A quantitative risk assessment methodology and evaluation of food supply chain

2017 ◽  
Vol 28 (4) ◽  
pp. 1272-1293 ◽  
Author(s):  
Rishabh Rathore ◽  
Jitesh J. Thakkar ◽  
Jitendra Kumar Jha
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Food Supply ◽  
Social Issues ◽  
Risk Index ◽  
Mitigation Strategies ◽  
Quantitative Risk Assessment ◽  
Food Supply Chain ◽  
Content Type ◽  
Risk Quantification

Purpose The food supply chain is exposed to severe environmental and social issues with serious economic consequences. The identification and assessment of risk involved in the food supply chain can help to overcome these challenges. In response, the purpose of this paper is to develop a risk assessment framework for a typical food supply chain. Design/methodology/approach An integrated methodology of grey analytical hierarchy process and grey technique for order preference by similarity to the ideal solution is proposed for developing a comprehensive risk index. The opinion of the experts is used to illustrate an application of the proposed methodology for the risk assessment of the food supply chain in India. Findings Valuable insights and recommendations are drawn from the results, which are helpful to the practitioners working at strategic and tactical levels in the food supply chain for minimising the supply chain disruptions. Research limitations/implications The risk quantification for the case organisation is primarily based on inputs collected from the experts working for Indian food supply chain, and so the generalisation of the results is limited to the context of developing countries. However, the generalisability of the proposed risk quantification methodology and key insights developed in the food supply chain will assist practitioners in policy making. Practical implications The risk priorities established by this research would enable an implementation of systematic risk mitigation strategies and deployment of necessary resources for leveraging the efficiency of food supply chain. Originality/value Specifically, this research has delivered a risk quantification framework and strengthened the inquiry of risk management for the food supply chain.

Factors impacting the quality of fresh produce in transportation and their mitigation strategies: empirical evidence from a developing economy

2021 ◽  
Vol 11 (2) ◽  
pp. 121-139
Author(s):  
Saurav Negi ◽  
Shantanu Trivedi
Keyword(s):  
Factor Analysis ◽  
Supply Chain ◽  
Food Supply ◽  
Developing Economies ◽  
Fresh Produce ◽  
Uttar Pradesh ◽  
Mitigation Strategies ◽  
Food Supply Chain ◽  
Content Type

PurposeThis study explores the factors that impact the quality of fresh produce in the transportation phase of the supply chain and the mitigation framework for improving the quality to curb the losses.Design/methodology/approachThis study aimed for an exploratory analysis using both quantitative and qualitative research methods. Using a questionnaire with responses from 172 transporters from the Uttar Pradesh region, India, primary data were gathered through a survey. Factors were identified using factor analysis and mitigation strategies were suggested for the factors through semi-structured interviews with six experts in transportation, agribusiness and food supply chain.FindingsFour factors that impact the quality were identified based on the factor analysis, namely operational issues, poor preservation, lack of ease of in-transit and poor infrastructure. The operational issue was found to be the main factor influencing the quality of fresh produce. The study also proposed the mitigation framework for the factors based on the interview results.Research limitations/implicationsThe present study is confined to the fresh produce supply chain transportation process, particularly fruits with an emphasis on the Uttar Pradesh region, India.Originality/valueThere is a lack of literature on implying mitigation strategies for factors affecting fresh produce quality in the transport process in India. Thus, this study attempts to fulfill this gap and has added to the food supply chain literature that could help scholars and practitioners in improving the food supply chain in developing economies.

Risk analysis and mitigation for perishable food supply chain: a case of dairy industry

2017 ◽  
Vol 24 (1) ◽  
pp. 2-23 ◽  
Author(s):  
Surya Prakash ◽  
Gunjan Soni ◽  
Ajay Pal Singh Rathore ◽  
Shubhender Singh
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Risk Mitigation ◽  
Dairy Industry ◽  
Mitigation Strategy ◽  
Mitigation Strategies ◽  
Food Supply Chain ◽  
Content Type ◽  
Indian Context ◽  
Risk Mitigation Strategies

