Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/213487
Title: EFFECTIVE AND EFFICIENT METHODS FOR SEQUENCING AND SCHEDULING IN VARIOUS PROBLEM SOLVING ENVIRONMENTS
Researcher: Tyagi Rani Neelam
Guide(s): R. P. Triptahi and A. B. Chandramouli
University: Graphic Era University
Completed Date: 13-October-2017
Abstract: Sequencing and Scheduling (SAS) both are the major component in the Production Management and Operations Management. Today s globalization rules prescribe that only most effective SAS approaches of management and industrial production can go far. In the recent years, SAS problems have been attracted by numerous researchers because of its global competitive market demands. Hence, it is the most developed arena and mathematically called in Operations Research, Industrial Management, Production Management, and Industrial Engineering. An efficient and effective SAS is useful for increasing the productivity, improving quality of products, fulfilling the demands of market in time. In day-to-day life, the decision makers are very curious to find the best way to successfully manage the resources in order to produce the product in the most efficient way for the manufacturing and service industries. In recent years, Just-In-Time (JIT) scheduling was also applied in many studies to solve the problems, which consist of tardiness and earliness of jobs. In JIT scheduling most of the production industries are referred to meet the client s requirement in terms of due dates as possible for avoiding the earliness and tardiness of the jobs. The production companies are a detriment with great extent if they have early jobs or tardy jobs. Hence, for obtaining absolute scheduled, jobs should be finished exactly on their due dates. Due dates has the significant role in the production companies. newlineIn classical scheduling, most of the research literatures have been considered that setup times included with processing time and machines are always available during the jobs process, but these presumptions may be vindicated in some instances. In real life practical situations and modern production industries setup times is considered apart from processing time in the form of gear up the machine, cleaning up the machines, setting tools, prepare the machine for processing the jobs on it etc. Similarly, in real life practical situ
Pagination: 
URI: http://hdl.handle.net/10603/213487
Appears in Departments:Department of Mathematics

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02_certificates.pdf.pdf329.72 kBAdobe PDFView/Open
03_abstract.pdf.pdf23.83 kBAdobe PDFView/Open
04_acknowlegdements.pdf.pdf87.15 kBAdobe PDFView/Open
05_contents.pdf.pdf27.18 kBAdobe PDFView/Open
06_abbreviations.pdf.pdf13.02 kBAdobe PDFView/Open
07_list of tables figures.pdf.pdf195.21 kBAdobe PDFView/Open
08_chapter 1.pdf.pdf312.15 kBAdobe PDFView/Open
09_chapter 2.pdf.pdf176.83 kBAdobe PDFView/Open
10_chapter 3.pdf.pdf379.83 kBAdobe PDFView/Open
11_chapter 4.pdf.pdf215.91 kBAdobe PDFView/Open
12_chapter 5.pdf.pdf545.56 kBAdobe PDFView/Open
13_chapter 6.pdf.pdf486.25 kBAdobe PDFView/Open
14_chapter 7.pdf.pdf481.47 kBAdobe PDFView/Open
15_chapter 8.pdf.pdf408.11 kBAdobe PDFView/Open
16_chapter 9.pdf.pdf415.65 kBAdobe PDFView/Open
17_chapter 10.pdf.pdf77.09 kBAdobe PDFView/Open
18_references.pdf.pdf164.4 kBAdobe PDFView/Open
19_publications.pdf.pdf28.92 kBAdobe PDFView/Open


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