scholarly journals Pharmaceutical cold chain and novel technological tools: a systematic review

TRANSPORTES ◽  
2021 ◽  
Vol 29 (1) ◽  
pp. 67-85
Author(s):  
Giset N. Montoya M. ◽  
Orlando Fontes Lima Jr. ◽  
Antonio G. N. Novaes ◽  
Jose Benedito S. Santos Jr. ◽  
Jaime A.C. Arias
Keyword(s):  
Supply Chain ◽  
Cold Chain ◽  
Research Progress ◽  
Decision Making Process ◽  
Market Growth ◽  
Extensive Analysis ◽  
Novel Approach ◽  
Technological Advances ◽  
Technological Tools ◽  
The Impact

The pharmaceutical cold chain (PCC) deals with specific logistics operational require-ments related to product quality, safety, and regulations that make the supply chain management process complex. Also, the pharma industry market growth increases the awareness, in terms of good's temperature monitoring and controlling, of the storage and transportation processes across the network. This study provides a novel approach to PCC, based on a systematic literature review with an extensive analysis of the main aspects that influence the supply chain processes. The major findings highlight the recently worldwide research progress on the PCC subjects related, the challenges involving the PCC and its associated technological advances based on three attributes (product characteristics, vehicle capabilities, and logistics service provider’s expertise) and, finally, the impact of technologies and its potential utilization to im-prove the decision-making process on integrated cold chain operations.  

Drone Security

2021 ◽  
pp. 352-384
Author(s):  
Marc Lacoste ◽  
David Armand ◽  
Fanny Parzysz ◽  
Loïc Ferreira ◽  
Ghada Arfaoui ◽  
...  
Keyword(s):  
Supply Chain ◽  
Network Connectivity ◽  
Time Constraints ◽  
Security Market ◽  
Technical Design ◽  
Market Growth ◽  
Resource Limitations ◽  
Trade Offs ◽  
Security Challenges ◽  
The Impact

This chapter explores the security challenges of the drone ecosystem. Drones raise significant security and safety concerns, both design-time and run-time (e.g., supply-chain, technical design, standardization). Two broad classes of threats are considered, on drones and using drones (e.g., to attack critical infrastructures or vehicles). They involve both professional and non-professional drones and lead to various types of attacks (e.g., IoT-type vulnerabilities, GPS spoofing, spying, kinetic attacks). Trade-offs involving hardware and software solutions to meet efficiency, resource limitations, and real-time constraints are notably hard to find. So far, protection solutions remain elementary compared to the impact of attacks. Advances in technologies, new use cases (e.g., enhancing network connectivity), and a regulatory framework to overcome existing barriers are decisive factors for sustainable drone security market growth.

Predicting the impact of operational and financial variables on bullwhip effect using threshold regression: Indian context

2020 ◽  
Vol 13 (2) ◽  
pp. 211-227
Author(s):  
Sachin Gupta ◽  
Anurag Saxena
Keyword(s):  
Supply Chain ◽  
Linear Regression Analysis ◽  
Bullwhip Effect ◽  
Mitigation Strategies ◽  
Threshold Region ◽  
Threshold Regression ◽  
Content Type ◽  
Financial Variables ◽  
Novel Approach ◽  
The Impact

