Medication supply chain risk management for a brazilian home care provider: a business sustainability study

Oliveira, Uálison Rébula de; Muniz, Micheli de Almeida; Anaia, Luiz André; Rocha, Henrique

doi:10.1016/j.clscn.2021.100018

Cited by 13 publications

(7 citation statements)

References 86 publications

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“…They solved the model with the help of improved genetic algorithm (IGA) and an improved particle swarm optimization (IPSO). SCRM was emphasised by de Oliveira et al [15] to achieve long-term business sustainability. They conducted a field study for a Brazilian company to evaluate and identify potential risks in health services.…”

Section: Literature Reviewmentioning

confidence: 99%

A supply chain risk assessment index for small and medium enterprises in post COVID-19 era

Babu¹,

Yadav

2023

Supply Chain Analytics

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Section: Literature Reviewmentioning

confidence: 99%

A supply chain risk assessment index for small and medium enterprises in post COVID-19 era

Babu¹,

Yadav

2023

Supply Chain Analytics

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“…We begin by identifying the main sources of risk faced by a firm when operating a generalized green supply chain (see Column #1 of Table 10). These risk factors were obtained by reviewing the relevant literature, particularly the studies by Giannakis & Papadopoulos (2016), Mangla et al (2018), de Oliveira et al (2022, Kumar et al (2019), andMedina-Serrano et al (2021). The reader is referred to Section 2.3.2 for detailed descriptions of these papers.…”

Section: Application In a Generalized Green Supply Chain: Methods And...mentioning

confidence: 99%

An efficient stopping rule for mitigating risk factors: Applications in pharmaceutical and generalized green supply chains

Herbon,

Tsadikovich

2023

Decis. Mak. Appl. Manag. Eng.

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Risks in supply chains are first identified and then prioritized based on their probability of occurrence and their impact. Attempts to mitigate risks in the absence of complete and accurate information about their likelihood and impact may constitute a significant waste of resources. Since the resources available for risk management are usually limited, firms need to know how to allocate these funds appropriately. That is, a strategy is required to determine which risks are a priority in terms of acquiring complete and accurate information. We develop a model that incorporates two conflicting terms to address this issue. The first, captured by entropy, measures the resources wasted due to risk factors for which there is inaccurate information about the probability of occurrence and impact. The second is the cost associated with the efforts expended in collecting accurate information about risk factors. To solve the model, we propose a stopping-rule algorithm. Its efficiency is verified using data gathered from a real-world pharmaceutical and generalized green supply chains. Numerous computerized experiments show that the stopping-rule algorithm prevails over the widely used risk-management Pareto rule, and that the algorithm is able to achieve the optimal solution in 94% of investigated cases.

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“…Risk is the possibility of a deviation from expectations that can cause losses to the company. These risks can arise from both internal and external companies [3]. Companies must identify and understand potential supply chain risks, such as supply instability, demand fluctuations, policy changes, quality problems, and operational disruptions [4].…”

Section: Industrial Engineering Advance Research and Applicationmentioning

confidence: 99%

Application of house of risk to analyze supply chain risks in MSMEs (food processing industry)

Wahyuni,

Trenggonowati,

Ibrahim

et al. 2023

JISS UNTIRTA

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Supply chain risk management plays a pivotal role for businesses, regardless of their size-be it large industries or Micro, Small, and Medium Enterprises (MSMEs). Even in MSMEs, supply chain risk management is crucial to mitigate potential risks stemming from various events. Consider BS, an MSME producing bread in Cilegon city, established in 2020, aspiring for market expansion. However, BS faces internal challenges such as fluctuating flour availability, recurring machine breakdowns twice a month, and consumer returns due to order discrepancies. Thus, this study aims to analyze supply chain risks to proactively prevent these recurrent events. The method employed here is the House of Risk. Through data processing, 32 risk events were identified by mapping supply chain activities based on the SCOR principle. From these events, 18 risk agents were derived, highlighting critical areas that require resolution. Employing a Pareto diagram, six priority risk agents have been identified for immediate resolution.

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Medication supply chain risk management for a brazilian home care provider: a business sustainability study

Cited by 13 publications

References 86 publications

A supply chain risk assessment index for small and medium enterprises in post COVID-19 era

A supply chain risk assessment index for small and medium enterprises in post COVID-19 era

An efficient stopping rule for mitigating risk factors: Applications in pharmaceutical and generalized green supply chains

Application of house of risk to analyze supply chain risks in MSMEs (food processing industry)

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