scholarly journals Pricing during Disruptions: Order Variability versus Profit

2020 ◽  
Author(s):  
Xiaojing Feng ◽  
Ying Rong ◽  
Zuo‐Jun Max Shen ◽  
Lawrence V. Snyder
Keyword(s):  
Order Variability

scholarly journals Studying bright variable stars with the Multi-site All-Sky CAmeRA (MASCARA)

2018 ◽  
Vol 617 ◽  
pp. A32 ◽  
Author(s):  
O. Burggraaff ◽  
G. J. J. Talens ◽  
J. Spronck ◽  
A.-L. Lesage ◽  
R. Stuik ◽  
...  
Keyword(s):  
Variable Stars ◽  
Eclipsing Binaries ◽  
Light Curves ◽  
Previous Record ◽  
La Palma ◽  
Powerful Means ◽  
New Variables ◽  
Candidate Variable ◽  
Order Variability

Context. The Multi-site All-Sky CAmeRA (MASCARA) aims to find the brightest transiting planet systems by monitoring the full sky at magnitudes 4 < V < 8.4, taking data every 6.4 s. The northern station has been operational on La Palma since February 2015. These data can also be used for other scientific purposes, such as the study of variable stars. Aims. In this paper we aim to assess the value of MASCARA data for studying variable stars by determining to what extent known variable stars can be recovered and characterised, and how well new, unknown variables can be discovered. Methods. We used the first 14 months of MASCARA data, consisting of the light curves of 53 401 stars with up to one million flux points per object. All stars were cross-matched with the VSX catalogue to identify known variables. The MASCARA light curves were searched for periodic flux variability using generalised Lomb–Scargle periodograms. If significant variability of a known variable was detected, the found period and amplitude were compared with those listed in the VSX database. If no previous record of variability was found, the data were phase folded to attempt a classification. Results. Of the 1919 known variable stars in the MASCARA sample with periods 0.1 < P < 10 days, amplitudes >2%, and that have more than 80 h of data, 93.5% are recovered. In addition, the periods of 210 stars without a previous VSX record were determined, and 282 candidate variable stars were newly identified. We also investigated whether second order variability effects could be identified. The O’Connell effect is seen in seven eclipsing binaries, of which two have no previous record of this effect. Conclusions. MASCARA data are very well suited to study known variable stars. They also serve as a powerful means to find new variables among the brightest stars in the sky. Follow-up is required to ensure that the observed variability does not originate from faint background objects.

Order variability in perishable product supply chains

2017 ◽  
Vol 260 (1) ◽  
pp. 93-107 ◽  
Author(s):  
Stefan Minner ◽  
Sandra Transchel
Keyword(s):  
Supply Chains ◽  
Perishable Product ◽  
Order Variability

Conversation and Grammar

2006 ◽  
Vol 13 ◽  
pp. 235-261
Author(s):  
Haeyeon Kim
Keyword(s):  
Social Action ◽  
Reported Speech ◽  
Research Topics ◽  
Language Functions ◽  
Basic Assumptions ◽  
Turn Taking ◽  
Interactional Functions ◽  
The Relationship ◽  
Korean Linguistics ◽  
Order Variability

Abstract. The last decade has seen considerable research on conversation and grammar, influenced by the conversation-analytic research of Sacks et al. (1974). Inspired by that line of research, some Korean linguists have examined conversation by adopting the assumptions and methodology of conversation analysis (CA) into discourse analysis. This study introduces basic assumptions and research topics relating to CA, and explores the possibility of adopting CA methodology into dis-course analysis in Korean linguistics. This paper first provides a brief overview of basic assumptions, methodology, and major research topics of CA and the development of conversation-analytic dis-course studies. Then it provides a brief overview of some major findings and research topics in the interaction-based studies which have dealt with conversational data in Korean linguistics in terms of: (i) turn-taking, turn-constructional units, and turn increments, (ii) interactional functions of certain clausal connectives and sentence-ending suffixes, and (iii) other interaction-based studies on such topics as repair, demonstratives, reported speech, and so on. This research discusses how interaction-based research can provide a new way of viewing language functions; it explores: (i) turn-taking and co-construction; (ii) word-order variability, turn increments, repair, and retroactive elaboration; (iii) a conversation-analytic approach to the clausal connective -nuntey, and (iv) an interactional ap-proach to the verbal affixes -ese and -nikka in conversation, among others. Overall, this paper shows what has been, and needs to be, studied regarding the relationship between conversation, social action, and grammar in conversation in Korean linguistics.

scholarly journals Decoupling paradigm of push-pull theory of oscillation in the FMCG industry

2016 ◽  
Vol 47 (2) ◽  
pp. 53-66 ◽  
Author(s):  
T.P. Mbhele
Keyword(s):  
Supply Chain ◽  
Bullwhip Effect ◽  
Modern Technology ◽  
Supply Chain Performance ◽  
Chain Model ◽  
Supply Chain Network ◽  
Innovative Strategies ◽  
Supply Chain Model ◽  
Demand Information ◽  
Order Variability

The amplification of demand order variability germinates from distorted demand information upstream while sometimes reacting to demand-driven inventory positioning influenced by the custodians of downstream information. This studyuses factor analysis to tentatively develop a supply chain model to enhance the competence of supply chain performance in terms of responsiveness, connectivity and agility. The results of the analysis indicate that the magnitude of control on the bullwhip effect and access to economic information on demand orders in the supply chain network are associated with the modelling of the push-pull theory of oscillation on three mirror dimensions of supply chain interrelationships (inventory positioning, information sharing and electronically-enabled supply chain systems). The findings provide the perspective on managing amplification in consumer demand order variability upstream in the supply chain network while enhancing the overall efficiency of supply chain performance. This article provides insight into the use of innovative strategies and modern technology to enhance supply chain visibility through integrated systems networks.

Best order variability of autoregressive EEG modelling

1985 ◽  
Vol 61 (3) ◽  
pp. S225-S226
Author(s):  
F. Vaz ◽  
P. Guedes De Oliveira ◽  
J.C. Principe
Keyword(s):  
Order Variability

Second-order variability of inherent optical properties of particles in Bohai Sea and Yellow Sea: Driving factor analysis and modeling

2017 ◽  
Vol 62 (3) ◽  
pp. 1266-1287 ◽  
Author(s):  
Deyong Sun ◽  
Shuguo Chen ◽  
Zhongfeng Qiu ◽  
Shengqiang Wang ◽  
Yu Huan ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Optical Properties ◽  
Yellow Sea ◽  
Bohai Sea ◽  
Second Order ◽  
Driving Factor ◽  
Inherent Optical Properties ◽  
Order Variability

Human Development Index (HDI) Rank-Order Variability

2017 ◽  
Vol 137 (2) ◽  
pp. 481-504 ◽  
Author(s):  
Ahmet M. Çilingirtürk ◽  
Habip Koçak
Keyword(s):  
Human Development ◽  
Human Development Index ◽  
Rank Order ◽  
Development Index ◽  
Order Variability
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