SURVEY ON PRODUCTION MANAGEMENT USING ASSEMBLY LINE SCHEDULING

e-ISSN: 2582-5208 International Research Journal of Modernization in Engineering Technology and Science Volume:02/Issue:10/October -2020

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SURVEY ON PRODUCTION MANAGEMENT USING ASSEMBLY LINE SCHEDULING Bhavik Chauhan *1, Vatsal Soni*2, Himani Thakar*3 *1,2,3School

of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu , India.

ABSTRACT Production management is the concept of a manufacturing function, including the planning, coordination, command, and control of a manufacturing business's production process. This survey is made up of a manufacturer. The issue of fabrication can be overcome by scheduling the assembly line. Assembly lines are unique manufacturing structures with flow lines and are very common in industrial mass production. The primary aim of the assembly line's preparation is to produce goods in the event of a massive order and where the consumer needs the show to be completed as soon as possible. The software comprises several algorithms and templates, such as automatically mixing assembly lines, versatile assembly lines, output planning, workshop planning, smart assembly platforms, combining templates, mixed models with the search technique of neighborhoods, Just-in-time programming, and arranging SMT lines. The preparation line consists of one or two assembly lines along each assembly line, with more than one workstation. The same number of stations are used in each assembly line. The assembly line stations have different purposes. Both modeling and scheduling processes contribute to improved product productions and the complexity of the equation reduced. So, our primary purpose is to study algorithms and model that have been using in production management and comparison between all those things for the better production management system.

Keywords: Assembly Line scheduling, Just in Time Model, Twin Based Approach, SMT Line scheduling, MixModel with neighborhood search, Intelligent assembly line scheduling.

I.

INTRODUCTION

The assembly line has been one of the most important experiments of industrial processes to resolve the realworld challenges associated with them. As a range of related equipment (including manufacturing machines and software, material handling and work-positioning equipment and computer systems) and human resources, a manufacturing system is describing as carrying out one or more processing and assembly operations on raw materials, separately or with a set of parts. The topic would concentrate on the assembly line method in this report.

A logistics dilemma can be addressed in the manufacturing industry using assembly line scheduling. The concept of assembly line scheduling consists of one or more assembly lines, with each assembly line containing more than one workstation. An equivalent number of stations is using in any assembly line, and stations in an assembly line are distinct. However, the operating functions of the stations on the assembly line are the same as those of the equivalent stations on most assembly lines. E.g., on assembly line 1, the jth station occupies the same role on other assembly lines as the jth station. The stations are designed at varying times and with different technology.

II.

LITURATURE SURVEY

H. Pang and X. Pang and X. Yang suggested planning for a compact mix-flow production line consisting of a fullfunction assembly plant with priority operational limitations. The preparation issue is deciding the assembly order of items on each workstation and the distribution and order of assembly operations [1]. F. The proposed AGVs by Yao are considered one of the critical enablers of intelligent factories, which allow the transport of pallets and material on a shop floor creative and versatile [2]. The AGVs are the key enablers. R. H and Gujjula.

By proposing a modern anticipative plan strategy, Günther attempted to fill this void, which is in contrast to the conventional real-life system. Schedules of the advance system have seen to require fewer staff to perform the utility job on the assembly line [3]. Najam, Aaima & Ahmad, Faizan & Ahmed, Zeeshan suggested the identification of the least cost route, the monitoring cost measurement and a formula derived from this to minimise later machine schedule complexity for n stations. This makes for a combination of assembly lines to understand [4] at the same time. S. H. Bu, H. Bu, Y. Wang, Y. Ishizaki suggested a high-speed development timetable for an HMLV development. The Miller – Tucker – Zemlin formulation of the Asymmetric Moving www.irjmets.com @International Research Journal of Modernization in Engineering, Technology and Science

