scholarly journals Optimal Allocation in Domains Mean Estimation Using Double Sampling with Non-Linear Cost Function in the Presence of Non-Response

2018 ◽  
Vol 7 (2) ◽  
pp. 45
Author(s):  
Alilah David Anekeya
Keyword(s):  
Cost Function ◽  
Optimal Allocation ◽  
Double Sampling ◽  
Mean Estimation ◽  
Non Linear ◽  
Linear Cost

Lot-Size Planning with Non-Linear Cost Functions Supporting Environmental Sustainability

2010 ◽  
Vol 1 (1) ◽  
pp. 34-39 ◽  
Author(s):  
Markus Heck ◽  
Guenter Schmidt
Keyword(s):  
Environmental Impact ◽  
Cost Function ◽  
Environmental Sustainability ◽  
Production Costs ◽  
Cost Functions ◽  
Size Optimization ◽  
Lot Size ◽  
Non Linear ◽  
Linear Cost

In this paper, the authors propose a non-linear cost function based on ecological considerations for lot-size planning. The classical approaches of lot-size optimization, the Wagner-Whitin algorithm and the Part-Period Balancing heuristic, are enhanced with so-called eco-factors. These eco-enhanced approaches combined with eco-balancing help to reduce overall production costs. Simultaneously, the environmental impact is also reduced.

scholarly journals A Note on Optimum Allocation with Non-Linear Cost Function

2015 ◽  
Vol 8 (2) ◽  
pp. 44-46
Author(s):  
Mohd. VaseemIsmail ◽  
E. A. Khan ◽  
Manoj Kr. Sharma ◽  
Kaynat Naseer
Keyword(s):  
Cost Function ◽  
Optimum Allocation ◽  
Non Linear ◽  
Linear Cost

Lot-Size Planning with Non-Linear Cost Functions Supporting Environmental Sustainability

2013 ◽  
pp. 226-231
Author(s):  
Markus Heck ◽  
Guenter Schmidt
Keyword(s):  
Environmental Impact ◽  
Cost Function ◽  
Environmental Sustainability ◽  
Production Costs ◽  
Cost Functions ◽  
Size Optimization ◽  
Lot Size ◽  
Non Linear ◽  
Linear Cost

In this paper, the authors propose a non-linear cost function based on ecological considerations for lot-size planning. The classical approaches of lot-size optimization, the Wagner-Whitin algorithm and the Part-Period Balancing heuristic, are enhanced with so-called eco-factors. These eco-enhanced approaches combined with eco-balancing help to reduce overall production costs. Simultaneously, the environmental impact is also reduced.

scholarly journals Optimal Allocation of the Irrigation Water Through a Non Linear Mathematical Model

2008 ◽  
Vol 3 (3) ◽  
pp. 191 ◽  
Author(s):  
P. Rubino ◽  
M. Catalano ◽  
R. Rana ◽  
A. Caliandro
Keyword(s):  
Mathematical Model ◽  
Irrigation Water ◽  
Optimal Allocation ◽  
Non Linear

A NON-LINEAR MODEL FOR OPTIMAL ALLOCATION OF IRRIGATION WATER AND LAND UNDER ADEQUATE AND LIMITED WATER SUPPLIES: A CASE STUDY IN SOUTHERN ITALY

2013 ◽  
Vol 62 (2) ◽  
pp. 145-155 ◽  
Author(s):  
Pietro Rubino ◽  
Anna Maria Stellacci ◽  
Roberta M. Rana ◽  
Maurizia Catalano ◽  
Angelo Caliandro
Keyword(s):  
Linear Model ◽  
Irrigation Water ◽  
Optimal Allocation ◽  
Southern Italy ◽  
Water Supplies ◽  
Non Linear

scholarly journals Estimation of Sensitive Attributes Using a Stratified Kuk Randomization Device

2017 ◽  
Vol 40 (1) ◽  
pp. 29-44
Author(s):  
Jong-Min Kim ◽  
Gi-Sung Lee ◽  
Ki-Hak Hong ◽  
Chang-Kyoon Son
Keyword(s):  
Optimal Allocation ◽  
Stratified Sampling ◽  
Double Sampling ◽  
Proposed Model ◽  
Sensitive Parameters ◽  
Allocation Methods

This paper suggests a stratified Kuk model to estimate the proportion of sensitive attributes of a population composed by a number of strata; this is undertaken  by applying stratified sampling to the adjusted Kuk model. The paper estimates sensitive parameters when the size of the stratum is known by taking proportional and optimal allocation methods into account and then extends to the case of an unknown stratum size, estimating sensitive parameters by applying stratified double sampling and checking the two allocation methods. Finally, the paper compares the efficiency of the proposed model to that of the Su, Sedory  and Singh model and the adjusted Kuk model in terms of the estimator variance.

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