Policies for Rapid Mitigation of the Crisis’ Effects on Agricultural Supply Chains: A Multi-Criteria Decision Support System with Monte Carlo Simulation

Baležentis, Tomas; Morkūnas, Mangirdas; Žičkienė, Agnė; Volkov, Artiom; Ribašauskienė, Erika; Štreimikienė, Dalia

doi:10.3390/su132111899

Cited by 13 publications

(11 citation statements)

References 124 publications

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“…• Others include decision-making trial and evaluation laboratory (DEMATEL) (Miao et al 2014 ), Delphi (von der Gracht and Darkow 2013 ), dynamic programming (Zhang et al 2021 ), entropy analysis (Lu et al 2019 ), equilibrium displacement model (Xiao 2010 ), event sequence analysis (Sprecher et al 2017 ), fault tree analysis (Kumar and Havey 2013 ), failure mode, effects, and criticality analysis (FMECA) (Raab et al 2013 ), flow modelling (Lehmann et al 2011 ), fuzzy quality function deployment (Tamtam and Tourabi 2021 ), genetic algorithm and multi-choice goal programming (Razavi et al 2021 ), inductive case-based reasoning ensemble (ICBRE) (Li et al 2012 ), Petri-nets (Wang et al 2016 ), Pugh matrix approach and Monte Carlo simulation (Baležentis et al 2021 ), and Theory of Constraints (Yang et al 2009 )…”

Section: Resultsmentioning

confidence: 99%

Supply chain management in times of crisis: a systematic review

Durugbo

Al-Balushi

2022

Manag Rev Q

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Complexities of crises force supply chains managers to formulate crisis-induced strategies, which contrast with the conventional strategies that give precedence to competitive priorities. Recent crises, such as the coronavirus outbreaks, large-scale product recalls, and financial crises, underscore the increasing regularity and severity of crises with imperatives for introspective and retrospective socio-economic insights on the contexts, priorities, and themes of supply chain management in times of crisis. The purpose of this article is to review the literature on supply chain management in times of crisis, systematically coalescing the related body of scholarly work; outlining current methods applied by researchers; capturing strategic priorities and themes of complexities in research studies; and highlighting potentials for future studies. Using a systematic review of 250 journal articles published between 1996 and 2021, the review finds four dimensions for restorative priorities that reflect operations strategy during crisis: (i) critical supplies with essential services, (ii) timely response with recovery, (iii) safety with security, and (iv) traceability with transparency. The review also finds that operational complexities during crises originate from network configurations and business cycle complexities, optimal selections and provisioning system complexes, and complex learning processes and demand predictions. Insights from the review aid in the proposal of build-to-cycle, organic capabilities, and operational mindfulness framings for supply chain management in times of crisis. The article concludes by recommending future research studies on supply chain upgrades, diagnosis, solidarity, mapping, temporariness, and thresholds, as well as optimal selection problems on linking crisis systems investments with liabilities and on linking crisis network allotments with cross-functionalities.

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Section: Resultsmentioning

confidence: 99%

Supply chain management in times of crisis: a systematic review

Durugbo

Al-Balushi

2022

Manag Rev Q

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“…Digitalization has created a new environment for business and public sector. Baležentis et al (2021) propose an integrated approach to rapid decision-making in the agricultural sector, aimed at improving its resilience. Ambrasaitė et al (2021) introduce the decision support system (DSS) COSIMA, which includes a combination of cost-benefit analysis and multiple-criteria decision analysis (MCDA) for transport infrastructure assessments covering both economic and strategic impacts.…”

Section: Theoretical Partmentioning

confidence: 99%

Opportunities for Digitisation of Agricultural and Rural Development Solutions

Atkočiūnienė

Papšienė

2023

Management Theory and Studies for Rural Business and Infrastructure Development

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Agriculture identification of solution alternatives and their effective implementation require human resources capable of concentrating and systemically setting priorities and performing necessary tasks for realization of ideas. With the help of agricultural digitization, one employee can communicate with several robotic devices at once by sending them specific instructions, thereby synchronizing their work with each other. Such activities in agriculture help to save time and achieve higher productivity. Purpose of the study is to analyse opportunities for digitisation of agricultural and rural development solutions. The focus is on one of the options, the aim is to define how in a digital environment, using decision support systems (DSS), one employee can carry out several jobs and, according to feedback signal, perform their quality monitoring. Using digital technologies in agriculture and rural change management, employees can guarantee that every modern agricultural and rural development management system will start its work on time, perform it qualitatively and finish it on time. An employee can monitor the processes of change in agriculture and rural environment with the help of information technology. With the help of internet technologies and robots, implemented advanced information systems (such as DSS) can collect, analyse and process huge data (metrological, soil conditions, market information, etc.), so one person can perform several jobs at the same time. In order to successfully address the challenges of digitisation of agriculture and rural development, it is proposed to facilitate cooperation between a human (operator) and a robot when they exchange and (or) share tasks, control multifunctional processes, and, according to the obtained results, make changes to the components of the process in order to achieve the best result.

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“…At the same time, the impact of the COVID-19 pandemic on food sales cannot be ignored. To minimize the sharp drop in food sales, relevant departments should provide partial economic support [ 29 ].…”

Section: Safety Precautions In Cold-chain Linksmentioning

confidence: 99%

The Safety of Cold-Chain Food in Post-COVID-19 Pandemic: Precaution and Quarantine

Kong

et al. 2022

Foods

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Since the outbreak of coronavirus disease-19 (COVID-19), cold-chain food contamination caused by the pathogenic severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has attracted huge concern. Cold-chain foods provide a congenial environment for SARS-CoV-2 survival, which presents a potential risk for public health. Strengthening the SARS-CoV-2 supervision of cold-chain foods has become the top priority in many countries. Methodologically, the potential safety risks and precaution measures of SARS-CoV-2 contamination on cold-chain food are analyzed. To ensure the safety of cold-chain foods, the advances in SARS-CoV-2 detection strategies are summarized based on technical principles and target biomarkers. In particular, the techniques suitable for SARS-CoV-2 detection in a cold-chain environment are discussed. Although many quarantine techniques are available, the field-based quarantine technique on cold-chain food with characteristics of real-time, sensitive, specific, portable, and large-scale application is urgently needed.

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Policies for Rapid Mitigation of the Crisis’ Effects on Agricultural Supply Chains: A Multi-Criteria Decision Support System with Monte Carlo Simulation

Cited by 13 publications

References 124 publications

Supply chain management in times of crisis: a systematic review

Supply chain management in times of crisis: a systematic review

Opportunities for Digitisation of Agricultural and Rural Development Solutions

The Safety of Cold-Chain Food in Post-COVID-19 Pandemic: Precaution and Quarantine

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