Optimal control in dynamic food supply chains using big data

Kappelman, Ashton Conrad; Sinha, Ashesh Kumar

doi:10.1016/j.cor.2020.105117

Cited by 33 publications

(11 citation statements)

References 22 publications

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“…Kappelman and Sinha [18] proposed an approach based on stochastic optimization methods for dealing with uncertainty in supply chain systems. They claimed that their approach could effectively minimize uncertain problems and optimize time and complexity.…”

Section: B Ascs Management Approachmentioning

confidence: 99%

The Design and Development of a Causal Bayesian Networks Model for the Explanation of Agricultural Supply Chains

2022

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The balancing of demand and supply in the market is a complex problem because of the dynamic supply chain and environment. It causes uncertain situations and is a limitation in decisions making systems that cannot produce reasonable descriptions to help decision makers eliminate uncertainties. This study proposes the design and development of a Causal Bayesian Networks (CBNs) model for market understanding, which encodes a human-like approach to explain demand and supply events for decision makers. A framework for generating reasonable descriptions in Agricultural Supply Chains (ASCs) management is proposed. The qualitative and quantitative design of the CBNs model is developed and proved that the CBNs model can reasonably explain events using predictive performance measurement and sensitivity analysis for producing reasonable descriptions. The results illustrate that the CBNs model is suitable for ASCs situation explanation involving uncertain situations, and is ready to apply to real-world applications to support decision making systems.

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Section: B Ascs Management Approachmentioning

confidence: 99%

The Design and Development of a Causal Bayesian Networks Model for the Explanation of Agricultural Supply Chains

2022

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“…B.D.A. contributes to the firm's adequate decision-making and final product quality, generating great added value to the firm and food supply chain [57]. It allowed firms in the sector to increase their response capacity and resilience by using information technology systems to be better prepared than other firms that lacked these technologies [29].…”

Section: Business Data Analytics Applications and Firm's Performancementioning

confidence: 99%

Technological Innovation and Circular Economy Practices: Business Strategies to Mitigate the Effects of COVID-19

et al. 2021

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The Corona Virus Disease 2019 (COVID-19) has been a tough test on companies in the global food sector supply chain, exacerbating the realities and deficiencies it presents in developing economies. This situation has been reflected in the firm’s performance (F.P.) due to the lack of business conditions to respond to the current pandemic. However, in some companies, the adverse effects of COVID-19 have been counteracted due to endowment and technological capabilities. Thus, this study examined the role of technological innovation (T.I.) and business data analytics (B.D.A.) in the F.P. of foods in Ecuador during COVID-19. A questionnaire collected the information from the food firms. Then, Covariance-Based Structural Equation Modeling processed the collected information. We found that (B.D.A.) mechanisms and different levels of T.I. within the developing market significantly shape the F.P. The results showed that the B.D.A. enables circular economy (C.E.) practices and the improvement of product delivery services, which constitutes an improvement of the F.P. The COVID-19 outbreak did not significantly affect T.I., unlike what happened with B.D.A. This study concluded that firms with the most extraordinary technological production processes have been the least affected during COVID-19. This study suggested that policy measures should boost food firms’ technological endowment to improve their resilience in uncertainty and risk scenarios.

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“…A layered architecture model was proposed for the Internet of Perishable Logistics (Pal & Kant 2019). Kappelman & Sinha (2021) proposed to use big data mining techniques to determine optimal supplier selection, which reduces the rate of rejected products and maximizes the SCs expected profit. SC digital twin enables the simulation of various scenarios to assess the critical risks caused by force majeure and operational risks inherent to PFSC (Kumar et al 2019), their impacts and the duration and recovery policies (Barykin et al 2020).…”

Section: Technologymentioning

confidence: 99%

“…A layered architecture model was proposed for the internet of Perishable Logistics (Pal and Kant, 2019). Kappelman and Sinha (2021) proposed to use big data mining techniques to determine optimal supplier selection, which reduces the rate of rejected products and maximises the SCs expected profit.…”

Section: Literature Reviewmentioning

confidence: 99%

Using blockchain technology to drive operational excellence in perishable food supply chains during outbreaks

Kayıkçı

Uşar

Aylak

2021

IJLM

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PurposeThis paper aims to explore the potential of blockchain technology (BT) to support the operational excellence in perishable food supply chain (PFSC) during outbreaks, by doing use-case analysis.Design/methodology/approachA systematic literature review is performed to determine the dimensions of operational excellence in the food supply chain (FSC), then a single use-case analysis is conducted to explore the potential of blockchain in order to achieve operational excellence for PFSC during the pandemics by applying context, interventions, mechanism and outcomes (CIMO) logic.FindingsThe findings of this study reveal that blockchain capabilities such as immutability and transparency, visibility, traceability, integration and interoperability, disintermediation and decentralisation, smart contracts and consensus mechanism provide better sustainable operational excellence outcomes for PFSCs to be more responsive, flexible, efficient and collaborative to cope with the impacts of COVID-19.Research limitations/implicationsThis research employs only one real case with multiple PFSC participants. Statistical generalisation is not possible at this stage of the research. However, the findings are not restricted to this single use-case.Practical implicationsThis study provides a research direction to explore the potential of BT to achieve operational excellence in the PFSC during outbreaks and generates prescriptive knowledge for better managerial decision-making across the PFSC during outbreaks.Originality/valueThis research conducts semi-structured interviews with different participants in one blockchain ecosystem to understand multiple participants' perspectives of operational excellence within PFSC.

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Optimal control in dynamic food supply chains using big data

Cited by 33 publications

References 22 publications

The Design and Development of a Causal Bayesian Networks Model for the Explanation of Agricultural Supply Chains

The Design and Development of a Causal Bayesian Networks Model for the Explanation of Agricultural Supply Chains

Technological Innovation and Circular Economy Practices: Business Strategies to Mitigate the Effects of COVID-19

Using blockchain technology to drive operational excellence in perishable food supply chains during outbreaks

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