Multi-objective optimization of greening scheduling problems of part feeding for mixed model assembly lines based on the robotic mobile fulfillment system

2021 ◽  
Author(s):  
Binghai Zhou ◽  
Zhexin Zhu
Keyword(s):  
Mixed Model ◽  
Scheduling Problems ◽  
Multi Objective Optimization ◽  
Assembly Lines ◽  
Multi Objective ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly ◽  
Part Feeding

Multi-Objective Optimization of Multi-Mixed-Model Assembly Lines Sequencing Problem

2013 ◽  
Vol 321-324 ◽  
pp. 2110-2115
Author(s):  
Zhi Li ◽  
Zhao Liang Jiang
Keyword(s):  
Mixed Model ◽  
Decision Makers ◽  
Multi Objective Optimization ◽  
Assembly Lines ◽  
Setup Cost ◽  
Inventory Cost ◽  
Multi Objective ◽  
Mixed Model Assembly Lines ◽  
Product Inventory ◽  
Mixed Model Assembly

Multi-mixed model assembly lines (MMMALs) sequencing cooperative optimization is a typical problem that a variety of products models are assembled in multiple assembly lines. It extends the traditional products sequencing from MMAL to MMMALs. In this paper, we pose products assembly sequencing in multi-mixed model assembly lines (MMMALs) as a multiple-objective optimization problem with the objectives to minimize consumption waviness of each material in the lines, total setup cost and finished product inventory cost. The multi-objective optimization algorithm based on NSGAII is designed. Computational experiment has been demonstrated to the applicability of using NSGAII to solve the problem and effectiveness of the proposed approach. By means of this research, the valid solutions for products assembly sequence can be offered to the decision makers effectively.

Part feeding at high-variant mixed-model assembly lines

2011 ◽  
Vol 24 (2) ◽  
pp. 119-141 ◽  
Author(s):  
Jenny Golz ◽  
Rico Gujjula ◽  
Hans-Otto Günther ◽  
Stefan Rinderer ◽  
Marcus Ziegler
Keyword(s):  
Mixed Model ◽  
Assembly Lines ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly ◽  
Part Feeding

scholarly journals Modified NEH Algorithm for Multi-Objective Sequencing in Mixed-Model Assembly Lines

2018 ◽  
Vol 37 (3) ◽  
pp. 445-552 ◽  
Author(s):  
Mudassar Rauf ◽  
◽  
Mirza Jahanzaib ◽  
Muhammad Haris Aziz ◽  
◽  
...  
Keyword(s):  
Mixed Model ◽  
Assembly Lines ◽  
Multi Objective ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly

scholarly journals A Multiobjective Optimization Algorithm to Solve the Part Feeding Problem in Mixed-Model Assembly Lines

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Masood Fathi ◽  
Maria Jesus Alvarez ◽  
Farhad Hassani Mehraban ◽  
Victoria Rodríguez
Keyword(s):  
Mathematical Model ◽  
Mixed Model ◽  
Performance Measure ◽  
Mixed Integer ◽  
Computational Time ◽  
Assembly Lines ◽  
Mixed Model Assembly Lines ◽  
The Mathematical Model ◽  
Mixed Model Assembly ◽  
Part Feeding

Different aspects of assembly line optimization have been extensively studied. Part feeding at assembly lines, however, is quite an undeveloped area of research. This study focuses on the optimization of part feeding at mixed-model assembly lines with respect to the Just-In-Time principle motivated by a real situation encountered at one of the major automobile assembly plants in Spain. The study presents a mixed integer linear programming model and a novel simulated annealing algorithm-based heuristic to pave the way for the minimization of the number of tours as well as inventory level. In order to evaluate the performance of the algorithm proposed and validate the mathematical model, a set of generated test problems and two real-life instances are solved. The solutions found by both the mathematical model and proposed algorithm are compared in terms of minimizing the number of tours and inventory levels, as well as a performance measure called workload variation. The results show that although the exact mathematical model had computational difficulty solving the problems, the proposed algorithm provides good solutions in a short computational time.

scholarly journals Scheduling Mixed-Model Production on Multiple Assembly Lines with Shared Resources Using Genetic Algorithms: The Case Study of a Motorbike Company

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
Francesco Costantino ◽  
Alberto Felice De Toni ◽  
Giulio Di Gravio ◽  
Fabio Nonino
Keyword(s):  
Genetic Algorithms ◽  
Manufacturing Systems ◽  
Mixed Model ◽  
Complex Model ◽  
Scheduling Problems ◽  
Assembly Lines ◽  
Shared Resources ◽  
Final Assembly ◽  
Mixed Model Assembly Lines ◽  
Mixed Model Assembly

The authors deal with the topic of the final assembly scheduling realized by the use of genetic algorithms (GAs). The objective of the research was to study in depth the use of GA for scheduling mixed-model assembly lines and to propose a model able to produce feasible solutions also according to the particular requirements of an important Italian motorbike company, as well as to capture the results of this change in terms of better operational performances. The “chessboard shifting” of work teams among the mixed-model assembly lines of the selected company makes the scheduling problem more complex. Therefore, a complex model for scheduling is required. We propose an application of the GAs in order to test their effectiveness to real scheduling problems. The high quality of the final assembly plans with high adherence to the delivery date, obtained in a short elaboration time, confirms that the choice was right and suggests the use of GAs in other complex manufacturing systems.

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