A supplier selection and order allocation problem with stochastic demands

2011 ◽  
Vol 42 (8) ◽  
pp. 1323-1338 ◽  
Author(s):  
Yun Zhou ◽  
Lei Zhao ◽  
Xiaobo Zhao ◽  
Jianhua Jiang
Keyword(s):  
Supplier Selection ◽  
Allocation Problem ◽  
Order Allocation ◽  
Stochastic Demands

scholarly journals A Mixed Integer Programming Model for Supplier Selection and Order Allocation Problem with Fuzzy Multiobjective

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Hongtao Hu ◽  
Haotian Xiong ◽  
Yuanfeng You ◽  
Wei Yan
Keyword(s):  
Integer Programming ◽  
Mixed Integer Programming ◽  
Supplier Selection ◽  
Programming Model ◽  
Allocation Problem ◽  
Mixed Integer ◽  
Order Allocation ◽  
Integer Programming Model ◽  
Mixed Integer Programming Model ◽  
Weighted Values

A mixed integer programming model is proposed to solve supplier selection and order allocation problem for a manufacturer. In this model, quality, delivery performance, and purchasing cost are chosen as three criteria to select suppliers and set as objectives. Inventory level, goods flow balance, service level, supply ability, and marketing demand are considered as constraints. In the proposed model, the three objectives have different weights which are given by experts. However, the experts score the weight by many subjective factors. So, the fuzzy analytic hierarchy process (FAHP) based approach is used to calculate the weighted values. In the end, a case study illustrates the advantage of weighted values solved by FAHP. And the result shows that a weighted model is more advantageous for supplier selection and order allocation.

scholarly journals A hybrid meta-heuristics approach for supplier selection and order allocation problem for supplying risks of recyclable raw materials

2021 ◽  
pp. 177-190 ◽  
Author(s):  
Nguyen Hoang Son ◽  
Nguyen Van Hop
Keyword(s):  
Supplier Selection ◽  
Programming Model ◽  
Raw Materials ◽  
Real Life ◽  
Optimal Solution ◽  
Allocation Problem ◽  
Mixed Integer ◽  
Order Allocation ◽  
Supply Risks ◽  
The Right

In this work, a mixed-integer linear programming model is formulated to allocate the appropriate orders to the right suppliers for recyclable raw materials. We modify the previous model for the supplier selection and order allocation problem for stochastic demand to cope with the supply risks of recyclable raw materials such as insufficient supply quantity, defective rate, and late delivery. The optimal solution of the mathematical model is the benchmark for small-sized problems. Then, a hybrid meta-heuristic of Particles Swarm Optimization and Grey Wolf Optimization (PSO-GWO) is proposed to search for the best solution for large-sized problems. A real-life case study of a steel manufacturer with two factories in Vietnam is presented to validate the proposed approach. Some experiments have been tested to confirm the performance of the hybrid PSO-GWO approach.

scholarly journals Improving Supply Chain Performance Through Supplier Selection and Order Allocation Problem

2022 ◽  
Vol 70 (1) ◽  
pp. 1667-1681
Author(s):  
Chia-Nan Wang ◽  
Ming-Cheng Tsou ◽  
Chih-Hung Wang ◽  
Viet Tinh Nguyen ◽  
Pham Ngo Thi Phuong
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Allocation Problem ◽  
Supply Chain Performance ◽  
Order Allocation
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