@inproceedings{scholars11832,
            note = {cited By 3; Conference of 1st International Postgraduate Conference on Mechanical Engineering, IPCME 2018 ; Conference Date: 31 October 2018 Through 31 October 2018; Conference Code:144222},
          number = {1},
       publisher = {Institute of Physics Publishing},
         journal = {IOP Conference Series: Materials Science and Engineering},
          volume = {469},
             doi = {10.1088/1757-899X/469/1/012004},
            year = {2019},
           title = {Analytical hierarchy process application of body in white modular sub-assembly for automotive manufacturing in Malaysia - A case study},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060975806&doi=10.1088\%2f1757-899X\%2f469\%2f1\%2f012004&partnerID=40&md5=7a8fbcb8e740d189d513b9325cd0af9e},
          author = {Fudzin, A. F. and Mokhtar, A. A. and Amin, M. and Basri, A. Q.},
            issn = {17578981},
        abstract = {Decision-making is crucial in the industry as the industrial expert having a restriction to convey their experience to the management prior to the final decision-making (DM). Daily operation in the industry especially in the automotive environment a lot of DM is required. Industry issue such as making decision of sub-assembly parts and module production location is one of the industry problem. The objectives of this study to establish a method to measure the intuitive opinions and experiences of the industrial expert for the DM proposal. Simple qualitative measurement would benefit to engineer to make a proposal to the management with the quantitative result. Intuition of the expert would conveyed to the decision maker in the industry to reach a decision on the proposal. Based on the criteria, sub-criteria and alternatives established, the computation using analytical hierarchy process (AHP) methodology applied in this study. The result of alternative 3 is 0.399, which is the processes will be outsource at the local component manufacturer location and transport to the automotive carmaker. The weighted factor in conclusion achieved the consistency with a CR {\^a}?? 0.1, which is 0.07. Alternative 3 agreed by all related party in the industry as the best option for sub-assembly process of parts and modules in order to meet local contents strategy. The AHP methodology proven for usage as the appropriate tool for decision making in the industry. {\^A}{\copyright} Published under licence by IOP Publishing Ltd.},
        keywords = {Hierarchical systems; Manufacture, Analytical Hierarchy Process; Automotive environment; Automotive manufacturing; Component manufacturers; Industry problems; Qualitative measurements; Quantitative result; Sub-assembly process, Decision making}
}