scholarly journals Convergence in Bucket Brigades in a Tree-Shaped Picking System

2014 ◽  
Vol 2014 ◽  
pp. 1-11
Author(s):  
Xiangbin Xu ◽  
Caige Xu ◽  
Feng Shi

Previous works on the dynamics of bucket brigades have mainly focused on linear production systems or tree-shaped assembly systems with insignificant walk-back time, but this assumption is invalid for most city picking systems. We propose a two-truck bucket brigade tree-shaped picking system when truck walk-back time is significant and analyze the dynamics of the system in each region of the parameter space, showing that relatively complex picking systems can enjoy the benefit of self-balance with minimal managerial intervention and provide insights and operating principles for the implementation and management of the bucket brigade picking system.

2003 ◽  
Vol 36 (23) ◽  
pp. 61-66
Author(s):  
Antoneta Iuliana Bratcu ◽  
Alexandre Dolgui

2015 ◽  
Vol 170 ◽  
pp. 862-873 ◽  
Author(s):  
Soondo Hong ◽  
Andrew L. Johnson ◽  
Brett A. Peters

2019 ◽  
Vol 52 (13) ◽  
pp. 2195-2200 ◽  
Author(s):  
Giovanni Fontana Granotto ◽  
Fabio Sgarbossa ◽  
Christoph H. Glock ◽  
Eric H. Grosse

2000 ◽  
Vol 6 (4) ◽  
pp. 321-357 ◽  
Author(s):  
S.-Y. Chiang ◽  
C.-T. Kuo ◽  
J.-T. Lim ◽  
S. M. Meerkov

This work develops improvability theory for assembly systems. It consists of two parts. Part I includes the problem formulation and the analysis technique. Part II presents the so-called improvability indicators and a case study.Improvability theory addresses the questions of improving performance in production systems with unreliable machines. We consider both constrained and unconstrained improvability. In the constrained case, the problem consists of determining if there exists a re-distribution of resources (inventory and workforce), which leads to an increase in the system's production rate. In the unconstrained case, the problem consists of identifying a machine and a buffer, which impede the system performance in the strongest manner.The investigation of the improvability properties requires an expression for the system performance measures as functions of the machine and buffer parameters. This paper presents a method for evaluating these functions and illustrates their practical utility using a case study at an automotive components plant. Part II uses the method developed here to establish conditions of improvability and to describe additional results of the case study.


1999 ◽  
Vol 121 (2) ◽  
pp. 282-289 ◽  
Author(s):  
Chung-Hsien Kuo ◽  
Han-Pang Huang ◽  
Kuang C. Wei ◽  
Steve S. H. Tang

In recent years, the automobile industry is facing more challenge than ever due to rapid model change requirements and demand fluctuations. Traditional fixed-type production systems are less capable in coping with the rapid change, while flexible production systems can better meet the requirement of low-volume production with model variations. Flexible machines integrated with model-mixed assembly lines form flexible assembly systems (FASs). In this paper, Colored Timed Petri Net (CTPN) is used to model a highly model-mixed automobile assembly system. Based on this CTPN model, a real-time simulator was developed along with different dispatching rules. Besides, the algorithm of balanced budget work standard (BWS) for a small batch production is developed for adjusting the loading balance of the operators in the highly model-mixed assembly lines. The simulator can be used as an effective tool for developing scheduling strategies.


2014 ◽  
Vol 693 ◽  
pp. 16-21
Author(s):  
Nina Vetríková ◽  
Michala Šimúnová

In this contribution is presented application of evolution diagrams at the assembly process of at the intelligent manufacturing and assembly cell. At this assembly cell was designed new assembly configuration for next research to our department and institute. Intelligent manufacturing and assembly cell is situated at the Institute of Production Systems and Applied Mechanics. The complex design of assembly sequences at the intelligent manufacturing and assembly cell is realized on the basis of evolution diagrams and outgoing from knowledge about intelligent manufacturing and assembly systems. For intelligence increase of assembly process was this cell completed by additional sensors. This assembly process is possible to name intelligent assembly process.


Work ◽  
2020 ◽  
Vol 67 (4) ◽  
pp. 855-866
Author(s):  
Joo Ae Lee ◽  
Yoon Seok Chang ◽  
Waldemar Karwowski

BACKGROUND: Order picking activities are the most labor-intensive processes in retail warehouses. Although various automated order picking technologies have been developed recently, human intervention continues to be required. Most advanced order picking systems can be classified into automated storage and retrieval system (AS/RS) and moving robot types. Both types of goods-to-picker systems aim to reduce the picker’s travel time required to determine product locations and to move these products to meet customer requests. OBJECTIVE: Many studies on the efficiency and effectiveness of automated order picking systems have focused solely on system performance. Since human operators play an essential part in order picking systems from both the effectiveness and efficiency point of view, the work-related risk factors for the workers interacting with these systems should also be evaluated. In this paper, we assess the ergonomic design features of two system types, a moving robot (MR) and automated storage and retrieval system (AS/RS), focusing on the assessment of the risk factors for work-related postural stresses. METHODS: We compare the performance factors of two order picking systems, i.e. MR and AS/RS, by applying a digital human modeling and simulation, and assessing the total average physical activity exhibited by human operators on a given order picking task. RESULTS: The AS/RS type order picking system exhibited a lower risk for task-related postural stresses for warehouse workers. CONCLUSIONS: The picking station for moving robot (MR) order picking system requires design changes in order to reduce postural stresses during human operator’s interaction with such a system.


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