PurposeIn recent years, and especially during the coronavirus disease 2019 (COVID-19) pandemic, the significant role of agriculture, specifically red meat, in household consumption has been increased. On the other hand, the lack of proper policymaking in the production and pricing of red meat and the lack of a comprehensive study on the beef supply chain has led to a reduction in the role of this protein product in the household food basket. Thus, in this research, comprehensive strategic planning considering the effect of the COVID-19 pandemic has been illustrated to overcome the aforementioned problems.Design/methodology/approachTo study the intended objectives, first, using qualitative methods, the strengths, weaknesses, opportunities and threats (SWOT) to the studied company's supply chain in Iran were identified and then using the SWOT-Quantitative Strategic Planning Matrix (QSPM) technique, the surrounding strategies have been analysed.FindingsThe results indicate that the most important strength of the studied company is the “access to the red meat market of the retirement plan”; the most important weakness is the “lack of required and on-time funding, especially in the condition of the COVID-19 pandemic”; the highest-ranked opportunity is the “access to banking facilities” and the main threat to the company is the “COVID-19 pandemic limitations and health protocols”. In the same vein, by examining the attractiveness score of internal and external factors, it was observed that diversity and competitive strategies would have a higher priority. Finally, the QSPM illustrated that activating the full capacity of existing infrastructure has the highest priority.Originality/valueAccording to the red meat supply chain and the link amongst different market levels, identifying, analysing and improving the beef supply chain is of particular importance. One of the threats facing the international community is the emergence of events such as the COVID-19 pandemic, which requires businesses to choose the right strategy to deal with the issue. Therefore, the main distinction of this study is to identify, analyse and improve the red meat supply chain of a real case due to the condition of the COVID-19 pandemic.

Purpose In this paper, multi-period location–inventory–routing problem (LIRP) considering different vehicles with various capacities has been investigated for the supply chain of red meat. The purpose of this paper is to reduce variable and fixed costs of transportation and production, holding costs of red meat, costs of meeting livestock needs and refrigerator rents. Design/methodology/approach The considered supply chain network includes five echelons. Demand considered for each customer is approximated as deterministic using historical data. The modeling is performed on a real case. The presented model is a linear mixed-integer programming model. The considered model is solved using general algebraic modeling system (GAMS) software for data set of the real case. Findings A real-world case is solved using the proposed method. The obtained results have shown a reduction of 4.20 per cent in final price of red meat. Also, it was observed that if the time periods changed from month to week, the final cost of meat per kilogram would increase by 43.26 per cent. Originality/value This paper presents a five-echelon LIRP for the meat supply chain in which vehicles are considered heterogeneous. To evaluate the capability of the presented model, a real case is solved in Iran and its results are compared with the real conditions of a firm, and the rate of improvement is presented. Finally, the impact of the changed time period on the results of the solution is examined.

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PurposeThis study focuses on a specific method of meat production that involves carcass purchase and meat production by packing facilities with a novel two-stage model that simultaneously considers location-routing and inventory-production operating decisions. The considered problem aims to reduce variable and fixed transportation and production costs, inventory holding cost and the cost of opening cold storage facilities.Design/methodology/approachThe proposed model encompasses a two-stage model consisting of a single-echelon and a three-echelon many-to-many network with deterministic demand. The proposed model is a mixed-integer linear programming (MILP) model which was tested with the general algebraic modelling system (GAMS) software for a real-world case study in Iran. A sensitivity analysis was performed to examine the effect of retailers' holding capacity and supply capacity at carcass suppliers.FindingsIn this research, the number of products transferred at each level, the number of products held, the quantity of red meat produced, the required cold storage facilities and the required vehicles were optimally specified. The outcomes indicated a two percent (2%) decrease in cost per kg of red meat. Eventually, the outcomes of the first and second sensitivity analysis indicated that reduced retailers' holding capacity and supply capacity at carcass suppliers leads to higher total costs.Originality/valueThis research proposes a novel multi-period location-inventory-routing problem for the red meat supply chain in an emerging economy with a heterogeneous vehicle fleet and logistics decisions. The proposed model is presented in two stages and four-echelon including carcass suppliers, packing facilities, cold storage facilities and retailers.

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