NDLI: Make-to-order/make-to-stock partitioning decision using the analytic network process

Content Provider	Springer Nature Link
Author	Hemmati, Samira Rabbani, Masoud
Copyright Year	2009
Abstract	This paper presents a decision-making structure to determine the appropriate product delivery strategy for different products in a manufacturing system. These strategies include make-to-stock (MTS), make-to-order (MTO), and hybrid MTS/MTO production systems. In fact, the proposed approach gets the decision maker the opportunity to benefit from both strategies through applying the hybrid one. There are varieties of driving factors involved in choosing the right product delivery strategy, and all these factors have positive and negative interactions with each others; in this regard, we apply an appropriate multi-criteria decision-making method. In this method, relevant criteria affecting MTS/MTO partition are split into four categories: market-related criteria, product-related criteria, process-related criteria, and supplier-related criteria. Due to the interdependency between these criteria, we use analytic network process that generalizes analytic hierarchical process by considering the interdependencies among factors. Finally, in order to show the applicability of the proposed structure in practice, the structure is implemented to choose the best production policy among three aforementioned strategies in the real industrial case company.
Starting Page	801
Ending Page	813
Page Count	13
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	48
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer-Verlag
Publisher Date	2009-09-25
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Make-to-order (MTO) Make-to-stock (MTS) Hybrid MTS/MTO MTS/MTO partitioning Analytic network process (ANP) Computer-Aided Engineering (CAD, CAE) and Design Mechanical Engineering Production/Logistics Industrial and Production Engineering
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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