scholarly journals Holistic View of the Agricultural Sustainability Data Ecosystem

2018 ◽  
Author(s):  
Robert Parkhurst ◽  
Jamie Powers ◽  
Dan McClure ◽  
Amy Hughes
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Similar Data ◽  
Value Proposition ◽  
Food Supply Chain ◽  
Holistic View ◽  
Packaged Goods ◽  
Food Retailers ◽  
Consumer Packaged Goods ◽  
Data Ecosystem

Companies increasingly request sustainability data from their suppliers. For the food supply chain, most food inputs are commodities, making it particularly difficult to collect information. Therefore, farmers routinely receive the same request for data from multiple parties including agricultural retailers, tool input providers, and food or seed companies. At the supply chain’s demand end, consumer packaged goods companies and food retailers are requesting similar data from their top suppliers. In the process, ag retailers and other farm advisers are often overlooked as valued partners in the collection, analysis, aggregation, and transfer of data. For participants to collect data there must be a solid value proposition for every participant. To ensure consistent reporting up and down the food supply chain, there need to be transparent metrics linking the nodes through which these data flow and allow the data to move up, down, and across the network. Finally, there must be a process or tools to ensure every sustainability claim is valid.

Prioritising the risks in Halal food supply chain: an MCDM approach

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shahbaz Khan ◽  
Mohd Imran Khan ◽  
Abid Haleem ◽  
Abdur Rahman Jami
Keyword(s):  
Supply Chain ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Food Supply ◽  
Fuzzy Ahp ◽  
Food Supply Chain ◽  
Holistic View ◽  
Content Type ◽  
Risk Elements ◽  
Halal Food

Purpose Risk in the Halal food supply chain is considered as the failure to deliver the product which complies with Halal standards. The purpose of this paper is to identify the risk elements associated with Halal food supply chains and prioritise them appropriately towards better management. Design/methodology/approach This research used a systematic literature review to identify various risk elements in the Halal food supply chain and consolidate them with the expertise of professionals and academicians. Further, the fuzzy analytic hierarchical process (fuzzy AHP) is applied to prioritise the identified risk elements. Findings The findings of the research suggest that “supply-related risks” are the most prominent risk. Raw material integrity issue is a vital element in the Halal food supply chain. The failure of the supplier to deliver material that complies with Halal standards reduces the industrial economic advantage. This study recommends that the integration of internal processes and outsourcing elements can mitigate the risk of the Halal food supply chain by having a holistic view of the processing and delivery of Halal foods. Research limitations/implications Systematic literature review and experts’ opinion are used to identify and consolidate risks. For the literature review, only the SCOPUS database is used; thus, there is a chance to overlook some risk elements. Additionally, the fuzzy AHP analysis depends on relative preference weight. Therefore, care should be taken while constructing a pairwise comparison matrix for risk elements. Practical implications The findings of the study can help the managers who have a holistic view on risk mitigation of the Halal food supply chain. This study may assist managers to share information about the processing of Halal food from top to bottom to manage risk. Originality/value This study may act as a baseline for undertaking future research in the area of risk management of the Halal food supply chain.

Impact of modern Retail over Food Supply Chain Management

2012 ◽  
Vol 3 (1) ◽  
pp. 45-47
Author(s):  
N.Arunfred N.Arunfred ◽  
◽  
Dr.D.Kinslin Dr.D.Kinslin
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management

Identifying Business-to-Business Unfair Trading Practices in the Food Supply Chain: The case of Cyprus

New Medit ◽  
2020 ◽  
Vol 19 (1) ◽  
pp. 19-34 ◽  
Author(s):  
Marinos Markou ◽  
Andreas Stylianou ◽  
Marianthi Giannakopoulou ◽  
Georgios Adamides
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Small Businesses ◽  
State Level ◽  
Strategic Partnerships ◽  
Food Supply Chain ◽  
National Legislation ◽  
Food Supply Chains ◽  
Enforcement Policy ◽  
Monitoring And Enforcement

