A review of cost estimation models for determining assembly automation level

Salmi, Anas; David, Pierre; Blanco, Eric; Summers, Joshua D.

doi:10.1016/j.cie.2016.06.007

Cited by 19 publications

(8 citation statements)

References 44 publications

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“…Ben-Arieh and Qian(2003) classified these into intuitive, analogical, parametric and analytical methods. In addition, these were broadly categorized into qualitative and quantitative approaches (Niazi et al , 2006; Caputo and Pelagagge, 2008; Layer et al , 2002; Salmi et al , 2016). These two categories were subdivided into different ways.…”

Section: Review Of Literaturementioning

confidence: 99%

“…This is because a cost estimation process determines the overall performances of manufacturing enterprises (Cavalieri et al , 2004; Wang et al , 2013). An overestimated product results in losses of business and goodwill in the market, whereas an underestimated one leads into financial losses to its enterprise (Salmi et al , 2016; H’mida et al , 2006; Niazi et al , 2006). Recent findings disclosed that only about 20% information is circulating in organizations in terms of structured and numeric data; however, the remainder 80% information is hidden in unstructured forms (Tseng and Chou, 2006; Feki et al , 2013).…”

Section: Introductionmentioning

confidence: 99%

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Integrating fuzzy case-based reasoning, parametric and feature-based cost estimation methods for machining process

Kasie

Bright

2021

JM2

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Purpose This paper aims to propose an intelligent system that serves as a cost estimator when new part orders are received from customers. Design/methodology/approach The methodologies applied in this study were case-based reasoning (CBR), analytic hierarchy process, rule-based reasoning and fuzzy set theory for case retrieval. The retrieved cases were revised using parametric and feature-based cost estimation techniques. Cases were represented using an object-oriented (OO) approach to characterize them in n-dimensional Euclidean vector space. Findings The proposed cost estimator retrieves historical cases that have the most similar cost estimates to the current new orders. Further, it revises the retrieved cost estimates based on attribute differences between new and retrieved cases using parametric and feature-based cost estimation techniques. Research limitations/implications The proposed system was illustrated using a numerical example by considering different lathe machine operations in a computer-based laboratory environment; however, its applicability was not validated in industrial situations. Originality/value Different intelligent methods were proposed in the past; however, the combination of fuzzy CBR, parametric and feature-oriented methods was not addressed in product cost estimation problems.

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Section: Review Of Literaturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Integrating fuzzy case-based reasoning, parametric and feature-based cost estimation methods for machining process

Kasie

Bright

2021

JM2

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“…A dedicated spreadsheet was developed with this aim, clustering the relevant information (Table 2 To answer the first research question (what are the most reliable cost analysis methods in the engineering design of forged components? ), an overview of the cost estimation methods was carried out based on the classification proposed by Niazi et al [19] and Salmi et al [20]. This classification was used to create the ground for the cost analysis in forged component design.…”

Section: Document Organizationmentioning

confidence: 99%

“…Several classification methods of cost approaches already exist in cost modelling literature. Salmi et al [20] proposed a classification method of cost approaches based on three aspects: (i) phase of applicability, (ii) granularity level, and (iii) approach type. The first classification reflects the design phase in which cost models are used: early and late design [25].…”

Section: Slr Framework: Analysis and Classificationmentioning

confidence: 99%

Key features and novel trends for developing cost engineering methods for forged components: a systematic literature review

Favi

Campi

Mandolini

et al. 2021

Int J Adv Manuf Technol

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Engineering design shows a growing interest in exploring cost analysis to anticipate manufacturing issues and integrate production aspects within the product development process. This research aims to highlight key elements (inputs, parameters, models) to accurately predict the cost of a forged part using a complete model, with important information that can be available during the design phase. For this purpose, a systematic literature review of existing engineering methodologies developed for cost analysis of forged parts (i.e., cost estimation, DtC, and ABC) was performed with characterizations of the different approaches for evaluating the most important topics related to this objective. As a result, the most important insights related to the aim of this review are provided: (i) among quantitative methods, analytical and parametric models are the most suitable approaches to develop a cost estimation, (ii) a cost model based on a linear equation supported by single or multiple variables seems to be the most accurate tool to establish a robust cost analysis in the design of forged components, and (iii) input parameters related to the material type and geometrical features are the most critical cost-drivers in the cost assessment. Moreover, this review contributes to identifying emerging applications and obsolete topics, providing the ground to investigate unexplored areas relevant to future research.

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“…Summaries and reviews have for example been published by [10][11][12][13]. Based on the cost models review done by Jönsson [13] and later extended by Ståhl [12], an overview of cost models available for assessing manufacturing has been compiled ( Table 1).…”

Section: Manufacturing Cost Calculationmentioning

confidence: 99%

Machinability and manufacturing cost in low-lead brass

Schultheiss

Windmark

Sjöstrand

et al. 2018

Int J Adv Manuf Technol

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Today, commercially used brasses commonly contain 2 to 4 wt% lead. As the availability of low-lead and lead-free brass increases, there are environmental incentives for investigating the consequences of replacing the lead-containing brasses with lead-free equivalents. Generally, lead-free brass is expected to have a lower machinability than its lead-alloyed counterpart, implying a higher manufacturing cost. Thus, the aim of this study has been to quantify the added manufacturing cost by replacing a standard brass alloy with a low-lead alternative. This was done through a case study performed at a Swedish SME which replaced CuZn39Pb3 (3.3 wt% Pb) with low-lead CuZn21Si3P (< 0.09 wt% lead) for a select part. Since CuZn21Si3P is almost twice as expensive as CuZn39Pb3, the material cost was found to have a substantial influence on the manufacturing cost. Additionally, the lower machinability implied a longer cycle time and higher losses while machining CuZn21Si3P, resulting in a 77% overall increase in manufacturing cost when using the low-lead material. Arguably, the difference in material cost, and thus manufacturing cost, may decrease over time making production of low-lead and lead-free brass products a viable option, especially when considering the environmental incentive for decreasing the amount of lead in circulation.

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A review of cost estimation models for determining assembly automation level

Cited by 19 publications

References 44 publications

Integrating fuzzy case-based reasoning, parametric and feature-based cost estimation methods for machining process

Integrating fuzzy case-based reasoning, parametric and feature-based cost estimation methods for machining process

Key features and novel trends for developing cost engineering methods for forged components: a systematic literature review

Machinability and manufacturing cost in low-lead brass

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