Interactive simulation-based-training tools for manufacturing systems operators: an industrial case study

2017 ◽  
Vol 11 (4) ◽  
pp. 785-797 ◽  
Author(s):  
Alberto Vergnano ◽  
Giovanni Berselli ◽  
Marcello Pellicciari
Keyword(s):  
Manufacturing Systems ◽  
Interactive Simulation ◽  
Industrial Case Study ◽  
Simulation Based

An Ethical Roadmap for Engineering Participatory Design and Sociotechnical Participation: A Manufacturing Case Study

2014 ◽  
Author(s):  
Victoria Townsend ◽  
Pierre Boulos ◽  
Jill Urbanic
Keyword(s):  
Design Process ◽  
Participatory Design ◽  
Manufacturing Systems ◽  
Systems Design ◽  
Ethical Practice ◽  
Ethical Considerations ◽  
Industrial Case Study ◽  
Research And Practice ◽  
Ethical Foundation

Participatory design (PD) is a sociotechnical approach grounded in mutual learning between various stakeholders in a design process. The PD literature emphasizes that authentic participation requires a critical ethical foundation, which, in turn, requires designers to be aware of this ethical foundation and bring it to bear on the design process. Since this is an emerging field in engineering, and since the ethical foundation is critical, it is important for engineers to seek clarity around the ethical considerations for utilizing PD and other sociotechnical methods involving participation. The purpose of the research presented here is to contribute to this clarity, in the context of manufacturing systems design, with the following question: what are the ethical considerations involved in participatory design, in engineering research and practice? To answer this, a case study research methodology is positioned as a nexus between research and practice. A roadmap of ethical considerations relating PD and manufacturing is developed by triangulating between internationally accepted research ethics principles, a professional engineering code of ethics, and an industrial case study with eight participants engaged in PD. This ethical roadmap is useful to engineering researchers and practitioners when using PD and sociotechnical approaches where participation is involved, to encourage a high standard of ethical practice and supporting theory.

A Methodology for Incorporating Ergonomics into Manufacturing Systems Design

2002 ◽  
Vol 46 (13) ◽  
pp. 1022-1026
Author(s):  
Victor Paquet ◽  
Li Lin
Keyword(s):  
Design Process ◽  
Computer Simulations ◽  
Manufacturing Systems ◽  
Production Capacity ◽  
Systems Design ◽  
Labor Cost ◽  
System Throughput ◽  
Industrial Case Study ◽  
Manufacturing Systems Design

Approaches to manufacturing systems design often utilize a sequential procedure that focuses on the use of new and available technologies to improve production capacity, with the roles of employees in production processes considered much later. This study developed a methodology that integrates both manual and computer simulations to evaluate system performance and identify ergonomic problems early in the system design process. Information about operator performance and potential ergonomic risk factors is obtained through manual simulations, and estimates of operator utilization and system throughput are obtained through computer simulations. An iterative design process is used, with the results of manual and computer simulations informing each other during subsequent simulations. The results of an industrial case study in which the methods were applied to the design of a manufacturing cell demonstrate that the methodology can be used to design manufacturing systems with significant savings in labor cost and improved manufacturing system flexibility.

Functional Synthesis of Manufacturing Systems Using Co-Platforming to Minimize Cost of Machines and System Changes

2017 ◽  
Vol 140 (2) ◽  
Author(s):  
Mohamed Abbas ◽  
Hoda ElMaraghy
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
System Level ◽  
Mixed Integer ◽  
Industrial Case Study ◽  
Product Families ◽  
Total Capital ◽  
Total Investment ◽  
The Cost

Manufacturing systems need to be designed to cope with products’ variety and frequent changes in market requirements. Switching between product families in different production periods often requires reconfiguration of the manufacturing system with associated additional cost and interruption of production. A mixed integer linear programing (MILP) model is proposed to synthesize manufacturing systems based on the co-platforming methodology taking into consideration machine level changes including addition or removal of machine axes and changing setup as well as system level changes such as addition or removal of machines. The objective is to minimize the cost of change needed for transition between product families and production periods. An illustrative numerical example and an industrial case study from tier I automotive supplier are used for verification. Finally, the effect of maintaining a common core of machines in the manufacturing system on the total capital and change cost is investigated. It has been demonstrated that synthesizing manufacturing systems designed using the co-platforming strategy reduces the total investment cost including initial cost of machines and cost of reconfiguration.

scholarly journals An Optimization-Based Framework to Define the Probabilistic Design Space of Pharmaceutical Processes with Model Uncertainty

