An integrated chance-constrained stochastic model for efficient and sustainable supplier selection and order allocation

2017 ◽  
Vol 56 (21) ◽  
pp. 6890-6916 ◽  
Author(s):  
Hadi Moheb-Alizadeh ◽  
Robert Handfield
Keyword(s):  
Stochastic Model ◽  
Supplier Selection ◽  
Order Allocation ◽  
Sustainable Supplier Selection

Green supplier selection and order allocation: a nonlinear stochastic model

2020 ◽  
Vol 11 (2) ◽  
pp. 111
Author(s):  
Pooria Hashemzahi ◽  
Amirhossein Azadnia ◽  
Masoud Rahiminezhad Galankashi ◽  
Syed Ahmad Helmi ◽  
Farimah Mokhatab Rafiei
Keyword(s):  
Stochastic Model ◽  
Supplier Selection ◽  
Order Allocation ◽  
Green Supplier Selection ◽  
Nonlinear Stochastic Model

scholarly journals A Model and an Algorithm for a Large-Scale Sustainable Supplier Selection and Order Allocation Problem

Mathematics ◽  
2018 ◽  
Vol 6 (12) ◽  
pp. 325 ◽  
Author(s):  
Jong Soo Kim ◽  
Eunhee Jeon ◽  
Jiseong Noh ◽  
Jun Hyeong Park
Keyword(s):  
Supplier Selection ◽  
Large Scale ◽  
Optimal Solution ◽  
Computer Experiments ◽  
Planning Problem ◽  
Selling Price ◽  
Problem Size ◽  
Order Allocation ◽  
Minimum Order ◽  
Sustainable Supplier Selection

We consider a buyer’s decision problem of sustainable supplier selection and order allocation (SSS & OA) among multiple heterogeneous suppliers who sell multiple types of items. The buyer periodically orders items from chosen suppliers to refill inventory to preset levels. Each supplier is differentiated from others by the types of items supplied, selling price, and order-related costs, such as transportation cost. Each supplier also has a preset requirement for minimum order quantity or minimum purchase amount. In the beginning of each period, the buyer constructs an SSS & OA plan considering various information from both parties. The buyer’s planning problem is formulated as a mathematical model, and an efficient algorithm to solve larger instances of the problem is developed. The algorithm is designed to take advantage of the branch-and-bound method, and the special structure of the model. We perform computer experiments to test the accuracy of the proposed algorithm. The test result confirmed that the algorithm can find a near-optimal solution with only 0.82 percent deviation on average. We also observed that the use of the algorithm can increase solvable problem size by about 2.4 times.

Green supplier selection and order allocation: a nonlinear stochastic model

2020 ◽  
Vol 11 (2) ◽  
pp. 111
Author(s):  
Syed Ahmad Helmi ◽  
Farimah Mokhatab Rafiei ◽  
Masoud Rahiminezhad Galankashi ◽  
Pooria Hashemzahi ◽  
Amirhossein Azadnia
Keyword(s):  
Stochastic Model ◽  
Supplier Selection ◽  
Order Allocation ◽  
Green Supplier Selection ◽  
Nonlinear Stochastic Model
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