Survey: Allocation of quality control stations in multistage manufacturing systems

In multi-stage manufacturing systems, optimisation of part quality inspection planning (PQIP) problem means to determine the optimal time, place and extent of inspection activities for assessing th...

/pdf/a-review-on-optimisation-of-part-quality-inspection-planning-216g5otefw.pdf

A review on optimisation of part quality inspection planning in a multi-stage manufacturing system

Inspection sequencing and part scheduling for flexible manufacturing systems

Given the globally increasing demand for electric vehicles, production capacities for electric powertrains need to expand dramatically Therefore, the automotive industry is in need for technologies with high potential for automation and mass production The innovative hairpin stator technology, in which the winding consists of solid copper bars instead of flexible round wires, promises unique and valuable characteristics on both the product and process side However, major challenges need to be addressed and overcome to achieve a reliable and stable process for series production Also, due to the cost-intensive and rather inflexible production lines, product and process characteristics need to be developed and defined at an early stage One major challenge is the assurance of quality throughout the manufacturing process and especially the use of inspection technology in the course of the same The goal is to develop an efficient inspection concept that specifically targets quality relevant interdependencies throughout the production process Therefore, pre-identified highly influential process error sequences are analyzed based on learnings from early process development and expert knowledge regarding the respective process steps Then, both potential inspection points in time as well as potential inspection technologies for the identified critical error sequences are evaluated As a result, the analysis lists process errors and error sequences with critical impact on the quality of the finished hairpin stator and suggests inspection measures to address those parameters In summary, this paper presents a method for the analysis of complex process chains in early process development and enables the integration of the results into the inspection planning for the pre-selection of the inspection point in time and technology

A Systematic Approach to Inspection Planning in Agile Process Development of Hairpin Stator Production

Quality inspection in multistage production systems (MPSs) has become an issue and this is because the MPS presents various possibilities for inspection. The problem of finding the best inspection plan is an “inspection planning problem”. The main simultaneous decisions in an inspection planning problem in a MPS are: 1) which quality characteristics need to be inspected, 2) what type of inspection should be performed for the selected quality characteristics, 3) where these inspections should be performed, and 4) how the inspections should be performed. In addition, lack of information about production processes and several environmental factors has become an important issue that imposes a degree of uncertainty to the inspection planning problem. This research provides an optimization framework to plan an inspection process in a MPS, wherein, input parameters are uncertain and inspection tools and production machines are subject to breakdown. This problem is formulated through several mixed-integer mathematical programming models with the objectives of minimizing total manufacturing cost, maximizing customer satisfaction, and minimizing total production time. Furthermore, Taguchi and Monte Carlo methods are applied to cope with the uncertainties. Due to the complexity of the proposed models, meta-heuristic algorithms are employed to find optimal or near-optimal solutions. Finally, this research implements the findings and methods of the inspection planning problem in another application as hub location problem. General and detail concluding remarks are provided for both inspection and hub location problems.

A multi-objective optimization framework for an inspection planning problem under uncertainty and breakdown

The performance of four inspection-station allocation heuristics is evaluated on the basis of job completion time in serial production systems under different operating conditions. Inspection time is found to be the most influential factor in the selection of the proper heuristic. Moreover, the performance obtained in the time domain can be related to the performance in the cost domain within which a cost analysis can be performed. >

Evaluation of heuristics for inspection station allocation in serial production systems

Popular Tasks used by Researchers

How can I help with your research?

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

We encountered an error while loading the panel. Please try refreshing the page.

Something went wrong

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

Anyone with the link can view this chat. You can switch it back to private anytime.

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Chi-Ming Chang

Author Tools

Chat about Author

Papers

Evaluation of heuristics for inspection station allocation in serial production systems