Study on Reconfiguration Approach of Mixed-Model Assembly Line Based on Petri Net Modeling of Workstations

2012 ◽  
Vol 263-266 ◽  
pp. 3265-3273
Author(s):  
Shu Xu ◽  
Fu Ming Li

This thesis puts forward a reconfiguration approach of mixed-model assembly line on the basis of adding equipments against short-term and violent change of demand. This approach makes uses of equivalent transformation of task volume to judge whether the capacity of current assembly line can satisfy the demand according to delivery time, and gives equipment configuration of completing the order by adjusting assembly line structure. Research results show that the shortage and excess of assembly line capacity as well as equipment configuration is different when order changes. The approach proposed in this thesis can be directly adopted as the scheme of mixed-model assembly line and referred to other capacity adjustment schemes, such as balancing the mixed-model assembly lines and cooperative manufacture.

Author(s):  
Vernnaliz Carrasquillo ◽  
Thomas J. Armstrong ◽  
S. Jack Hu

Aim: The aim of this study is to describe the relationship between cycle-to-cycle task variations in mixed-model assembly lines and workers’ exposure to poor posture and insufficient recovery time and provide guidelines for mixed-model assembly line (MMAL) design. Background: In the US, 17.6 out of 100,000 manufacturing workers suffer musculoskeletal injuries while conducting tasks in assembly lines which may be paced (e.g. continuously moving) or self-paced (e.g. asynchronous indexing). MMALs produce multiple products in the same line. Pacing must be carefully considered to achieve productivity targets while providing workers sufficient time to complete the tasks and recover. The effect of pacing on worker fatigue and exertions is not well understood. In MMALs, the complexity of completing multiple work methods may increase exposure to these risk factors. These concerns also affect hospital kitchens. While kitchen workers don’t have standardized work cycles, the work tasks (e.g. get, move, put) resemble the cyclic nature of manufacturing plants. Studies have been conducted to describe the effect of cycle-to-cycle task variations on worker posture and recovery time in MMALs (Carrasquillo, Armstrong, and Hu 2011, 2016, 2017). Methods: Three studies were conducted: (1) field observation of continuous moving assembly line - hospital kitchen, continuous moving conveyor; (2) conveyor type, product mix/sequence laboratory experiment - simulated assembly task conducted under 9 conveyor and product mix/sequence configurations; (3) field observation of on demand, self-paced assembly line with varying demand - hospital kitchen where patients placed orders at any time. Workers were video recorded and worker posture and recovery time were assessed. Posture tracking was used in laboratory study (2). Results: The self-paced assembly lines (asynchronous indexing, and manual), provided workers control over their work pace. They reached within the reach envelop more frequently than in the paced, continuous moving conveyor (43% vs. 86% –99%). The workers on the self-paced assembly line had the greatest average recovery time (31.8%), the worker on the continuous moving conveyor had 9.5% and the subjects on the asynchronous indexing conveyor had 0.7% recovery time. Discussion and conclusions: In study (1) increases in variations increased the frequency of workers reaching outside the reach envelope and reduced recovery time. In Study (2), the self-paced, asynchronous indexing mixed-model assembly line was the most effective configuration in reducing the frequency of reaching unnecessarily to complete the job. However, subjects didn’t reduce the pace to recover; instead, they worked continuously. The workers’ pace in the Study (3) assembly line was constrained by the process time. In it, workers, chose to reach outside the reach envelop 14% of the time; less frequently than in Study (1). The process time provided time for recovery. It exceeded 10%, more than in any of the other assembly line configurations. These findings demonstrate that as work variations increase, so does the frequency of reaching while the recovery time is. Self-pacing reduced but did not eliminate awkward postures. Participants reached ahead and completed the assigned tasks before the work objects were within the reach envelope. Ensuring that a minimum work time is maintained for each product type is essential to providing workers with sufficient time for recovery.


2011 ◽  
Vol 211-212 ◽  
pp. 770-774
Author(s):  
Yun Qing Rao ◽  
Meng Chang Wang ◽  
Kun Peng Wang

This paper focus on single vehicle scheduling problem minimizing the line-side inventory of mixed-model assembly lines, considering the assembly sequence as an input.An exact algorithm is proposed based on three newly introduced concepts: conflicting, tight subset and complete conflicting subset, which divide the transportation operations into three classes.The solution generated by the algorithm is proved to be optimal. The algorithm is compared with the most popular FCFS (first-come, first-served) rule, and results shows the advantages of the algorithm, especially for large instances of the problem.


2011 ◽  
Vol 127 ◽  
pp. 603-608
Author(s):  
Qiu Hua Tang ◽  
Yan Li Liang

Mixed-model assembly lines are become more and more important by producing different models of the same product on an assembly line. Aiming at the existing mixed-model assembly line balancing problem, first, two important objective functions for minimizing cycle time and workload variance were provided, and mathematical models were established. Furthermore, in order to obtain the optimal or near optimal solutions, an improved genetic algorithm was proposed with combined precedence graph. Finally, the experiment results illustrate the feasibility and validity of the proposed improved genetic algorithm.