Purpose The operational aspects of supply chain, when handled correctly, results in diminishing the impact of the bullwhip effect. The purpose of this study is to analyze the impact of operational and financial variables on the bullwhip effect. Various operational factors that contribute to the bullwhip effect in a supply chain are identified and their impact on variability in production is measured at manufacturer’s end in the supply chain. Design/methodology/approach Ten different sectors of the Indian economy are identified and analyzed on the basis of bullwhip effect. The ratio of change in production with respect to change in demand is taken as a metric to measure the bullwhip effect. Initially, the impact of identified variables on bullwhip effect is analyzed using the linear regression analysis and then to gain more insights, the threshold regression model is applied according to the change in bullwhip ratio. Findings The study identifies four threshold regions in which bullwhip ratio is changing its slope considerably. The operational and financial variables impacting bullwhip effect differently in these four regions provide useful insights about how the variables are impacting the bullwhip effect. Research limitations/implications Past 11 years of observations on identified operational and financial variables are studied for ten different sectors. The operational and financial variables are identified on basis of available literature but may not be exhaustive in nature. Practical implications The present study implies that the emphasis must be given to the magnitude of the bullwhip ratio. Strategies must be adopted that result in mitigation of bullwhip effect. Such mitigation strategies must not only be restricted on the basis of type of product or sector, perhaps they must be on the basis of threshold region of bullwhip ratio. Originality/value The study suggests a novel approach to study the bullwhip effect in supply chain management using the application of threshold regression considering the bullwhip ratio as a threshold variable.

Research progress of packaging indicating materials for real-time monitoring of food quality

2019 ◽  
Vol 9 (5) ◽  
pp. 377-396 ◽  
Author(s):  
Danfei Liu ◽  
Ling Yang ◽  
Mi Shang ◽  
Yunfei Zhong
Keyword(s):  
Supply Chain ◽  
Shelf Life ◽  
Real Time ◽  
Food Quality ◽  
Food Packaging ◽  
Cold Chain ◽  
Research Progress ◽  
Packaging Materials ◽  
Toxic Substances ◽  
Fresh Food

The rapid development of cold-chain transportation necessitates consumers to present high requirements on safety and freshness of fresh food in recent years. The quality and taste of fresh food can be monitored and controlled through the intelligent packaging technologies and new food packaging materials such as time-temperature indicators (TTIs), Radio Frequency Identification (RFID), biological composites and polymer nanocomposites. Based on different packaging materials, indicators and sensors are employed in food packaging for real-time detection of information about freshness, temperature, microbiological, and shelf life of products in the supply chain. Wide varieties of packaging materials are suitable for providing intelligent and smart properties for food packaging, such as oxygen scavenging capability, antimicrobial activity, and recording the thermal history. Due to the special properties of prepared materials, TTIs are used to point out the remaining shelf life of perishable products throughout the supply chain. Compared with others, they have the advantages of low cost, small size and convenient indication. Additionally, the TTIs can effectively solve food quality and safety problems caused by temperature fluctuation in supply chain. Since the irreversible color change of TTIs, the food safety situation would be shown intuitively. Currently, the TTIs were widely used in application of food packaging by providing safety information. However, the application is also accompanied with some deficiencies such as the accuracy of monitoring, migration of toxic substances, stability and expensive cost etc. This review will deeply discuss the preparation of various types of TTIs based on different package indicating materials with a particular emphasis on how to improve their accuracy and stability, control the migration of toxic substances and to develop new TTIs.

scholarly journals Evaluation of the Impact of Strategic Offers on the Financial and Strategic Health of the Company—A Soft System Dynamics Approach

Mathematics ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. 208 ◽  
Author(s):  
Dariusz Banaś ◽  
Jerzy Michnik
Keyword(s):  
Decision Making ◽  
Decision Problems ◽  
Decision Making Process ◽  
Novel Approach ◽  
Essential Properties ◽  
Similarities And Differences ◽  
Nonlinear Gauge ◽  
The Impact

When analyzing the possibility of supporting the decision-making process, one should take into account the essential properties of economic entities (the system and its objects). As a result, the development of an effective business model ought to be based on rationality and the characteristics of the system being modeled. Such an approach implies the use of an appropriate analysis and modeling method. Since the majority of relationships in the model are described using the experts’ tacit knowledge, methods known as “soft” are more suitable than “hard” in those situations. Fuzzy cognitive mappings (FCM) are therefore commonly used as a technique for participatory modeling of the system, where stakeholders can convey their knowledge to the model of the system in question. In this study, we introduce a novel approach: the extended weighted influence nonlinear gauge system (WINGS), which may equally well be applied to the decision problems of this type. Appraisal of high-value and long-term offers in the sector of the telecommunication supplier industry serves as a real-world case study for testing the new method. A comparison with FCM provides a deeper understanding of the similarities and differences of the two approaches.

