Semiconductor Shortages and Vehicle Production and Prices

Krolikowski, Pawel; Naggert, Kristoph N.

doi:10.26509/frbc-ec-202117

Cited by 15 publications

(14 citation statements)

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“…Estimating the tyre force can be done in many ways, ranging from involving the tyre mechanics, involving the overall motion of the vehicle down to just use the wheel dynamics as stated in (1). Here we use the strategy of separating the force estimate from the estimate of tyre to road characteristics (given by the tyre models) and isolate the wheels from each other.…”

Section: Force Observer Designmentioning

confidence: 99%

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An effective tyre to road friction estimation applied to heavy vehicles

Sharifzadeh

Bruzelius

Jacobson

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Knowledge about the tyre to road friction is central to many vehicle functions as well as the overall performance of the vehicle. In this paper, a new real-time algorithm is presented for estimating the coefficient of friction using available on-board sensor information. A computationally efficient algorithm is presented, that reduces resources usage compared to previously published approaches. Issues connected to heavy vehicles and friction estimation is addressed, such as wind up of hub assembly and vehicle speed sensing. The performance of the algorithm is illustrated on data sets acquired from the test track recordings in winter conditions.

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Section: Force Observer Designmentioning

confidence: 99%

“…This shortage could cost the automotive industry as much as $ 110 billion dollars per year. 1,2 Considering that this fact could also affect the vehicle motion applications, it is crucial to focus on optimizing the real-time algorithms.…”

Section: Introductionmentioning

confidence: 99%

An effective tyre to road friction estimation applied to heavy vehicles

Sharifzadeh

Bruzelius

Jacobson

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…The COVID-19 pandemic caused the collapse of the automotive sector in 2020, stopping production and causing plummeting sales [4], and has not recovered yet in 2022 [5]. This situation also provoked a semiconductor crisis [5][6][7]: chip shortages are holding back vehicle production and challenging the "justin-time" management philosophy [8]. New competitors are entering the sector: China is an emerging market and is leading electric vehicle (EV) adoption [9], to the point where there are so many players that the Chinese government has vowed to consolidate them in larger brands through mergers [10].…”

Section: Introductionmentioning

confidence: 99%

Introducing the Electronic Knowledge Framework into the Traditional Automotive Suppliers’ Industry: From Mechanical Engineering to Mechatronics

et al. 2022

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The automotive sector is undergoing radical changes. New trends such as electrification, autonomous driving, connectivity, and car-sharing—to name a few—are disturbing the carmakers, which must satisfy their clients while meeting the increasingly strict environmental regulations. This pressure also falls on automotive parts suppliers, which now are asked to manufacture high-added-value integral systems, while struggling to keep a very adjusted price. As traditional automotive components evolve into electronic systems, suppliers must gain digital mastery to remain competitive. This paper presents different ways of introducing e-skills in a company and illustrates this with some examples from the Basque automotive industry. The aim is to encourage corporations to take the step towards digitalization, providing different options for them to choose the one that best suits their current scenario. For this study we have analyzed the literature and the press releases of the component manufacturers and interviewed staff from some of them. This research seeks to provide solutions so that the automotive sector remains competitive, as it is a strategic sector for the economy and employment.

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“…Owing to various reasons such as ongoing geo-political shifts, prevailing COVID-19 pandemic, supply chain specific phenomena such that shortage of semi-conductor chip across industries, it becomes imperative to investigate the interplay of production volume decision vis-a-vis product quality level (Ivanov, 2021;Krolikowski and Naggert, 2021). Further, price as a function of quality is another dimension that impacts production level and product quality level (Kian et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Product quality optimization vs production capacity optimization: an analytical perspective

Goswami

Daultani

2022

IJQRM

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PurposeThis study aims to devise generalized unconstrained optimization models for ascertaining the optimal level of product quality and production capacity level by modeling both product price and production cost as a function of product quality. Further, interrelations among investment for quality, product quality and production volume are considered. This study contributes toward the extant research, in that nuances related to price, production volume, and product quality are fused together such that two broad operational strategies of product quality optimization and production capacity optimization can be contrasted.Design/methodology/approachTo achieve the research objectives, the authors evolve unconstrained optimization models such that optimal product quality level and optimal production capacity level can be obtained employing the principles of differential calculus aimed at maximizing the manufacturer's profit. Specifically, nuances related to quality technology and efficiency, and quality loss cost has also been integrated in the integrated model. Thereafter, employing numerical analysis for a generalized product, the detailed workings of evolved models are demonstrated. The authors further carry out the sensitivity analysis to understand the impact of investment for quality onto the manufacturer's profit for both operational strategies.FindingsThe research demonstrates that the manufacturer would be better off adopting production capacity optimization strategy as an operational policy, as opposed to product quality optimization policy for the manufacturer's profit maximization. Further, considering the two operational strategies, the manufacturer does not obtain the highest possible theoretical profit when pertinent variables (product quality and production capacity) are set at highest possible theoretical level. This research discusses that in low-volume and high-margin products, it might be useful to adopt a product quality optimization strategy as a production capacity optimization strategy results in significantly high quality loss cost.Originality/valueThe findings of our study have a significant implication for industries such as steel-making, cement production, automotive industry wherein the conventional wisdom dictates that higher level of production capacity utilization always results in higher level of revenues. However, the authors deduce that beyond certain production capacity utilization, striving for higher utilization does not fetch additional profit. This work also adds to the extant research literature, in that it integrates the nuances of product quality, production volume and pricing in an integrative manner.

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Semiconductor Shortages and Vehicle Production and Prices

Cited by 15 publications

References 0 publications

An effective tyre to road friction estimation applied to heavy vehicles

An effective tyre to road friction estimation applied to heavy vehicles

Introducing the Electronic Knowledge Framework into the Traditional Automotive Suppliers’ Industry: From Mechanical Engineering to Mechatronics

Product quality optimization vs production capacity optimization: an analytical perspective

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