2014 ◽  
Vol 2014 ◽  
pp. 1-19 ◽  
Author(s):  
Farzad Tahriri ◽  
Siti Zawiah Md Dawal ◽  
Zahari Taha

It can be deduced from previous studies that there exists a research gap in assembly line sequencing optimization model for mixed-model production lines. In particular, there is a lack of studies which focus on the integration between job shop and assembly lines using fuzzy techniques. Hence, this paper is aimed at addressing the multiobjective mixed-model assembly line sequencing problem by integrating job shop and assembly production lines for factories with modular layouts. The primary goal is to minimize the make-span, setup time, and cost simultaneously in mixed-model assembly lines. Such conflicting goals arise when switching between different products. A genetic algorithm (GA) approach is used to solve this problem, in which trapezoidal fuzzy numbers are implemented for variables such as operation and travelling time in order to generate results with higher accuracy and representative of real-case data.


2011 ◽  
Vol 15 (2) ◽  
pp. 31 ◽  
Author(s):  
Leonora Fuxman

<span>Motivated by the practices of Japanese and European automotive manufacturers who use teams in car assembly processes, this paper develops two models of teamwork for assembly line workers. The implications of teamwork arrangements on productivity of the assembly line are studied. The findings support the conventional wisdom that teamwork improves productivity. However there are situations when teamwork leads to a decline in productivity. The performance of the two team models were tested using the real assembly line data obtained from an automobile manufacturer. The approach developed in this paper provides computational means of revaluating the implications on productivity of different team structures, team sizes and position of teams in the line.</span>


2014 ◽  
Vol 670-671 ◽  
pp. 1593-1600 ◽  
Author(s):  
Li Nie ◽  
Yue Wei Bai ◽  
Jun Wu ◽  
Chang Tao Pang

The manufacturers nowadays are forced to respond very quickly to changes in the market conditions. To adopt flexible mixed model assembly lines (MMAL) is a preferred way for manufacturers to improve competitiveness. Managing a mixed model assembly line involves two problems: assigning assembly tasks to stations (balancing problem) and determining the sequence of products at each station (sequencing problem). In order to solve both balancing and sequencing problem in MMAL simultaneously, an integrated mathematical model based on mixed integer programming (MIP) is developed to describe the problem. In the model, general type precedence relations and task duplications are considered. Due to the NP-hardness of the balancing and sequencing problem of MMAL, GA is designed to search the optimal solution. The efficiency of the GA is demonstrated by a case study.


2021 ◽  
Vol 39 (2A) ◽  
pp. 280-294
Author(s):  
Samah A. Aufy ◽  
AllaEldin. H. Kassam ◽  
Ghanim A. Ismeal

Facing the increasingly competitive market environment, assembly lines are gained attention because of the assembly process expenditure consumes more than 20 % of the manufacturing cost, and also improve its products to meet demand. In this paper, an attempt has been made to develop worker-task assigned to workstation heuristic (W-TAWH) approach for solving mixed-model assembly line balancing problem (M-MALBP), in which the assembly tasks have to be assigned to workstations, and each workstation needs to select only one of the available operators to perform the assigned tasks corresponding to the straight and U-shaped assembly lines with the objective minimum cycle time. The performance of the developed approach was evaluated and validated through applying the practical case in the Dayla State Company for Electrical Industries (DSCEI) particularly in the electric transformer factory (ETF). Taguchi method was used to evaluate the contribution of each one of the considerations in the assembly line are solution approach, layout, sequence vector (SV), and workstation numbers. All results proved the stated considerations have impact significant in any trying to re-balance the assembly line.


2010 ◽  
Vol 30 (2) ◽  
pp. 164-172 ◽  
Author(s):  
Mohammad Kamal Uddin ◽  
Marian Cavia Soto ◽  
Jose L. Martinez Lastra

PurposeDesign, balancing, and sequencing are the key issues associated with assembly lines (ALs). The purpose of this paper is to identify AL design issues and to develop an integrated methodology for mixed‐model assembly line balancing (MMALB) and sequencing. Primarily, mixed‐model lines are utilized for high‐variety, low‐volume job shop or batch production. Variation of a generic product is important for the manufacturers as the demand is mostly customer driven in the present global market.Design/methodology/approachDifferent AL design norms, performance indexes, and AL workstation indexes have been identified in the initial stage of this work. As the paper progresses, it has focused towards an integrated approach for MMALB and sequencing addressed for small‐ and medium‐scale assembly plants. A small‐scale practical problem has been justified with this integrated methodology implemented by MATLAB.FindingsALs execution in the production floor require many important factors to be considered. Different line orientations, production approaches, line characteristics, performance and workstation indexes, problem definitions, balancing and product sequencing in accordance with the objective functions are needed to be taken into account by the line designer.Originality/valueThis paper has highlighted the important AL design characteristics and also provided an integrated approach for balancing mixed‐model assembly lines (MMALs) combined with sequencing heuristic. The findings of this paper can be helpful for the designers while designing an AL. The integrated approach for balancing and sequencing of MMALs can be used as a functional tool for assembly‐based contemporary industries.


2013 ◽  
Vol 717 ◽  
pp. 460-465 ◽  
Author(s):  
Zhi Li ◽  
Zhao Liang Jiang ◽  
Yu Mei Liu

Mixed-model assembly lines are widely used in many manufacturing firms to meet diversified demands of consumers without possessing large product inventories. In this paper, we posed order oriented assembly line sequencing as a multiple-objective optimization problem with the objectives to minimize material consumption waviness, the total setup cost, and finished product inventory cost. The multi-objective optimization algorithm based on non-dominated sorting particle swarm optimization (NSPSO) is designed. Computational experiment has been demonstrated to the applicability of using NSPSO to solve the problem and effectiveness of the proposed approach. By means of this research, the valid solutions for order oriented mixed-model assembly line sequence can be offered to the decision makers effectively.


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