Amin-Tahmasbi, H., Hami, M. (2019). Stuff scheduling in capillary marketing and analyse of its impact on the company’s financial issues. International Journal of Research in Industrial Engineering, 8(1), 53-65. doi: 10.22105/riej.2019.159489.1066
H. Amin-Tahmasbi; M. Hami. "Stuff scheduling in capillary marketing and analyse of its impact on the company’s financial issues". International Journal of Research in Industrial Engineering, 8, 1, 2019, 53-65. doi: 10.22105/riej.2019.159489.1066
Amin-Tahmasbi, H., Hami, M. (2019). 'Stuff scheduling in capillary marketing and analyse of its impact on the company’s financial issues', International Journal of Research in Industrial Engineering, 8(1), pp. 53-65. doi: 10.22105/riej.2019.159489.1066
Amin-Tahmasbi, H., Hami, M. Stuff scheduling in capillary marketing and analyse of its impact on the company’s financial issues. International Journal of Research in Industrial Engineering, 2019; 8(1): 53-65. doi: 10.22105/riej.2019.159489.1066
Stuff scheduling in capillary marketing and analyse of its impact on the company’s financial issues
1Department of Industrial Engineering, Faculty of Technology and Engineering, East of Guilan, University of Guilan, Guilan, Iran.
2School of Business Management, University of Rahbord Shomal, Guilan, Iran.
Abstract
In today’s competitive business environment, supply chain performance is one of the most critical issues in the various industries; there is much argumentation about the fact that supply chain performance is the basis of the supply chain management efficiency. In this regard, the distribution sector is the most important part of the supply chain. Due to the pulse of a company is in the hands of its sales and distribution department. This article proposes a new mixed integrated linear programming model MILP for scheduling distribution channel membership based on capillary marketing by considering staffs experiences at Pak's pasteurized dairy in one month. The purpose of this study is to reduce the costs of the company along with the increase in sales. Constraints affecting target functions such as minimum sales per employee and maximum overtime days are also considered. The computational experiment by GAMS software demonstrates the effectiveness of the model in reaching its objectives.
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