can serve as a foundation for standardized configuration knowledge representation, thus enabling knowledge sharing in heterogeneous environments. Using UML/OCL as standard configuration knowledge representation languages, the representation of configuration domain-specific modeling concepts within MDA is shown and a formal semantics for these concepts is provided which allows a common understanding and interpretation of configuration task descriptions.

show abstract

“…Najid et al (2002) used simulated annealing for optimizing the flexible assignment of machines in fJSP. Lopez and Moramay (2005) newly described the design and implementation of a step-based manufacturing information system to share flexible manufacturing resources data.…”

Section: Introductionmentioning

confidence: 99%

Multiobjective Genetic Algorithm for Scheduling Problems in Manufacturing Systems

Gen¹,

Lin²

2012

Industrial Engineering and Management Systems

View full text Add to dashboard Cite

Scheduling is an important tool for a manufacturing system, where it can have a major impact on the productivity of a production process. In manufacturing systems, the purpose of scheduling is to minimize the production time and costs, by assigning a production facility when to make, with which staff, and on which equipment. Production scheduling aims to maximize the efficiency of the operation and reduce the costs. In order to find an optimal solution to manufacturing scheduling problems, it attempts to solve complex combinatorial optimization problems. Unfortunately, most of them fall into the class of NP-hard combinatorial problems. Genetic algorithm (GA) is one of the generic populationbased metaheuristic optimization algorithms and the best one for finding a satisfactory solution in an acceptable time for the NP-hard scheduling problems. GA is the most popular type of evolutionary algorithm. In this survey paper, we address firstly multiobjective hybrid GA combined with adaptive fuzzy logic controller which gives fitness assignment mechanism and performance measures for solving multiple objective optimization problems, and four crucial issues in the manufacturing scheduling including a mathematical model, GA-based solution method and case study in flexible job-shop scheduling problem (fJSP), automatic guided vehicle (AGV) dispatching models in flexible manufacturing system (FMS) combined with priority-based GA, recent advanced planning and scheduling (APS) models and integrated systems for manufacturing.

show abstract

A STEP-based manufacturing information system to share flexible manufacturing resources data

Cited by 32 publications

References 9 publications

A Unified Manufacturing Resource Model for representing CNC machining systems

A Unified Manufacturing Resource Model for representing CNC machining systems

Standardized Configuration Knowledge Representations as Technological Foundation for Mass Customization

Multiobjective Genetic Algorithm for Scheduling Problems in Manufacturing Systems

Contact Info

Product

Resources

About