An Application of Stochastic Programming with Weibull Distribution–Cluster Based Optimum Allocation of Recruitment in Manpower Planning

Brownian motion subject to a quadratic killing rate and its connection with the Weibull distribution is analyzed. The distribution obtained for the process killing time significantly generalizes the Weibull. The derivation involves the use of the Karhunen–Loève expansion for Brownian motion, special function theory, and the calculus of residues.

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Stochastic Programming Problems with Probability and Quantile Functions

Journal of the Operational Research Society ◽

10.1038/sj.jors.2600833 ◽

1997 ◽

Vol 48 (8) ◽

pp. 849-849

Author(s):

A I Kibzun ◽

Y S Kan

Keyword(s):

Stochastic Programming ◽

Quantile Functions

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Development of Reliability Acceptance Sampling Plan for the Case where the Degradation Quantity of the Performance Characteristic Follows Weibull Distribution based on the Accelerated Degradation Test

Journal of Applied Reliability ◽

10.33162/jar.2018.06.18.2.122 ◽

2018 ◽

Vol 18 (2) ◽

pp. 122-129

Author(s):

Heonsang Lim ◽

Jaehun Park ◽

Si-Il Sung

Keyword(s):

Weibull Distribution ◽

Performance Characteristic ◽

Sampling Plan ◽

Acceptance Sampling ◽

Accelerated Degradation ◽

Acceptance Sampling Plan ◽

Degradation Test ◽

Accelerated Degradation Test

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Transiting into Singaporean identity: Immigration and naturalisation policy

MIGRATION LETTERS ◽

10.33182/ml.v13i1.262 ◽

2015 ◽

Vol 13 (1) ◽

pp. 33-48 ◽

Cited By ~ 2

Author(s):

Mathews Mathew ◽

Debbie Soon

Keyword(s):

Manpower Planning ◽

The State ◽

Comparative Perspective ◽

Policy Discourse ◽

Optimal Composition ◽

Skilled Labour ◽

Planning Policy ◽

The Government ◽

The Ideal

Debates in Singapore about immigration and naturalisation policy have escalated substantially since 2008 when the government allowed an unprecedentedly large number of immigrants into the country. This essay will discuss immigration and naturalisation policy in Singapore and the tensions that have been evoked, and how these policies are a key tool in regulating the optimal composition and size of the population for the state’s imperatives. It will demonstrate that although the state has, as part of its broader economic and manpower planning policy to import labour for economic objectives, it seeks to retain only skilled labour with an exclusive form of citizenship. Even as the Singapore state has made its form of citizenship even more exclusive by reducing the benefits that non-citizens receive, its programmes for naturalising those who make the cut to become citizens which include the recently created Singapore Citizenship Journey (SCJ) is by no means burdensome from a comparative perspective. This paper examines policy discourse and the key symbols and narratives provided at naturalisation events and demonstrates how these are used to evoke the sense of the ideal citizen among new Singaporeans.

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Nonlinear Stochastic Programming Involving CVaR in the Objective and Constraints

Informatica ◽

10.15388/informatica.2015.65 ◽

2015 ◽

Vol 26 (4) ◽

pp. 569-591 ◽

Cited By ~ 2

Author(s):

Valerijonas Dumskis ◽

Leonidas Sakalauskas

Keyword(s):

Stochastic Programming

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Hybrid maize breeding with doubled haploids: Comparison between selection criteria

Acta Agronomica Hungarica ◽

10.1556/aagr.54.2006.3.9 ◽

2006 ◽

Vol 54 (3) ◽

pp. 343-350 ◽

Cited By ~ 4

Author(s):

C. F. H. Longin ◽

H. F. Utz ◽

A. E. Melchinger ◽

J.C. Reif

Keyword(s):

Selection Criteria ◽

Doubled Haploids ◽

Optimum Allocation ◽

Finite Sample ◽

Sample Sizes ◽

Maize Breeding ◽

Selection Gain ◽

Breeding Programmes ◽

Hybrid Maize ◽

Breeding Resources

The optimum allocation of breeding resources is crucial for the efficiency of breeding programmes. The objectives were to (i) compare selection gain ΔGk for finite and infinite sample sizes, (ii) compare ΔGk and the probability of identifying superior hybrids (Pk), and (iii) determine the optimum allocation of the number of hybrids and test locations in hybrid maize breeding using doubled haploids. Infinite compared to finite sample sizes led to almost identical optimum allocation of test resources, but to an inflation of ΔGk. This inflation decreased as the budget and the number of finally selected hybrids increased. A reasonable Pk was reached for hybrids belonging to the q = 1% best of the population. The optimum allocations for Pk(q) and ΔGkwere similar, indicating that Pk(q) is promising for optimizing breeding programmes.

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