NDLI: On Space Resource Constrained Job Scheduling Problems- A Container Loading Heuristic Approach

Content Provider	IEEE Xplore Digital Library
Author	Chyuan Perng Shui-Shun Lin Zih-Ping Ho
Copyright Year	2008
Description	Author affiliation: Dept. of Bus. Adm., Nat. Chin-Yi Univ. of Technol., Taichung (Shui-Shun Lin) \|\| Dept. of Ind. Eng. & Enterprise Inf., Tunghai Univ., Taichung (Chyuan Perng; Zih-Ping Ho)
Abstract	A job scheduling problem is one of the most complicated and well-known combinatorial optimization problems. A previous space resource constrained job scheduling problem stated that the assembly process of a machine requires a certain amount of space on the shop floor within the factory for a period of time. The sizes of the shop floor and machines will determine the number of machines which can be assembled at the same time. There are a few research papers investigating space resource constrained job scheduling problems. In this study, we intend to find a schedule in order to minimize the makespan by converting the container loading problem heuristic into one that solves the space scheduling optimization problem. The processing time requirement for each job is the depth for each box in Pisinger's CLP heuristic. The testing data was obtained from the OR-Library and collected from a real company in central Taiwan during 2008. After validation, we find that our approach is more efficient than other well-known dispatching rules for obtaining the best schedule within the minimum makespan. We also verify that if a job completes early and moves into an unlimited buffer situation, it will generate the less makespan and maybe improve space utilization. We suggest that job height could be included into this problem in future studies.
Starting Page	202
Ending Page	206
File Size	272158
Page Count	5
File Format	PDF
ISBN	9780769533049
DOI	10.1109/ICNC.2008.419
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Strips Job shop scheduling Costs Containers Industrial engineering Production facilities Aerospace industry job scheduling problems space allocation problems Processor scheduling Space technology resource constrained scheduling problems container loading problems space scheduling problems Assembly
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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