scholarly journals Implementation of Time Temperature Indicators to Improve Temperature Monitoring and Support Dynamic Shelf Life in Meat Supply Chains

2019 ◽  
Vol 4 (1) ◽  
pp. 23-32 ◽  
Author(s):  
Antonia Albrecht ◽  
Rolf Ibald ◽  
Verena Raab ◽  
Werner Reichstein ◽  
Dietrich Haarer ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Shelf Life ◽  
Software Tool ◽  
Temperature Fluctuations ◽  
Cold Chain ◽  
Decision Making Process ◽  
Chain Conditions ◽  
Life Predictions ◽  
Online Software

AbstractBased on the well-investigated OnVu™ TTI kinetics, models were developed to adjust the label to different food products and predict the discolouration process under dynamic temperature conditions. After the successful validation under laboratory conditions, the applicability of the time temperature indicator (TTI) as shelf life indicator was tested in a national poultry chain. The TTI accurately reflected the temperature fluctuations occurring under real chain conditions. Shelf life predictions based on the discolouration of the TTIs were in accordance with the microbial shelf life of the product. The models were integrated in an online software tool to check for the compliance of the cold chain and predict the remaining shelf life of the product. The implementation of TTI and the software result in a valuable tool to support the decision-making process in the cold chain. The application of flexible shelf life enables the reduction of food waste in the meat supply chain.

scholarly journals Food Cold Chain in Indonesia during the Covid-19 Pandemic: A Current Situation and Mitigation

2020 ◽  
Vol 9 (2) ◽  
pp. 99-106
Author(s):  
Ilyas Masudin ◽  
Nika Tampi Safitri
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Food Supply ◽  
Cold Chain ◽  
Special Treatment ◽  
Business Sector ◽  
Short Life ◽  
The Impact ◽  
Business Sectors ◽  
A Current

The spread of the corona virus (COVID-19) has had a massive impact on all business sectors in Indonesia. Food cold supply chain is a business sector that is quite badly affected. This is because the food cold chain requires special treatment to maintain its quality, has a relatively short life and cannot be returned. This article discusses the impact of the COVID-19 pandemic and its social impacts such as social restrictions and area lockdown on the business of food cold chain. It also discusses mitigation that needs to be done to anticipate related issues such as food supply-demand, food safety and some transportation challenges

scholarly journals Intelligent Coordination Distribution of the Whole Supply Chain Based on the Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hongxiu Cui
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Economic Benefits ◽  
Cold Chain ◽  
The Internet ◽  
Key Technologies ◽  
Coordination System ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In this paper, through the intelligent research of the whole process of logistics and distribution with the Internet of Things supply chain, we study how to improve the development of the cold chain, reduce the loss in circulation, improve the social and economic benefits, and carry out intelligent information collection, monitoring, management, and information tracing of the whole cold chain. This paper analyzes and empirically studies the impact of key technologies of the Internet of Things in cold chain coordination from the perspective of building an intelligent cold chain coordination system with the Internet of Things technology. This paper analyzes the current situation of cold chain logistics and the impact that the application of IoT technology will have, explains that IoT technology can improve the intelligence level of the cold chain, and then introduces the application of intelligent cold chain logistics under IoT orientation, combining the process of cold chain logistics with the three-layer architecture of IoT technology. By extracting the key technologies of IoT perception layer, network layer, and intelligence layer, the intelligent cold chain coordination system based on IoT technology is constructed, and then, the correctness of the system is verified, to have some reference and evaluation for the cold chain construction. The system was then verified to have some reference and guidance significance for the construction and evaluation of the cold chain. The results of this paper are more accurate and more efficient.

scholarly journals Complexity analysis of cold chain transportation in a vaccine supply chain considering activity inspection and time-delay

