scholarly journals A temperature-sensitive RFID tag for the identification of cold chain failures

2020 ◽  
Vol 313 ◽  
pp. 112182 ◽  
Author(s):  
F. Vivaldi ◽  
B. Melai ◽  
A. Bonini ◽  
N. Poma ◽  
P. Salvo ◽  
...  
Keyword(s):  
Cold Chain ◽  
Temperature Sensitive ◽  
Rfid Tag

scholarly journals A Temperature-Sensitive RFID Tag for the Identification of Cold Chain Failures

2020 ◽  
Author(s):  
Federico Maria Vivaldi ◽  
Bernardo Melai ◽  
Andrea Bonini ◽  
Noemi Violeta Poma Sajama ◽  
Pietro Salvo ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Melting Point ◽  
Human Health ◽  
Cold Chain ◽  
Temperature Sensitive ◽  
Quality And Safety ◽  
Rfid Tag ◽  
International Regulations ◽  
Passive Rfid ◽  
Harmful Effects

Quality and safety of the cold chain undergo strict international regulations that identify storage and shipping temperatures. In fact, the improper handling and transportation of temperature-sensitive products such as food and pharmaceuticals may have harmful effects on human health and negative economic impact. A passive RFID tag modified with copper-droped ionic liquid melting point, which can be tuned by changing the concentration of dopant.

scholarly journals A Temperature-Sensitive RFID Tag for the Identification of Cold Chain Failures

2020 ◽  
Author(s):  
Federico Maria Vivaldi ◽  
Bernardo Melai ◽  
Andrea Bonini ◽  
Noemi Violeta Poma Sajama ◽  
Pietro Salvo ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Melting Point ◽  
Human Health ◽  
Cold Chain ◽  
Temperature Sensitive ◽  
Quality And Safety ◽  
Rfid Tag ◽  
International Regulations ◽  
Passive Rfid ◽  
Harmful Effects

Quality and safety of the cold chain undergo strict international regulations that identify storage and shipping temperatures. In fact, the improper handling and transportation of temperature-sensitive products such as food and pharmaceuticals may have harmful effects on human health and negative economic impact. A passive RFID tag modified with copper-droped ionic liquid melting point, which can be tuned by changing the concentration of dopant.

scholarly journals Assessment of cold chain and logistics management practices: a cross sectional study in Bundelkhand region of Madhya Pradesh

2018 ◽  
Vol 5 (12) ◽  
pp. 5143
Author(s):  
Ram K. Panika ◽  
Amarnath Gupta
Keyword(s):  
Management Practices ◽  
Cross Sectional Study ◽  
Logistics Management ◽  
Cold Chain ◽  
Temperature Sensitive ◽  
Sectional Study ◽  
Cross Sectional ◽  
Shake Test ◽  
The Status ◽  
Knowledge And Practice

Background: Immunization is one of the most effective disease prevention strategies. Potency of vaccine is dependent on effective management of cold chain system at all levels of vaccine handling. This study was carried out to assess the status of cold chain equipment and logistics management practices, Knowledge and practice of CCHs about cold chain equipment and logistics management.Methods: Cross-sectional study was conducted in all functional cold chain points of Damoh district using structured questionnaires provided by UNICEF.Results: Only 57.14% and 71% CCPs had dedicated space for dry storage and for conditioning of ice packs respectably. 50% CCPs had correct placement of ice-packs inside DFs. Functional thermometer inside every equipment was available in 86% CCPs. Twice daily temperature recording and temperature of ILRs was within normal range in 93% CCPs. Record of power failures and defrosting/cleaning in temperature log books was found in 57% and 43% CCPs. Temp log book was countersigned by facility in charge in 43% CCPs. UIP vaccines were stored within basket in 93%. Fractional IPV was stock out in 29% CCPs and in 07% CCPs OPV vials were found with not usable VVM. 86%, 72% and 64% of CCHs had knowledge on freeze/temperature sensitive vaccines, cold chain pray and, Shake test. In 79% CCPs expired/wasted vaccines were not documented in stock.Conclusions: Most of the components of cold chain and logistics management practices were satisfactory while there is a gap in other components which needs to be improved. 

