@article{MAKHILLJEAS2017121714768,
    title = {Development of A Network DEA Model to Measure Production
Line’s Performance: A Conceptual Paper},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {12},
    number = {17},
    pages = {4356-4360},
    year = {2017},
    issn = {1816-949x},
    doi = {jeasci.2017.4356.4360},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2017.4356.4360},
    author = {N.A.M.A.,M.A. and},
    keywords = {Performance measurement,Network Data Envelopment Analysis (NDEA),manufacturing system,,inputs and outputs required,production line, relationship},
    abstract = {Production line in manufacturing industry usually is made up of several processes and must go
through performance measurement to determine whether they are efficient or inefficient. The extended DEA
model which is the network DEA is developed to look inside the DMU and find the source of inefficiency of
each sub DMUs. Our goals of developing the network DEA model on the production line are to identify the
inputs and outputs required and to consider the relationship and connection between each of the processes
in the production line and thus measure the performance of the entire production line. The expected outcome
of this study is to propose a conceptual model that can be used for performance measurement in manufacturing
production line.}
    }