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Salesman Problem (ATSP) would be used to calculate the minimum setup period in real-time to maximise the numerical velocity of the Optimum Output Period (OPC) process for preparing HMV. In the event of 16 component types and one re-entrant stage sharing the same unit, computational time was around 10 seconds as a result of performance assessments in the actual wafer testing process [5]. W. --. The production plan proposed to Chow is derivative from the commodity requirement, inventory and supply of material (i.e. availability of components and parts), line/tool capability and equipment. This can be achieved by solving a linear model of programming to reduce the inventory/backlog total over a fixed preparation horizon [6] according to certain resource constraints. E. T. The Valencia proposal a draught decision-making method for operational preparation for the heterogeneous workforce in a Multi-Product Make-To - Order (MTO) multiassembly line (SME) environment [8]. R. X. Ge and J. Yuan and J. As N workpieces have been mounted on m assembly islands, any component is assembled in the j process, and all operations must follow particular process routes strictly. Li recommends a modular assembly store. One or more assembly islands can be chosen per phase. The time of assembly is variable from one island to another. The parts are transported between the assembly islands by numerous vehicles [9]. Y.Yang suggested that multiple assembly plants, capacity constraints on points of transportation and multi-site salespeople should be presented with the distributed permutation flow-shop scheduling issue [10].

III.

METHOD OF EVOLUTION

Digital Twin Model

In the virtual world, the robotic assembly lines model the production process before being installed in physical factories. The DES optimizer is for prediction simulation, which describes the flow and mechanism of real-life output and relies on the time-based scheduling process engine. The AGV simulator is designing to evaluate and refine the timetable and the number of AGVs.

Figure 1: AVG using Twin Model

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Mixed-Model

A significant concern in JIT development process is the mixed-model assembly line. The multi-stage scheduling model is developing for a mixed-model assembly line of an auto vehicle. The purpose of the model is to preserve as much as possible the consumption of parts in the production line uniform in separate operating procedures. And by Lingo optimization tools, the goal is solved. The contrastive analysis reveals that the outcome of this model beats several algorithms, such as algorithms, genetic algorithms, simulation annealing algorithms, target follows, and so on.

Assembly Line with Parallel Machine Machines are delegated in advance to each separate process phase of each product since the job flows are reentrant, the abstract job flows for each product can be viewed as a flow line as seen in Figure 3. For instance, as seen in the figure, product 2 has three chips and is thus assembled three times by repeating the process stages of DA and WB. Therefore, the batches of item 2 go through six phases of DA and WB, each of which has dedicated computers. For the commodity, it is called a logical flow line (LFL).

Figure 2: Parallel Machine Digital Twin Based for Complex Product In the product life cycle management courses at the University of Michigan, the idea of the digital twin was initially raised. The early applications concentrated mostly on the military and aerospace industries. Through the help of digital twin technologies data obtained by physical sensors from physical entities can be transmitted promptly to the corresponding digital entities in the digital world, and users can equip with a more understandable means of observation and effect on physical commodities. Three aspects of the traditional digital twin structure can be described by   

Physical entities in the physical world, Digital entities in the digital world, and The interface between the physical world and the digital world for knowledge interaction

Figure 3: Interface between physical world and digital word Genetic Algorithm Genetic algorithms are ideally suited to solving problems of production scheduling, since genetic algorithms run on a population of solutions rather than a single solution, unlike heuristic approaches. This population of solutions consists of several responses in production schedule that may have different, often overlapping priorities. In one solution, for instance, we can optimise a production process to be completed in a limited amount of time and could be configured for a minimum number of defects in another solution. We can run into an increase in weaknesses in our final product by cranking up the rate at which we manufacture.

IV.

CONCLUSION AND FUTURE WORK

The maker has a big challenge to meet the needs of consumers nowadays. This paper proposes the quickest possible complex solution for the entire overloading of the factory line crisis, covering other installation lines and station to station transition costs that will improve performance and fluidity in the workflow.

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This survey analysis is an initial step to develop assembly line planning capability by suggesting an idea to update this planning algorithm for three assembly lines that face the same complex problems as any number of assembly lines (more than three) would face. As discussed above, this concept could be upgraded to an infinite number of assembly lines to meet the complex needs of the automotive industry by designing a more dynamic approach.

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