Risk quantification in cold chain management: a federated learning-enabled multi-criteria decision-making methodology

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Henry Lau ◽  
Yung Po Tsang ◽  
Dilupa Nakandala ◽  
Carman K.M. Lee
Keyword(s):  
Decision Making ◽  
Evaluation System ◽  
Small And Medium Enterprises ◽  
Handling Time ◽  
Cold Chain ◽  
Pairwise Comparisons ◽  
Temperature Sensitive ◽  
Multi Criteria Decision Making ◽  
Firm Level ◽  
Content Type

PurposeIn the cold supply chain (SC), effective risk management is regarded as an essential component to address the risky and uncertain SC environment in handling time- and temperature-sensitive products. However, existing multi-criteria decision-making (MCDM) approaches greatly rely on expert opinions for pairwise comparisons. Despite the fact that machine learning models can be customised to conduct pairwise comparisons, it is difficult for small and medium enterprises (SMEs) to intelligently measure the ratings between risk criteria without sufficiently large datasets. Therefore, this paper aims at developing an enterprise-wide solution to identify and assess cold chain risks.Design/methodology/approachA novel federated learning (FL)-enabled multi-criteria risk evaluation system (FMRES) is proposed, which integrates FL and the best–worst method (BWM) to measure firm-level cold chain risks under the suggested risk hierarchical structure. The factors of technologies and equipment, operations, external environment, and personnel and organisation are considered. Furthermore, a case analysis of an e-grocery SC in Australia is conducted to examine the feasibility of the proposed approach.FindingsThroughout this study, it is found that embedding the FL mechanism into the MCDM process is effective in acquiring knowledge of pairwise comparisons from experts. A trusted federation in a cold chain network is therefore formulated to identify and assess cold SC risks in a systematic manner.Originality/valueA novel hybridisation between horizontal FL and MCDM process is explored, which enhances the autonomy of the MCDM approaches to evaluate cold chain risks under the structured hierarchy.

Cold Chain Logistics in India

2016 ◽  
pp. 159-172 ◽  
Author(s):  
Swapnil Saurav ◽  
Ravi Potti
Keyword(s):  
Supply Chain ◽  
Fruits And Vegetables ◽  
Critical Role ◽  
High Energy ◽  
Cold Chain ◽  
Temperature Sensitive ◽  
Horticultural Crops ◽  
Perishable Goods ◽  
Power Deficit ◽  
Marine Products

Cold Chain refers to the transportation of temperature sensitive products like perishable goods from the point of origin to point of consumption in the food supply chain, which keeps it fresh and edible for a much longer period than in normal conditions. Cold Chain helps in transporting seasonal products and also making it available throughout the year. Two main parts of cold chain are transportation and storage systems. The key Indian industries where cold chain logistics play very important role are fruits and vegetables, milk and milk products (ice cream), Poultry and processed meat, marine products, pharmaceutical (mainly vaccines) and chemicals. An efficient cold chain industry ensures availability of food products as well as prevents spoilage of medicines. Country like India, where infrastructure is one of the major challenges, cold chain plays a critical role. Analysis for this study shows that cold supply chain network does not differ significantly from products to products at least in Indian scenario. Some of the challenges to the growth of sector in India are high energy cost, power deficit, rising real estate cost, lack of logistical support and uneven distribution of capacity. All these challenges bring down the operating margin of a company and makes it not so attractive business sector. But during last couple of years there is a positive environment being created for this sector in India. The growth in organized retail, growing interest in horticultural crops, demand for cold chain logistics from Pharmaceutical industry and various initiatives by government are some of the reasons why there is a renewed interest in this sector especially by private sector players. This study, which is focused on Indian cold chain logistics, analyzes the industry on PEST (Political, Economy, Social and Technology) model and presents top 3 factors on each of these 4 parameters.

scholarly journals An Innovative Concept of Traceable Device for Monitoring Temperature of Temperature-Sensitive Healthcare Products

2020 ◽  
Vol 2 (4) ◽  
pp. 141-146
Author(s):  
Pedro Martins de Oliveira ◽  
Adriano Souza Leão ◽  
Regina Maria Cunha Leite ◽  
Alfredo Ruben Corniali ◽  
Marcos Lage Cajazeira Ramos ◽  
...  
Keyword(s):  
Product Development ◽  
Health Professionals ◽  
Cold Chain ◽  
Temperature Sensitive ◽  
Exploratory Research ◽  
Customer Requirements ◽  
Health Products ◽  
Monitoring Temperature ◽  
Innovative Concept

This paper aims to present a concept of technology as a solution to monitor thermo-sensitive health products and contribute to preserving their integrity along the cold chain. This study is exploratory research with a case study involving a survey with health professionals and the use of tools for product development in order to find a solution to the problem of traceability and warnings about temperature deviations. From the information collected and the literature reviewed, it was possible to develop a concept of a product to meet the customer requirements. The results showed that thermo-sensitive health products lack traceability in the health network and that the concept presented contributes to solving this problem.

scholarly journals An analysis of the influence of logistics activities on the export cold chain of temperature sensitive fruit through the Port of Cape Town

