If a product is made of more than one component, then it needs to be assembled. Complexity of assembling a product is largely subject to the implication of product design as well as the number of assembly components that may also affect attainable assembly sequences. In addition, it is widely understood that efficiency of assembling a product can be partially achieved by reducing assembly times (therefore costs) and this is notably important for small and medium-sized manufacturing companies. Thus, it is useful for seeking an optimal assembly sequence of a product at the early product design stage. This paper presents a study by applying the genetic algorithm (GA) for solving an assembly sequence optimisation problem of a car engine pump valve providing a quick solution in obtaining an optimal or near-optimal assembly sequence of the product.
|Title of host publication||2018 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS 2018)|
|Publication status||Published - 14 Jan 2019|
|Event||1st International Conference on Electronics, Control, Optimization and Computer Science - Kenitra, Morocco|
Duration: 5 Dec 2018 → 6 Dec 2018
|Conference||1st International Conference on Electronics, Control, Optimization and Computer Science|
|Abbreviated title||ICECOCS 2018|
|Period||5/12/18 → 6/12/18|