Purpose The purpose of this paper is to present a methodology to analyze the risks present in perishable food supply chain and to determine the most effective risk mitigation strategies. It is achieved by understanding the dynamics between various risks in perishable food supply chain and modeling them using interpretive structural modeling (ISM). Design/methodology/approach Four categories and 17 types of risk are established from literature and conducting brainstorming sessions with managers/engineers in Indian dairy firms. A methodology is proposed using ISM, risk priority number and risk mitigation number to prioritize risk mitigation strategy decisions for the dairy industry. Findings For a perishable food supply chain, risk positioned at lower levels (levels 1 or 2) in the hierarchy should be targeted first, while formulating mitigation strategies. To investigate further, risk- enabling factors which are identified for an Indian dairy firm for these levels 1 and 2 risks and mitigation strategy prioritization show that supplier side risks are more dominant followed by market risks and process risks. Research limitations/implications This proposed methodology has not been statistically validated or empirically tested, and factors taken are in the Indian context, but the authors believe that the study is highly relevant to other markets as well because the ISM-based analysis is for generic perishable food supply chain environment. Practical implications This study provides a useful approach to managers/decision makers to identify, analyze and prioritize risk in the supply chain. It also provides insights into the mutual relationships of supply chain risks which would help them to focus on the effective risk mitigation strategies formulation. The study provides the insights to benchmark and risk management in the dairy industry environment with priority considerations. Originality/value This paper provides an integrated approach to identifying, quantify, analyze, evaluate and mitigate the risks of perishable food (in the dairy environment) in the Indian context.

scholarly journals Impact of supply chain integration on halal food supply chain integrity and food quality performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohd Helmi Ali ◽  
Mohammad Iranmanesh ◽  
Kim Hua Tan ◽  
Suhaiza Zailani ◽  
Nor Asiah Omar
Keyword(s):  
Supply Chain ◽  
Food Safety ◽  
Food Quality ◽  
Food Supply ◽  
Structural Equation ◽  
Clear Understanding ◽  
Food Supply Chain ◽  
Content Type ◽  
Halal Food ◽  
The Impact

Purpose The current complex halal food supply chain (SC) has caused food scandals, which have illustrated the weakness of multiple food quality standards and certification and audits in ensuring food safety. Drawn on the resource-based view (RBV) theory, the purpose of this study is to explore the impacts of SC integration (SCI) on halal food SC integrity and, consequently, food quality. Design/methodology/approach Empirical data were collected from 275 halal-certified food companies in Malaysia and analysed using structural equation modelling – SmartPLS3.0. Findings The results confirmed that SCI, including internal, supplier and customer integrations, has significant effects on the dimensions of the halal food SC integrity which, in turn, lead to halal food safety and quality. Practical implications The importance of SCI in halal food SC is highlighted in this study. The impact of SCI is contexted in halal food SC integrity and food quality. Therefore, it provides a clear understanding to managers of SC applicability in the halal food industry. Originality/value Based on the RBV theory, this study contributes to the limited body of research of the relationships among SCI from the context of the halal industry with a specific focus on food supply chain integrity and food quality.

Food tracking and blockchain-induced knowledge: a corporate social responsibility tool for sustainable decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Christian Rainero ◽  
Giuseppe Modarelli
Keyword(s):  
Decision Making ◽  
Corporate Social Responsibility ◽  
Supply Chain ◽  
Social Responsibility ◽  
Food Supply ◽  
Field Analysis ◽  
Food Supply Chain ◽  
Content Type ◽  
Theoretical Contribution ◽  
Corporate Social

PurposeIn the disruptive technologies era, the lack of convincing business cases on blockchain (BC) adoption about food supply chain, the existence of uncertainties and barriers to adoption due to knowledge scarcity on characteristics as well as the potentialities and risks involved in it, have triggered the need to investigate the first multinational BC adoption for food supply chain in Europe, to consider how it can guarantee knowledge for the consumption/purchase decision-making and the creation-mechanism of consciousness for sustainable behavioral choice.Design/methodology/approachThe authors provide a field exploratory analysis based on customers' perceptions and real knowledge about BC (as a knowledge-constructive tool) in the food and beverage sector. This connected with the need for an informed context, favoring sustainable conscious decision-making related to both the food chain and innovation acceptance. This analysis included the use of innovation acceptance as a corporate social responsibility (CSR) strategic orientation through a survey- and interview-based field analysis (80 respondents).FindingsThe findings of this study can be considered as antecedents of innovation acceptance in the sector. The analysis assesses consumers' scarce knowledge and perceptions on the BC system, the scarce usage level and the higher acquiring propensity for traceable foodstuffs generating bi-directional/dimensional value, considering that consumption habits could change through security and certainty antecedents and induced knowledge provided by external technological intervention.Originality/valueBy trying to match innovation and the knowledge-construction need as a vehicle for acceptance, the theoretical contribution would empower the literature on food traceability from the perspective of strategic BC application through a from-knowledge-to-knowledge strategy.

