An optimization model for concurrent selection of tolerances and suppliers
Computers and Industrial Engineering
Vendor selection in outsourcing
Computers and Operations Research
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Fuzzy hierarchical TOPSIS for supplier selection
Applied Soft Computing
A fuzzy supplier selection model with the consideration of benefits, opportunities, costs and risks
Expert Systems with Applications: An International Journal
The analytic network process for partner selection criteria in strategic alliances
Expert Systems with Applications: An International Journal
Analytic network process and multi-period goal programming integration in purchasing decisions
Computers and Industrial Engineering
An integrated fuzzy-lp approach for a supplier selection problem in supply chain management
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A new TOPSIS-based multi-criteria approach to personnel selection
Expert Systems with Applications: An International Journal
Application of fuzzy analytic network process for supplier selection in a manufacturing organisation
Expert Systems with Applications: An International Journal
Supplier selection and order allocation based on fuzzy SWOT analysis and fuzzy linear programming
Expert Systems with Applications: An International Journal
Fuzzy DEMATEL method for developing supplier selection criteria
Expert Systems with Applications: An International Journal
A combined methodology for supplier selection and performance evaluation
Expert Systems with Applications: An International Journal
Supplier selection and performance evaluation in just-in-time production environments
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
In a highly competitive scenario, suppliers play a vital role in making a business organization successful. Business of any organization is continuous process and therefore the supplier selection is also dynamic in nature. This is quite natural as the organization's demand; supplier's capacity, quality level, lead time, unit part cost and fixed transportation cost of supplier varies with time. Therefore, supplier identified for one period may not necessarily be same for the next period to supply the same set of parts. Hence, the supplier selection problem is highly dynamic in real practice. In this paper, a mixed-integer non-linear program (MINLP) is developed to address the dynamic supplier selection problem (DSSP). To validate the proposed MINLP data are generated randomly. A numerical illustration is also provided to demonstrate the proposed MINLP using LINGO.