Production decision making considering dual material types and setup time uncertainty

Over the past three years, cinematic virtual reality (CVR) has emerged as a form of media storytelling that takes advantage of the immersive properties of VR technology. However, as a practice it poses a number of challenges for the writer–director used to controlling the frame through which the viewer experiences the narrative. This research outlines the making of Entangled (a live-action, stereoscopic, VR experience incorporating ambisonic audio) and reflects on concept development and production decision-making with reference to the emerging body of academic knowledge about cinematic VR, in particular ideas about the position of the viewer and the nature of narration. The research addresses some of the gaps in knowledge in these areas, reconciling theoretical positions with a deep understanding of the realities of production processes.

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A Rational Framework for Production Decision Making in Blood Establishments

Journal of Integrative Bioinformatics ◽

10.1515/jib-2012-204 ◽

2012 ◽

Vol 9 (3) ◽

pp. 69-79 ◽

Cited By ~ 2

Author(s):

Augusto Ramoa ◽

Salomé Maia ◽

Anália Lourenço

Keyword(s):

Data Mining ◽

Decision Making ◽

Quality Management System ◽

Analysis Software ◽

Production Chain ◽

Use Of Data ◽

Production Strategies ◽

Definition Of ◽

General Operation ◽

Production Decision

Summary SAD_BaSe is a blood bank data analysis software, created to assist in the management of blood donations and the blood production chain in blood establishments. In particular, the system keeps track of several collection and production indicators, enables the definition of collection and production strategies, and the measurement of quality indicators required by the Quality Management System regulating the general operation of blood establishments.This paper describes the general scenario of blood establishments and its main requirements in terms of data management and analysis. It presents the architecture of SAD_BaSe and identifies its main contributions. Specifically, it brings forward the generation of customized reports driven by decision making needs and the use of data mining techniques in the analysis of donor suspensions and donation discards.

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Transregional Enterprise Input-Output Model and Its Application in Production Decision-Making

2008 ISECS International Colloquium on Computing, Communication, Control, and Management ◽

10.1109/cccm.2008.46 ◽

2008 ◽

Cited By ~ 1

Author(s):

Jingjun Li ◽

Rencheng Tong ◽

Yupeng Wang

Keyword(s):

Decision Making ◽

Input Output ◽

Production Decision

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Dairy Supply and Factor Demand Response to Output Price Risk: An Econometric Assessment

Northeastern Journal of Agricultural and Resource Economics ◽

10.1017/s0899367x00001951 ◽

1989 ◽

Vol 18 (2) ◽

pp. 103-108 ◽

Cited By ~ 5

Author(s):

Yir-Hueih Luh ◽

Spiro E. Stefanou

Keyword(s):

Decision Making ◽

Expected Utility ◽

Price Risk ◽

Demand Functions ◽

Output Price ◽

Price Series ◽

Factor Demand ◽

Variable Factor ◽

Production Decision ◽

Econometric Assessment

The model of production decision making for the expected utility maximizing firm under output price uncertainty is applied to a panel Pennsylvania dairy operators. The model generalized duality implemented in this paper has the advantage of generating a system of supply and variable factor demand functions that consistently account for the presence of output price risk. The application to Pennsylvania dairy operators indicates that output price risk measured by the second and third moments of individual operators’ historical output price series is not an important factor in production decision making. In addition to not maximizing expected utility, these operators are not expected profit maximizers.

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