Search results

The purpose of this paper is to present an interactive system to enable product design for disassembly and to offer robust and quick design solutions based on designers’ input.

The system utilizes an interactive questionnaire to communicate with the designer. The questionnaire is in the form of binary questions (Yes/No) and design questions that would enable the system to learn the objectives of the design. Solutions are based on a CAD supported design platform. The efficiency of each design is calculated using disassembly time as the metric of measurement using motion-time measurement (MTM). The designer would be able to make an informed decision with respect to component functionality, ease of disassembly and disassembly time. The paper presents a detailed framework and structure of this system.

The value of the system is corroborated by means of a case study of an actual product design. The system is structured to offer multiple solutions to a design problem so as to enable the designer to choose the option that best serves their needs.

This novel interactive system would accept customers’ design preferences as input and offer multiple solutions in order to solve the design problem. Process time is directly calculated using the MTM system of measurement by converting design features into time measurement units. Disassembly time can then be easily converted into disassembly cost by using standard conversion rates. The value to designers is obvious.

In the increasingly competitive global economy, survival of an industry depends on catering to customer needs by quickly producing quality products and providing quality service at an affordable price. In production, or in service, ergonomic considerations have manifested themselves in two distinct, yet related, domains. Focuses on the humans who contribute to product manufacture/service. It is frequently advocated that since humans are unreliable and less consistent, compared to machines, they are primarily responsible for lowering product and service quality. Ergonomic considerations, which, ironically, can improve human performance, are paid lip service during manufacturing system design. Compounding the problem is the current inability of most ergonomists to make ergonomic recommendations that do not run counter to the productivity and quality goals of system designers. Addresses these two issues by illustrating, through four case studies, the relationship between quality and variables that affect human performance.

Inspection is an activity that controls the outgoing product quality and involves search, detection and measurement or diagnosis. Traditionally, inspection tasks have been allocated to humans. Attempts to automate industrial inspection in order to eliminate errors and alleviate monotony have faced difficulties due to technological limitations and/or prohibitive implementation costs. An occasional compromise is partial automation (hybrid inspection). Reviews published research in manual, hybrid and automated inspection to understand the current research status.

This paper seeks to present a methodology to design products for disassembly. This would facilitate end‐of‐life product disassembly with a view to maximizing material usage in the supply chain at a low cost to the environment.

The methodology presented in the paper draws on fundamentals related to task analysis and motion time measurement. The methodology was practically applied to disassemble several different consumer products with significant savings in time.

Several improvements in product design resulted from various perspectives including functionality, assembly, aesthetics and disassembly.

The paper identifies several areas of future research including design optimization and designing work fixtures for disassembly.

This work presents in part an improvement in current methodologies related to disassembly as well as original work based on task analysis and suggestion of design alternatives. The paper is therefore valuable to practitioners and researchers alike.

Seeks to determine whether hybrid inspection performance is superior to manual performance in a generic manufacturing setup. Explains the design of an experiment to achieve this comparison. Results include the fact that the hybrid method took substantially less time and caused fewer inspection errors. Notes that cost factors would need to be carefully considered before selection of a preferred method but that ultimately the hybrid method should be the logical choice.

Examines the product design and manufacturing literature to understand why consumer products of daily use often fail to provide the intended function to users’ satisfaction. The review shows that the bulk of published literature addressing functionality and functional representation deals with mechanical systems design, and there are issues that directly affect the consumer that are yet to be accommodated in current research in functional representation. The literature also reveals that very few of the product design support systems have been tested on real design cases, or have been developed and tested using real designers in manufacturing environments – this issue needs serious consideration if efficient designer aids are to be developed in the future. Also, there is relatively little that has been done to develop tools to evaluate alternative design solutions. It is also apparent from this review that the main research focus has been on providing function, rather than on ensuring function in a product that is eventually manufactured.

D‐TRAK — the self‐assembly kit form conveyoring system launched last year, now has another new dimension. Not only is the tracking completely adjustable, but now the framework has been re‐designed to accommodate any changes in a production line.

The paper aims to study the purpose of using social networking sites (SNSs) among the research scholars of Panjab University (PU), Chandigarh and Kurukshetra University (KU), Kurukshetra in India.

The study was conducted through a questionnaire administered to the research scholars in two universities in India. The questionnaire was distributed among the randomly selected research scholars of the two universities in India.

It is observed that the majority of the research scholars from both the universities are aware of the SNSs and have their accounts on them. Facebook is the most popularly accessed SNS both in PU (83 per cent) and KU (77 per cent) followed by Orkut (46 per cent) in PU and Research Gate (38 per cent) at KU. The majority of the research scholars who use SNSs for various purposes from both the universities are in the age group of 20-30 years. 46 per cent of the researchers surveyed from PU do not have any publications and only 5 per cent have more than ten publications so far, whereas 54 per cent research scholars do not have any publications to their credit in KU.

The study is limited to two universities in India, namely PU, Chandigarh and KU, Kurukshetra. There are a total of 75 teaching departments at PU and 46 departments at KU. The present study is limited to 20 departments each of both the universities. The PU has approximately 500 research scholars and KU has approximately 450 research scholars. The representative sample was formed by taking approximately 15 per cent of respondents (i.e. 65) from 20 departments of each university. 130 questionnaires were received and analyzed for the present study.

The paper attempts to find out the awareness and use of SNSs among the research scholars perusing their research in different disciplines in PU, Chandigarh and KU, Kurukshetra in India. It is the first of its kind survey to find out the purpose of using the SNSs by the researchers of this region.

The purpose of this paper is to investigate and quantify the impact of product complexity, including architectural complexity, on operator learning, productivity and quality performance in both assembly and disassembly operations. This topic has not been extensively investigated in previous research.

An extensive experimental campaign involving 84 operators was conducted to repeatedly assemble and disassemble six different products of varying complexity to construct productivity and quality learning curves. Data from the experiment were analysed using statistical methods.

The human learning factor of productivity increases superlinearly with the increasing architectural complexity of products, i.e. from centralised to distributed architectures, both in assembly and disassembly, regardless of the level of overall product complexity. On the other hand, the human learning factor of quality performance decreases superlinearly as the architectural complexity of products increases. The intrinsic characteristics of product architecture are the reasons for this difference in learning factor.

The results of the study suggest that considering product complexity, particularly architectural complexity, in the design and planning of manufacturing processes can optimise operator learning, productivity and quality performance, and inform decisions about improving manufacturing operations.

While previous research has focussed on the effects of complexity on process time and defect generation, this study is amongst the first to investigate and quantify the effects of product complexity, including architectural complexity, on operator learning using an extensive experimental campaign.