Rethinking and redesigning storage, packaging and distribution practices for food supply chain
Bibliographic Data
| ID | 21295563 |
|---|---|
| Authors | Shih‐Hao Lu (0000-0002-6242-0233, National Taiwan University of Science and Technology), Shih-Hao Lu, Rohit Raj (0000-0002-2851-7058, National Taiwan University of Science and Technology), Anupama Mahajan (University of Delhi), Ajay Jha (0000-0002-2630-6636, Jaipuria Institute of Management), Priyanka Verma (0000-0001-5803-6899, Chaoyang University of Technology), Hsia-Ping Lan (National Chin-Yi University of Technology), Sumanjeet Singh (0000-0003-0883-3077, University of Delhi) |
| Year | 2025 |
| Volume | 127 |
| Issue | 5 |
| Pages | 1648-1675 |
| Publication date | 2025-04-28 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | British Food Journal (JOURNAL) |
| Journal identifiers | ISSN: 0007-070X • E-ISSN: 1758-4108 |
| Publisher | Emerald (PUBLISHER) |
| DOI | 10.1108/bfj-03-2024-0286 |
| OpenAlex | W4404211849 |
| Language | EN |
| References cited | 88 |
Purpose The study aims to add to the existing literature on food supply chains by specifically taking into the redesigning of the alignment of storage, packaging and distribution practices in the modern complex supply chain. The redesign of the food supply chain’s storage, distribution and packaging is a transformative endeavor ultimately aimed at enhancing efficiency, sustainability and reliability. Design/methodology/approach In order to identify, classify and prioritize the main challenges, this study conducted an extensive analysis of the literature and experts’ opinions in the areas of academia, information technology and the food supply chain (FSC) using combined compromise solution method (CoCoSo) and complex proportional assessment (COPRAS). Findings The top three classes of key indicators revealed in this study are dynamic route optimization and on-demand delivery pods (RD4), implementation of active packaging with nanotechnology (RP3) and collaborative last-mile (RD2). The findings reveal that dynamic route optimization and on-demand delivery pods (RD4) and collaborative last-mile (RD2) are maintaining a balance between collaborative delivery networks through route optimization which is a very discussable theme in recent literature. Originality/value The research provides fresh insights into how perishable food shelf life parameters and the use of distribution networks within the short supply chain can be taken into consideration when redesigning the storage, packaging and distribution system for food supply chains
Business · Commerce · Distribution (mathematics) · Food packaging · Industrial organization · Operations management · Process management · Supply chain · Engineering · Food Science · Food Waste Reduction and Sustainability · Marketing · Quality and Supply Management · Sustainable Supply Chain Management
A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems
The study of remote working outcome and its influence on firm performance
Torn ties and waning morale
Current and future roles of the automotive and ICT sectoral systems in autonomous driving - Using the innovation system approach to assess value chain transformation
Sustainable strategies of industrial tourism in the agri-food business
Do food delivery apps influence food waste generation? A stimulus-organism-behavior-consequence (Sobc) exploration
Applying blockchain to quality food products
Evaluation of the agri-food supply chain risks
Exploring the role of digitalization as a driver for the adoption of circular economy principles in agrifood SMEs – an interpretive case study
Food quality and supply chain networks in dynamic business environments
Mobile applications to reduce food waste in supply chains
The potential for blockchain to improve small-scale agri-food business’ supply chain resilience
Exploring success factors in food waste prevention initiatives of retailers
Integration of IoT based routing process for food supply chain management in sustainable smart cities
Decision-making for sustainable urban transportation
| Citation velocity | historical |
|---|---|
| Highly cited | No |