Meat Supply Chain Research Articles

Forecasting and planning for a critical infrastructure sector during a pandemic: Empirical evidence from a food supply chain

The meat supply chain (MSC) – a key constituent of the ‘Food & Agriculture’ CISA critical infrastructure sector, was among the most impacted by the COVID-19 pandemic. The witnessed successive demand and supply shocks uncovered the fragility of the MSC and revealed that more attention should be given by researchers and practitioners to ensure effective planning of such a critical infrastructure sector during periods of turbulence. To that end, in this paper we propose a two-stage approach for the planning of an MSC. In the first stage, we identify the most suitable model for predicting the demand and the supply. In the second stage, a multi-period multi-product mixed integer programming (MIP) model accounting for key MSC features is devised to deal with the planning of the MSC. Furthermore, in order to validate our theoretical proposition, a case study pertaining to a real-life MSC was used during the second and first wave of COVID-19 under different conditions. In particular, the results show that accurate demand and supply forecasting, and the recourse to rolling horizon planning approach, allow for satisfying the demand and maintaining the MSC profit in periods of turbulence, and so can be considered as levers for supply chain resilience.

Leveraging supply chain collaboration with digital technologies for supply chain performance: an empirical investigation of Indian meat industries

SummaryThe meat industry plays a vital role in India's economy, contributing significantly to employment and GDP. In recent years, there has been a growing interest in digitalising the meat supply chain in India to address these challenges and enhance efficiency, transparency, and traceability. Digitalisation enables real‐time monitoring of environmental conditions, such as humidity and temperature, during storage and transportation, ensuring optimal preservation of meat products. Government initiatives, such as the Digital India programme and the Atma‐Nirbhar Bharat Abhiyan, provide support and incentives to foster digitalisation in the meat industry and other sectors. This study analysed the implementation of digital technologies and supply chain performance as the involvement of top management commitment is crucial while carrying out this task. It supports that the implementation of digital technologies would lead to an increase in supply chain collaboration and it further would lead to an increase in supply chain performance. This study will help robust and more unified supply chain by connecting the stakeholders digitally as well as by applying digital technologies for smooth industry operations.

Quantitative assessment of food safety interventions for Campylobacter spp. and Salmonella spp. along the chicken meat supply chain in Burkina Faso and Ethiopia

Rural and small-scale chicken farming is a major source of income in most African countries, and chicken meat is an important source of nutrients. However, chicken meat can be contaminated with Campylobacter spp. and Salmonella spp., pathogens with a high reported burden of foodborne illnesses. Therefore, it is essential to control these pathogens in chicken meat. Quantitative microbial risk assessments (QMRA) can aid the development of effective food safety control measures and are currently lacking in chicken meat supply chains in the African context. In this study, we developed stochastic QMRA models for Salmonella spp. and Campylobacter spp. in the chicken meat supply chain in Burkina Faso and Ethiopia employing the modular process risk model in @Risk software. The study scope covered chicken farming, transport, slaughtering, consumer handling, and consumption. Effectiveness of candidate interventions was assessed against baseline models' outputs, which showed that the mean annual Campylobacter spp. risk estimates were 6482 cases of illness per 100,000 persons and 164 disability adjusted life years (DALYs) per 100,000 persons in Burkina Faso, and 12,145 cases and 272 DALYs per 100,000 persons in Ethiopia. For Salmonella spp., mean annual estimates were 2713 cases and 1212 DALYs per 100,000 persons in Burkina Faso, and 4745 cases and 432 DALYs per 100,000 persons in Ethiopia. Combining interventions (improved hand washing plus designated kitchen utensils plus improved cooking) resulted in 75 % risk reduction in Burkina Faso at restaurants and 93 to 94 % in Ethiopia at homes for both Salmonella spp. and Campylobacter spp. For Burkina Faso, adding good hygienic slaughter practices at the market to these combined interventions led to over 91 % microbial risk reduction. Interventions that involved multiple food safety actions in a particular step of the supply chain or combining different interventions from different steps of the supply chain resulted in more risk reduction than individual action interventions. Overall, this study demonstrates how diverse and scanty food supply chain information can be applied in QMRA to provide estimates that can be used to stimulate risk-based food safety action in African countries.

