Parametric Assessment of Temperature Monitoring Trends in Food Supply Chain Performance System

Sharma, Janpriy; Tyagi, Mohit; Bhardwaj, Arvind

doi:10.1007/978-981-15-4550-4_10

Cited by 12 publications

(5 citation statements)

References 47 publications

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“…Complex FSC networks (CFN) pose as the inefficiency attribute securing the value of 23,110, 24,447, and 25,575 respectively for the industries under consideration. This attribute indicates the large count of intermediaries present, working at various tiers, makes the operation functionality quite complex (Sharma et al 2020b ). CFN delays product delivery induces low visibility in the chain dynamics and creates trust issues among chain participants.…”

Section: Resultsmentioning

confidence: 99%

Valuation of inter-boundary inefficiencies accounting IoT based monitoring system in processed food supply chain

Sharma

Tyagi

Bhardwaj

2023

Int J Syst Assur Eng Manag

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Nowadays, demand for processed food items is escalating towards the record consumption volume, which resulted in the surging of the Food Supply Chain (FSCs) network. But, the flow of the commodities through the various channels of the FSC is hampered by the various inefficiencies, which persist due to a lack of monitoring. This results in the widening of the gap between the supply and demand patterns allied with it. To tackle the same, and cater to the upwelling shares of the consumer demand, the dynamics of the Food Supply Chain Performance System (FSCPS) need to be tuned with the avenues of Industry 4.0 practices. Presented work clusters the various attributes of the inefficiencies, which hampers the processed FSCs dynamics and maintenance-related activities, elaborated by their sub-attributes based upon their events of occurrences. A model comprising the various attributes and sub-attributes of inefficiencies constrained outside the organizational boundaries of a firm’s FSC is rendered in this study. For effective handling of the mutual interdependencies persisting between the attributes, the methodology of the Graph Theory and Matrix Approach (GTMA) is exercised for the analysis of the developed model. Outcomes of the presented work felicitate the managers of industries, its allied corporates and numerous stakeholders of the FSC to ground a robust decisional framework, governing policies and managing the process permutations.

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Section: Resultsmentioning

confidence: 99%

Valuation of inter-boundary inefficiencies accounting IoT based monitoring system in processed food supply chain

Sharma

Tyagi

Bhardwaj

2023

Int J Syst Assur Eng Manag

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“…(PR11) Zhou et al [ 78 ]; Lawo et al [ 79 ]; Sharma and Jayant [ 80 ]; Kamilaris et al [ 81 ] Customer-based (H5) Preferences for the product binding sustainability. (PR12) Tripathi and Agarwal [ 82 ]; Sharma et al [ 83 ]; Savarese et al [ 84 ] Opting products conforming to quality standards. (PR13) Costa et al [ 85 ]; Sharma et al [ 86 ]; Starobin [ 87 ]; Mardani et al [ 88 ] External factors (H6) Government rules and regulations evoking sustainability in FSC operation.…”

Section: Literature Reviewmentioning

confidence: 99%

Avenues of decarbonisation in the dynamics of processed food supply chains: Towards responsible production consumption

Sharma,

Singh,

Tyagi

et al. 2024

Heliyon

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“…Poor product traceability Product traceability issue is a significant challenge in CE-based SC to track the product's performance, maintenance and rejection. Good tracking of the product could result in its stretched lives and boost its reusability through proper maintenance (Govindan and Hasanagic, 2018;Gupta et al, 2021;Sharma et al, 2021) CT6.…”

Section: Ct2mentioning

confidence: 99%

Framework development and evaluation of Industry 4.0 technological aspects towards improving the circular economy-based supply chain

Agarwal

Tyagi

Garg

2022

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Purpose The purpose of this study is to present Industry 4.0 technologies for advancing the circular economy (CE) adaption in manufacturing industry’s supply chain (SC) network. To pursue the same, Industry 4.0 technological aspects were recognized as solution measures to overcome the challenges for CE implementation in SC. Design methodology approach A new hierarchical framework containing 13 leading CE challenges and eight promising Industry 4.0 technological aspects had been proposed, representing their mutual relationship. The proposed framework was analysed using a hybrid approach of analytic hierarchy process (AHP) and combinative distance-based assessment (CODAS) under interval-valued intuitionistic fuzzy (IVIF) environment. The IVIF-AHP was used to acquire the priority weights of the CE challenges, whereas the IVIF-CODAS was used to attain the preference order of the proposed technological aspects. Findings The key findings of the present work indicate that “Information disruptions among the SC members due to multiple channels” and “Manpower inability to handle the toxic materials” are the two most critical challenges hindering the adoption of CE practices in SC. Along with, the results also demonstrate that to overcome these challenges, “Smarter equipment to empower flexibility and mass customization” and “Big data driven decision-making system” are the two most significant Industry 4.0 technological solutions, adoption of which might encourage the organizations to align their operations with CE philosophies. Research limitations implications The sample size of the experts engaged in work was limited; however, big data studies could be conducted in future to capture more insights of the stated topic. In addition to this, to understand the implication of CE on Industry 4.0-based manufacturing, a separate study can be synthesised in future. Originality value The proposed work facilitates a new framework consolidating various perspectives associated with CE implementation into a manufacturing industry considering the scenario of Indian rubber industry. This study enables the decision-makers to recognize the challenging factors for CE implementation into their organizations and up-taking the proposed Industry 4.0 practices as technological measures for improving the organization overall performance.

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Parametric Assessment of Temperature Monitoring Trends in Food Supply Chain Performance System

Cited by 12 publications

References 47 publications

Valuation of inter-boundary inefficiencies accounting IoT based monitoring system in processed food supply chain

Valuation of inter-boundary inefficiencies accounting IoT based monitoring system in processed food supply chain

Avenues of decarbonisation in the dynamics of processed food supply chains: Towards responsible production consumption

Framework development and evaluation of Industry 4.0 technological aspects towards improving the circular economy-based supply chain

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