A developed slope order index (SOI) for bottlenecks in projects and production lines
Mehdi Rajabi Asadabadi ()
Additional contact information
Mehdi Rajabi Asadabadi: The University of New South Wales
Computational Management Science, 2017, vol. 14, issue 2, No 6, 291 pages
Abstract:
Abstract This paper finds a sequence of m jobs on one processor with the minimum total cost as a solution to the sequencing problem where the raw materials are either expensive to buy or carry. There have been numerous studies considering m jobs on one processor which consider various cost factors such as the total penalty cost. One of the important, but less investigated cost factors, in the previous studies, is the inventory carrying and its relevant capital costs. The inventory costs such as the holding cost and capital cost must be considered in proposing a solution to the sequencing problem. In this paper, by taking those costs into account to address the sequencing problem, a developed slope order index is computed to enable decision makers to a sufficient cost saving sequence of m jobs on one processor. This paper contributes the current knowledge by proposing a new sequencing solution in which some previously less observed costs are considered. The result of this paper can also be employed in scheduling of m jobs where there is a bottleneck and the inventories are expensive or their holding costs are considerable.
Keywords: Sequencing; Scheduling; Holding cost; Inventory cost (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10287-017-0276-7 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:comgts:v:14:y:2017:i:2:d:10.1007_s10287-017-0276-7
Ordering information: This journal article can be ordered from
http://www.springer. ... ch/journal/10287/PS2
DOI: 10.1007/s10287-017-0276-7
Access Statistics for this article
Computational Management Science is currently edited by Ruediger Schultz
More articles in Computational Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().