Decellularized banana leaves: eco-friendly scaffolds for cell-based seafood

Cellular agriculture holds the potential to address sustainability, food security, and agricultural resilience. Within the cell-based meat supply chain, one of the key steps is developing sustainable scaffolding. In this study, we evaluated the impact of decellularized banana leaves, various coating materials including soy protein and gelatine, and different cell seeding strategies on cell viability, cell growth, cell alignment, and the response of the materials to thermal processing. Kinetics of the quality degradation of the scaffolds with and without cells were determined through kinetics equations. The efficiency of decellularization was verified through DNA quantification, which decreased from 445 ng/mg in fresh banana leaves to non-detectable levels in the decellularized samples. The alignment of cells on gelatin-coated samples was the highest among the samples, with a dominant orientation of 65.8°, compared to soy-coated and uncoated samples, with dominant orientations of 9.2° and −6.3°, respectively. The kinetics of shrinkage indicated that coating with soy and the presence of cells increased the activation energy due to the higher energy required for protein denaturation. The kinetics of area changes in plain scaffolds without cells followed a first-order pattern, while with seeded cells a second-order pattern was followed. Overall, the results showed that decellularized banana leaves provide sustainable scaffoldings for cellular agriculture applications. In addition, soy coating provided many benefits for decellularized samples by supporting cell adhesion and cell proliferation.

Carbon emission oriented life cycle assessment and optimization strategy for meat supply chain

Reducing greenhouse gas (GHGs) emissions is imperative to achieve sustainable meat production and supply. Few previous studies have assessed the carbon emissions of the whole meat supply chain from the sheep fattening stage to the meat distribution stage. Therefore, this study established a boundary model of the carbon emission system of the mutton supply chain and adopted the life cycle assessment (LCA) method to comprehensively analyze the carbon emissions during breeding, transportation, processing, and distribution, and then assessed the overall carbon emissions, and optimized the route planning of the supply chain subsystems using improved genetic algorithms (GA) in order to reduce energy consumption and carbon emissions. The results show (1) The fattening sheep process generates a relatively large share of carbon emissions, but the unit emissions are stable. The carbon emissions from the transportation and marketing phases are lower than those from the fattening phase, but their carbon emissions are uncertain, which is the focus of optimization. (2) By optimizing the routes of the subsystems in the life cycle analysis model, carbon emissions due to changes in route planning can be reduced by 24.19%. Therefore, life cycle analysis can comprehensively assess the carbon emissions and total carbon emissions of each link in the mutton supply chain, and the optimization strategy plays an important role in energy consumption and carbon emissions.

Breaking the cycle of inertia in food supply chains: a systems thinking approach for innovation and sustainability

PurposeAmidst compounding crises and increasing global population’s nutritional needs, food supply chains are called to address the “diet–environment–health” trilemma in a sustainable and resilient manner. However, food system stakeholders are reluctant to act upon established protein sources such as meat to avoid potential public and industry-driven repercussions. To this effect, this study aims to understand the meat supply chain (SC) through systems thinking and propose innovative interventions to break this “cycle of inertia”.Design/methodology/approachThis research uses an interdisciplinary approach to investigate the meat supply network system. Data was gathered through a critical literature synthesis, domain-expert interviews and a focus group engagement to understand the system’s underlying structure and inspire innovative interventions for sustainability.FindingsThe analysis revealed that six main sub-systems dictate the “cycle of inertia” in the meat food SC system, namely: (i) cultural, (ii) social, (iii) institutional, (iv) economic, (v) value chain and (vi) environmental. The Internet of Things and innovative strategies help promote sustainability and resilience across all the sub-systems.Research limitations/implicationsThe study findings demystify the structure of the meat food SC system and unveil the root causes of the “cycle of inertia” to suggest pertinent, innovative intervention strategies.Originality/valueThis research contributes to the SC management field by capitalising on interdisciplinary scientific evidence to address a food system challenge with significant socioeconomic and environmental implications.

Microbial Contamination and Meat Handling Practices in Hawassa City Butcher Shops, Ethiopia.

