Manufacturer EOQ with Considering Customer Stochastic Demand, Different Inspective Strategies and Raw Material Quality Defect

Author:

Yongfei Li12,Songbo Wei12,Yuzhi Wei12,Khan Syed Abdul Rehman34

Affiliation:

1. School of Modern Posts, Xi’an University of Posts & Telecommunications, Xi’an, Shaanxi 710061, P. R. China

2. Collaborative Innovation Center for Modern Post, Xi’an University of Posts & Telecommunications, Xi’an, Shaanxi 710061, P. R. China

3. School of Management and Engineering, Xuzhou University of Technology, Xuzhou, Jiangsu 221018, P. R. China

4. Department of Business Administration, ILMA University, Karachi, Sindh, Pakistan

Abstract

Single-period newsboy models and the corresponding EOQ models are, respectively, constructed under the condition that the manufacturer inspects raw materials of his supplier with total or sample inspection strategies and the manufacturer repairs or cheaply disposes the defective quality products when single supplier and manufacturer are faced with the customer stochastic demand and quality defects of raw materials. It is also found that marginal effect will be enlarged when unqualified products are disposed at a reduced price. There is a smaller impact to EOQ when manufacturer cheaply disposes the unqualified products when he repairs the products. Under demand-obeying normal distribution, EOQ will be linearly decreasing when the number of unqualified products increases. But EOQ will be linearly increasing when the order is greater than the mean demand and EOQ will also be linearly increasing with the demand standard deviation increase. Finally, the propositions and inferences are confirmed which can exert an impact on EOQ by adopting Monte Carlo simulation software. This research can provide some theoretical basis for manufacturers to reduce internal and external loss costs.

Funder

National Social Science Foundation of China

Scientific Research Project of Shaanxi Provincial Department of Education

Xi'an Social Science Planning Fund

Publisher

World Scientific Pub Co Pte Ltd

Subject

Industrial and Manufacturing Engineering,Strategy and Management,Computer Science Applications

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