scholarly journals Effect of work-force availability on manufacturing systems operations of job shops

Procedia CIRP ◽  
2021 ◽  
Vol 103 ◽  
pp. 152-157
Author(s):  
Maria Chiara Magnanini ◽  
Marcello Colledani ◽  
Oleksandr Melnychuk ◽  
Davide Caputo
Keyword(s):  
Manufacturing Systems ◽  
Work Force ◽  
Job Shops

scholarly journals Queue Length Forecasting in Complex Manufacturing Job Shops

Forecasting ◽  
2021 ◽  
Vol 3 (2) ◽  
pp. 322-338
Author(s):  
Marvin Carl May ◽  
Alexander Albers ◽  
Marc David Fischer ◽  
Florian Mayerhofer ◽  
Louis Schäfer ◽  
...  
Keyword(s):  
Operations Management ◽  
Queue Length ◽  
Manufacturing Systems ◽  
Production Control ◽  
Data Sets ◽  
Job Shops ◽  
Static Data ◽  
Queue Lengths ◽  
Operational Excellence

Currently, manufacturing is characterized by increasing complexity both on the technical and organizational levels. Thus, more complex and intelligent production control methods are developed in order to remain competitive and achieve operational excellence. Operations management described early on the influence among target metrics, such as queuing times, queue length, and production speed. However, accurate predictions of queue lengths have long been overlooked as a means to better understanding manufacturing systems. In order to provide queue length forecasts, this paper introduced a methodology to identify queue lengths in retrospect based on transitional data, as well as a comparison of easy-to-deploy machine learning-based queue forecasting models. Forecasting, based on static data sets, as well as time series models can be shown to be successfully applied in an exemplary semiconductor case study. The main findings concluded that accurate queue length prediction, even with minimal available data, is feasible by applying a variety of techniques, which can enable further research and predictions.

Deadlock Prevention in Manufacturing Systems With AGV Systems: Banker’s Algorithm Approach

1997 ◽  
Vol 119 (4B) ◽  
pp. 849-854 ◽  
Author(s):  
Chang Wan Kim ◽  
J. M. A. Tanchoco ◽  
Pyung-Hoi Koo
Keyword(s):  
Material Flow ◽  
Manufacturing Systems ◽  
Job Shop ◽  
Deadlock Prevention ◽  
Job Shops ◽  
Vehicle Systems ◽  
Problems And Solutions ◽  
Handling Methods ◽  
Banker's Algorithm ◽  
Agv Systems

An important issue in the operational control of an automated job shop is the prevention and resolution of shop deadlocks. In this paper, we discuss the problems and solutions of deadlocks in manufacturing systems with automated guided vehicle systems, describe a banker’s algorithm for the control of material flow in job shops, and present the results of simulation experiments to compare the performance of several deadlock handling methods.

scholarly journals Fuzzy Filtering of Sensors Signals in Manufacturing Systems with Time Constraints

2010 ◽  
Vol 5 (3) ◽  
pp. 362 ◽  
Author(s):  
Anis M’halla ◽  
Nabil Jerbi ◽  
Simon Collart Dutilleul ◽  
Etienne Craye ◽  
Mohamed Benrejeb
Keyword(s):  
Fuzzy Systems ◽  
Manufacturing Systems ◽  
Knowledge Integration ◽  
Expert Knowledge ◽  
Time Constraints ◽  
Quality And Safety ◽  
Job Shops ◽  
New Approach ◽  
Robustness Property ◽  
Filtering Approach

The presented work is dedicated to the supervision of manufacturing job-shops with time constraints. Such systems have a robustness property towards time disturbances. The main contribution of this paper is a fuzzy filtering approach of sensors signals integrating the robustness values. This new approach integrates a classic filtering mechanism of sensors signals and fuzzy logic techniques. The strengths of these both techniques are taken advantage of the avoidance of control freezing and the capability of fuzzy systems to deal with imprecise information by using fuzzy rules. Finally, to demonstrate the effectiveness and accuracy of this new approach, an example is depicted. The results show that the fuzzy approach allows keeping on producing, but in a degraded mode, while providing the guarantees of quality and safety based on expert knowledge integration.