Supply chain issues in SME food sector: a systematic review

2019 ◽  
Vol 17 (1) ◽  
pp. 19-65 ◽  
Author(s):  
Arun Jose ◽  
PrasannaVenkatesan Shanmugam
Keyword(s):  
Supply Chain ◽  
Product Quality ◽  
Food Supply ◽  
Food System ◽  
Ghg Emission ◽  
Major Research ◽  
Food Sector ◽  
Food Supply Chain ◽  
Content Type ◽  
Research Themes

Purpose The purpose of this paper is to investigate the significant supply chain issues in the small and medium-sized enterprise (SME) food industry. The objectives are to identify the major themes and the dynamic evolution of SME food supply chain (FSC) issues, the current research trends, the different modelling approaches used in SME FSC, and the most addressed SME food sector. Design/methodology/approach In all, 3,733 published articles from 2002 to 2018 in the Clarivate Analytics Web of Science database were collected, from which 1,091 articles were shortlisted for the review. The authors used bibliographic coupling combined with co-word analysis to identify the historical relations of the research themes that emerged during the periods 2002–2014 and 2002–2018. Findings This research identified five major research themes such as production and distribution in alternative food networks, relationship, safety and standards in the FSC, greenhouse gas (GHG) emission impact of the farm food system, traceability and product quality in FSC and asymmetric price transmission in the FSC. Among the identified themes, GHG emission impact of the farm food system and traceability and product quality in the FSC have received increasing attention in recent years. The dairy sector is the most addressed sector (36 per cent), followed by fruits and vegetables (27 per cent), meat and poultry (18 per cent), seafood (10 per cent) and grains and oilseed (8 per cent). It is also identified that the dairy sector has received significant attention in the “GHG Emission impact of farm food system” theme. Similarly, meat and poultry sectors have received much attention in the “Traceability and product quality in the food supply chain” theme. Also, the authors identified that the empirical modelling approaches are the most commonly used solution methodology, followed by the conceptual/qualitative methods in the SME FSC. Originality/value This study maps and summarizes the existing knowledge base of supply chain issues in the SME food sector. The results of this review provide the major research areas, most commonly used approaches and food sectors addressed. This study also highlights the research gaps and potential future research direction.

scholarly journals The importance of relationship characteristics in the export performance of food firms

2020 ◽  
Vol 122 (4) ◽  
pp. 1305-1320
Author(s):  
Philippos Karipidis ◽  
Polymeros Chrysochou ◽  
Ioanna Karypidou
Keyword(s):  
Supply Chain ◽  
Food Supply ◽  
Online Survey ◽  
Export Performance ◽  
Governance Mechanisms ◽  
Business Systems ◽  
Food Supply Chain ◽  
Public Authorities ◽  
Content Type ◽  
Producer Prices

PurposeThe purpose of this study is to explore how food-exporting firms assess the importance of relationship characteristics of the supply chain that impact their performance as well as how it relates to export performance indicators.Design/methodology/approachAn online survey was administered across 83 food firms in Greece, assessing the importance of relationship characteristics of the supply chain by using the best–worst scaling technique.FindingsThe most important characteristics relate to the quality of the primary material and the procurement costs and producer prices; these are considered more important by export-oriented food firms compared to non–export-oriented food firms. Characteristics that relate to the relationship between members of the agri-food supply chain and the interorganizational business systems and governance mechanisms are also considered of average importance. Characteristics related to the adoption of differentiation strategies are considered least important.Practical implicationsProducers should emphasize the quality and prices of their product as well as establish collaborations with food firms. Food firms need to emphasize interorganizational business systems and governance mechanisms that reduce procurement costs, instead of trying to reduce producer prices. Public authorities should engage stakeholders of the agri-food supply chain in relationships that will enable food firms to deliver on their quality and price demands.Originality/valuePrimary production and collaborations of it with food firms have not been studied in regards to what extent they relate to food firms' export performance.

