Analysis and prioritization of risk factors in the management of Halal supply chain management

Sarwar, Adnan; Zafar, Aqsa; Qadir, Alia

doi:10.1007/s43621-021-00039-6

Cited by 10 publications

(6 citation statements)

References 53 publications

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“…In developing countries, outsourcing practices are not well established, and in the case of halal, it becomes more challenging to choose the right partner for outsourcing. Sarwar et al (2021) claim that outsourcing practices are one of the major challenges of halal logistics. Therefore, it is recommended that halal-producing firms should rely on credible halal certification and try to store their product in a halal warehouse or be transported through halal-certified transportation.…”

Section: Discussionmentioning

confidence: 99%

Exploration of risks with halal logistics: a case of emerging economy

Khan

Haleem

Ngah

et al. 2023

JGOSS

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Purpose Halal logistics play a crucial role in maintaining a product’s “halal integrity” from farm to fork. These logistics operations are exposed to risks during transportation, storage and handling, that negatively affect the halal supply chain’s operational efficiency and integrity. Therefore, the main purpose of this research is to propose a risk assessment framework for halal logistics. Design/methodology/approach Initially, the risks associated with halal logistics are identified through an extensive literature review, and then the significant ones are validated with the expert’s input. After that, an appropriate multicriteria decision-making method named best worst method (BWM) is used to prioritise the identified risks. Finally, the robustness of the obtained ranking is assessed with sensitivity analysis. Findings This research identifies 26 halal logistics risks and then categorises these risks into 6 significant dimensions and proposes a framework. The result obtained from the BWM analysis shows that organisational, transportation and design risks are the primary risks present in halal logistics. Among the halal logistics risks, partnership risk, risk of contamination during transportation and risks of unskilled workers are the top three halal logistics risks that need to be addressed on a priority basis for maintaining halal integrity. Furthermore, this study also suggests some valuable suggestions for mitigating these risks that the logistics providers could use. Research limitations/implications The proposed framework is helpful for the assessment of risks associated with halal logistics. The prioritisation of the identified risks supports the managers in formulating mitigation strategies that might reduce the effect of these associated risks in logistics operations. Originality/value This study focusses on halal logistics, and to the best of authors’ knowledge, this may be the first attempt to systematically examine the risks related to halal logistics.

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Section: Discussionmentioning

confidence: 99%

Exploration of risks with halal logistics: a case of emerging economy

Khan

Haleem

Ngah

et al. 2023

JGOSS

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“…Other studies by Khan et al (2021b) and Kumar et al (2021) claimed that MCDM techniques such as analytical hierarchy process, technique for order of preference by similarity to ideal solution (TOPSIS) and BWM are superior for evaluating risk elements and risk dimensions of the halal food supply chain. Moreover, Sarwar et al (2021) found that the risk of halal food supply chain problems can be solved by MCDM approaches. They examined automatic process risks using Elimination Et Choix Traduisant La Realite II and failure modes and effects analysis (FMEA) to identify and eliminate possible failures and evaluate the risks from design, system and process.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In prioritizing halal risk factors in HSC management, a study by Sarwar et al (2021) found that 42 risk factors were identified in seven dimensions from experts’ opinions. The categorization of risk spans seven dimensions, encompassing market, sustainability, sourcing, logistics and production, information technology, as well as outsourcing and planning-related risks.…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment and risk mitigation on halal meat supply chain using fuzzy best-worst method (BWM) and risk mitigation number (RMN)

Masudin,

Zuliana,

Utama

et al. 2023

JIMA

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Purpose The purpose of this study is to identify the risks that exist in halal meat supply chain activities and to carry out a risk assessment using the fuzzy best-worst method (FBWM) along with mitigating risks using the risk mitigation number (RMN). Design/methodology/approach The method used is to collect several literature reviews related to the halal meat supply chain, which has information relevant to the risks of the meat industry in Indonesia. Then, a focus group discussion was held with several experts who play a role in the meat industry in Indonesia, and 33 identified risks were identified in halal meat supply chain activities. The proposed methodology uses FBWM and RMN in conducting risk assessment and mitigation in the meat industry in Indonesia. Findings The analysis reveals that priority risk is obtained by using the global weight value on the FBWM, and then risk mitigation is carried out with RMN. Priority mitigation strategies can mitigate some of the risks to the meat industry in Indonesia. The proposed mitigation strategy is designed to be more effective and efficient in preventing risks that can interfere with product halalness in halal meat supply chain activities in the Indonesian meat industry. Research limitations/implications The implications of this study highlight the need for collaboration among stakeholders, improved risk assessment methodologies and the expansion of research into other halal supply chains. By addressing these implications, the halal industry can enhance its integrity, consumer confidence and overall contribution to the global market. Originality/value This research provides an integrated approach to identifying, analyzing, assessing and mitigating risks to the meat industry in Indonesia.

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“…A study emphasizes the importance of risk management in faith-based supply chains, particularly the halal supply chain [8]. The study identifies and prioritizes risk elements for managing the Halal Supply Chain (HSC) using a fuzzy best-worst method.…”

Section: Introductionmentioning

confidence: 99%

Halal Supply Chain Risk using Unsupervised Learning Methods for Clustering Leather Industries

Kurniawan,

Lestari,

Mawardi

et al. 2024

IJCDS

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Cowhide plays a significant role in Indonesia's culinary and leather industries. It caters to the preferences of a predominantly Muslim population that emphasizes halal products. Regulatory authorities must understand its characteristics comprehensively to provide effective halal assurance to the diverse entities within Indonesia's leather industry. Traditional statistical methods for assessing halal compliance are inefficient due to the complexity and diversity of the leather industry's supply chain. This study addresses these challenges by employing unsupervised learning methods, specifically K-Means and Hierarchical clustering algorithms to analyze a dataset comprising 100 Cowhide Small and Medium Enterprises (SMEs) located in Garut Regency, West Java Province. This dataset includes 62 features that facilitate the clustering of these industries based on various halal risk factors. Experimental results indicate that the optimal number of clusters is four. The K-Means algorithm outperforms the Hierarchical clustering algorithm with a higher average silhouette score of 0.59 compared to 0.31. Furthermore, the K-Means algorithm demonstrates stability in clustering the data, making it a robust choice for this analysis. These clustering outcomes offer valuable insights into the SMEs operational characteristics and halal compliance risks, significantly enhancing the ability of regulatory authorities to implement effective halal assurance measures. Consequently, this study provides a robust framework for improving halal certification processes and aiding risk management within Indonesia's leather industry.

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Analysis and prioritization of risk factors in the management of Halal supply chain management

Cited by 10 publications

References 53 publications

Exploration of risks with halal logistics: a case of emerging economy

Exploration of risks with halal logistics: a case of emerging economy

Assessment and risk mitigation on halal meat supply chain using fuzzy best-worst method (BWM) and risk mitigation number (RMN)

Halal Supply Chain Risk using Unsupervised Learning Methods for Clustering Leather Industries

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