Time-Dependent Learning Effect and Deterioration on Single Machineas Scheduling

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Dian Ayu Nurul Ihsani
Dian Ayu Nurul Ihsani
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Sunarsih
Sunarsih
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Robertus Heri
Robertus Heri
α Diponegoro University

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Time-Dependent Learning Effect and Deterioration on Single Machineas Scheduling

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Abstract

Learning effect and deterioration do not always occur separately. If both of them are founded simultaneously, the actual processing time of the jobs will both increase and decrease at the same time. The actual processing time is defined by a function of the starting time and position of jobs in the sequence. In this paper, the effect of learning and deterioration is applied to single machine’s scheduling problem in a paper-mill. Learning effect as a result of regular performance-evaluation reduce the effect of deterioration up to 206, 5509 hours. This paper-mill operates jobs by their interest. This paper show that Earlier Due Date (EDD) rule construct a better sequence under maximum lateness problem then either Shortest Processing Time (SPT) rule or Most Urgent Job rule do. Maximum lateness of the jobs under EDD rule is 13,6% less then sequence that is recently used in that paper-mill.

References

6 Cites in Article
  1. Gur Mosheiov (1994). Scheduling jobs under simple linear deterioration.
  2. M Pinedo (2002). Scheduling Theory, Algorithms, & System.
  3. L Sun (2009). Single-Machine Scheduling Problems with Deteriorating Jobs and Learning Effects.
  4. J Wang (2007). Single-machine scheduling with the effects of learning & deteriorating.
  5. D Waters (2003). Logistics an Introduction to Supply Chain Management.
  6. D Yang,W Kuo (2010). Some Scheduling Problems with Deteriorating Jobs and Learning Effects.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dian Ayu Nurul Ihsani. 2014. \u201cTime-Dependent Learning Effect and Deterioration on Single Machineas Scheduling\u201d. Global Journal of Research in Engineering - G: Industrial Engineering GJRE-G Volume 14 (GJRE Volume 14 Issue G4): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjre

Print ISSN 0975-5861

e-ISSN 2249-4596

Version of record

v1.2

Issue date

October 17, 2014

Language
en
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Learning effect and deterioration do not always occur separately. If both of them are founded simultaneously, the actual processing time of the jobs will both increase and decrease at the same time. The actual processing time is defined by a function of the starting time and position of jobs in the sequence. In this paper, the effect of learning and deterioration is applied to single machine’s scheduling problem in a paper-mill. Learning effect as a result of regular performance-evaluation reduce the effect of deterioration up to 206, 5509 hours. This paper-mill operates jobs by their interest. This paper show that Earlier Due Date (EDD) rule construct a better sequence under maximum lateness problem then either Shortest Processing Time (SPT) rule or Most Urgent Job rule do. Maximum lateness of the jobs under EDD rule is 13,6% less then sequence that is recently used in that paper-mill.

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Time-Dependent Learning Effect and Deterioration on Single Machineas Scheduling

Dian Ayu Nurul Ihsani
Dian Ayu Nurul Ihsani Diponegoro University
Sunarsih
Sunarsih
Robertus Heri
Robertus Heri

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