• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
IJIMT 2013 Vol.4(6): 584-588 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2013.V4.466

Orders Acceptance Model for Practical Purpose in Make-to-Order Manufacturing

Muhammad Akbar, Diandra Ayasa Anandipa, and Anas Ma’ruf

Abstract— Order acceptance in make-to-order industry is critical because the high variety among orders. Decision whether to accept or reject an order depend on several factors such as resources capacity and potential profit of each order. In this research, a heuristic order acceptance model has been developed to support quick decision making for order acceptance. The heuristic approach is conducted due to unreasonable computation time of analytical approach. Numerical example is elaborated in the paper for a case study at a make-to-order industry manufacturing mold and dies. The proposed model results in a reasonable computational time while having a near optimum solution.

Index Terms— Order acceptance, make-to-order, order selection, production capacity.

Muhammad Akbar is with the Department of Industrial Enginnering and Management of Institut Teknologi Bandung, Indonesia (e-mail: muhammad.akbar.abay@gmail.com).
Diandra Ayasa Anandipa is with the PT Astra Internasional Tbk. (e-mail: diandra_anandipa@yahoo.com).
Anas Ma’ruf is with the Department of Industrial Enginnering of Institut Teknologi Bandung, Indonesia (email: maruf@ti.itb.ac.id).

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Cite: Muhammad Akbar, Diandra Ayasa Anandipa, and Anas Ma’ruf, " Orders Acceptance Model for Practical Purpose in Make-to-Order Manufacturing," International Journal of Innovation, Management and Technology vol. 4, no. 6, pp. 584-588, 2013.

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