Unsafe meat handling in butcher shops exacerbates microbial contamination, contributing to widespread food-related infections, particularly in developing countries like Ethiopia. In Ethiopia, microbial contamination in the meat supply chain is pervasive due to limited knowledge, inadequate hygiene practices, insufficient training, poor enforcement of food safety standards, and the absence of advanced diagnostic tools and regular microbial testing. This study aimed to assess the microbial load of meat, its contact surfaces, and meat handling practices of butcher shop workers in Hawassa city, Ethiopia. A cross-sectional study was conducted from March to April 2023 among butcher shop workers in Hawassa city, Ethiopia. One hundred forty-four (144) swab samples were collected, and the microbial load was evaluated by serial dilution method and counted using standard procedures. A total of 52 workers were interviewed to assess meat handling practices. Descriptive statistics were used to analyze survey and laboratory data. The findings of this study revealed that the levels of Total Plate Count, Enterobacteriaceae, and staphylococci from meat samples collected from the butchers were 6.14, 5.58, and 5.23, respectively. The levels of Total Plate Count, Enterobacteriaceae, and staphylococci in the swab samples collected from knives, chopping boards, and weighing boards were 5.66, 5.27, and 5.28; 5.61, 5.33, and 5.03; and 5.29, 4.97, and 4.91, respectively. In the butcher shops, 83% of the meat was exposed to flies without protection, and 64% of meat handling equipment was not disinfected. The Total Plate Count, Enterobacteriaceae and staphylococci levels in meat samples and swab samples collected from knives, chopping boards, and weighing boards were above acceptable levels. These findings suggest the presence of potential pathogenic microorganisms, likely due to poor personal hygiene of the workers, inadequate cleaning and sterilization in the butcher shops, and cross-contamination from sources, including paper money handled, and skin contact.

Analysis of Meat Microbial Contamination on the Beef Supply Chain in Makassar City

The source of bacterial contamination begins when the animal is slaughtered until the meat is consumed. Slaughterhouses (RPH), slaughterhouses (TPH) and traditional markets are the greatest possibility for meat to be contaminated with bacteria. The research began by taking samples of fresh beef purchased from the Makassar City Slaughterhouse (RPH), Slaughterhouse (TPH) and sales stalls in the market. The meat samples that were obtained were then tested for TPC, Escherchia coli, Salmonella sp, pH, meat color and water holding capacity at the UPT Laboratory for Quality Testing of Livestock Products at the South Sulawesi Province Animal Husbandry and Animal Health Service. It was concluded that there was e-coli microbial contamination in beef originating from RPH and TPH, salmonella showed negative results and the total plate count (TPC) was still within normal limits for microbial contamination and there was an influence of handling meat originating from RPH in the meat supply chain on meat quality of food products of animal origin.

Uma análise empírica da flutuação do preço da carne suína na China com o modelo autorregressivo de heterocedasticidade condicional

ABSTRACT: Pork price fluctuations are closely related to the national economy and people’s livelihoods in China. Based on the monthly pork price fluctuations in China from January 2011 to August 2022, this study uses ARCH family models to assess the characteristics and laws of these fluctuations in China. The pork price fluctuations show obvious clustering, with external shock information from the previous month affecting the pork price in the following period; the pork market price is characterized by risk compensation, with the high risk of pork supply driving the pork price up. In addition, the pork price fluctuations are characterized by asymmetry, with a greater impact of good than of bad news on the pork price. Due to the pork industry’ low entry threshold and the existence of sunk costs, positive information on the pork market has a stronger impact on price fluctuations than negative information. To guide pork supply, we recommend improving monitoring and early-warning mechanisms in the pork market to identify the pork price volatility threshold and measure the price volatility. In addition, price index insurance products should be constantly strengthened, with different types of insurance products being offered to meeting the insurance demand of various sectors in the pig meat supply chain.

Probiotics isolated from the shubat in chicken meat production: importance and HACCP analysis

Probiotics are becoming more widely acknowledged as a safe and effective alternative to antibiotics for improving the safety of chicken meat. The investigation of potential hazards throughout the chicken meat supply chain enables a thorough assessment of contamination risks, allowing for the establishment of control and corrective actions within the corresponding processes. The ultimate goal is to ensure the safety of chicken meat for consumers. The objective of this study is to ascertain the potential risks that may arise inside the chicken production process, encompassing physical, chemical, and biological factors, with the identification of critical control points (CCPs). The study is also aiming to identify corrective strategies and approaches for decreasing the hazards associated with using of probiotics obtained from shubat. The research conducted involved conducting microbiological evaluations to test the ability of probiotics to withstand the presence of pathogenic bacteria. Additionally, the study examined the use of probiotics in chicken production, employing careful monitoring and comprehensive analyses to figure out the effectiveness of the supplements. For hazard identification and risk assessment, the Hazard Analysis and Critical Control Points (HACCP) approach was used, with the key findings showing that the most critical activities throughout the entire chain pertained to the use of probiotics as an alternative to antibiotics.