Design of a Resource Scheduling Tool for Production Project Management

2012 ◽  
Vol 220-223 ◽  
pp. 165-168
Author(s):  
Zeng Bin ◽  
Jing Zhang
Keyword(s):  
Project Management ◽  
Production Planning ◽  
Manufacturing Systems ◽  
Resource Scheduling ◽  
Minimal Amount ◽  
Job Shops ◽  
Front End ◽  
Production Processes ◽  
Repetitive Nature ◽  
Scheduling Tool

Production planning is clearly needed in all manufacturing systems, and that is also the case for job shops. When dealing with a small number of products or jobs repetitive scheduling becomes a major issue. In this situation, the same tasks are performed sequentially and repeated from job to job. To help with this problem, a resource scheduling tool is developed that would work alongside Microsoft Project. This tool should act as a front end to Microsoft Project and allow for the creation of a schedule with a minimal amount of work for the scheduling manager. Due to the repetitive nature of production processes, the tool should be able to eliminate most of the manual scheduling currently done exclusively in MS Project.

Multi-objective optimization of job shops with automated guided vehicles: A non-dominated sorting cuckoo search algorithm

2020 ◽  
pp. 1748006X2094653
Author(s):  
Behzad Karimi ◽  
Seyed Taghi Akhavan Niaki ◽  
Amir Hossein Niknamfar ◽  
Mahsa Gareh Hassanlu
Keyword(s):  
Manufacturing Systems ◽  
Production Efficiency ◽  
Performance Metrics ◽  
Job Shop ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Automated Guided Vehicles ◽  
Job Shops ◽  
Multi Objective

The reliability of machinery and automated guided vehicle has been one of the most important challenges to enhance production efficiency in several manufacturing systems. Reliability improvement would result in a simultaneous reduction of both production times and transportation costs of the materials, especially in automated guided vehicles. This article aims to conduct a practical multi-objective reliability optimization model for both automated guided vehicles and the machinery involved in a job-shop manufacturing system, where different machines and the storage area through some parallel automated guided vehicles handle materials, parts, and other production needs. While similar machines in each shop are limited to failures based on either an Exponential or a Weibull distribution via a constant rate, the machines in different shops fail based on different failure rates. Meanwhile, as the model does not contain any closed-form equation to measure the machine reliability in the case of Weibull failure, a simulation approach is employed to estimate the shop reliability to be further maximized using the proposed model. Besides, the automated guided vehicles are restricted to failures according to an Exponential distribution. Furthermore, choosing the best locations of the shops is proposed among some potential places. The proposed NP-Hard problem is then solved by designing a novel non-dominated sorting cuckoo search algorithm. Furthermore, a multi-objective teaching-learning-based optimization, as well as a multi-objective invasive weed optimization are designed to validate the results obtained. Ultimately, a novel AHP-TOPSIS method is carried out to rank the algorithms in terms of six performance metrics.

An Integrated Rapid Prototyping Environment for Reconfigurable Manufacturing Systems

Materials ◽  
2003 ◽  
Author(s):  
Chengyin Yuan ◽  
Placid Ferreira
Keyword(s):  
Manufacturing Systems ◽  
Modular Design ◽  
Low Cost ◽  
Work Force ◽  
Shop Floor ◽  
Reconfigurable Manufacturing Systems ◽  
Reconfigurable Manufacturing ◽  
Manufacturing Enterprise ◽  
Function Blocks ◽  
Iec 61499