Parametric review of food supply chain performance implications under different aspects

2020 ◽  
Vol 17 (3) ◽  
pp. 421-453 ◽  
Author(s):  
Janpriy Sharma ◽  
Mohit Tyagi ◽  
Arvind Bhardwaj
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management ◽  
Content Type ◽  
Theoretical Approaches ◽  
Indian Context ◽  
Comparative Review ◽  
Indian Scenario

PurposePresented work gives comparative review of food supply chain (FSC) under various notions related to its conceptualisation, operationality and technological advancements in lieu with Industry 4.0 revolution. In Indian scenario, the impression of FSC seems in a scattered way that cannot be directly useful for an organisation, to overcome this scattering, a framework has been developed to consolidate the previous research works and exploration of new trends in food supply chain management (FSCM) in context to Indian scenario.Design/methodology/approachThis article encapsulates the essence of various research articles and reports retrieved from databases of Emerald and Elsevier's Science direct, clustering the various notions related to FSC in Indian context. To visualise the one-sight view of related works, a pictorial representations have also been appended.FindingsThis article explains the general aspect of FSC and its linkage in context to Indian system. Presented work outlays both empirical and theoretical approaches trending from last 15 years. As research count in context to Indian FSC is lacking, so this work will be a road map for expedition in direction of FSCM, in era of research.Practical implicationsFindings and suggestion in this work can expanded in various industries related to food, helping to turn their fortune and enrichment of Indian FSC.Social implicationsFood is binding word for all the commodities, and its effective supply chain management is a big boon for economy of country along with large employment generation for people directly/indirectly associated with this industry. This article covers a generalise approach from ground level framework to a level of advancement which fulfil technological aspects, future needs and upcoming trends in lieu to need of developing nation.Originality/valueAs limited research is done in Indian FSCM, this work to bridge this gap along with a well-defined framework which going to explore FSC. This work is going to be facilitation for researchers of this area as no major review for Indian context has not been published.

A neural network approach for retailer risk assessment in the aftermarket industry

2019 ◽  
Vol 26 (5) ◽  
pp. 1631-1647 ◽  
Author(s):  
Shirin Rezaei ◽  
Sajjad Shokouhyar ◽  
Mostafa Zandieh
Keyword(s):  
Neural Network ◽  
Risk Assessment ◽  
Supply Chain ◽  
Mitigation Strategies ◽  
Risk Level ◽  
Self Organizing Map ◽  
Neural Network Approach ◽  
Content Type ◽  
Risk Levels ◽  
Risk Management Process

Purpose Given the competitive environment and complicated relationships in supply chains in the modern era, it is important to take into account internal and external risks. In addition, proper methods must be designed to evaluate these risks correctly. The purpose of this paper is to provide a suitable map based on the artificial neural network technique to assess and classify the risk levels of retailers who have interconnected rules in the downstream of the supply chain. Design/methodology/approach In this research, a model for risk assessment with a hexagonal grid and 2D self-organizing map was applied. Findings According to the results, the model used in the study can provide a basis for classification of retailers based on the specified risk levels defined by the experts and risk managers of the company. Also with the model’s visual output, managers can have a better understanding of the distribution of the risk level of retailers. Practical implications The proposed methodology can be adopted by managers to assess the risk of members involved in the supply chain, helping them to formulate the risk mitigation strategies based on the risk levels. Originality/value As a part of the risk management process, organizations can use this developed method to reduce the existing risks imposed by the members or customers on the company.

