A Multi-Objective Task Reallocating Method in Complex Product Design Process Considering Design Changes

Yinhe Wang,Meng Wei,Heng Wang,Jiafu Su,Hongyuan Hu

doi:10.1109/access.2019.2954204

Abstract

In the highly dynamic design environments, task allocation is subject to considerable design changes. The task reallocating to cope with various unexpected design changes becomes an increasingly important issue in the complex product design (CPD). In this paper, we propose a task reallocating model based on an adaptive multi-objective genetic algorithm and Tabu search (AMOGATS) method to study the dynamic task allocating procedure considering design changes, which integrates the advantages of adaptive genetic algorithm and Tabu search algorithm. Three objectives, i.e. completion time, robustness and stability, are considered simultaneously to measure the task allocation performance. A real example is employed to test and evaluate the performance of proposed method. The computational results imply that the proposed AMOGATS performs better than the heuristic algorithms available in the literature, which has more advantages on the convergence rate and running efficiency than the other algorithms, along with a better solution. This work provides a useful decision support to carry out the task reallocating with high levels of flexibility and efficiency during the process of CPD.

Highlights

The problem of allocating and coordinating the complex product design (CPD) activities is central to the manufacturing enterprises
LITERATURE REVIEW Since this study focuses on the problem of task reallocation considering design changes in CPD, the literatures on design change, dynamic allocating and reallocating approaches are most relevant
WORK In this paper, a new task reallocating method is developed based on a hybrid-driven policy of periodic and event driven to cope with design changes

Summary

INTRODUCTION

The problem of allocating and coordinating the complex product design (CPD) activities is central to the manufacturing enterprises. The performance of task allocating often differs from the plans because of the design changes. Stability is usually an important measurement for task allocation in practice, which can be defined as the attributes that the time table of reallocating should catch up with the original plan as close as possible. The main contribution of this work is the proposal of a new method to optimize the task reallocating performance in CPD facing the design changes, which aims to provide a useful decision support for managers to make a more efficient and flexible task allocation schedule and to improve the whole performance of CPD.

LITERATURE REVIEW

PERFORMANCE MEASURES

CONCLUSION AND FUTURE WORK