Deterministic and Random Single Machine Sequencing with Variance Minimization
Vani Vina and
Raghavacahari M
IIMA Working Papers from Indian Institute of Management Ahmedabad, Research and Publication Department
Abstract:
This paper discusses the problem of ordering n jobs on a single machine with the objective of minimizing the variance of completion times. It is shown that for n> 18 jobs, there exits an optimal solution in which the job with the third largest processing time is always at the second position. Using the techniques of partitioning of variances 1 a general formula is given for the change in variance due to the interchange of two jobs whose positions hav nt been fixed in the sequence. Optimal sequences are obtained for n=6 and n=7. The results are extended to the random case when the processing times are random variables and the objective is to minimize the expected variance of the completion times.
Date: 1983-10-01
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:iim:iimawp:wp00556
Access Statistics for this paper
More papers in IIMA Working Papers from Indian Institute of Management Ahmedabad, Research and Publication Department Contact information at EDIRC.
Bibliographic data for series maintained by ().