A hybrid FCM-AHP approach to predict impacts of offshore outsourcing location decisions on supply chain resilience

López, C.; Ishizaka, Alessio

doi:10.1016/j.jbusres.2017.09.050

Cited by 74 publications

(41 citation statements)

References 75 publications

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“…They considered benefits, opportunities, costs, and risks as resilience criteria. López and Ishizaka [15] proposed a coupled method of FCM and AHP for supplier selection for a resilient supply chain. Recently, Jabbarzadeh, Fahimnia and Sabouhi [17] proposed stochastic bi-objective optimization model considering fuzzy c-means to developed sustainable supply chain network that performs resiliently.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Thus it crucial to provide a reliable level of resilience to the supply side to protect such shortages especially during HILP events [9].Several studies have been conducted to consider resilience in the supply chain [8,10,11]. The concept of resilience in specific to the supplier selection problem has also been discussed by several authors [12][13][14][15][16][17][18][19][20][21][22][23][24][25]. Most of these studies focused on multiple sourcing and operational performance of suppliers.…”

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confidence: 99%

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

et al. 2019

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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.

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Section: Literature Reviewmentioning

confidence: 99%

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confidence: 99%

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

et al. 2019

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“…The decision maker tries to locate a set of facilities to satisfy all the demand while taking into account of random facility disruptions. Similar to Snyder & Daskin [13], two types of facilities are considered: (1) unreliable facilities, which are subject to random disruptions; and (2) reliable facilities, which are not subject to random disruptions by additional hardened investment. In order to satisfy the whole demand region, each subregion would be served by allocating a reliable/unreliable facility as its initial allocation, where 1 − q is the probability that the facility is available.…”

Section: Model Formulationmentioning

confidence: 99%

“…Various risk incidents, e.g., natural disasters, key-supplier bankruptcy, labor strikes, or terrorist attacks, showed that the business environment is becoming more and more uncertain and fragile [8][9][10]. Furthermore, wide spreading global procurement, decentralized production, outsourcing, supplier reduction, minimizing inventory, etc., increased the supply chain vulnerability, and highlighted the importance and urgency of proactive supply chain disruption risk management [11][12][13]. Therefore, the reliable facility location problem (RFLP) with the disruption risk factor considered is an important topic which needs the further investigation of scholars and practitioners.…”

Section: Introductionmentioning

confidence: 99%

An Improved Voronoi-Diagram-Based Algorithm for Continuous Facility Location Problem under Disruptions

Wang

2018

Sustainability

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The classical location models implicitly assume that the facilities, once built, will always operate as planned. However, some of the facilities may become unavailable from time to time due to disruptions which highlight the urgent need to effectively manage supply chain disruptions in spite of their low probability of occurrence. Therefore, it is critical to take account of disruptions when designing a resilient supply chain network so that it performs well as a whole even after an accidental disruption. In this paper, a stylized facility location problem is considered in a continuous plane which is solved through an improved Voronoi-diagram-based algorithm under disruption risks. The research problem is to minimize the total cost in normal and failure scenarios. Furthermore, the impact of misestimating the disruption probability is also investigated. The results numerically show that although the estimated disruption probability has a significant impact on the facilities configuration, it has a minor impact on the total quantity of facilities and the expected total cost. Therefore, this paper proposes that the decision-maker should moderately overestimate disruption risk based on the “pessimistic principle”. Finally, the conclusion considers managerial insights and proposes potential areas for future research.

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“…Even though AHP is commonly used, this algorithm cannot adequately resolve the inherent uncertainties and imprecisions associated with mapping decision maker's perceptions into exact numbers [16]. Hence, numerous previous studies have combined the fuzzy set theory with AHP to solve uncertain issues [26][27][28][29][30][31]. Zhü [32] proposed that fuzzy AHP (FAHP) cannot resolve uncertain questions.…”

Section: Introductionmentioning

confidence: 99%

Optimal Core Operation in Supply Chain Finance Ecosystem by Integrating the Fuzzy Algorithm and Hierarchical Framework

Lin¹

2020

IJCIS

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Supply chain finance (SCF), which has the key concept of the delivery of credit, is a new type of financial service that can enhance the financial efficiency of a supply chain. Using the transaction records from the core operations (CO) of the members, financers can provide a higher level of cash flow to the ecosystem. Moreover, financial sectors can upgrade their operations through SCF activities. However, while SCF services can help financial sectors improve their operations, there are many risks implied in SCF activities from CO to relative members. Therefore, this paper presents a novel model that applies a combination of triangular fuzzy numbers and the analytic hierarchy process (AHP) to the decision-making process to evaluate the decision behaviors regarding the preference the CO in the smartphone industry supply chain for financers in the SCF service. Academically, the FAHP-based decision-making framework can provide the decision makers and administrators of financial institutions with valuable guidance for measuring the optimal CO of the smartphone industry in the SCF ecosystem. Commercially, the proposed model could provide administrators with a useful tool to assess the optimal CO of the smartphone industry within the SCF ecosystem for financers.

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A hybrid FCM-AHP approach to predict impacts of offshore outsourcing location decisions on supply chain resilience

Cited by 74 publications

References 75 publications

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

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

An Improved Voronoi-Diagram-Based Algorithm for Continuous Facility Location Problem under Disruptions

Optimal Core Operation in Supply Chain Finance Ecosystem by Integrating the Fuzzy Algorithm and Hierarchical Framework

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