Data-driven Food Supply Chain Management and Systems
Special issue call for papers from Industrial Management & Data Systems
A Special Issue of Industrial Management & Data Systems
Dr Ray Y. Zhong
Department of Industrial and Manufacturing Systems Engineering, The University of Hong Kong, Hong Kong
Dr Kim Hua Tan
Nottingham Business School, Nottingham University, UK
Professor Bhaskaran Gopalakrishnan
Industrial and Management Systems Engineering, Director of Industrial Assessment Center, West Virginia University, USA
About this Special Issue
This special issue focuses on up-to-date research and applications of data-driven models and systems for food supply chain management (FSCM), aiming to reduce food waste and improve logistics efficiency for a sustainable future.
Specifically, this special issue is going to address the following questions:
- What cutting-edge technologies could be used for facilitating the FSCM and how to capture, process and visualize the data for advanced decision-makings?
- How to build up various mathematical models to make full use of the captured data to achieve optimal decisions under different situations?
- How to integrate the models and IT systems to support the FSCM based on the data-driven fashions and how to apply these systems in various real industrial implementations?
- What lessons and insights could be achieved from using the data-driven models and systems in FSCM so that governmental and strategic implications could be observed?
Topics of interests include, but are not limited to, the following issues:
- FSCM data collection
- Data processing in FSCM
- FSCM Big Data visualization
- Big Data-driven FSCM models
- Data-driven food supply chain service innovation
- Economic models for FSCM
- Food waste reduction approaches
- FSCM for organic foods
- FSCM systems
- Sustainable cases
- Best practice
- Policy management in FSCM
Submission deadline: October 31, 2016
Papers reviewed: January 31, 2017
Revised papers reviewed and accepted: April 30, 2017
Final versions of accepted papers delivered: May 31, 2017
Further guidance on submission
Please read the publication style guidelines before submitting your paper, these can be found here. Please submit your article using IMDS’s ScholarOne portal and select “Data-driven Food Supply Chain Management and Systems” when it prompts to indicate the “Article Type” in the submission.
For further enquiries, please contact the managerial guest editor Dr. Ray Zhong at zhongzry[email protected]. Authors should contact [email protected] if they require any assistance. They must quote the journal name and special issue title with their enquiry.
About the journal
Industrial Management & Data Systems (IMDS) has an impact factor of 1.226 and provides the necessary information to enable managers to exploit the potential of new technology. It aims to improve understanding of all aspects of management activity such as management information systems, business process management and supply chain management. To find out more visit the homepage here.
Additional information about this Special Issue
Food supply chain management (FSCM) plays an important role in our daily life since it supplies us with necessity for our lives (Marsden, Banks et al. 2000). Packaging for food is very important before delivering to specific destinations (Olsmats and Kaivo-oja. 2014). Additionally, major food producers and consumers like EU, Russia, North America, China, and Australia are cooperating so as to improve the food usage due to the depression in volumes and prices in west, however, booming demand in China, Middle East and Russia for agriproducts (Friel, Barosh, and Lawrence. 2014; Micha, Khatibzadeh, et al. 2014).
However, inefficient and inappropriate management systems may cause large number of food losses. It was reported that, take fruit and vegetables for example, about 492,000,000 tons are wasted worldwide in 2011 (Gustavsson, Cederberg et al. 2011). In order to reduce the food waste, advanced technologies such as sensors, Internet of Things (IoT), and Cloud Computing have been used to support FSCM (Yu, Yan et al. 2001; Kelepouris, Pramatari et al. 2007; Manzini and Accorsi 2013; Yu and Nagurney 2013). Many manufacturers have deployed advanced technologies such as sensors and RFIDs to monitor food supply chain operations (Zhong, Huang et al. 2015). However, such massive and invaluable data from FSCM may bring new challenges such as data processing, data visualization, data-driven decision models, decision support systems (DSS), etc in the era of IoT.
Big Data, an emerging technology for dealing with large and complex data sets, is able to address the challenges (Tan, Zhan et al. 2015). Driven by the significant awareness and concerns for the food sustainability, this special issue aims to publish original works in FSCM, with topics including innovative research methodologies, Big Data-driven modeling and optimization for FSCM, case studies, FSCM system, and so on.