Supplier selection and order allocation problem through option contracts under supply disruption risks

2020 ◽  
Vol 11 (4) ◽  
pp. 308
Author(s):  
Masoud Rabbani ◽  
Ali Reza Nazari Estahbanati ◽  
Soroush Aghamohamadi Bosjin
Keyword(s):  
Supplier Selection ◽  
Allocation Problem ◽  
Order Allocation ◽  
Supply Disruption ◽  
Option Contracts ◽  
Disruption Risks

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 Interactive Fuzzy Multi Criteria Decision Making Approach for Supplier Selection and Order Allocation in a Resilient Supply Chain

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 137 ◽  
Author(s):  
Sonia Mari ◽  
Muhammad Memon ◽  
Muhammad Ramzan ◽  
Sheheryar Qureshi ◽  
Muhammad Iqbal
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Fuzzy Optimization ◽  
Order Allocation ◽  
Supply Networks ◽  
Supply Chain Resilience ◽  
Fuzzy Environment ◽  
Selection Decisions ◽  
Low Probability ◽  
Disruption Risks

Modern supply chains are vulnerable to high impact, low probability disruption risks. A supply chain usually operates in such a network of entities where the resilience of one supplier is critical to overall supply chain resilience. Therefore, resilient planning is a key strategic requirement in supplier selection decisions for a competitive supply chain. The aim of this research is to develop quantitative resilient criteria for supplier selection and order allocation in a fuzzy environment. To serve the purpose, a possibilistic fuzzy multi-objective approach was proposed and an interactive fuzzy optimization solution methodology was developed. Using the proposed approach, organizations can tradeoff between cost and resilience in supply networks. The approach is illustrated using a supply chain case from a garments manufacturing company.

A joint supplier selection and order allocation model with disruption risks in centralized supply chain

2019 ◽  
Vol 127 ◽  
pp. 734-748 ◽  
Author(s):  
Elham Esmaeili-Najafabadi ◽  
Mohammad Saber Fallah Nezhad ◽  
Hamid Pourmohammadi ◽  
Mahboobeh Honarvar ◽  
Mohammad Ali Vahdatzad
Keyword(s):  
Supply Chain ◽  
Supplier Selection ◽  
Order Allocation ◽  
Allocation Model ◽  
Disruption Risks

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.

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