LC-MS/MS analysis of coccidiostats in meat supply chain safety.

The presence of coccidiostats in meat products represents an important topic because of the animal administration of these substances, authorized as feed additives for targeted species, in order to prevent and inhibit coccidiosis. Coccidiostats include both ionophores and synthetic molecules characterized by different chemical-physical properties such as polarity. Meat is a matrix characterized by many interfering compound groups, such as proteins, phospholipids, and fats. High-performance liquid chromatography (HPLC) coupled to mass spectrometry (MS) analysis allows the required selectivity and sensitivity for discriminating analytes and matrix interferences. For these reasons, an LC-MS/MS method for the analysis of coccidiostats in meat products was developed without SPE purification steps. The correct analyte quantification is allowed by matrix-matched calibration. The method validation was performed by the replicated analysis of spiked meat samples at two different concentration levels (limit of quantification-LOQ-and a 10 times LOQ) in order to evaluate method recovery and repeatability, plus spiked samples at higher concentrations up to 10,000 μg/kg. Moreover, the metrological approach was used for the calculation of method uncertainty. The application of the developed method to real samples evidenced the presence of some non-ionophores coccidiostats in the meat and liver of chicken and rabbit species. Although, the determined concentration was below the established MRLs, the monitoring of coccidiostats in the meat supply chain is confirmed as a good strategy in order to safeguard consumer health.

Designing robust green sustainable supply chain network by bi-objective optimization method

Designing a green supply chain is becoming popular in the context of sustainable development. To address this academic concern, this paper designs a multi-product, multi-echelon green supply chain network (GSCN) from economic and environmental aspects. During the modeling process, the main challenge is to access the accurate probability distributions of uncertain parameters from limited historical data. To overcome this difficulty, this paper develops a distributionally robust design framework for bi-objective GSCN, where the distribution information of uncertain parameter is partially available and characterized by ambiguity sets. For the tractability, this paper discusses robust counterpart reformulation under Wasserstein-distance-based ambiguity sets. Finally, the obtained mixed integer programming model is resolved via commercial optimization software. To validate the proposed optimization framework, we design a meat supply chain network for a Chinese realistic food enterprise. The computational results demonstrate that the proposed distributionally robust model can provide reliable solutions compared with stochastic optimization method.

A Multi-objective integrated approach to address sustainability in a meat supply chain

Many supply chains have taken action to consider the principles of sustainability in their business over the past two decades. However, addressing sustainability is still a challenge due to imposing some restrictions. This could be more challenging in a food supply chain because of consuming a large amount of natural resources and its connection to public health. Regarding this significance, this research develops a mechanism to integrate all the primary functions of a meat supply chain given three pillars of sustainability: (i) cost, (ii) social aspect, and (iii) environmental aspect. To this end, we develop a three-objective mathematical formulation to integrate supplier selection, production planning, and product distribution in a meat supply chain. This study also identifies criteria representing suppliers’ impact on the environment and utilizes a Stochastic Analytic Hierarchy Process (SAHP) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) methods to gauge that impact and evaluate suppliers’ scores. Furthermore, a solution method is designed based on the Normalized Normal Constraint method to generate Pareto-optimal solutions. Lastly, we apply the developed mathematical formulation and the solution methodology using a numerical study inspired by a real case in Ontario, Canada. The results demonstrate that the developed solution methodology can generate diverse and practical Pareto-optimal solutions in which social and environmental aspects could be improved significantly by incurring a minor extra cost.

The Hygienic Quality of Meat Produced in a Lgeria: Meta-Analysis

Abstract This meta-analysis aims to provide a comprehensive overview of the hygienic quality of meat in the context of Algerian meat production. A systematic literature search was conducted across various databases, yielding a pool of studies assessing the microbial contamination levels in different types of meat, including: poultry, beef, lamb, camel, sausages, and minced meat, within Algerian slaughterhouses and butcheries. A total of 25 studies met the inclusion criteria, with a combined sample size of 550 meat samples. The selected studies employed standardized methods for microbial enumeration: Total aerobic mesophilic bacteria (TAMB). The collected data were synthesized using random-effects meta-analysis models to estimate the pooled mean bacterial counts, as well as to explore potential sources of heterogeneity. The results of this meta-analysis, revealed considerable variation in bacterial counts across different meat types and sources. The overall pooled, mean bacterial count was 5.15 colony-forming units per gram (CFU.g−1), with significant heterogeneity observed (I² = 87.52 %, P < 0.001). Subgroup analyses indicated that bacterial counts were notably higher in butcher shops, highlighting the need for targeted interventions to improve hygiene practices in these areas. Furthermore, sensitivity analyses were conducted to assess the influence of individual studies on the overall results, and publication bias was evaluated through a funnel plot. In conclusion, this meta-analysis provides valuable insights into the hygienic quality of meat in Algerian meat production, emphasizing the significance of TAMB as an informative indicator. The observed variations in bacterial counts underscored the importance of hygiene practices throughout the meat supply chain, from farm to consumer.

