Production breaks and the learning curve: The forgetting phenomenon

Jaber, Mohamad Y.; Bonney, Maurice

doi:10.1016/0307-904x(95)00157-f

Cited by 173 publications

(106 citation statements)

References 5 publications

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“…7,15 It too has a consistent slope and, while performance skill may eventually hit zero, it is more likely to also follow an (inverse) power function in which the drop-off in skill slows with time to some asymptote of functioning still above that of a novice. 7 For complex skills, the drop-off may be dismayingly steep. 16,17 Consider an EM example.…”

Section: Forgetting Curvesmentioning

confidence: 99%

“…Time spent in refresher training is represented as a bolus at a point in time, although more sophisticated methods can be used. 7 For the vertical axis representing degree of skill, it is ideal if these units are the same for both the learning and the forgetting portions. Ideally, the same measure of performance is used all along the scale from novice to expert so that valid developmental comparisons can be made on an intraindividual basis.…”

Section: Experience Curvesmentioning

confidence: 99%

“…[4][5][6] We then show how these concepts can be united to make up experience curves. 7 Our goal in writing this concept article is to promote a longitudinal approach to how these sorts of skills could be practiced in emergency medicine (EM) simulation environments. This framework makes explicit the need to avoid a piecemeal, episodic approach to skill practice and assessment in favor of more emphasis on durability of competence over time.…”

mentioning

confidence: 99%

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Experience Curves as an Organizing Framework for Deliberate Practice in Emergency Medicine Learning

Pusic

Kessler

Szyld

et al. 2012

Academic Emergency Medicine

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Deliberate practice is an important skill-training strategy in emergency medicine (EM) education. Learning curves display the relationship between practice and proficiency. Forgetting curves show the opposite, and demonstrate how skill decays over time when it is not reinforced. Using examples of published studies of deliberate practice in EM we list the properties of learning and forgetting curves and suggest how they can be combined to create experience curves: a longitudinal representation of the relationship between practice, skill acquisition, and decay over time. This framework makes explicit the need to avoid a piecemeal, episodic approach to skill practice and assessment in favor of more emphasis on what can be done to improve durability of competence over time. The authors highlight the implications for both educators and education researchers.ACADEMIC EMERGENCY MEDICINE 2012; 19:1476-1480 by the Society for Academic Emergency Medicine E mergency physicians (EPs) intervene cognitively or physically to ameliorate any of a number of health conditions ranging from simple laceration repairs to managing massive multitrauma disaster situations. One of the fundamental tasks in medical education is the teaching and learning of these cognitive and kinesthetic skills. To gain these skills, novices use a number of instructional strategies, ranging from mental imagery to practicing on high-fidelity simulators. Some of these skills are amenable to deliberate practice, in which the learner repeats the given skill with informative feedback, in the hopes of progressive improvement to a recognized level of mastery.1,2 Once mastery is achieved, issues of skill retention supervene.3 Skills not practiced can degrade at a startling rate.In this article, we present experience curves, which are combinations of learning and forgetting curves that can demonstrate a single, longitudinal representation of knowledge and skill acquisition and decay over time. We will focus on discrete skills that are amenable to deliberate practice as defined by Ericsson.1 Deliberate practice consists of repetition with tailored feedback, is effortful, and is best done over an extended period. Examples could be cognitive (interpreting a radiograph, doing a calculation, applying knowledge to a medical decision, etc.), kinesthetic (performing a cricothyroidotomy), or mixed (leading a resuscitation).Informed by selected research in the medical and general education literatures, we first describe the educational properties of learning curves and forgetting curves. [4][5][6] We then show how these concepts can be united to make up experience curves.7 Our goal in writing this concept article is to promote a longitudinal approach to how these sorts of skills could be practiced in emergency medicine (EM) simulation environments. This framework makes explicit the need to avoid a piecemeal, episodic approach to skill practice and

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Section: Forgetting Curvesmentioning

confidence: 99%

Section: Experience Curvesmentioning

confidence: 99%

mentioning

confidence: 99%

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Experience Curves as an Organizing Framework for Deliberate Practice in Emergency Medicine Learning