Processes ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 96 ◽  
Author(s):  
Daniel Laky ◽  
Shu Xu ◽  
Jose Rodriguez  ◽  
Shankar Vaidyaraman  ◽  
Salvador García Muñoz  ◽  
...  
Keyword(s):  
Process Parameters ◽  
Model Uncertainty ◽  
Design Space ◽  
Probabilistic Design ◽  
Industrial Case Study ◽  
Simulation Based ◽  
Critical Process Parameters ◽  
Input Variables ◽  
Critical Process

To increase manufacturing flexibility and system understanding in pharmaceutical development, the FDA launched the quality by design (QbD) initiative. Within QbD, the design space is the multidimensional region (of the input variables and process parameters) where product quality is assured. Given the high cost of extensive experimentation, there is a need for computational methods to estimate the probabilistic design space that considers interactions between critical process parameters and critical quality attributes, as well as model uncertainty. In this paper we propose two algorithms that extend the flexibility test and flexibility index formulations to replace simulation-based analysis and identify the probabilistic design space more efficiently. The effectiveness and computational efficiency of these approaches is shown on a small example and an industrial case study.

scholarly journals On systematically building a controlled natural language for functional requirements

2021 ◽  
Vol 26 (4) ◽  
Author(s):  
Alvaro Veizaga ◽  
Mauricio Alferez ◽  
Damiano Torre ◽  
Mehrdad Sabetzadeh ◽  
Lionel Briand
Keyword(s):  
Information System ◽  
Natural Language ◽  
Qualitative Methodology ◽  
Case Study Research ◽  
Empirical Evaluation ◽  
Functional Requirements ◽  
Industrial Case Study ◽  
Requirements Specifications ◽  
Financial Domain

AbstractNatural language (NL) is pervasive in software requirements specifications (SRSs). However, despite its popularity and widespread use, NL is highly prone to quality issues such as vagueness, ambiguity, and incompleteness. Controlled natural languages (CNLs) have been proposed as a way to prevent quality problems in requirements documents, while maintaining the flexibility to write and communicate requirements in an intuitive and universally understood manner. In collaboration with an industrial partner from the financial domain, we systematically develop and evaluate a CNL, named Rimay, intended at helping analysts write functional requirements. We rely on Grounded Theory for building Rimay and follow well-known guidelines for conducting and reporting industrial case study research. Our main contributions are: (1) a qualitative methodology to systematically define a CNL for functional requirements; this methodology is intended to be general for use across information-system domains, (2) a CNL grammar to represent functional requirements; this grammar is derived from our experience in the financial domain, but should be applicable, possibly with adaptations, to other information-system domains, and (3) an empirical evaluation of our CNL (Rimay) through an industrial case study. Our contributions draw on 15 representative SRSs, collectively containing 3215 NL requirements statements from the financial domain. Our evaluation shows that Rimay is expressive enough to capture, on average, 88% (405 out of 460) of the NL requirements statements in four previously unseen SRSs from the financial domain.

scholarly journals MODEL-BASED DESIGN OF AM COMPONENTS TO ENABLE DECENTRALIZED DIGITAL MANUFACTURING SYSTEMS

2021 ◽  
Vol 1 ◽  
pp. 2127-2136
Author(s):  
Olivia Borgue ◽  
John Stavridis ◽  
Tomas Vannucci ◽  
Panagiotis Stavropoulos ◽  
Harry Bikas ◽  
...  
Keyword(s):  
Additive Manufacturing ◽  
Manufacturing Systems ◽  
Production Systems ◽  
Data Generation ◽  
Production Networks ◽  
Model Based ◽  
Manufacturing Technologies ◽  
Am Processes ◽  
Final Consumer

AbstractAdditive manufacturing (AM) is a versatile technology that could add flexibility in manufacturing processes, whether implemented alone or along other technologies. This technology enables on-demand production and decentralized production networks, as production facilities can be located around the world to manufacture products closer to the final consumer (decentralized manufacturing). However, the wide adoption of additive manufacturing technologies is hindered by the lack of experience on its implementation, the lack of repeatability among different manufacturers and a lack of integrated production systems. The later, hinders the traceability and quality assurance of printed components and limits the understanding and data generation of the AM processes and parameters. In this article, a design strategy is proposed to integrate the different phases of the development process into a model-based design platform for decentralized manufacturing. This platform is aimed at facilitating data traceability and product repeatability among different AM machines. The strategy is illustrated with a case study where a car steering knuckle is manufactured in three different facilities in Sweden and Italy.

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