scholarly journals Digital integration to enhance market efficiency and inclusion of smallholder farmers: a proposed model for fresh fruit and vegetable supply chain

2020 ◽  
Vol 23 (3) ◽  
pp. 319-337
Author(s):  
Swamikannu Nedumaran ◽  
Aravazhi Selvaraj ◽  
Ravi Nandi ◽  
Bhattacharjee Suchiradipta ◽  
Padmanabhan Jyosthnaa ◽  
...  

High-value agriculture in India is witnessing a transformation, specifically in fresh fruits and vegetables (FFV). Supply chain stakeholders, mainly small and marginal farmers, receive a very minimal share in consumer rupee due to market uncertainty, high post-harvest losses, information asymmetry, lack of processing facilities and the erratic demand-supply situation. The current study draws from an extensive review to propose a competitive, inclusive, sustainable and scalable supply chain model of primary processing centers connecting farmers directly and efficiently with consumers. The proposed model will connect producers with the rest of the supply chain and streamline the supply chain process to reduce post-harvest losses as much as possible. The integration of a market information system will ensure transparency to help in better decision-making, reduced intermediaries and information asymmetry for producers, as well as the systematic disposal of the produce. The model will increase the efficiency of the FFV supply chain and has practical implications for agribusiness management and policymakers in relation to FFV supply chain development in India.

2021 ◽  
Vol 13 (18) ◽  
pp. 10008
Author(s):  
Sumit Kumar Rana ◽  
Hee-Cheol Kim ◽  
Subhendu Kumar Pani ◽  
Sanjeev Kumar Rana ◽  
Moon-Il Joo ◽  
...  

In the era of the fourth industrial revolution, all aspects of the industrial domain are being affected by emerging technologies. Digitalization of every process is taking place or under process. One of the most important components common to every domain is the supply chain process. Organizations employ a digital supply chain to track the delivery of their products or materials. The digital supply chain is still suffering from a few issues such as no provenance, less transparency, and a trust issue. Blockchain technology, one of the emerging technologies, can be integrated with the supply chain to deal with the existing issues and to improve its performance. In this paper, a model is proposed to integrate blockchain technology with the supply chain to improve performance. The proposed model uses the combination of the Ethereum blockchain and the interplanetary file system to maintain the traceability, transparency, and trustworthiness of the supply chain.


Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Ágota Bányai ◽  
Tamás Bányai ◽  
Béla Illés

The globalization of economy and market led to increased networking in the field of manufacturing and services. These manufacturing and service processes including supply chain became more and more complex. The supply chain includes in many cases consignment stores. The design and operation of these complex supply chain processes can be described as NP-hard optimization problems. These problems can be solved using sophisticated models and methods based on metaheuristic algorithms. This research proposes an integrated supply model based on consignment stores. After a careful literature review, this paper introduces a mathematical model to formulate the problem of consignment-store-based supply chain optimization. The integrated model includes facility location and assignment problems to be solved. Next, an enhanced black hole algorithm dealing with multiobjective supply chain model is presented. The sensitivity analysis of the heuristic black hole optimization method is also described to check the efficiency of new operators to increase the convergence of the algorithm. Numerical results with different datasets demonstrate how the proposed model supports the efficiency, flexibility, and reliability of the consignment-store-based supply chain.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joerg Leukel ◽  
Vijayan Sugumaran

PurposeProcess models specific to the supply chain domain are an important tool for the analysis of interorganizational interfaces and requirements of information technology (IT) systems supporting supply chain decision-making. The purpose of this study is to examine the effectiveness of supply chain process models for novice analysts in conveying domain semantics compared to alternative textual representations.Design/methodology/approachA laboratory experiment with graduate students as proxies for novice analysts was conducted. Participants were randomly assigned to either the diagram group, which worked with “thread diagrams” created from the modeling grammar “Supply Chain Operation Reference (SCOR) model”, or the text group, which worked with semantically equivalent textual representations. Domain understanding was measured using cognitively demanding information acquisition for two different domains.FindingsDiagram users were more accurate in identifying product-related information and organizing this information in a graph compared to those using the textual representation. The authors found considerable improvements in domain understanding, and using the diagrams was perceived as easy as using the texts.Originality/valueThe study's findings are unique in providing empirical evidence for supply chain process models being an effective representation for novice analysts. Such evidence is lacking in prior research because of the evaluation methods used, which are limited to scenario, case study and informed argument. This study adds the diagram user's perspective to that literature and provides a rigorous empirical evaluation by contrasting diagrammatic and textual representations.


Author(s):  
Ahmed Faek Elgendy

This study aims to investigate the nature of the relationship between Big Data Analysis as a mediator in Process Orientation (PO) and Information Systems Programming (ISP) to supply chains processes in Saudi Arabian industrial organizations. A stratified random sample of 357 managers and employees working in 37 industrial companies in Saudi Arabia was tested. The study relied on the descriptive and analytical research methodology. The results indicated that there is a significant indirect effect of Big Data Analysis (Planning, Procuring, Manufacturing, Delivering) as the mediator on Process Orientation and Information Systems Programming (ISP) and (PO) to improve supply chain process as well as organizational effectiveness. The researcher made a number of recommendations for the Saudi Arabian manufacturing firms to develop analytical capabilities in managers in order to utilize big data analysis as a tool to increase efficiency and effectiveness in the organizational system. A wide spread awareness program about the benefits to adopt big data analysis and management information systems may be adopted to ensure an efficient supply chain system.


2020 ◽  
Vol 8 (5) ◽  
pp. 1261-1265

Objective This research is to examine the supply chain management process carried out by fishermen in searching for fish in the Brondong archipelago - Lamongan East Java fishing port. In this study, researchers used a qualitative case study method with miles and hubberman analysis techniques (data reduction, data display and data verification). In this research, researchers look directly at the supply chain management process carried out there. In this study, researchers also examined the process that is adapted to Islamic Sharia, so that the supply chain process that is there can be said as a halal activity and also thayyiban. In accordance with the research objective, which is to examine halal supply chain management, researchers found that the process carried out by the fishermen who were there in carrying out their activities could be said to be halal and also tayiban


2011 ◽  
Vol 13 (4) ◽  
Author(s):  
Marcos Paulo Valadares de Oliveira ◽  
Kevin McCormack ◽  
Marcelo Bronzo Ladeira ◽  
Peter Trkman ◽  
Joachim Van den Bergh

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