2015 ◽  
Vol 9 (1) ◽  
Author(s):  
Leila L. Goedhals-Gerber ◽  
Laura Haasbroek ◽  
Heinrich Freiboth ◽  
F. Esbeth Van Dyk
Keyword(s):  
Supply Chain ◽  
South African ◽  
Cape Town ◽  
Cold Chain ◽  
Temperature Sensitive ◽  
The South ◽  
Pome Fruit ◽  
Final Destination ◽  
Export Supply ◽  
Cold Store

Background: South Africa exports a large variety of different fruit types and cultivars worldwide. Yet, there is concern in the South African fruit industry that too much fruit and money is lost each year due to breaks along the fresh fruit export cold chain.Objective: The objective of this article was to identify the influence of logistics activities on breaks along the South African fruit export cold chain. The focus is specifically on temperature sensitive fruit, exported in refrigerated containers to Europe and the United Kingdom through the Port of Cape Town. This supply chain was selected as this was the most accessible supply chain in terms of retrieving the necessary temperature data.Method: The cold chain was investigated from the cold store, through all segments, until the Port of Cape Town. Temperature data collected with temperature monitoring devices from different fruit export supply chains of grapes, plums and pome fruit (apples and pears) were analysed to identify the percentage of temperature breaks and the length of temperature breaks that occur at each segment of the cold chain.Results: The results show that a large number of breaks are experienced along South Africa’s fruit export cold chain, specifically at the interface between the cold store and the truck. In addition, the findings also show that there has been an improvement in the number of breaks experienced in the Port of Cape Town following the implementation of the NAVIS and Refcon systems.Conclusion: This article concludes by providing the fruit industry with areas that require addressing to improve operational procedures along the fruit export cold chain to help ensure that the fruit arrives at its final destination at optimal quality.

scholarly journals A Multi-Scenario Optimization Model for Emergency Cold Chain Logistics Distribution

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yile Ba ◽  
Chenxi Feng ◽  
Wenpeng Jia ◽  
Xin Liu ◽  
Jianwei Ren
Keyword(s):  
Optimization Model ◽  
Time Windows ◽  
Modern Society ◽  
Cold Chain ◽  
Uncertain Demand ◽  
Temperature Sensitive ◽  
Logistics Center ◽  
Logistics Distribution ◽  
Emergency Situations ◽  
Scenario Optimization

Cold chain logistics has been playing a more and more crucial role in modern society. As a special professional cold chain logistics, emergency cold chain logistics can provide quality assurance for temperature-sensitive products in emergency situations. Due to the fact that demand is uncertain in emergency situations, the cold chain logistics companies have to deal with the issue of uncertainty. However, there is no literature on the emergency cold chain logistics distribution optimization problem with uncertain demand. This research contributes to solving this problem. To deal with uncertain demand in emergency situations, an emergency cold chain logistics distribution optimization model with time windows is proposed based on scenario analysis. The objectives of the model are to minimize the total cost and shorten the delivery time simultaneously. The model can also optimize product procurement and refrigerated vehicle renting. The multi-scenario optimization model is applied to a Chinese cold chain logistics center to verify its effectiveness.

Diagnosing the service quality of perishable-food logistics: temperature-sensitive milk delivery

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pei-Ju Wu ◽  
Liang-Tay Lin ◽  
Chi-Chang Huang
Keyword(s):  
Quality Management ◽  
Service Quality ◽  
Stakeholder Theory ◽  
Cold Chain ◽  
Temperature Sensitive ◽  
Business Analytics ◽  
Content Type ◽  
Delivery Times ◽  
Logistics Quality

PurposeHigh-quality cold-chain logistics are key to effectively managing the quality of temperature-sensitive foods. Hence, this study investigates the service quality of such logistics, using a real-life case of temperature-sensitive milk delivery.Design/methodology/approachThis study focuses on developing business analytics for quality control in cold-chain perishable-food logistics, grounded in normal accident theory and stakeholder theory, and tests them using real-world data.FindingsThe empirical business-analytics results indicate that cargo locations, logistics status and delivery times are the essential factors that influence the quality of temperature-sensitive milk.Research limitations/implicationsThis study confirms that a combination of normal accident theory and stakeholder theory can be usefully applied to the development of strategies for managing perishable-food logistics. As such, its proposed business analytics provide a fresh foundation for research on logistics quality management.Practical implicationsThe balance between efficiency and service quality in a logistics system should be assessed carefully, and logistics companies should collaborate with their stakeholders and can help to mitigate potential cold-chain risks.Originality/valueThis pioneering analytical study explores the essential quality issues that confront cold chains and demonstrates how to extract vital insights from temperature-sensitive food logistics monitoring data. As such, it represents a noteworthy contribution to the field of logistics quality management.

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