Resilience Supplier Selection and order allocation under uncertainty

Sahebjamnia, Navid

doi:10.24200/sci.2018.5547.1337

Cited by 8 publications

(5 citation statements)

References 50 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sahebjamnia [28] studied the impact of natural disasters on the supply chain performance and presented a resilient model for supplier selection and order allocation under uncertainty. Based on criteria affecting resiliency, the resiliency weight (RW) is determined using decision making trial and evaluation laboratory (DEMATEL) and ANP.…”

Section: Stochastic Modelsmentioning

confidence: 99%

Modeling a stochastic multi-objective, multi-site, multi-mode, and multi-item supplier selection and order allocation problem

Seifbarghy,

Yargholi,

Hamidi

2024

JIMO

View full text Add to dashboard Cite

Supplier selection and order allocation are important issues in supply chain management. Several features differentiate this research from other studies. The two-echelon supply chain network studied in this research comprises of suppliers and production centers. The supply chain model is a multisite, multi-mode, and multi-item model which incorporates multiple sites for production centers, multiple transportation modes, and multiple purchased items from suppliers. In this model, demand, delivery delay, and percentage of defective items are deemed stochastic parameters. It is assumed that these uncertain parameters have normal distributions with known means and standard deviations. The most significant contribution of this research is incorporating uncertainty with two indicators of mean and standard deviation into a multi-objective model for the supplier selection and order allocation problem. To deal with stochastic demand, the chance constraint approach is applied. The multi-objective optimization model aims to minimize purchasing cost, delivery delay, and defective items. To solve this model, first, a mixed-integer formulation is established to address the order allocation problem. Then, after using the epsilon constraint method, the Torabi-Hassini approach is used to transform the multi-objective model into an equivalent single-objective model. Real data from poultry and dairy industries are used to evaluate the model performance. Sensitivity analysis shows that the most improvements in the objective functions occur when the means and standard deviations of delivery delay and percentage of defective items for suppliers and transportation modes are decreased simultaneously.

show abstract

Section: Stochastic Modelsmentioning

confidence: 99%

Modeling a stochastic multi-objective, multi-site, multi-mode, and multi-item supplier selection and order allocation problem

Seifbarghy,

Yargholi,

Hamidi

2024

JIMO

View full text Add to dashboard Cite

show abstract

“…Some important papers on MCDM in SCR are presented in Table 1. [53] 2014 Fuzzy-AHP and Fuzzy-TOPSIS Authors Year Methodology Used [49] 2014 AHP and Analytic Network Process (ANP) [46] 2016 Fuzzy-VIKOR [54] 2017 Fuzzy-Analytic Network Process (ANP)-VIKOR [55] 2017 AHP, TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), and Quality Function Deployment (QFD) [56] 2017 PROMETHEE, Fuzzy-VIKOR, and Fuzzy-TOPSIS [57] 2017 AHP and Grey Relational Analysis (GRA) [38] 2018b Grey Clustering and VIKOR [47] 2019 Fuzzy Best-Worst Method (BWM) and Grey Multi-objective Robust TOPSIS (GMo-RTOPSIS) [48] 2019 Fuzzy Cognitive Mapping (FCM) and AHP [58] 2019 Decision-Making Trial and Evaluation Laboratory (DEMATEL), TOPSIS, and Elimination Et Choix Traduisant la Realité (ELECTRE) [59] 2020 AHP and TOPSIS [60] 2020 Fuzzy-DEMATEL and ANP [44] 2022 AHP and machin learning methods [61] 2023…”

Section: Mcdm In Scrmentioning

confidence: 99%

Prioritizing Barriers to Resilience in Blood Supply Chains: An Integrated Multi-Criteria Decision-Making Approach

Sibevei,

Roozkhosh

2024

Oper. Res. Forum

View full text Add to dashboard Cite

Supply chains face numerous disruptions in today's dynamic world, and achieving resilience is vital for healthcare systems, especially in the blood supply chain (BSC). However, there are several barriers hindering resilience, and identifying and prioritizing them is essential for developing effective strategies to improve resilience. This study proposes an integrated multicriteria decision-making (MCDM) approach that combines the Best Worst Method (BWM), Delphi, and Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to recognize and prioritize SC resilience barriers in the BSC of Tehran, the largest BSC in Iran. The proposed approach provides real-time results for future improvements, and sensitivity analysis investigates the effects of criteria weights on decision-making. Additionally, the proposed method is compared with two existing methods, namely BWM-VlseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) and BWM-Weighted Aggregated Sum Product Assessment (WASPAS). The results demonstrated that the most critical barriers are a lack of financial resources and the presence of managerial weaknesses at various levels. By highlighting these barriers, the study provides valuable insights for decisionmakers to develop effective strategies and allocate resources to address the identified obstacles and improve the resilience of the blood supply chain.

show abstract

“…The risk of emergencies has a relatively large impact on a company's operations in terms of supply and demand [14,15]. The purpose of each participant in the supply chain (suppliers, manufacturers, distributors, and retailers) is to improve performance [16] or maintain normal operation in the face of emergency disasters. This not only requires companies in the supply chain to have resources, but also the ability to deploy resources and make sustainable plans and preparations in advance.…”

Section: Literature Review and Hypotheses Developmentmentioning

confidence: 99%

Study on the Impact of Supply Chain Dynamic Capabilities on Long-Term Performance of Enterprises

Yan

Yao

et al. 2022

Sustainability

View full text Add to dashboard Cite

The risk of frequent disasters is becoming a huge challenge for enterprises and their supply chains. In particular, sudden global public health events have brought a great test to the supply chain. How to make sustainable planning and preparedness and smoothly carry out supply chain operations and obtain sustainable firm performance in the complex market environment requires urgent attention from industries and academia. The different effects of supply chain operational capability and dynamic capability on the long-term performance and short-term performance of enterprises are still unclear; therefore, a model was established to discuss this. Based on the theory of dynamic capability, a relational model between supply chain dynamic capability, supply chain operational capability, and firm performance was constructed, a hypothesis testing method and Amos software were used to verify the set model, and the mechanisms of supply chain dynamic capability and supply chain operational capability on firm performance were discussed. The empirical results show that supply chain operational capability has a mediating effect on supply chain dynamic capability and firm performance, and supply chain dynamic capability has a moderating impact on supply chain operational capability and firm performance. The supply chain and its enterprises should cultivate and continuously improve the supply chain dynamic capability as soon as possible, so that in the face of emergencies, the supply chain operation capability can be reasonably configured to avoid damage, improve firm performance, and gain competitive advantages.

show abstract

Resilience Supplier Selection and order allocation under uncertainty

Abstract: Increasing the number of disasters around the world will decrease the performance of the supply chain. The decision makers should design resilience supply chain network which could encounter with disruptions. This paper develops an integrated resilience model of

Cited by 8 publications

References 50 publications

Modeling a stochastic multi-objective, multi-site, multi-mode, and multi-item supplier selection and order allocation problem

Modeling a stochastic multi-objective, multi-site, multi-mode, and multi-item supplier selection and order allocation problem

Prioritizing Barriers to Resilience in Blood Supply Chains: An Integrated Multi-Criteria Decision-Making Approach

Study on the Impact of Supply Chain Dynamic Capabilities on Long-Term Performance of Enterprises

Contact Info

Product

Resources

About