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Daoming Dai ◽  
Xuanyu Wu ◽  
Fengshan Si
Keyword(s):  
Supply Chain ◽  
Time Delay ◽  
Activity Level ◽  
Cold Chain ◽  
Phase Iii ◽  
External Control ◽  
Chain Model ◽  
Adjustment Speed ◽  
The Stability ◽  
The Impact

AbstractThe development of COVID-19 vaccine is highly concerned by all countries in the world. So far, many kinds of COVID-19 vaccines have entered phase III clinical trial. However, it is difficult to deliver COVID-19 vaccines efficiently and safely to the areas affected by the epidemic. This paper focuses on vaccine transportation in a supply chain model composed of one distributor and one retailer (clinic or hospital), in which the distributor procures COVID-19 vaccines from the manufacturer and then resells them to the retailer. Distributor detects the activity level of the vaccines, and retailer is responsible for transportation of the vaccines. Firstly, we establish a difference equations model with time-delay. Secondly, we investigate the impact of time-delay on the stability of vaccine supply chain. In addition, we explore the influence of decision adjustment speed of the distributor (or retailer) on the stability of vaccine supply chain. Finally, we verify the theoretical results by a two-dimensional bifurcation diagram, the largest Lyapunov exponent, entropy, and domain of attraction. The results show that when the decision delay-time or the adjustment speed of decision variables exceeds a certain threshold, it brings a negative impact on the stability of vaccine supply chain system. The stability domain of the system shrinks as customers’ sensitivity to cold chain transportation decreases and by contrast expends as customers’ sensitivity to vaccine prices decreases. When the vaccine supply chain is in a state of chaos, the effect of external control over the system is superior to that of internal control over the system.

A novel approach to determine the impact level of each step along the supply chain on strawberry quality

2019 ◽  
Vol 147 ◽  
pp. 78-88 ◽  
Author(s):  
Katrina Kelly ◽  
Robert Madden ◽  
Jean Pierre Emond ◽  
Maria Cecilia do Nascimento Nunes
Keyword(s):  
Supply Chain ◽  
Novel Approach ◽  
The Impact

Preliminary Stochastic Model for Managing Vibrio parahaemolyticus and Total Viable Bacterial Counts in a Pacific Oyster (Crassostrea gigas) Supply Chain

2013 ◽  
Vol 76 (7) ◽  
pp. 1168-1178 ◽  
Author(s):  
JUDITH FERNANDEZ-PIQUER ◽  
JOHN P. BOWMAN ◽  
TOM ROSS ◽  
SILVIA ESTRADA-FLORES ◽  
MARK L. TAMPLIN
Keyword(s):  
Supply Chain ◽  
Stochastic Model ◽  
Vibrio Parahaemolyticus ◽  
Control Measures ◽  
Cold Chain ◽  
Predictive Tool ◽  
Potential Control ◽  
Pacific Oysters ◽  
Viable Bacteria ◽  
The Impact

Vibrio parahaemolyticus can accumulate and grow in oysters stored without refrigeration, representing a potential food safety risk. High temperatures during oyster storage can lead to an increase in total viable bacteria counts, decreasing product shelf life. Therefore, a predictive tool that allows the estimation of both V. parahaemolyticus populations and total viable bacteria counts in parallel is needed. A stochastic model was developed to quantitatively assess the populations of V. parahaemolyticus and total viable bacteria in Pacific oysters for six different supply chain scenarios. The stochastic model encompassed operations from oyster farms through consumers and was built using risk analysis software. Probabilistic distributions and predictions for the percentage of Pacific oysters containing V. parahaemolyticus and high levels of viable bacteria at the point of consumption were generated for each simulated scenario. This tool can provide valuable information about V. parahaemolyticus exposure and potential control measures and can help oyster companies and regulatory agencies evaluate the impact of product quality and safety during cold chain management. If coupled with suitable monitoring systems, such models could enable preemptive action to be taken to counteract unfavorable supply chain conditions.

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