Object oriented manufacturing resource modelling for adaptive process planning

Zhang, Yuyun; Feng, Shaw C.; Xiankui, Wang; Tian, Wensheng; Wu, R.

doi:10.1080/002075499189727

Cited by 51 publications

(16 citation statements)

References 16 publications

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“…In the state of the art, the nominal model of manufacturing resources is used, which fails to reflect the actual state of the resources(Newman and Nassehi 2009). Researchers have started to address the problem and proposed different approaches to model the manufacturing resources Zhang et al 1999;Vichare et al 2009). One disadvantage of these modelling approaches is the fact that the resource models focus on the hardware (machine tools, cutting tools, auxiliary devices etc.)…”

Section: Machine Capability Profile With Controller Modellingmentioning

confidence: 99%

A STEP-compliant Method for Manufacturing Knowledge Capture

et al. 2014

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Over the last 50 years the development of CNC machines has seen a plethora of part programming languages. These programming languages have provided major barriers for the interoperability of information between CNC machines and Computer-aided (CAx) systems. Thus the process knowledge in existing part programs cannot easily be recycled and reused, due to an inability to interpret these forms of data. In fact, the process knowledge in the existing part programs is vital to develop process plans for new products, reduce leading time, and accumulate knowledge to enhance the product quality based on previous knowledge. In this paper, a STEP standard compliant method is proposed to recycle manufacturing knowledge from shopfloor in a universal manner. An EXPRESS model of CNC programming languages has been developed, though which different programing dialects can be translated into neutral data model. Based on the neutral data, a process comprehension method was used to capture process knowledge from CNC part programs and represent the knowledge in a standardised format. The EXPRESS model also forms a basis for a comprehensive machine tool modelling to assistant process planning activities. The proposed method is implemented in a prototype system and an industrial inspired component is used to validate the knowledge capture method.

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Section: Machine Capability Profile With Controller Modellingmentioning

confidence: 99%

A STEP-compliant Method for Manufacturing Knowledge Capture

et al. 2014

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“…Shen describes in his state of the art survey feature-based, knowledge-based systems, neural networks, genetic algorithms, fuzzy set theory/logic, petri-net-based, agent-based approaches [25]. Furthermore, internet-based/serviceoriented [7,35], genetic algorithm [8], hierarchical synthetisation [5] and object oriented [37] approaches have been proposed.…”

Section: State Of the Artmentioning

confidence: 99%

Reducing data loss within adaptive process chains in the context of commonly-used CAx systems

Klocke

Spöcker

Huwer

et al. 2015

Prod. Eng. Res. Devel.

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In many industries the focus in CAx based manufacturing has changed from fixed process chains to ones which can adapt to dynamic inputs. This way process chains can take measurement data into account to produce optimal results. Unfortunately, existing approaches do not integrate well with the existing CAx systems since they do not ensure that existing processes will be kept unchanged. This restriction leads to a low adaption rate in some industries. Especially in the aerospace industry every change in the manufacturing processes will result in high costs. In this paper it is shown that an extended function block approach can be integrated with existing CAx systems while allowing the modeling and controlling of adaptive process chains with reduced data loss at the same time. In order to achieve this goal, data port manifests are introduced which announce supported data formats and features of the corresponding function block. This extension reduces information loss at system interfaces and helps to ensure that required data will be transferred between function blocks. A case study will show how this extension can be used in a common CAx system

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“…Most agent-based processplanning systems (including scheduling integrated systems) follow the functional decomposition of agents [22], [55], [99], [132], [134]. How to build multiagent systems to solve complex applications using the physical agent decomposition approach, or a combination of both approaches, is a possible future research direction.…”

Section: A Agent Encapsulationmentioning

confidence: 99%

“…Each agent in the system deals with a relatively independent functional domain in process planning. 3) Zhang et al [132] proposed an agent-based adaptive process-planning (AAPP) system on top of an object-oriented manufacturing resources modeling (OOMRM) framework. The OOMRM describes manufacturing resources' capability and capacity in an object-oriented manner, while the AAPP is implemented as an integrated process-planning platform.…”

Section: B Agent-based Approachesmentioning

confidence: 99%

“…Research studies on process planning include object-oriented approaches [105], [132], GA-based approaches [70], [131], neural-network-based approaches [21], [69], Petri net-based approaches [53], feature recognition or feature-driven approaches [114], [119], and knowledge-based approaches [108], [118]. These approaches and their combinations have been applied to some specific problem domains, such as tool selection [24], [56], tool path planning [7], [45], machining parameters selection [3], [37], process sequencing [129], and setup planning [75], [125].…”

Section: A Traditional Approachesmentioning

confidence: 99%

See 1 more Smart Citation

Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey

Shen

Wang

Hao

2006

IEEE Trans. Syst., Man, Cybern. C

352

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Abstract-Manufacturing process planning is the process of selecting and sequencing manufacturing processes such that they achieve one or more goals and satisfy a set of domain constraints. Manufacturing scheduling is the process of selecting a process plan and assigning manufacturing resources for specific time periods to the set of manufacturing processes in the plan. It is, in fact, an optimization process by which limited manufacturing resources are allocated over time among parallel and sequential activities. Manufacturing process planning and scheduling are usually considered to be two separate and distinct phases. Traditional optimization approaches to these problems do not consider the constraints of both domains simultaneously and result in suboptimal solutions. Without considering real-time machine workloads and shop floor dynamics, process plans may become suboptimal or even invalid at the time of execution. Therefore, there is a need for the integration of manufacturing process-planning and scheduling systems for generating more realistic and effective plans. After describing the complexity of the manufacturing process-planning and scheduling problems, this paper reviews the research literature on manufacturing process planning, scheduling as well as their integration, particularly on agent-based approaches to these difficult problems. Major issues in these research areas are discussed, and research opportunities and challenges are identified.

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Object oriented manufacturing resource modelling for adaptive process planning

Cited by 51 publications

References 16 publications

A STEP-compliant Method for Manufacturing Knowledge Capture

A STEP-compliant Method for Manufacturing Knowledge Capture

Reducing data loss within adaptive process chains in the context of commonly-used CAx systems

Agent-based distributed manufacturing process planning and scheduling: a state-of-the-art survey

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