Author(s)

Deyu Chen ¹, Shirley Enriquez ¹

Affiliation(s)

¹ St. Paul University, Philippines Tuguegarao City, Cagayan, Philippines, 3500

Corresponding Author

Deyu Chen

ABSTRACT

Due to the complexity, uncertainty and randomness of the market environment, it is common and more frequent in enterprises. In addition to the supply chain inventory compression, strong personnel mobility and streamlining of the establishment and other reasons, the interpolation resources are constrained, the time and space of movement is limited, and the overall efficiency is low. In this paper, the phenomenon of "order insertion" in manufacturing enterprises is investigated, analyzed and studied. Frequent insertion of orders to the original normal production plan and disruption, whether purchasing or production. The phenomenon of order insertion will disrupt the original production rhythm, lead to production chaos, produce a variety of waste, affect the reputation of enterprises, seriously reduce customer satisfaction. The author analyzes the reason of "insert order" and its influence on production and management, and puts forward the corresponding improvement measures and countermeasures.

KEYWORDS

business order, insert sheet, the supply chain, market factors

CITE THIS PAPER

Deyu Chen, Shirley Enriquez, Study on the Cost of Placing Orders and Its Behavior in Manufacturing Enterprises. Manufacturing and Service Operations Management (2022) Vol. 3: 51-58. DOI: http://dx.doi.org/10.23977/msom.2022.030306.

REFERENCES

[1] He Xiaomei, Dong Shaohua. Research on Multi-objective and multi-constraint Hybrid Flow Shop Insert Single Rescheduling Problem. Chinese Journal of Engineering Science, 2019, 41 (11): 48-50.
[2] Chen Wenjun. Preemptive Design Project Scheduling Considering Random Rework and Interpolation, Computer Integrated Manufacturing Systems, 2018 (2): 13-17.
[3] Pei Haiyan, Jiang Zuhua, Hu Jiawen et al. Rescheduling Optimization of Assembly line Production and Maintenance under Single Plug Disturbance. Industrial Engineering and Management, 2017, 22 (1): 48-50.
[4] Zhao Shixiong, Wang Liya, Zheng Yu, et al. Joint Optimization of Production Scheduling and Maintenance for Two Machine Line in Tobacco Processing. Industrial Engineering and Management, 2013, 18 (4): 85-89.
[5] Ou Jiangyan. Research on Production System Optimization of Small and Medium-sized Manufacturing Enterprises Based on Order Production. Journal of Guangdong University of Technology, October 2010 (5): 33-36.
[6] Zhou Xiongfeng. Research on Urgent Order Processing Based on Constraint Theory. Journal of Jilin University, 2015, 10 (6): 25-29.
[7] Yan Zixi, Chen Zhixiang. Research on Insert Method and Insert Selection of ETO Production Scheduling Order. Group Technology and Production Modernization, 2009, 1 (26): 7-11.
[8] Xie X.T. Research on Optimization of Multi-variety, Small-batch and order-type Production System. Journal of Guangdong University of Technology, 2008. 6 (5) 28-31.
[9] Du Hong. Research on Emergency Order Mode of Manufacturing Enterprises. Journal of Southwestern University of Finance and Economics, 2008. 8 (7) 48-52.
[10] Li X., Peng Z., Du B., Guo J., Xu W., Zhuang K., Hybrid artificial bee colony algorithm with a rescheduling strategy for solving flexible job shop scheduling problems. Computers & Industrial Engineering, 2017, 113: 10-26.

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