By Mohamad Y. Jaber
Written through overseas individuals, studying Curves: concept, versions, and functions first attracts a studying map that exhibits the place studying is concerned inside of enterprises, then examines the way it could be sustained, perfected, and speeded up. The e-book experiences empirical findings within the literature by way of diverse resources for studying and partial checks of the stairs that make up the particular studying strategy contained in the studying curve. often, books on studying curves have targeted both on price accounting or creation making plans and keep an eye on. In those books, the training curve has been handled as a forecasting software. This ebook synthesizes present study and offers a transparent photograph of organizational studying curves. It explores how firms increase different measures of organizational functionality together with caliber, stock, and productiveness, then appears to be like contained in the studying curve to figure out the particular approaches during which firms research.
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Extra info for Learning Curves: Theory, Models, and Applications (Industrial Innovation)
Costing, technological growth and generalized learning curves. Operations Research Quarterly 25(3): 487–491. , 1983. Learning curves and lot sizing for independent and dependent demand. Journal of Operations Management 4(1): 73–83. , 1993. Link sales training and product life cycles. Industrial Marketing Management 22(3): 239–245. , 1994. Linking experience, product life cycle, and learning curves: Calculating the perceived value price range. Industrial Marketing Management 23(3): 221–228. , 1992.
Scholars have frequently used the power curve to model this relationship in manufacturing contexts. In these models, the logarithm of unit cost decreases linearly as a function of the logarithm of cumulative number of units produced (Yelle 1979). ” Scholars have extended the power curve by incorporating forgetting (recent experience matters more than older experience) and learning from others (transfer of experience). For an overview of forgetting and learning from others, see Argote (1999). This chapter focuses on learning from own experience.
When a plant is scaling up production, the production system faces significant challenges and new situations. Factory personnel need to figure out how to solve such challenges during scale-up. Mishina’s experience variable captures the notion of “learning by new experiences” or “learning by stretching” (Mishina 1999; Lapré et al. 2000). Only two studies have compared learning curve estimations with all three measures of experience. Interestingly, both studies concluded that maximum volume was the best measure.