The relationship between halal traceability system adoption and environmental factors on halal food supply chain integrity in Malaysia

2019 ◽  
Vol 11 (1) ◽  
pp. 117-142 ◽  
Author(s):  
Norasekin Ab Rashid ◽  
Jamil Bojei
Keyword(s):  
Supply Chain ◽  
Environmental Factors ◽  
Food Supply ◽  
Food Industry ◽  
Food Supply Chain ◽  
Content Type ◽  
Traceability System ◽  
Food And Beverages ◽  
Halal Food ◽  
The Relationship

Purpose Muslim consumers have been shocked with the news of cross-contamination issues in the Halal food that they consumed. These issues make them put more effort in ensuring the products that they purchased being monitored throughout the supply chain. In this case, food companies must be prepared to implement systematic traceability system to ensure the authenticity of Halal products and comprehend the importance of Halal industry environmental factors (HIEF) in enhancing integrity of Halal food supply chain and protect from any risk of cross-contaminations. This paper aims to clarify the relationship between the Halal traceability system adoption (HTSA) and HIEFs on Halal food supply chain integrity (HFSCIn). Design/methodology/approach The study opted quantitative research approach by using the self-administrated questionnaires. The questionnaires were distributed during Malaysia International Halal Showcase (MIHAS) 2014 and Halal Fiesta Malaysia (HALFEST) 2014. 127 Malaysian Halal food and beverages companies have been involved in the study. Most of the respondents are the general manager or owner of the company, Halal executives, quality assurance managers, operation managers and sales manager. Findings The study found that there is a significant relationship between HTSA and HIEF on HFSCIn. The study also found that the highest adoptions of Halal traceability system are among the producer and end user, while the highest contributions in influencing the HIEF are the economic and socio-cultural factors. Research limitations/implications This study only focused on Halal food industry particularly the food and beverages category. Thus, future study can explore further on every category in food industry such as raw materials and ingredients; poultry, meat and dairy; fast food and premises and make comparison between pharmaceutical, cosmetics and health care in Halal industry. In addition, the sample size (N = 127) can be considered small; therefore, it is recommended that in future the subject matter be explored with a much larger sample to allow generalization of the result. Originality/value This study provided, perhaps for the first time, an analysis of the relationship between traceability adoptions and HIEF on HFSCIn.

Food loss and waste: the new buzzwords. Exploring an evocative holistic 4Es model for firms and consumers

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mariantonietta Fiore
Keyword(s):  
Supply Chain ◽  
Food Waste ◽  
Food Supply ◽  
Control Point ◽  
Management Approach ◽  
Time Behavior ◽  
Food Supply Chain ◽  
Content Type ◽  
Food Loss ◽  
Critical Control Point

PurposeEtymologically, the word “loss” means to be deprived, temporarily or permanently, of use of faculty or an advantage. Therefore, when businesses and entrepreneurs suffer large amount of losses, they can be attributed to a non-effective and non-efficient way of handling assets. Consequently, high levels of bad management can be the cause for food losses (FL) across the agri-food supply chain, food waste (FW) depends on consumers' behavior in organizing food basket. Food loss and food waste (FWL) negatively affect environment and global economy. The purpose of this paper is to propose a holistic 4Es (Ethical_Equity_Ecological_Economic) approach aimed at better managing and treating FLW along the agri-food chain from upstream to downstream stages by addressing entrepreneurs and consumers' approach.Design/methodology/approachThe work focuses on the definition and designing of three possible tools: (1) the implementation of a FL_break-even point model; (2) the Hazard Analysis Critical Control Point (HACCP) procedures including a scheme for FL critical points and (3) a consumer's tax FW declaration model. Beginning with these tools, the work tries to define a holistic model by involving all the actors performing in a strictly inter- linked system.FindingsApproaching the FLW issue in a holistic way can ensure the involvement of engaged and productive people at work, lead to strategies and policies aimed at enriching consumers' awareness and entrepreneurs' management approach, and can address the handling of FLW toward Ethical, Equity, Ecological_and Economic (that means effective and efficient) paths.Social implicationsMonitoring and decreasing FLW by implementing the proposed tools from upstream to downstream of the food supply chain can certainly improve the reliability of firm production and investment decisions, and at the same time, behavior of people who feel to be part of an interrelated system. This can help to lighten FLW negative impacts on consumers' income and on pollution as well as indirectly on poverty.Originality/valueThis paper wants to make an innovative attempt to approach the FLW issue in a global and holistic way, while focusing on behavior and awareness of firms/entrepreneurs and consumers/citizens. In addition, the tools and approach defined pave the way for subsequent empirical works to follow.

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