Estimation of interquartile range in stratified sampling under non-linear cost function

2019 ◽  
pp. 1-8
Author(s):  
Javid Shabbir ◽  
Aneel Ahmed
Keyword(s):  
Cost Function ◽  
Stratified Sampling ◽  
Interquartile Range ◽  
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 A multiple response stratified sampling design with travel cost

2011 ◽  
Vol 29 (1) ◽  
pp. 31 ◽  
Author(s):  
Shazia Ghufran ◽  
Saman Khowaja ◽  
Najmussehar ◽  
M. J. Ahsan
Keyword(s):  
Cost Function ◽  
Travel Cost ◽  
Stratified Sampling ◽  
Sample Survey ◽  
Programming Approach ◽  
Multiple Response ◽  
Actual Cost ◽  
Compromise Allocation ◽  
The Cost ◽  
Linear Cost

In developing the theory of stratified sampling usually the cost function is taken as a linear function of sample sizes considering the measurement and the overhead costs only. In many practical situations the linear cost function does not approximate the actual cost incurred adequately. For example when the cost of traveling between the units selected in the sample within a stratum is significant, instead of linear cost function a cost function that is quadratic in will be a more close approximation to the actual cost. In this paper the problem of finding a compromise allocation for a multiple response stratified sample survey with a significant travel cost within strata is formulated as a multiobjective non linear programming problem. A solution procedure is proposed using the goal programming approach. A numerical example is also presented to illustrate the computational details.

Optimal Two-commodity Flows with Non-linear Cost Functions

1995 ◽  
Vol 46 (10) ◽  
pp. 1192-1107 ◽  
Author(s):  
N. L. Boland ◽  
A. T. Ernst ◽  
C. J. Goh ◽  
A. I. Mees
Keyword(s):  
Cost Functions ◽  
Commodity Flows ◽  
Non Linear ◽  
Linear Cost
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