Leverage risks for supply chain robustness against corruption

Liu, Xiaojing; Arthanari, Tiru; Shi, Yangyan

doi:10.1108/imds-10-2020-0587

Cited by 6 publications

(5 citation statements)

References 50 publications

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“…We use P ij to describe the performance when adjusting the variable to the degree of i under the interruption scenario of j, where i represents different adjustment degrees of decision variables and j represents different interruption scenarios. In line with previous research by Liu et al (2019) and Liu et al (2021), this paper uses the relative change P rci instead of absolute change to measure the performance differences, where P rci ¼ ðP i;j 0 − P ij Þ=P ij ; ði ¼ 0; 1; 2; 3; 4; j ¼ 0; 1; 2; 3; 4Þ, P i;j 0 represents the adjusted performance. The lease value of P rci represents the situation where the epidemic has the most negligible impact on SCP, signifying that SC robustness against epidemic achieves the maximum value.…”

Section: Robustness Analysis Of Simulation Resultsmentioning

confidence: 94%

“…In line with previous research by Liu et al. (2019) and Liu et al. (2021), this paper uses the relative change Prci instead of absolute change to measure the performance differences, where Prci=|(Pi,j′−Pij)/Pij|,(i=0,1,2,3,4; j=0,1,2,3,4), Pi,j′ represents the adjusted performance.…”

Section: Model Simulation and Robustness Analysismentioning

confidence: 94%

“…Previous research by Liu et al (2019) and Liu et al (2021) offered the most relevant literature to our work. They regarded corruption as an external factor affecting the supply chain performance (SCP), analyzed the impact of corruption on the dairy SC and proposed the rationale of robustness to mitigate the effects of corruption on supply chains.…”

Section: Supply Chain Robustnessmentioning

confidence: 99%

“…Under normal circumstances, we assume there is always a basic customer demand and a random normal distribution demand that is negative with the product price and positive with SC revenue. In general, the higher the SC revenue, the more technological innovations would be, which would lead to an increase in demand (Bartolini, 2010;Liu et al, 2021). We assume the sensitivity coefficient of price is α and the sensitivity coefficient of technology innovation is γ.…”

Section: Mathematical Formulationsmentioning

confidence: 99%

“…Previous research by Liu et al. (2019) and Liu et al. (2021) offered the most relevant literature to our work.…”

Section: Literature Reviewmentioning

confidence: 99%

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System dynamics modeling and robustness analysis for capital-constrained supply chain under disruption

Zhang

Shi²,

Zhang³

et al. 2022

IMDS

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PurposeThe purpose of this study is to explore mitigation measures for cash flow interruption during the epidemic and provide decision support to ensure the regular operation and robustness of the supply chain (SC).Design/methodology/approachConsidering the scenarios of production capacity and demand disruption during the epidemic, the authors adopt system dynamics (SD) to construct a three-echelon SC financial system consisting of a core manufacturer, a capital-constrained retailer and the customer. In different interruption scenarios, through the decision adjustments of stakeholders, the differences in performance are compared to explore solutions for SC robust optimization.FindingsThe results show that partial credit guarantee (PCG) could solve cash flow interruption and maintain the regular operation of the SC. During epidemic, with the product price increases, the revenue of stakeholders and the robustness are generally negatively correlated. But when the manufacturer's production capacity is fully interrupted, increasing product price is the right decision for the retailer and could simultaneously promote performance and robustness.Originality/valueThis paper primarily focuses on the PCG under the cash flow interruption caused by epidemics. The authors adopt the supply chain finance (SCF) theory and SD method to supplement and expand existing research on interruption management of SC. It is a pioneering study to explore the robustness of the SC financial system under disruptions.

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Section: Robustness Analysis Of Simulation Resultsmentioning

confidence: 94%

Section: Model Simulation and Robustness Analysismentioning

confidence: 94%

Section: Supply Chain Robustnessmentioning

confidence: 99%

Section: Mathematical Formulationsmentioning

confidence: 99%

“…Previous research by Liu et al. (2019) and Liu et al. (2021) offered the most relevant literature to our work.…”

Section: Literature Reviewmentioning

confidence: 99%

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System dynamics modeling and robustness analysis for capital-constrained supply chain under disruption

Zhang

Shi²,

Zhang³

et al. 2022

IMDS

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Blockchain-Enabled Two-Echelon Supply Chains for perishable products using Just in Time inventory Management: A case study of the dairy industry

Nadime,

Benabbou,

Mouatassim

et al. 2023

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)

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Application of Value Stream Mapping for Lean Operation: An Indian Case Study of a Dairy Firm

Kumar

Shankar

2022

Global Business Review

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In recent times, there has been greater awareness of safety issues, emerging risks and challenges in food supply chain. To this effect, transparency, traceability and information flow have become mandatory to minimize waste in the farm to fork supply chain. Furthermore, value stream mapping is well known for detecting and reducing waste in manufacturing by streamlining value-added (VA) activities, minimizing the non-value-added but essential (NVAE) activity, and removing non-value-added (NVA) activities. The processing time of milk collection, processing, storing and supplying dairy products is obtained from the dairy firm located at Rewari, Haryana (North India). With the help of the processing time of each step, we calculated the lead time for the dairy supply chain. A diagram depicting the process is created to represent the operation’s current status known as current stream map. VA, NVAE and NVA activities are identified inside and between each process, depending on its time and resource consumption. The process is evaluated for the possibility of significantly reducing and simplifying it to the minimum possible steps. By decreasing waste, the process throughput speed increases, and the lead time for the dairy supply chain decreases. Implementing the lean tool reduces lead time by approximately 34.79%.

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Leverage risks for supply chain robustness against corruption

Cited by 6 publications

References 50 publications

System dynamics modeling and robustness analysis for capital-constrained supply chain under disruption

System dynamics modeling and robustness analysis for capital-constrained supply chain under disruption

Blockchain-Enabled Two-Echelon Supply Chains for perishable products using Just in Time inventory Management: A case study of the dairy industry

Application of Value Stream Mapping for Lean Operation: An Indian Case Study of a Dairy Firm

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