Work Order System On Manufacturing Performance: Effects And Impacts

Work Order System and Manufacturing Performance

Discuss about the Order System on Manufacturing Performance.

Work Order System is the design and documentation of a certain part of work in large operations such as industrial manufacturing process. There are different work systems that are used for different industrial operations. The type and design of a work system significantly affects operation performance of the industries. The main objective of a successful work order system is to identify the best possible method for an operation so that optimized performance is obtained. A work order system is composed of a number of work cells that are arranged in a sequential order. Each work cell consists of the information of one stage of the operation. In the manufacturing operation, the work cells are used to represent each stage of the manufacturing operation. In a manufacturing system, to optimize manufacturing performance, the Hollier Algorithm is used for making optimal arrangements for work stations. The Hollier Algorithm is used for sorting part routing data and arranging work stations according to the part routing data inputs.

In this report, the operation chosen is manufacturing process. The effects and impacts of work order system on manufacturing performance have been discussed in this report.

Work Order System is an operation layout or algorithm that is used to optimize the performance of the machine on the basis of input and output. In a manufacturing process, several work planning, layout and operation algorithms are needed to optimize operation performance. Use of a suitable work order system will significantly impact the manufacturing performance.

A work order system is composed of a number of work cells that are arranged in a sequential order. Each work cell consists of the information of one stage of the operation. In the manufacturing operation, the work cells are used to represent each stage of the manufacturing operation. There are two kinds of work flow diagrams – pure sequential and mixed sequential. For a manufacturing operation, mixed sequential diagram is used to represent the whole process.

Figure: Work System Structure for a Manufacture Industry (Operations)

Now, work flow diagram using work cells are only small parts of a work order system. The work flow diagrams are constructed in several stages – technological stage, work allocation stage and ergonomic stage. For a manufacturing operation, the technological stage consist of the technical operations of manufacturing machines, work allocation consists of the allocation of duties to the machines as well as workers and ergonomic stage consists of other related factors like resources, methodology, post-manufacture operations and others. In manufacturing process, the parts of the work cells are called as “Part Family”.

Work Flow Diagrams

In a manufacturing system, to optimize manufacturing performance, the Hollier Algorithm is used for making optimal arrangements for work stations. The Hollier Algorithm is used for sorting part routing data and arranging work stations according to the part routing data inputs.

For manufacturing process, work flow diagram is much complex. The work flow diagram used is called “Network Diagram”.

Figure: Sample Network Diagram for Manufacturing Process

(Source: Created by Author)

Now, these are the basic levels of work order systems for a manufacturing process. However, there are more complex structures for work order system of a manufacturing process. These include:

Methods Analysis – Methods analysis of work order system enables the manufacturing operator to analyze and understand the methods to be followed during the course of the operations. In this part of work order system, the existing operation methodology is analyzed and broken down into small work cells or work break down structures. There are a number of benefits of methods analysis in manufacturing process:

• Unnecessary operations or methods are analyzed and removed from the main manufacture operation. This helps in preventing extra costs and unwanted operational errors.
• Multiple operations can be combined together in a sequential order for avoiding too much operation time. This helps in reduction of overall manufactural timeline and operations.
• In manufacturing process, sometimes, the operations are not done in sequential order and hence, operational errors are found very often. Method analysis can help in rearranging the order of the operations so that the manufacturing process can be executed in the correct manner.
• Method analysis can also simply the operational activities of a manufacturing process. This helps in increasing efficiency and optimizing the performance of the manufacturing equipments.

Methods design follows the method analysis process and is used to design optimal design methods for manufacturing or any other industrial operation. Methods design has another set of benefits for industrial operations and manufacturing operations for this case. These benefits are follows:

• The problems and issues arising during the operational activities can be mitigated easily by building a suitable methods design i.e. methods design gives a proper way of operations.
• Methods design can be used to find suitable alternatives to existing operations. Finding alternative operation ways can provide more options as well as more optimal and efficient operational method.
• Methods design can also be used for implementation of new methods and operational changes. A suitable methods design is best suited for optimizing operations of the industrial equipments. In manufacturing industry, methods design is the most important part of operations.

