An optimization approach for managing fresh food quality throughout the supply chain

2011 ◽  
Vol 131 (1) ◽  
pp. 421-429 ◽  
Author(s):  
Aiying Rong ◽  
Renzo Akkerman ◽  
Martin Grunow
Keyword(s):  
Supply Chain ◽  
Food Quality ◽  
Optimization Approach ◽  
Fresh Food

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 Consumer Segment Based on Food Quality Dimension

2021 ◽  
Vol 56 (2) ◽  
pp. 512-523
Author(s):  
Hanifa Hasna Perdana ◽  
Fernianda Rahayu Hermiatin ◽  
Tomy Perdana ◽  
Agriani Hermita Sadeli ◽  
Velanda Ahtayary Putri
Keyword(s):  
Cluster Analysis ◽  
Supply Chain ◽  
Food Quality ◽  
Research Result ◽  
New Product ◽  
Point Of View ◽  
Fresh Food ◽  
Consumer Segment ◽  
Insight Into ◽  
Ward Method

The consumer has a different point of view when they decide to buy food. It depends on their desire for food quality. The actors in the supply chain may adjust their business to provide the quality that meets consumer demand. This study determines consumer segments based on quality, namely search, experience, and credence characteristics. Homogenous groups identify using k-means cluster analysis. Ward method used to decide the most exact number of clusters. The analysis based on consumer perceives on fresh food quality conducts on 238 respondents. The cluster analysis shows that there are four different groups. The first group consists of consumers who have a serious concern about new product quality. Also, there is a group which only emphasizes experience characteristics. In contrast, the second and fourth groups do not pay attention to quality. The research result represents a new insight into consumer segmentation through a study focus on quality characteristics. The result is to understand and improve marketing and supply chain development.

A reliable decision support system for fresh food supply chain management

2017 ◽  
Vol 56 (4) ◽  
pp. 1458-1485 ◽  
Author(s):  
Gabriella Dellino ◽  
Teresa Laudadio ◽  
Renato Mari ◽  
Nicola Mastronardi ◽  
Carlo Meloni
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Decision Support System ◽  
Support System ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management ◽  
Fresh Food

Propagation of risks and their impact on performance in fresh food retail

2015 ◽  
Vol 26 (3) ◽  
pp. 568-602 ◽  
Author(s):  
Samir K Srivastava ◽  
Atanu Chaudhuri ◽  
Rajiv K. Srivastava
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Performance Measures ◽  
Theory And Practice ◽  
Food Retail ◽  
Content Type ◽  
Fresh Food ◽  
Retail Supply Chains ◽  
And Performance ◽  
Supply Chain Risks

Purpose – The purpose of this paper is to carry out structural analysis of potential supply chain risks and performance measures in fresh food retail by applying interpretive structural modeling (ISM). Design/methodology/approach – Inputs were taken from industry experts in identifying and understanding interdependencies among food retail supply chain risks on different levels (sourcing and logistics outside the retail stores; storage and customer interface at the stores). Interdependencies among risks and their impact on performance measures are structured into a hierarchy in order to derive subsystems of interdependent elements to derive useful insights for theory and practice. Findings – Using the ISM approach the risks and performance measures were clustered according to their driving power and dependence power. Change in/inadequate government regulations’ are at the bottom level of the hierarchy implying highest driving power and require higher attention and focussed mitigation strategies. Risks like lack of traceability, transport delays/breakdowns and temperature abuse, cross-contamination in transport and storage have medium driver and dependence powers. Research limitations/implications – The approach is focussed on food retail supply chains in the Indian context and thereby limits the ability to generalize the findings. The academics and experts were selected on convenience and availability. Practical implications – It gives managers a better understanding of the risks and performance measures that have most influence on others (driving performance measures) and those measures which are most influenced by others (dependent performance measures) in fresh food retail and also a tool to prioritize them. This kind of information is strategic for managers who can use it to identify which performance measures they should concentrate on managing the trade-offs between measures. The findings and the applicability for practical use have been validated by both experts and practicing managers in food retail supply chains. Originality/value – The work is perhaps the first to link supply chain risks with performance and explains the propagation of risks in food retail supply chains. It contributes to theory by addressing a few research gaps and provides relevant managerial insights for practitioners.

scholarly journals The Impact of Food Quality Information Services on Food Supply Chain Pricing Decisions and Coordination Mechanisms Based on the O2O E-Commerce Mode

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
Xiaoqiu Yu ◽  
Xiaoxue Ren
Keyword(s):  
Supply Chain ◽  
Food Quality ◽  
Food Supply ◽  
Food Processing ◽  
Stackelberg Game ◽  
Information Service ◽  
Quality Information ◽  
Food Supply Chain ◽  
Quantity Discount ◽  
Pricing Decisions

This paper considers the price conflict problem between the online channel of a food processing factory and the offline channel of the food retailers in food supply chains by analyzing the pricing decisions and coordination mechanisms between the food processing factory and food retailers under the influence of a food quality information service. First, the Stackelberg game method and the Bertrand game method are used to optimize the pricing decisions with the goal of maximizing the profits of the food processing factory and retailer. The analysis shows that the food quality information service level is positively correlated with the price of the factory’s own channel, and the influence of the food quality information service level on the price of the food processing factory’s or the food retailer’s own channel is stronger than its influence on the price of a competitor’s channel. Second, the food supply chain members’ pricing decisions are analyzed using the case analysis method by considering practical problems in the food supply chain. The results indicate that the food processing factory should use the Stackelberg game to make pricing decisions. However, it is optimal for the food retailer to make pricing decisions under the Bertrand game, and the total profit of the food supply chain is optimized under centralized decision making. Finally, we use both the quantitative discount mechanism and the Stackelberg game method to analyze the profits obtained by the food processing factory and retailer. The results indicate that the food processing factory should implement a quantitative discount mechanism when the quantity discount coefficient is greater than 0.4, and the retailer should implement a quantity discount mechanism when the quantity discount coefficient is in the range of 0.25 to 0.4.

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