Unfair Trading Practices (UTPs) between businesses in the food supply chain have a significant impact on the various stakeholders involved, and on the environment. So far, no attempt has been made at the Member State level for the identification of UTPs in the food supply chain and their impact on the relevant stakeholders. This study drew on this gap and attempted to identify the UTPs that exist in the Cypriot food supply chain, assess their impact on the involved stakeholders and provide guidelines that will assist the transposition of EU relevant Directive to the national law. To achieve this goal, the study was based on a quantitative survey of a representative sample of businesses using a specific questionnaire. The results showed that particular UTPs do appear in the food supply chain with a different frequency, while the majority of businesses have been victims of UTPs in the last five years. Notably, the estimated cost of UTPs as a percentage of the business annual turnover is considered important ranging from 5.7% for retailers to 31.9% for farmers. Thus, most participants agree that UTPs in the agricultural food sector should be regulated by national legislation. We argue that the national legislation for UTPs should be a mix of policies that integrate private, administrative and judicial methods of monitoring and enforcement. Policy and decision makers should seek to reinforce the role and the bargaining power of small businesses in the food supply chain. This might be accomplished through the development of efficient producers’ organizations, short food supply chains, interbranch organizations and strategic partnerships.

Sustainable Food Logistics Systems

2020 ◽  
Author(s):  
Zhaohui Wu ◽  
Madeleine Elinor Pullman
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Food Systems ◽  
Food System ◽  
New Technology ◽  
Cold Chain ◽  
Community Supported Agriculture ◽  
Food Supply Chain ◽  
Sustainable Food ◽  
Chain Management

Food supply chain management is becoming a critical management and public policy agenda. Climate change, growing demand, and shifting patterns of food production, delivery, and consumption have elicited a series of new challenges, such as food security, safety, and system resiliency. This chapter first introduces the typical players in a food supply chain and examines the global food system characterized by consolidation and industrialization. It then discusses some critical topics of the sustainable food supply chain that aim to address these challenges. These topics include traceability, transparency, certification and standards, and alternatives to industrialized food systems, including cooperatives, community-supported agriculture, and roles of small and medium-sized growers in regenerative agriculture. The chapter ends with a discussion of several important emerging logistics management topics, including last-mile delivery, new technology, and cold chain management.

scholarly journals AI-Enabled Efficient and Safe Food Supply Chain

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1223
Author(s):  
Ilianna Kollia ◽  
Jack Stevenson ◽  
Stefanos Kollias
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Latent Variable ◽  
Food Production ◽  
Domain Adaptation ◽  
Experimental Studies ◽  
Food Supply Chain ◽  
Food Retail ◽  
Expiry Date ◽  
Safe Food

This paper provides a review of an emerging field in the food processing sector, referring to efficient and safe food supply chains, ’from farm to fork’, as enabled by Artificial Intelligence (AI). The field is of great significance from economic, food safety and public health points of views. The paper focuses on effective food production, food maintenance energy management and food retail packaging labeling control, using recent advances in machine learning. Appropriate deep neural architectures are adopted and used for this purpose, including Fully Convolutional Networks, Long Short-Term Memories and Recurrent Neural Networks, Auto-Encoders and Attention mechanisms, Latent Variable extraction and clustering, as well as Domain Adaptation. Three experimental studies are presented, illustrating the ability of these AI methodologies to produce state-of-the-art performance in the whole food supply chain. In particular, these concern: (i) predicting plant growth and tomato yield in greenhouses, thus matching food production to market needs and reducing food waste or food unavailability; (ii) optimizing energy consumption across large networks of food retail refrigeration systems, through optimal selection of systems that can be shut-down and through prediction of the respective food de-freezing times, during peaks of power demand load; (iii) optical recognition and verification of food consumption expiry date in automatic inspection of retail packaged food, thus ensuring safety of food and people’s health.

Traceability system using IoT and forecasting model for food supply chain

2020 ◽  
Author(s):  
Ganjar Alfian ◽  
Muhammad Syafrudin ◽  
Norma Latif Fitriyani ◽  
Jongtae Rhee ◽  
Muhammad Rifqi Ma'arif ◽  
...  
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Forecasting Model ◽  
Food Supply Chain ◽  
Traceability System
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