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Time demand analysis
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Part 1 of ebook "Progress in activity-based analysis" provides readers with contents including: contributions to understanding joint relationships among activity and travel variables; a dynamic programming approach for the activity generation and scheduling problem; simulation of daily activity patterns; simulation daily activity patterns through the identification of sequential dependencies; adjustments of activity timing and duration in an agent-based traffic flow simulation;...
249p
dongmelo
21-05-2024
2
2
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Then, we analyze a special case that considers only one uncapacitated supplier and a buyer with price-sensitive demand in a serial supply chain. An efficient heuristic is developed for this case to obtain a near optimal solution in a timely manner. Finally, we provide a series of numerical examples to illustrate our results and analyze the impact of the parameters within a sensitivity analysis.
19p
longtimenosee10
26-04-2024
3
1
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In a short time, various deviations from both the “standard” itself and the list of allowed exceptions became spread in the labor market in the Republic of Tatarstan. This led to the emergence of atypical forms of employment: unofficial, part-time, overtime, temporary. Such forms of employment facilitate a real adjustment of the supply and demand in the Tatarstan labor market. The paperconsiders the approaches to a comprehensive economic and statistical analysis of employment and unemployment in the Republic of Tatarstan in the conditions of their diversification in the new economic order
8p
longtimenosee10
26-04-2024
3
1
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This paper takes up the responsiveness and recovery performance of a distribution warehouse of a supply chain operating under conditions of large lead times (lags) for order replenishment, and uncertain demand (sudden demand increases).
17p
longtimenosee07
29-03-2024
2
1
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This thesis is comprised of eight chapters. Following this introductory chapter, Chapter 2 provides a summary of literature relating to OHS accountability and examines issues relating to OHS performance management. Chapter 3 presents a review of stakeholder, legitimacy and institutional theory literature. The research method employed is discussed and justified in Chapter 4. Chapter 5 presents the results of the stakeholder survey and in doing so describes stakeholder demand for OHS disclosure.
312p
runthenight04
02-02-2023
6
2
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Part 1 of ebook "Economics of sustainable tourism" provide readers with content about: tourism demand and the host community; time series modelling of tourism demand from the United States, Japan and Malaysia to Thailand; determinants of tourist satisfaction at sun and sand mass destinations;... Please refer to the part 1 of ebook for details!
89p
langmongnhu
14-12-2022
9
5
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The main goals of this chapter are to: Understand the role of forecasting as a basis for supply chain planning; identify the basic components of demand: average, trend, seasonal, and random variation; show how to make a time series forecast using moving averages, exponential smoothing, and regression;...
14p
runordie9
27-09-2022
11
2
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Lecture Real-time systems - Chapter 4: Priority-based scheduling (Part 3: Time demand analysis) provide students with knowledge about relative merits of fixed- and dynamic-priority scheduling, schedulable utilization and proof of schedulability,...
22p
bachnhuocdong
23-12-2021
20
0
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Research is often undertaken using patient-reported outcomes from questionnaires. Achieving a high response rate demands expensive and time-consuming methods like telephone reminders. However, it is unknown whether telephone reminders change outcome estimates or only affect the response rate in research of populations with low back pain (LBP).
8p
vimackenziebezos
30-11-2021
10
1
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Plant oils are very important for domestic and industrial use. Biodiesel can be obtained from plant seed oil. Biodiesel is currently popular and in demand due to the high cost of petroleum and to avoid pollution. It is time to increase plant seed oil production and conduct research to find ways of enhancing its production. We studied two species of oil seed plants, i.e. Ricinus communis and Glycine max, with varying amounts of oil content. Proteins from six categories of enzymes involved in fatty acid biosynthesis were selected for study.
26p
tudichquannguyet
29-11-2021
9
1
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This chapter provides knowledge of demand estimation & forecasting. The contents of this chapter include all of the following: Economic and Accounting Costs; Role of Time in Cost Analysis; Short-run Cost Curves; Long-run Cost Curves; Minimum Efficient Scale; Firm Size and Plant Size; Learning Curves; Economies of Scope; Cost-volume-profit Analysis.
25p
caphesuadathemtac
09-11-2021
8
1
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A widely applied approach to extract knowledge from high-throughput genomic data is clustering of gene expression profiles followed by functional enrichment analysis. This type of analysis, when done manually, is highly subjective and has limited reproducibility. Moreover, this pipeline can be very time-consuming and resource-demanding as enrichment analysis is done for tens to hundreds of clusters at a time. Thus, the task often needs programming skills to form a pipeline of different software tools or R packages to enable an automated approach.
17p
vitzuyu2711
29-09-2021
6
1
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This paper aims to investigate the determinants of water demand in Kuwait and assess their impact on consumption. To do this, we applied the cointegration regression and the error correction model (ECM) on annual time series data, covering the period from 1972 to 2019. We found that the price elasticity for fresh water demand in Kuwait is negative and elastic in the long run (-1.095), which is consistent with the existing literature. Also, we found that the income elasticity for demand was positive in the long run (0.234), however, no short run effect was found for either price or income.
5p
mynguyenha
21-07-2021
10
2
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With the aforementioned subjects, the author conducts research on two aspects of the housing market in HCM city: analysis of housing supply and analysis of housing demand. On the supply side, the author analyzes the seller's bidding strategy. On the demand side, this thesis focuses on house buying behavior under the influence of current house’s characteristics.
28p
kethamoi12
15-05-2021
10
2
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The projected demand for total knee arthroplasty is staggering. At its root, the solution involves increasing supply or decreasing demand. Other developed nations have used rationing and wait times to distribute this service. However, economic impact and cost-effectiveness of waiting for TKA is unknown.
8p
viannito2711
20-04-2021
17
2
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The development of next-generation sequencing instruments has led to the generation of millions of short sequences in a single run. The process of aligning these reads to a reference genome is time consuming and demands the development of fast and accurate alignment tools.
25p
viwyoming2711
16-12-2020
10
1
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RNA sequencing (RNA-seq) has become the standard means of analyzing gene and transcript expression in high-throughput. While previously sequence alignment was a time demanding step, fast alignment methods and even more so transcript counting methods which avoid mapping and quantify gene and transcript expression by evaluating whether a read is compatible with a transcript, have led to significant speed-ups in data analysis.
11p
vijisoo2711
27-10-2020
9
0
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The analysis of time series data is of vital interest to many groups, such as macroeconomists studying the behavior of national and international economies, finance economists who study the stock market, agricultural economists who want to predict supplies and demands for agricultural products. We introduced the problem of autocorrelated errors when using time series data in chapter 12. In chapter 15 we considered distributed lag models. In both of these chapters we made implicit stationary assumptions about the time series data.
35p
koxih_kothogmih7
29-09-2020
20
0
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The main goals of this chapter are to: Understand the role of forecasting as a basis for supply chain planning; identify the basic components of demand: average, trend, seasonal, and random variation; show how to make a time series forecast using moving averages, exponential smoothing, and regression;...
14p
koxih_kothogmih7
29-09-2020
16
1
Download
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The analysis of time series data is of vital interest to many groups, such as macroeconomists studying the behavior of national and international economies, finance economists who study the stock market, agricultural economists who want to predict supplies and demands for agricultural products. We introduced the problem of autocorrelated errors when using time series data in chapter 12. In chapter 15 we considered distributed lag models. In both of these chapters we made implicit stationary assumptions about the time series data.
35p
koxih_kothogmih8
29-09-2020
11
0
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