Multidrug-Resistant Staphylococcus aureus Strains Thrive in Dairy and Beef Production, Processing, and Supply Lines in Five Geographical Areas in Ethiopia.

Livestock, farms, abattoirs, and food supply systems can become the source of foodborne pathogens, including S. aureus, in the absence of monitoring, general hygienic practices, and control. Studies are scarce on reservoirs (hiding places) and routes of entry of S. aureus into the food supply chain in Ethiopia. To fill these gaps, we evaluated the role of cows (milk), meat, equipment, and food handlers on the abundance and AMR of S. aureus in five geographical areas in central Oromia, Ethiopia. We isolated S. aureus from 10 different ecologies per area in 5 areas and tested their sensitivity to 14 antimicrobials of 9 different classes. We ranked the 5 areas and 10 ecologies by computing their multiple AMR index (MARI) at a cut-off value of 0.2 to determine 'high-risk' ecologies for AMR. We recorded as MDR if an isolate had resistance to ≥3 antimicrobial classes. We used a circos diagram to analyze if isolates with identical AMR patterns were shared between different ecologies. S. aureus is prevalent in central Oromia (16.1-18.3%), higher in dairy farms than in abattoirs, and varied among 10 ecologies (p < 0.001) but not among 5 areas (p > 0.05). Of the 92 isolates, 94.6% were penicillin-resistant. Their AMR prevalence was above 40% for 9 of 14 antimicrobials. All isolates (100%) had AMR in at least one antimicrobial class (range = 1-9; median = 5), indicating MDR was prevalent. The prevalence of MDR S. aureus varied (p < 0.05) among areas and 10 ecologies; the highest was in slaughter lines. All isolates had a MARI of >0.2, indicating drug overuse, and S. aureus's AMR burden is high in central Oromia. Dairy farms had higher MARI values (0.44) than abattoirs (0.39). Of 10 ecologies, the highest and lowest MARI values were in the beef supply chain, i.e., slaughter line (0.67) and butcher's hand (0.25). Of the 68 different AMR patterns by 92 isolates against 14 antimicrobials, 53 patterns (77.9%) were unique to individual isolates, indicating they were phenotypically dissimilar. MDR S. aureus was widespread in central Oromia in dairy and meat supply chains, contaminating milk, meat, equipment, and workers in farm and abattoir settings. In the absence of strict regulations and interventions, MDR S. aureus can be disseminated from these epicenters to the public.

RESEARCH ON THE HALAL MEAT TREND

The halal meat industry is one of the latest business trends in the world. The importance of halal meat is to maintain the continuity of the halal production process so that the quality and safety of meat is guaranteed until it reaches consumers. This paper aims to see the direction of research development of all papers with the title of halal meat published in reputable journals. This paper uses the Systematic Literature Review (SLR) method to provide a map of halal meat supply chain research trends. The development of halal meat research is still limited. This is evidenced from 2007 to 2023 by title only 48 articles indexed by Scopus by title. The author found that in Muslim countries halal is part of the belief in life. Whereas in non-Muslim countries, halal is seen as a brand component to increase market share. It is estimated that the demand for halal meat will continue to increase as the global Muslim population grows and because of the quality awareness of halal products. The results of this paper can provide specific directions for the government, researchers, and halal meat industry players. The government can improve and strengthen the regulation of the halal meat industry, for researchers as a reference for continuing research in the field of halal meat, and for halal meat industry players, consumer behavior towards halal meat can be an opportunity to increase market share.