Layout planning is by far the most important part of any industrial operation and manufacturing industry is no different. Layout planning is developed from the blueprint of the complete building and equipment placement structures. From the work breakdown structures and work cells, an operational layout can be designed including the layout for the operational equipments. This helps in optimization of operations as well as maximum efficiency of the equipments.

From the above study, it has been clear that work systems have significant impacts on the manufacturing industry. Not only the basic operational designs and layouts, they are useful for designing a suitable map for execution of the operations as well as optimization of performances using some specific algorithms.

Conclusion

Finally, the report can be concluded with the fact that work order system is an inseparable part of an industrial manufacturing process. Work Order System is an operation layout or algorithm that is used to optimize the performance of the machine on the basis of input and output. In a manufacturing process, several work planning, layout and operation algorithms are needed to optimize operation performance. Use of a suitable work order system will significantly impact the manufacturing performance. A work order system is composed of a number of work cells that are arranged in a sequential order. Each work cell consists of the information of one stage of the operation. In the manufacturing operation, the work cells are used to represent each stage of the manufacturing operation. There are two kinds of work flow diagrams – pure sequential and mixed sequential. Methods analysis of work order system enables the manufacturing operator to analyze and understand the methods to be followed during the course of the operations. In this part of work order system, the existing operation methodology is analyzed and broken down into small work cells or work break down structures. There are also other factors of work systems that are used to optimize manufacture operations in the manufacture industry.

Fischer, K. & Zink, K.J., (2012). Defining elements of sustainable work systems–a system-oriented approach. Work, 41(Supplement 1), pp.3900-3905.

Hamid, A.H.A., Rozan, M., Ibrahim, R., Deris, S., Nik Rushdi, H. & Yunus, M.N., (2013). Business process analysis of emergency plan using work system theory. Journal of Information Systems Research and Innovation (JISRI), 3, pp.37-43.

He, N., Zhang, D. Z., & Li, Q. (2014). Agent-based hierarchical production planning and scheduling in make-to-order manufacturing system.International Journal of Production Economics, 149, 117-130.

He, W., & Da Xu, L. (2014). Integration of distributed enterprise applications: a survey. IEEE Transactions on Industrial Informatics, 10(1), 35-42.

Husejnagić, D., & Sluga, A. (2015). A conceptual framework for a ubiquitous autonomous work system in the Engineer-To-Order environment. The International Journal of Advanced Manufacturing Technology, 78(9-12), 1971-1988.

Le Bourhis, F., Kerbrat, O., Hascoët, J. Y., &Mognol, P. (2013). Sustainable manufacturing: evaluation and modeling of environmental impacts in additive manufacturing. The International Journal of Advanced Manufacturing Technology, 69(9-12), 1927-1939.

Lin, M.T., (2013). The single‐row machine layout problem in apparel manufacturing by hierarchical order‐based genetic algorithm. International Journal of Clothing Science and Technology.

Liu, C., Li, Y., & Shen, W. (2014). Integrated manufacturing process planning and control based on intelligent agents and multi-dimension features. The International Journal of Advanced Manufacturing Technology, 75(9-12), 1457-1471.

Romanovsky, A. & Thomas, M., (2013). Industrial deployment of system engineering methods. Heidelberg: Springer.

Tubaileh, A. S. (2014). Layout of flexible manufacturing systems based on kinematic constraints of the autonomous material handling system. The International Journal of Advanced Manufacturing Technology, 74(9-12), 1521-1537.

Wasson, C.S., (2015). System Engineering Analysis, Design, and Development: Concepts, Principles, and Practices. John Wiley & Sons.

Zink, K.J., (2014). Designing sustainable work systems: the need for a systems approach. Applied ergonomics, 45(1), pp.126-132.