Pusic

Kessler

Szyld

et al. 2012

Academic Emergency Medicine

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“…The strongest memory in a long period of time, then that person will be able to remember it. According to Jaber and Bonney [20], the time to produce the first unit in the cycle i predicted from Wright learning curve so that the intercept forgetting curve. To calculate the forgetting curve with LFCM models, the equation below can be used: (12) 3.3 Scheduling Scheduling is the process of allocating resources to select a set of work tasks in a certain period.…”

Section: S Modelmentioning

confidence: 99%

Implementation Learning and Forgetting Curve to Scheduling in Garment Industry

Badri

Deros

Syahri

et al. 2016

IOP Conf. Ser.: Mater. Sci. Eng.

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Abstract. The learning curve shows the relationship between time and the cumulative number of units produced which using the mathematical description on the performance of workers in performing repetitive works. The problems of this study is level differences in the labors performance before and after the break which affects the company's production scheduling. The study was conducted in the garment industry, which the aims is to predict the company production scheduling using the learning curve and forgetting curve. By implementing the learning curve and forgetting curve, this paper contributes in improving the labors performance that is in line with the increase in maximum output 3 hours productive before the break are 15 unit product with learning curve percentage in the company is 93.24%. Meanwhile, the forgetting curve improving maximum output 3 hours productive after the break are 11 unit product with the percentage of forgetting curve in the company is 92.96%. Then, the obtained 26 units product on the productive hours one working day is used as the basic for production scheduling.

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“…Salameh et al (1993) considered a limited manufacture stock form (Production inventory model) with the outcome of human knowledge and also discussed variable demand rate and learning in time to optimize the cost. Jaber et al (1996a) explained the theory of forgetting using manufacture breaks, learning curve and discussed optimal manufacture amount and minimized the whole stock price. Jaber et al (1996b) worked on assuming the optimal lot sizing using the condition of bounded learning cases and focused on economic order quantity (EOQ) and minimization of the whole stock cost by the help of learning curves.…”

Section: Introductionmentioning

confidence: 99%

Effects of learning on retailer ordering policy for imperfect quality items with trade credit financing

Jayaswal¹,

Sangal²,

Mittal³

et al. 2019

10.5267/j.uscm

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Learning curves monitor the performance of workers for the given new task as well as it is a mathematical representation of the same learning process which can be analyzed after frequent repetitions. Now-a-days learning curve is a promotion effective tool for management concern with designing and controlling the process of imperfect production and redesigning unbalanced business operations in the production of goods or services related to scheduling, uncontrolled inventory management, quality management as well as inspection. Learning effect has direct impact in calculation of profit or loss. Generally, a business seller, in order to increase his sale prefers to lend his products to buyers for a definite period of time. There is no penalty before or during this definite time period however after the duration of lending time period is over, he will assign some extra charges. For this action, seller offers a trade credit financing period to his buyer. Assuming when buyer receives a lot he separates the defective and non-defective items by a screening process and defective items are then sold at a discounted price. The percentage of defective items decreases per lot according to learning curve. Seller too plans which condition is beneficial for good co-ordination of retailers and analysts. Different cases are explained broadly in this model to get maximum profit. In this paper, a fiscal construction feature model for imperfect quality items with trade credit policy is analyzed under the effects of learning. Total profit function per cycle has been derived with the help of involvement of different costs and related parameters for the retailers and a numerical example given ahead shows the verification of results. The impacts of key parameters of the model are studied by sensitivity analysts to deduce managerial insights.ensee Growing Science, Canada by the authors; lic 9 © 201

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Production breaks and the learning curve: The forgetting phenomenon

Cited by 173 publications

References 5 publications

Experience Curves as an Organizing Framework for Deliberate Practice in Emergency Medicine Learning

Experience Curves as an Organizing Framework for Deliberate Practice in Emergency Medicine Learning

Implementation Learning and Forgetting Curve to Scheduling in Garment Industry

Effects of learning on retailer ordering policy for imperfect quality items with trade credit financing

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