Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning

Peng, Min; Peng, Yi; Chen, Hong

doi:10.1016/j.cor.2013.03.003

Cited by 111 publications

(60 citation statements)

References 23 publications

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“…While effectiveness means that achieving a predefined goal can be guaranteed even if conditions are adverse, efficiency refers to minimal spending of resources to reach this goal. The primary purpose of a supply chain is to satisfy customer's demand, (A) Efficiency 42% [50] (C) Balancing Efficiency and Effectiveness 3% [107] (D) None 6%…”

Section: Objective-driven Riskmentioning

confidence: 99%

A critical review on supply chain risk – Definition, measure and modeling

Heckmann

Comes

Nickel

2015

Omega

722

453

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a b s t r a c tEconomic systems are increasingly prone to complexity and uncertainty. Therefore, making wellinformed decisions requires risk analysis, control and mitigation. In some areas such as finance, insurance, crisis management and health care, the importance of considering risk is largely acknowledged and well-elaborated, yet rather heterogeneous concepts and approaches for risk management have been developed. The increased frequency and the severe consequences of past supply chain disruptions have resulted in an increasing interest in risk. This development has led to the adoption of the risk concepts, terminologies and methods from related fields. In this paper, existing approaches for quantitative supply chain risk management are reviewed by setting the focus on the definition of supply chain risk and related concepts.

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Section: Objective-driven Riskmentioning

confidence: 99%

A critical review on supply chain risk – Definition, measure and modeling

Heckmann

Comes

Nickel

2015

Omega

722

453

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“…Supply chain facilities are susceptible to disruption risks due to various failures, such as man-made failures, natural disasters, transportation delay, and power outages [24][25][26]. A lot of researchers have focused on the supply chain reliability and resilience against disruption risks.…”

Section: Disruption Risks In Supply Chainmentioning

confidence: 99%

Reliable Biomass Supply Chain Design under Feedstock Seasonality and Probabilistic Facility Disruptions

2017

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Abstract:While biomass has been recognized as an important renewable energy source which has a range of positive impacts on the economy, environment, and society, the existence of feedstock seasonality and risk of service disruptions at collection facilities potentially compromises the efficiency and reliability of the energy supply system. In this paper, we consider reliable supply chain design for biomass collection against feedstock seasonality and time-varying disruption risks. We optimize facility location, inventory, biomass quantity, and shipment decisions in a multi-period planning horizon setting. A real-world case in Hubei, China is studied to offer managerial insights. Our computational results show that: (1) the disruption risk significantly affects both the optimal facility locations and the supply chain cost; (2) no matter how the failure probability changes, setting backup facilities can significantly decrease the total cost; and (3) the feedstock seasonality does not affect locations of the collection facilities, but it affects the allocations of collection facilities and brings higher inventory cost for the biomass supply chain.

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“…Their model was capable of determining the recovery schedule for the manufacturer and the retailer, and ensuring that the total relevant costs are minimised, while seeking to recover the original schedule by the end of the recovery time window. Peng et al (2014) argued that post-seismic inventory and logistics planning under incomplete and fuzzy information is an important yet understudied area in supply chain risk management. So they proposed a system dynamics model to analyse the behaviours of disrupted disaster relief supply chain by simulating the uncertainties associated with predicting post-seismic road network and delayed information.…”

Section: Literature Reviewmentioning

confidence: 99%

Development of an inventory model for two suppliers with random capacity considering supply disruption

Ahmed

Sultana

Azeem

2017

IJLSM

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Supply disruption occurs for diverse reasons including transportation problem, equipment failure, raw material shortages, natural calamities etc. As a result supplier may become unavailable at random times for random time length. In addition, suppliers may also have random capacities leading to uncertain yield in orders. Again under random supplier capacities, the retailer should order from a number of suppliers in order to diversify the risk associated with shortages. The objective of this paper is to develop an inventory model for two suppliers with random capacities considering supply disruption. A modified (Q, r) model is developed to tackle the problem of future supply uncertainty in response to the demand generated by Poisson process. Two suitable optimisation algorithms are applied to search for the optimal values of the decision variables which are state dependent order quantities and reorder point to minimise the cost per unit time. A hypothetical example and its solution are then provided to have a better understanding about the demonstration of the proposed model. Finally, sensitivity analysis is also carried out to have better insights about the model developed.

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Post-seismic supply chain risk management: A system dynamics disruption analysis approach for inventory and logistics planning

Cited by 111 publications

References 23 publications

A critical review on supply chain risk – Definition, measure and modeling

A critical review on supply chain risk – Definition, measure and modeling

Reliable Biomass Supply Chain Design under Feedstock Seasonality and Probabilistic Facility Disruptions

Development of an inventory model for two suppliers with random capacity considering supply disruption

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