International Journal of Scientific & Technology Research

IJSTR@Facebook IJSTR@Twitter IJSTR@Linkedin
Home About Us Scope Editorial Board Blog/Latest News Contact Us

IJSTR >> Volume 6 - Issue 4, April 2017 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Integer Programming Approach For Optimization Of Library Loan Policy

[Full Text]



Hafeezullah Abdulrehman, Nasiruddin Khan, Mushtaq Hussain, Muhammad Liaquat Ali, Muhammad Shahid



Books, Integer programming, Landing-borrowing books, Maximum members facilitated



In the Library system, main objective is to provide the best services to the users. The purpose of this research is to develop a library system that house, implementing integrated procurement flow, return and borrowing books, so that the inter-library loan dealing can be done in an integrated manner, with the hope to facilitate members to borrow variety of books, thereby increasing library transactions. Interlibrary management system, library loan policy have been formed by using integer programming technique. This paper is prepared with a view to facilitate to users with loan period and maximum number of books can be borrowed.



[1] An.Optimal loan periods. Information Processing and Management, 11, 235242. (1975)

[2] Bruce, D. R. (1975). A Markov model to study the loan dynamics at areserve-loan desk at a lending li-brary. Library Quarterly, 45, 161179.

[3] Buckland, M. K. (1972). An operational research study of a variable loanand duplication policy at the University of Lancaster. Library Quarterly, 42, 97106.

[4] Buckland, M. K. (1975). Book availability and the li-brary user. New York: Pergamon Press.

[5] Burkhalter (Ed.), Case studies in systems analysis in a university library (pp. 1133). Metuchen, NJ: Scarecrow.

[6] Burkhalter, B. R., & Race, P. A. (1968). Analysis of renewals and over duesand other factors influencing the optimal charge-out period. In B. R.

[7] Burrell, Q. L. (1980). A simple stochastic model for library loans. Journalof Documentation, 36, 115132.

[8] Burrell, Q. L., & Fenton, M. R. (1994). A model for library book circulationsincorporating loan period. Journal of the American Society forInformation Science, 45, 101116.

[9] Goehlert, R. (1978). Book availability and delivery service. The Journal of Academic librarianship, 4, 368371.

[10] Goyal, S. K. (1970). Applications of operational re-search to the problem ofdetermining appropriate loan periods for periodicals. Libri, 20(1), 94100.

[11] Haravu, L J. (2009). Comparison of two open source integrated Library Systems (ILS): Koha (version. 3.0) and NewGenLib (version. 2.2 beta). Retrieved June 23, 2014 from: www.verussolutions.biz/files/Whitepaper2.doc.

[12] Hindle, A., & Buckland, M. K. (1976). Toward an adaptive loan andduplication policy for a university library. In P. Brophy, M. K. Buckland,& A. Hindle (Eds.), Reader in operations research for libraries(pp. 6976). Englewood, CO: Indian Head.

[13] Hindle, A., & Worthington, D. (1980). Simple stochastic models for libraryloans. Journal of Documentation, 36, 209213.

[14] Kantor, P. B. (1976a). Availability analysis. Journal of the AmericanSociety for Information Science, 27, 311319.

[15] Komalasari, R. & Saleh, A.R. (2009). ManajemenPerpustakaan. Jakarta: UniversitasTerb

[16] Li, X. (2014). What would be the Future of the Inte-grated Library Systems? Proceedings of the IATUL Conferences. Paper 3. Retrieved 2 December 2014 from: http://docs.lib.purdue.edu/cgi/viewcontent.cgi?article=2042&context=iatul