TY - JOUR
T1 - Human, AGV or AIV? An integrated framework for material handling system selection with real-world application in an injection molding facility
AU - Hellmann, William
AU - Marino, Dean
AU - Megahed, Mohamed
AU - Suggs, Merlin
AU - Borowski, Jeffrey
AU - Negahban, Ashkan
N1 - Publisher Copyright:
© 2018, Springer-Verlag London Ltd., part of Springer Nature.
PY - 2019/3/17
Y1 - 2019/3/17
N2 - Motivated by a real-world material handling system selection problem, this paper proposes a framework that allows for quantifying safety and incorporating it in multi-criteria decision-making processes that involve both quantitative and qualitative measures. In the proposed framework, the results of failure mode and effect analysis (FMEA) for each alternative are converted into a quantitative measure of total safety and reliability associated with that alternative. A modified analytic hierarchy process (AHP) that differentiates between subjective and objective measures is then used to compare the alternatives at hand. In this modified AHP, experts’ judgments are used for pairwise comparison of alternatives with respect to qualitative measures, while for quantitative criteria, measured or estimated performance is directly used to obtain the required pairwise comparisons. An Excel-based decision support tool that implements the proposed framework is developed and made available online for researchers and practitioners. An application based on a real-world problem in an injection molding facility is also presented.
AB - Motivated by a real-world material handling system selection problem, this paper proposes a framework that allows for quantifying safety and incorporating it in multi-criteria decision-making processes that involve both quantitative and qualitative measures. In the proposed framework, the results of failure mode and effect analysis (FMEA) for each alternative are converted into a quantitative measure of total safety and reliability associated with that alternative. A modified analytic hierarchy process (AHP) that differentiates between subjective and objective measures is then used to compare the alternatives at hand. In this modified AHP, experts’ judgments are used for pairwise comparison of alternatives with respect to qualitative measures, while for quantitative criteria, measured or estimated performance is directly used to obtain the required pairwise comparisons. An Excel-based decision support tool that implements the proposed framework is developed and made available online for researchers and practitioners. An application based on a real-world problem in an injection molding facility is also presented.
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U2 - 10.1007/s00170-018-2958-x
DO - 10.1007/s00170-018-2958-x
M3 - Article
AN - SCOPUS:85056353822
SN - 0268-3768
VL - 101
SP - 815
EP - 824
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 1-4
ER -