scholarly journals Quality Visibility Improvement with Effort Alignment and Cost-Sharing Policies in a Food Supply Chain

2020 ◽  
Vol 2020 ◽  
pp. 1-17
Author(s):  
Wenbo Zhang ◽  
Qin Su

Improving quality visibility along a food supply chain has been considered as a critical driver of quality risk mitigation, safety and security assurance, and performance sustainability. This paper explores the coordination mechanisms in a food supply chain, where the demand and costs are sensitive to the supply chain quality visibility that depends on an upstream supplier and a downstream retailer jointly, and the effort to improve quality visibility is increasingly expensive. After comparing the centralized and decentralized supply chain models to discover an opportunity for Pareto improvement, it is proved that a pure revenue-sharing contract fails to coordinate the supply chain, while the price discount contract with effort alignment policy or effort cost-sharing policy works. The two coordinating contracts’ boundary conditions of excluding deviated actions are presented. It is shown that the contract with effort alignment policy is cheaper but more rigid, whereas the cost-sharing one allows us to arbitrarily allocate the supply chain’s profits despite more information being collected. The models are applied to a fresh chicken supply chain in order to verify their effectiveness and robustness in reality. The impacts of several specific parameters on supply chain decisions and performances are analyzed, and the results reveal some meaningful managerial implications regarding supply chain quality visibility.

2021 ◽  
pp. 105-122
Author(s):  
Ramesh Krishnan ◽  
Phi Yen Phan ◽  
Arshinder Kaur ◽  
Sanjoy Kumar Paul

2022 ◽  
pp. 127-150
Author(s):  
Pinki Saini ◽  
Unaiza Iqbal ◽  
Mazia Ahmed ◽  
Devinder Kaur

Today, the globalization of the supply chain in the food industry has surged remarkably; hence, food safety and quality certification have become critical. Blockchain is recognized as a promising technology in the agri-foods industry where it can act as a systematic and robust mechanism for increasing the food traceability and provide a transparent and efficient way to assure quality, safety, and sustainability of agri-foods. By lowering the cost and increasing value, this digital technology has the potential to increase profitability of agricultural produce along the value chain. This chapter aims to investigate the potential utilization of blockchain technology in the agri-food industry, where it can be used to address issues of trust and transparency and to facilitate sharing of information sharing among stakeholders. The technology is still in a preliminary stage; thus, this chapter is written to examine its implication in the agri-food supply chain, existing initiatives, challenges, and potential.


Author(s):  
Lamiae Douiri ◽  
Abdelouahhab Jabri ◽  
Abdellah El Barkany

This paper deals with the integration of the cost of food quality COFQ in decision-making on storage and transportation conditions through a food supply chain. We propose a quantitative model which formulates the Cost of Food Quality COFQ across the food supply chain according to the classical model PAF. Results obtained using CPLEX are illustrated with numerical examples to highlight the impact of quality parameters such as cooling cost and transportation cost factor on total cost of the Food Supply Chain (FSC), and thus to show how consideration of quality costs may lead to increased efficiency and cost saving of the food supply chain.


2017 ◽  
Vol 24 (1) ◽  
pp. 2-23 ◽  
Author(s):  
Surya Prakash ◽  
Gunjan Soni ◽  
Ajay Pal Singh Rathore ◽  
Shubhender Singh

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.


2020 ◽  
Vol 11 ◽  
Author(s):  
Jianhong He ◽  
Yaling Lei ◽  
Xiao Fu ◽  
Chia-Hsun Lin ◽  
Chih-Hsiang Chang

2021 ◽  
Author(s):  
ziyuan zhang ◽  
Liying Yu

Abstract In the context of low-carbon economy, supply chain members’ joint emission reduction issue has become a research hotspot, while there are few researches which synthetically studies the effect of consumers’ reference low-carbon effect and supply chain members’ altruistic behavior on their decisions. To study the impact of supply chain members’ altruistic behavior and consumers’ reference low-carbon effect on their joint emission reduction decisions and profits, we build optimization models under four decision scenarios, in which we solve the manufacturer’s and the retailer’s optimal emission reduction strategies and other equilibrium solutions by differential game theory. We obtain some findings. First, consumers' reference low-carbon effect will harm the profits of the manufacturer and the retailer, discourage the manufacturer's enthusiasm to reduce emissions and retailer's enthusiasm for low-carbon publicity. Second, the altruistic behavior of the manufacturer and the retailer can not only weaken the negative impact of the reference low-carbon effect, but also promote both parties to actively reduce emissions, help achieve Pareto improvement of their own profits and utilities, and obtain additional social welfare. Third, the cost-sharing contract can encourage the manufacturer to increase emission reduction investment without affecting the retailer’s low-carbon publicity investment, and can achieve a Pareto improvement of both parties’ profits and utilities. In addition, the cost-sharing ratio is only proportional to the marginal profits and altruistic intensity of both parties, and is not affected by the reference low-carbon effect. Meanwhile, the cost-sharing ratio will decrease as the manufacturer’s marginal profit and altruistic intensity increase, and will increase as the retailer’s marginal profit and altruistic intensity increase. In particular, when the retailer is completely altruistic, the cost-sharing contract can achieve perfect coordination of the supply chain.


2020 ◽  
Vol 12 (4) ◽  
pp. 1289 ◽  
Author(s):  
Li Cui ◽  
Siwei Guo ◽  
Hao Zhang

Serious environmental issues have drawn the attention of the agricultural sector. Consumers’ concerns about their personal health and food safety have stimulated the demand for green agri-food, which has also made it important to focus on the green agri-food supply chain to improve the food quality and reduce the associated environmental concerns. This paper discusses coordination issues of the green agri-food supply chain under the background of farmers’ green farming and retailers’ green marketing, and the impact of a revenue-sharing contract on key decisions of supply chain participants. On the basis of the two-echelon green agri-food supply chain composed of a farmer and a retailer, a revenue-sharing contract was established that takes the cost of farmer’s green farming and retailer’s green marketing into account. Through the comparison of the model results, it is concluded that the revenue-sharing contract is beneficial to not only increase the greening level, but also improve both the farmer’s profit and the retailer’s profit. Moreover, the effectiveness of the revenue-sharing contract is positively correlated with consumers’ sensitivity to the greening level. Finally, the conclusion is verified by numerical simulation and some management suggestions are given.


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