A framework for modelling and designing transparency systems: A case of a Vietnamese pork supply chain

The three major meat supply chains in emerging markets are traditional wet markets, integrated supply chains, and the more recent collaborative supply chains. Customers in these markets are increasingly demanding safe and high-quality meat, which requires more transparency in the supply chain. This paper presents a generic framework for modelling and designing transparency systems in meat supply chains, with special attention to the needs of emerging markets like Vietnam where all the three supply chain types co-exist. The framework consists of domain, product flow, business control, business process and transparency data models. The main novelty of the proposed framework is its complementarity to cross-industry reference architectures and generic traceability standards, and its stakeholder-centric approach. The framework is demonstrated in the three pork supply chain types that are also widely present in Vietnam and are representative of the pork supply chains of emerging markets in general. The applicability of the framework is described in detail in a case study of a collaborative supply chain of independent members, which is one of the three pork supply chain types. The case study is selected for detailed analysis because the members work closely together to provide safe and traceable pork meat to consumers.

A just transition in animal agriculture is necessary for more effective and equitable One Health outcomes

Abstract The world’s large and growing appetite for meat and other animal products has profound implications for One Health, given its impacts on human health, the environment and animal health and welfare. Accordingly, there is robust evidence that a reduction of animal product consumption is urgently needed in regions where these consumption levels are currently high. A shift away from industrial animal production should be prioritized, given the high levels of animal product consumption this kind of system enables, its relatively high environmental toll, linkages to increasing risks of antimicrobial resistance and zoonoses emergence and harm to animal welfare. Until recently, however, few governments addressed the issue. On the contrary, many governments actively support industrial animal agriculture through subsidies and other measures. Now, motivated by both environmental and public health concerns, policy makers in several countries are adopting regulatory and financial measures to address the overconsumption of animal products. Although these changes are clearly necessary and long overdue, it is crucial that they are planned carefully and inclusively to ensure a just transition. In lower-resourced and food-insecure settings, meat and other animal products can be a vital source of nutrients – particularly during infancy and childhood. In addition, meat supply chains support many livelihoods, and meat is an important part of many people’s social and cultural traditions. This means that policies that curtail common production practices, reduce meat output and raise meat prices could have significant impacts across society. A just transition approach can help ensure that the costs and benefits of the transition are more equitably distributed and protect the most vulnerable stakeholders. By doing so, it can also help increase public support for the transition. The concept of just transitions is well established in the energy sector but is only starting to be recognized in the context of the food system. Governments in the Global North should take the lead in this area, given these countries have very high levels of animal product consumption and more resources available to support a transition. In this Policy Forum, we lay out the case for a just transition in animal agriculture and identify five principles to guide policy makers in promoting a just transition away from systems of industrial meat production and overconsumption. One Health impact statement Drawing on expertise from health, climate, biodiversity and animal welfare policy and science across several regions, this Policy Forum demonstrates how current levels of animal product production and consumption threaten One Health. Although a transition to a healthier, more sustainable and more compassionate food system is clearly needed, such a transition will necessarily involve both costs and benefits for affected stakeholders. Identifying lessons from international and national climate policy, and energy policy in particular, the authors highlight the value of an approach that is holistic and centred on just transition principles to support a transition away from large-scale animal product production and consumption that is in line with the One Health approach, with an emphasis on transitioning away from the consumption and production of industrially-produced meat. This Policy Forum is relevant to policy makers, companies and civil society seeking to promote a shift towards food systems that emphasize public and planetary health.

Loss of beef during primary production at Swedish farms 2002–2021

Loss of animals is a considerable waste of resources in the meat supply chain, where quantitative data are scarce but critical for guiding improvements. In this study, we used material flow analysis to track the amount of beef diverted away from the food supply chain at the farm level. The beef losses (absolute and as the proportion of yearly initial production) were estimated from data on assisted and unassisted deaths of cattle on Swedish farms obtained from the central register of bovine animals for 2002–2021 combined with official statistics on slaughter weight. The fallen animals were grouped according to age, sex and breed, to enable estimations of the lost amount of carcass weight, both in total and per animal group. The yearly loss during primary production 2017–2021 was on average 13,000 ton carcass weight, or 8.5% of the initial production. No decreasing trend for the loss rate could be determined after 2015, when the Agenda 2030 target 12.3 (Halved food waste and reduced early losses) was introduced. Female dairy breeds showed greater beef losses than dairy males or beef breeds and crossbreeds of both sexes, and their beef losses mostly occurred at 4–5 years of age, thus constituting the hot spot group for lost beef. The results can serve as a base for directed reduction efforts.

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

PurposeThe 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/approachThe 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.FindingsThe 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/implicationsThe 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/valueThis research provides an integrated approach to identifying, analyzing, assessing and mitigating risks to the meat industry in Indonesia.