An integrated process planning system using feature reasoning and space search-based optimization

Khoshnevis, Behrokh; Šormaz, Dušan; Park, Joo Yeon

doi:10.1080/07408179908969862

Cited by 28 publications

(12 citation statements)

References 12 publications

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“…Today, neural networks are used in applications such as pattern recognition, optical character recognition, outcome prediction, and problem classification (Anderson 1995). Examples of other applications can be found in Khoshnevis et al (1999) and Lin et al (1996).…”

Section: Literature Reviewmentioning

confidence: 99%

A Diagnostic Tree for Improving Production Line Performance

Hopp

Iravani

Shou³

2007

Production and Operations Management

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Improving performance of production systems is a critical but often unstructured activity. To help managers convert ad hoc or trial & error improvement efforts into efficient and systematic reviews, we develop a diagnostic tree which decomposes a performance improvement objective into successively more concrete sub-objectives and finally into potential improvement strategies. Based on principles from the Operations Management literature, this tree is structured to enable a non-specialist to better understand the links between corrective actions and performance. It also provides an important foundation for a principles-based knowledge management system that couples the decision tree with a search engine for locating relevant documents within an intranet.

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Section: Literature Reviewmentioning

confidence: 99%

A Diagnostic Tree for Improving Production Line Performance

Hopp

Iravani

Shou³

2007

Production and Operations Management

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“…Steps of the process selection algorithm are shown in Figure 4 (from [17]. Process selection for a feature starts by comparing the given process capability of a selected process with the feature requirement.…”

Section: Process Selection Proceduresmentioning

confidence: 99%

RULE-BASED PROCESS PLANNING AND SETUP PLANNING WITH CONSIDERATIONS OF GD&T REQUIREMENTS

Šormaz

Wakhare

Arafat

2017

IJAQ

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“…When considering process planning, Khoshnevis et al [22] used a feature completion module to convert design features into machining features, which are suitable for process planning. Stage et al [23] proposed a machining resourcebased, objective driven and hence flexible method for embedding manufacturing knowledge into a machining feature generation process.…”

Section: Related Researchmentioning

confidence: 99%