Proper constraint as a design principle for assemblies

Whitney, Daniel E.

doi:10.1108/01445150810863699

Cited by 3 publications

(3 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some research on the factors that influenced the performance of ecotourism and the level of tourist arrivals to the ecotourism area, such as Bezzina and Grima (2012); Binion and Chen (2017), Shimotani et al (2016); Suhr and Rubeša (2013); Whitney (2008); Behm et al (2000); Cheng et al (2002); Njoroge et al (2017); Tucker and Lean (2003); Zhang et al (2002). Those research studies examined the effect of Quality of Local Population on the Performance of Ecotourism.…”

Section: Introductionmentioning

confidence: 99%

Modeling of tourists, local population, natural and cultural resources toward ecotourism product (case study in Seagrass Trikora Conservation Area)

Mulyadi

2019

SBR

View full text Add to dashboard Cite

Purpose The purpose of this study is to investigate the relationship between local population, natural and cultural resources on tourist quality an ecotourism product in Seagrass Trikora Conservation Area, Bintan Regency and Riau Island. Design/methodology/approach The research model portrayed in this case consists of three variables (tourists, local population and resources); these variables try to describe how ecotourism in Riau Island can be developed. This study is based on a survey conducted in June 2015 of 200 Indonesian citizens and residents. List contains 900 potential participants that were filtered from numerous public sources and from the researchers’ professional and social contacts. The interviewers were contacted to alert them to participate in the survey. A total of 200 completed responses were received within 10 weeks of survey, and 200 responses were successfully collected. These responses are analyzed and presented in this research. Findings This study found that higher quality of the local population, natural resources and cultural resources would have an impact on improving ecotourism quality. On the other hand, higher ecotourism quality would be able to improve the performance of ecotourism. The implications of this research contributed to the development of ecotourism in the Riau Island: improving the quality of the surrounding population, i.e. in the improvement of non-formal education of the population capable of supporting ecotourism; improvement of material and non-material quality of the ecotourism area; and maintenance of the natural resources of the ecotourism area. Originality/value This research tried to sort natural and cultural resources into two different things: natural resources were measured by specific activities, biodiversity protection, ecology maintenance and travel involvement in natural landscape and cultural resources were measured by ensuring cultural integrity, ensuring the social coherence of communities and maintaining cultural possibilities. Thus, the originality of this research lied in the use of two separate variables of natural resources and cultural resources in the performance of ecotourism. Separation of variables of ecotourism quality and performance of ecotourism became the second originality in this study. This study aimed to examine the effects of quality of local population (X1), natural resources (X2) and cultural resources (X3) on ecotourism quality (Y1), and its impact on Performance of Ecotourism (Y2), comprehensively.

show abstract

Section: Introductionmentioning

confidence: 99%

Modeling of tourists, local population, natural and cultural resources toward ecotourism product (case study in Seagrass Trikora Conservation Area)

Mulyadi

2019

SBR

View full text Add to dashboard Cite

show abstract

“…Long and Hu (1998) extend the analysis model by incorporating position variations of fixture locators into the model. Whitney (2008) presents proper constraints as a way to support the goal of placing key parts in particular geometric relationship with respect to one another so that a DFC can deliver KCs unambiguously. Merkley (1998) recognizes the need to include covariance in statistical FEAs when random variables are used for input.…”

Section: Introductionmentioning

confidence: 99%

Variation propagation modeling and analysis at preliminary design phase of multi‐station assembly systems

Wang

Ceglarek

2009

Assembly Automation

View full text Add to dashboard Cite

PurposeDimensional variation management is a major challenge in multi‐station sheet metal assembly processes involving complex products such as automotive body and aircraft fuselage assemblies. Very few studies have explored it at a preliminary design phase taking into consideration effects of part deformation on variation propagation, since early design phase involves the development of imprecise design models with scant or incomplete product and process knowledge. The objective of this paper is to present a variation model which can be built into the preliminary design phase taking into consideration all of the existing interactions between flexible parts and tools in multi‐station sheet metal assembly process.Design/methodology/approachThe paper addresses this problem by first, presenting a beam‐based product and process model which shares the same data structure of the B‐Rep CAD models, and therefore can be embedded in CAD systems for automatic product skeletal design; second, determining the influence of part deformation, for various, differing joining and releasing schemes, on variation propagation; and third, utilizing this information to generate a vector‐based variation propagation model for multistation sheet metal assemblies.FindingsThis paper presents a beam‐based product and process model which shares the same data structure of the B‐Rep CAD models, and therefore can be embedded in CAD systems for automatic product skeletal design; determines the influence of part deformation, for various, differing joining and releasing schemes, on variation propagation; and utilizes this information to generate a vector‐based variation propagation model for multistation sheet metal assemblies.Originality/valueA truck cab assembly is presented to demonstrate the advantages of the proposed model over the state‐of‐the‐art approach used in industry for sheet metal assemblies.

show abstract

“…Substantial studies of the tolerance analysis and synthesis have been conducted (Singh et al, 2005;Shen et al, 2008;Shao et al, 2008). Whitney (2008) found that some designs required tight tolerances on the over-constrained degrees of freedom and most tolerance analysis software did not test designs for their state of constraint and might yield incorrect answers. The tolerance stack-up methods can be categorized into three types that are the worst-case method, the root-sum-square (RSS) method, and the statistical modeling method.…”

Section: Introductionmentioning

confidence: 99%

An optimal tolerance allocation model for assemblies with consideration of manufacturing cost, quality loss and reliability index

Huang

Shiau

2009

Assembly Automation

View full text Add to dashboard Cite

Purpose -The purpose of this paper is to provide an optimal tolerance allocation model for assemblies with consideration of the manufacturing cost, the quality loss, the design reliability index with various distributions to enhance existing models. Results of two case studies are presented. Design/methodology/approach -The paper develops a model with consideration of the manufacturing cost, the Taguchi's asymmetric quadratic quality loss and the design reliability index for the optimal tolerance allocation of assemblies. The dimensional variables in normal distributions are initially used as testing and compared with the data from the prior researches. Then, the dimensional variables in lognormal distributions with the mean shift and the correlation are applied and investigated. Findings -The results obtained based on a lognormal distribution and a normal distribution of the dimension are similar, but the tolerance with a lognormal distribution is little smaller than that with a normal distribution. The result of the reliability with the lognormal distribution obtained by the Monte-Carlo is higher than that with a normal distribution. This paper shows that effects of the mean shift, the correlation coefficient and the replacement cost on the cost are significant and designers should pay attention to them during the tolerance optimization. The optimum tolerances of components of a compressor are recommended.Research limitations/implications -The model is limited to the dimensions of components with the normal distribution and lognormal distributions. The implication should be enhanced with more data of dimension distributions and cost of assembly components. Practical implications -Two case studies are presented. One is an assembly of two pieces and another is a compressor with many components. Originality/value -This model provides an optimal tolerance allocation method for assemblies with the lowest manufacturing cost, the minimum quality loss, and the required reliability index for the normal distribution and lognormal distribution.

show abstract

Proper constraint as a design principle for assemblies

Cited by 3 publications

References 3 publications

Modeling of tourists, local population, natural and cultural resources toward ecotourism product (case study in Seagrass Trikora Conservation Area)

Modeling of tourists, local population, natural and cultural resources toward ecotourism product (case study in Seagrass Trikora Conservation Area)

Variation propagation modeling and analysis at preliminary design phase of multi‐station assembly systems

An optimal tolerance allocation model for assemblies with consideration of manufacturing cost, quality loss and reliability index

Contact Info

Product

Resources

About