An investigation of the effect of machine flexibility and number of part families on system performance

Nandkeolyar, Udayan; Christy, David P.

doi:10.1080/00207549208942909

Cited by 17 publications

(12 citation statements)

References 1 publication

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The number of product families or product lines (e.g., car makes and models) (Moreno and Terwiesch, 2017;Nandkeolyar and Christy, 1992;Sardar and Lee, 2015;Shah et al, 2017;Wong and Eyers, 2011;Zhang and Tseng, 2007) Varies but aggregates measures of the number of product families, the number of components, customization of products, average parts per BOM, the degree of modularity, the ability to add new products, etc. (Blome et al, 2014;Caniato and Größler, 2015;Christensen et al, 2007;Eckstein et al, 2015;Hegde et al, 2005;Helkiö and Tenhiälä, 2013;Koh et al, 2005;Thomé, Sousa and Scavarda do Carmo, 2014;Tracey, 2004)…”

Section: Product Familiesmentioning

confidence: 99%

“…Productivity. Product variety led to decreased process productivity in every article that studied the PCproductivity relationship (Anderson and Sedatole, 2012;Aw and Lee, 2009;Berry and Cooper, 1999;Gollop, 1997;Nagarur and Azeem, 1999;Nandkeolyar and Christy, 1992;Silveira, 1998). Decreased productivity due to PC occurs due to the reduced line speeds, increased downtime, and increased number of process adjustments that come with producing a higher variety of products, especially on process lines (Berry and Cooper, 1999).…”

Section: 74mentioning

confidence: 99%

See 1 more Smart Citation

Product complexity and operational performance: A systematic literature review

Trattner

Hvam

Forza

et al. 2019

CIRP Journal of Manufacturing Science and Technology

View full text Add to dashboard Cite

 Users may download and print one copy of any publication from the public portal for the purpose of private study or research.  You may not further distribute the material or use it for any profit-making activity or commercial gain  You may freely distribute the URL identifying the publication in the public portal If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim.

show abstract

Section: Product Familiesmentioning

confidence: 99%

Section: 74mentioning

confidence: 99%

Product complexity and operational performance: A systematic literature review

Trattner

Hvam

Forza

et al. 2019

CIRP Journal of Manufacturing Science and Technology

View full text Add to dashboard Cite

show abstract

“…Page 8 of 47 International Journal of Operations and Production Management o n a l J o u r n a l o f O p e r a t i o n s a n d P r o d u c t i o n M a n a g Browne et al (1984) The ease of making the changes required to a given set of part types. Relation to labour (Francas et al 2011) Effect on system performance (Mohamed et al 2001;Nandkeolyar and Christy 1992) Koste and Malhotra (1999) The number and heterogeneity variety of operations a machine can execute without incurring high transition penalties or large changes in performance outcomes. Sethi and Sethi (1990) The various types of operations that the machine can perform without requiring a prohibitive effort in switching from one operation to another.…”

Section: Theme 3: Flexibility Typesmentioning

confidence: 99%

The flexibility of industrial additive manufacturing systems

Eyers

Potter

Gosling

et al. 2018

IJOPM

View full text Add to dashboard Cite

Purpose Flexibility is a fundamental performance objective for manufacturing operations, allowing them to respond to changing requirements in uncertain and competitive global markets. Additive manufacturing machines are often described as “flexible,” but there is no detailed understanding of such flexibility in an operations management context. The purpose of this paper is to examine flexibility from a manufacturing systems perspective, demonstrating the different competencies that can be achieved and the factors that can inhibit these in commercial practice. Design/methodology/approach This study extends existing flexibility theory in the context of an industrial additive manufacturing system through an investigation of 12 case studies, covering a range of sectors, product volumes, and technologies. Drawing upon multiple sources, this research takes a manufacturing systems perspective that recognizes the multitude of different resources that, together with individual industrial additive manufacturing machines, contribute to the satisfaction of demand. Findings The results show that the manufacturing system can achieve seven distinct internal flexibility competencies. This ability was shown to enable six out of seven external flexibility capabilities identified in the literature. Through a categorical assessment the extent to which each competency can be achieved is identified, supported by a detailed explanation of the enablers and inhibitors of flexibility for industrial additive manufacturing systems. Originality/value Additive manufacturing is widely expected to make an important contribution to future manufacturing, yet relevant management research is scant and the flexibility term is often ambiguously used. This research contributes the first detailed examination of flexibility for industrial additive manufacturing systems.

show abstract

“…In this study, we focus on six flexibility dimensions: machine, labor, material handling, mix, new product and modification. Machine, labor, and material handling flexibility were included because they are frequently studied in the literature (e.g., Gupta and Somers, 1992;Nandkeolyar and Christy, 1992;Malhotra and Ritzman, 1990) and also provide a base for the development of higher-level flexibility dimensions. Mix, new product, and modification flexibility were included because of their competitive importance in the market place, as evidenced by their frequent inclusion in the empirical flexibility research (e.g., Dixon, 1992;Suarez et al, 1995Suarez et al, , 1996Upton, 1995Upton, , 1997.…”

Section: The Flexibility Constructmentioning

confidence: 99%

Measuring dimensions of manufacturing flexibility

Koste

Malhotra

Sharma

2004

J of Ops Management

211

188

View full text Add to dashboard Cite

Even though many managers and academics have cited flexibility as a key competitive capability, efforts to measure and understand this complex construct continue. Consequently in this paper, we address the issue of manufacturing flexibility measurement, and then use these measures to better understand flexibility. Churchill's [J. Market. Res. 16 (1979) 64] paradigm is used to develop psychometrically sound measures for six oft-used dimensions of manufacturing flexibility: machine, labor, material handling, mix, new product, and modification. Previous research shows that each of these dimensions, in turn, is comprised of four elements. The resulting 24 scales (6 dimensions × 4 elements) demonstrate the desired properties of unidimensionality, reliability, and validity. We show further that the four elements of any given manufacturing flexibility dimension can be grouped into two conceptually separate factors representing "Scope" and "Achievability" of flexible responses. Scope and achievability factor scores can be used to compare a subset of firms with respect to their flexibility choices, and observe the trade-offs firms make both within and across flexibility dimensions. Along with scale development, establishing scope versus achievability relationships between flexibility elements provides a better basis for measuring and creating a holistic understanding of this complex concept.

show abstract

An investigation of the effect of machine flexibility and number of part families on system performance

Cited by 17 publications

References 1 publication

Product complexity and operational performance: A systematic literature review

Product complexity and operational performance: A systematic literature review

The flexibility of industrial additive manufacturing systems

Measuring dimensions of manufacturing flexibility

Contact Info

Product

Resources

About