At the enterprise level, manufacturing organizations are faced with accelerating technological cycles, global competition and an increasingly mobile work force. The flexibility of an enterprise and its ability to respond to new customer demands governs the competitiveness of the enterprise to changes in its market and in the society in which it operates. The flexibility in production processes must be able to accommodate differing product mixes with the changing availability of a skilled work force. It has been recognized for many years that flexibility on the enterprise shop floor can always be achieved if the resulting cost of product, process and system changeovers are not considered. However, with the increasing competitive pressures on today’s manufacturing enterprise; a highly flexible and reconfigurable manufacturing environment must be achieved at relatively low cost and high work-force productivity while maintaining a competitive advantage. To accomplish this goal the manufacturing enterprise must be able to be reconfigured with an increased level of automation that is scalable and flexible to meet diverse product demands. In this paper, we will introduce EMBench as the design and simulation environment for reconfigurable manufacturing systems. This environment provides a universal GUI (Graphical User Interface) that allows user to design, configure and simulate various resources on the shop floor level. In this paper, we present the resource model, workstation model and cell model and explore their characteristics and behaviors. We also propose the general interface for different models using IEC-61499 function blocks that allow scalable expansion and modular design. We use IEC-61499 function blocks and a service layer architecture to integrate various resources on the enterprise shop floor and achieve flexibility at a low cost. This environment facilitates a modular, component-based design of services for enterprise shop floor control.

CADCAM in the Aircraft Industry

1986 ◽  
Vol 200 (2) ◽  
pp. 107-114
Author(s):  
H P Y Hitch
Keyword(s):  
Flexible Manufacturing ◽  
Computer Aided Design ◽  
Manufacturing Systems ◽  
New Technology ◽  
Aircraft Design ◽  
Work Force ◽  
Aircraft Industry ◽  
Computer Aided ◽  
The Uk ◽  
The Impact

Reviews the development of CADCAM (computer aided design and manufacture) and CAE (computer aided engineering) in the UK aircraft industry, and describes the systems at present used by British Aerospace in their factories. Discusses communications between systems and how the setting up of networks can overcome problems in collaborative projects. Outlines recent developments in robotics and FMS (flexible manufacturing systems) and reefers to the impact of new materials in aircraft design and manufacturing. Comments on the effect of the new technology on the work-force.

Application of Petri nets towards improved utilization of machines in job shop manufacturing environments

2017 ◽  
Vol 28 (2) ◽  
pp. 169-188 ◽  
Author(s):  
Pravin S. Pachpor ◽  
R.L. Shrivastava ◽  
Dinesh Seth ◽  
Shaligram Pokharel
Keyword(s):  
Petri Nets ◽  
Material Handling ◽  
Job Shop ◽  
Work Force ◽  
General Purpose ◽  
The Body ◽  
Scheduling Problems ◽  
Job Shops ◽  
Content Type ◽  
Machine Utilization

Purpose The purpose of this paper is to demonstrate the use of Petri nets in a job shop setup for the improvement in the utilization of machines. Design/methodology/approach The study discusses concepts such as reachable state, token and matrix equations set, and demonstrates the improvements in machines’ utilization in a job shop. It makes use of algorithms to generate reachable markings to obtain utilization. The study not only describes the application of theory, but also extends the body of knowledge on Petri nets and job shops. Findings In this study, machines’ utilization has been studied in a job shop with six machines and eight products. The study finds that substantial utilization improvement in job shop set up can be obtained through the application of Petri nets. The study also exposes that Petri nets are mostly used for machines, jobs and tools scheduling problems, but its use in machines’ utilization is neglected. The framework and application presented here along with generalizable findings, is the first to report about machine utilization improvement in job shop manufacturing environment. Practical implications Job shops are characterized by high unit production cost, low investments, low volume and high variety, complex flows, flexible and skilled work force, general purpose machines, high material handling; resulting in poor utilization of machines. Therefore, the findings of this study can help in reducing such costs through better machine utilization. This can help in increasing the competitiveness of the companies. Originality/value The contribution of study lies in investigating and improving stage wise utilization in a job shop setup. It has never been reported before.

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