TY  - JOUR
AB  - Purpose The purpose of this study is to develop an intelligent methodology to find out an optimal feasible assembly sequence while considering the assembly predicates.Design/methodology/approach This proposed study is carried out by using two artificial immune system-based models, namely, Bone Marrow Model and Negative Selection Algorithms, to achieve the following objectives: to obtain the possible number of assembly sequences; to obtain the feasible assembly sequences while considering different assembly predicates; and to obtain an optimal feasible assembly sequence.Findings Proposed bone-marrow model determines the possible assembly sequences to ease the intricacy of the problem formulation. Further evaluation has been carried out through negative-selection censoring and monitoring models. These developed models reduce the overall computational time to determine the optimal feasible assembly sequence.Originality/value In this paper, the novel and efficient strategies based on artificial immune system have been developed and proposed to obtain all valid assembly sequences and optimized assembly sequence for a given assembled product using assembly attributes. The introduced methodology has proven its effectiveness in achieving optimal assembly sequence with less computational time.
VL  - 36
IS  - 2
SN  - 0144-5154
DO  - 10.1108/AA-10-2015-086
UR  - https://doi.org/10.1108/AA-10-2015-086
AU  - Bahubalendruni M.V.A. Raju
AU  - Deepak B.B.V.L.
AU  - Biswal Bibhuti Bhusan
PY  - 2016
Y1  - 2016/01/01
TI  - An advanced immune based strategy to obtain an optimal feasible assembly sequence
T2  - Assembly Automation
PB  - Emerald Group Publishing Limited
SP  - 127
EP  - 137
Y2  - 2024/04/19
ER  -