A hybrid matrix evaluation of inventories based on the inherent capability and Actual sales
Subject Areas : Industrial Management
mehran
khalaj
1
(استادیار)
Amir hossien
khalaj
2
(مربی)
Keywords: actual sales capabilities, Supply Chain, capabilities inherent in sales, Inventory management,
Abstract :
Demand for after-sales parts companies depends on various parameters and is not always predictable. Mainly basic information for reasons such as poor quality of some parts, there are other competitors in the market and similar items, consequently, the decision and possibly dissatisfaction customers have the kind of ambiguity and uncertainty. So in order to make decisions in such circumstances need for an appropriate model that could at any moment that at any moment can monitor inventory and the actual performance available to provide an appropriate framework. . In this paper a matrix model presented has the ability to check the status of real and can be predicted the situation is predicted real and can be a model for decision-making in such circumstances.Another advantage is that the proposed method can be extended discussion of the applicability of its production to companies and organizations. In this paper a matrix model presented has the ability to check the status of real and can be predicted the situation is predicted real and can be a model for decision-making in such circumstances.Another advantage is that the proposed method can be extended discussion of the applicability of its production to companies and organizations.
Blazenko, G. W., & Vandezande, K. (2003). Corporate holding of finished goods inventories. Journal of Economics and Business, 55(3), 255-266.
2. Cohen, Morris & Ernst, Ricardo. (1988). Multi-item classification and generic inventory stock control policies. Production and Inventory Management Journal, 29. 6-8.
3. Elsayed, K., & Wahba, H. (2013). Reinvestigating the relationship between ownership structure and inventory management: A corporate governance perspective. International Journal of Production Economics, 143(1), 207-218.
4. Flores, B. E., & Whybark, D. (1987). Implementing multiple criteria ABC analysis. Journal of Operations Management, 7(1-2), 79-85.
5. Flores, B. E., & Whybark, D. C. (1986). Multiple Criteria ABC Analysis. International Journal of Operations & Production Management, 6(3), 38-46.
6. Guvenir, H. A., & Erel, E. (1998). Multicriteria inventory classification using a genetic algorithm. European Journal of Operational Research, 105(1), 29-37.
7. Hadley, George & Whitin, Thomson M (1963). Analysis of inventory systems. Prentice-Hall, Englewood Cliffs, N. J.
8. Harris, F. (1915). Operations and cost (factory management series). Chicago: A.W.Shaw Co.48-52.
9. Ng, W. L. (2007). A simple classifier for multiple criteria ABC analysis. European Journal of Operational Research, 177(1), 344-353.
10. Pirttilä, T., & Virolainen, V. (1992). An overview of the state and problems of inventory management in Finland. International Journal of Production Economics, 26(1-3).
11. Ramanathan, R. (2006). ABC inventory classification with multiple-criteria using weighted linear optimization. Computers & Operations Research,33(3), 695-700.
12. Timothy, L., Patrick Boniface, O., Nebat Galo, M., and W. Virginia Kirigo. (2013). The Impact of Inventory Management Practices on Financial Performance of Sugar Manufacturing Firms in Kenya. International Journal of Business, Humanities and Technology, 3(5).75-85.
Blazenko, G. W., & Vandezande, K. (2003). Corporate holding of finished goods inventories. Journal of Economics and Business, 55(3), 255-266.
2. Cohen, Morris & Ernst, Ricardo. (1988). Multi-item classification and generic inventory stock control policies. Production and Inventory Management Journal, 29. 6-8.
3. Elsayed, K., & Wahba, H. (2013). Reinvestigating the relationship between ownership structure and inventory management: A corporate governance perspective. International Journal of Production Economics, 143(1), 207-218.
4. Flores, B. E., & Whybark, D. (1987). Implementing multiple criteria ABC analysis. Journal of Operations Management, 7(1-2), 79-85.
5. Flores, B. E., & Whybark, D. C. (1986). Multiple Criteria ABC Analysis. International Journal of Operations & Production Management, 6(3), 38-46.
6. Guvenir, H. A., & Erel, E. (1998). Multicriteria inventory classification using a genetic algorithm. European Journal of Operational Research, 105(1), 29-37.
7. Hadley, George & Whitin, Thomson M (1963). Analysis of inventory systems. Prentice-Hall, Englewood Cliffs, N. J.
8. Harris, F. (1915). Operations and cost (factory management series). Chicago: A.W.Shaw Co.48-52.
9. Ng, W. L. (2007). A simple classifier for multiple criteria ABC analysis. European Journal of Operational Research, 177(1), 344-353.
10. Pirttilä, T., & Virolainen, V. (1992). An overview of the state and problems of inventory management in Finland. International Journal of Production Economics, 26(1-3).
11. Ramanathan, R. (2006). ABC inventory classification with multiple-criteria using weighted linear optimization. Computers & Operations Research,33(3), 695-700.
12. Timothy, L., Patrick Boniface, O., Nebat Galo, M., and W. Virginia Kirigo. (2013). The Impact of Inventory Management Practices on Financial Performance of Sugar Manufacturing Firms in Kenya. International Journal of Business, Humanities and Technology, 3(5).75-85.