The Experts below are selected from a list of 6720 Experts worldwide ranked by ideXlab platform
Selwyn Piramuthu - One of the best experts on this subject based on the ideXlab platform.
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rfid in highly Perishable Food supply chains remaining shelf life to supplant expiry date
International Journal of Production Economics, 2013Co-Authors: Martin Grunow, Selwyn PiramuthuAbstract:Abstract RFID (Radio-Frequency IDentification) has been proposed as a leading technology that could help reduce wastage in Perishable Food supply chains. This is due to their cost-effective ability to reliably identify tagged items as well as gather information on their ambient conditions through appropriate sensors. We model and study the utility of sensor-enabled RFID-generated item-level information in a highly Perishable Food supply chain from several perspectives including the distributor, retailer and consumer. With specific focus on expiry date and remaining shelf-life, we develop conditions under which the incorporation of RFID could benefit distributors, retailers and consumers. We also consider RFID investment decision in a highly Perishable Food supply chain.
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internet smart card for Perishable Food cold supply chain
International Conference on Intelligent Sensors Sensor Networks and Information Processing, 2013Co-Authors: Pascal Urien, Selwyn PiramuthuAbstract:A distinguishing characteristic of all Perishable Food products is their degradation in quality over time. The rate of degradation depends on the initial quality of the product as well as the ambient conditions they are subjected to until they reach the end of the supply chain. Clearly, a higher initial quality and relatively slow rate of degradation would result in a better quality product. While reasonable steps are taken to ensure their quality, it is rather challenging to accomplish this due to the inherent limitations in currently used technology both in warehouses as well as during transportation. A related issue is that of contamination and how tracking and tracing of Food helps control the spread of contaminated items. We propose the use of the Internet Smart Card in Perishable Food cold supply chains for tracking/tracing and also to improve the level of control of ambient conditions and thereby the quality of the Perishable item when it is sold and consumed.
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rfid generated traceability for contaminated product recall in Perishable Food supply networks
European Journal of Operational Research, 2013Co-Authors: Selwyn Piramuthu, Poorya Farahani, Martin GrunowAbstract:Abstract As Perishable Food supply networks become more complex, incidents of contamination in these supply networks have become fairly common. Added to this complexity is the fact that there have been long delays in identifying the contamination source in several such incidents. Even when the contamination source was identified, there have been cases where the ultimate destination of all contaminated products were not known with complete certainty due, in part, to dispersion in these supply networks. We study the recall dynamics in a three-stage Perishable Food supply network through three different visibility levels in the presence of contamination. Specifically, we consider allocation of liability among the different players in the Perishable supply network based on the accuracy with which the contamination source is identified. We illustrate the significance of finer levels of granularity both upstream and downstream as well as determine appropriate visibility levels and recall policies.
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RFID in highly Perishable Food supply chains – Remaining shelf life to supplant expiry date?
International Journal of Production Economics, 2013Co-Authors: Martin Grunow, Selwyn PiramuthuAbstract:Abstract RFID (Radio-Frequency IDentification) has been proposed as a leading technology that could help reduce wastage in Perishable Food supply chains. This is due to their cost-effective ability to reliably identify tagged items as well as gather information on their ambient conditions through appropriate sensors. We model and study the utility of sensor-enabled RFID-generated item-level information in a highly Perishable Food supply chain from several perspectives including the distributor, retailer and consumer. With specific focus on expiry date and remaining shelf-life, we develop conditions under which the incorporation of RFID could benefit distributors, retailers and consumers. We also consider RFID investment decision in a highly Perishable Food supply chain.
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ISSNIP - Internet Smart Card for Perishable Food cold supply chain
2013 IEEE Eighth International Conference on Intelligent Sensors Sensor Networks and Information Processing, 2013Co-Authors: Pascal Urien, Selwyn PiramuthuAbstract:A distinguishing characteristic of all Perishable Food products is their degradation in quality over time. The rate of degradation depends on the initial quality of the product as well as the ambient conditions they are subjected to until they reach the end of the supply chain. Clearly, a higher initial quality and relatively slow rate of degradation would result in a better quality product. While reasonable steps are taken to ensure their quality, it is rather challenging to accomplish this due to the inherent limitations in currently used technology both in warehouses as well as during transportation. A related issue is that of contamination and how tracking and tracing of Food helps control the spread of contaminated items. We propose the use of the Internet Smart Card in Perishable Food cold supply chains for tracking/tracing and also to improve the level of control of ambient conditions and thereby the quality of the Perishable item when it is sold and consumed.
Kannan Govindan - One of the best experts on this subject based on the ideXlab platform.
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on the sustainable Perishable Food supply chain network design a dairy products case to achieve sustainable development goals
Journal of Cleaner Production, 2021Co-Authors: Javid Jouzdani, Kannan GovindanAbstract:Abstract Perishable products require special handling measures that may have social and environmental impacts along with their well-known economic aspects. Therefore, the sustainability of Food supply chains has gained ground; however, the sustainability of Perishable Food supply chains, is still not a fully explored field of study. Therefore, in this research, a multi-objective mathematical programming model is developed to optimize the cost, energy consumption, and the traffic congestion associated with such supply chain operations. In this study, product lifetime uncertainty is explicitly modeled as a Weibull random variable, and Food perishability is assumed to be affected by vehicle refrigerator utilization, which is considered as a decision variable. In addition, multiple vehicle types and multiple product types are considered. A dairy supply chain case is investigated, and the interrelations and interactions of all three aspects of sustainability, also known as the three triple bottom lines (TBL) of sustainability, are studied. The results indicate that emphasizing the economic aspect, for highly Perishable products, the environmental impact of the chain may increase by 120%, and for the highly congested road networks, the social impact may rise by 51%. However, a 15% economic compromise can improve the sustainability of the supply chain network design by 150%. It is also shown that road congestion and the uncertain perishability of the products are critical factors that can, although differently, affect the operation and the design of the supply chain. This study contributes to the sustainable development goals (SDG’s) such as Zero Hunger (SDG 2); Affordable and Clean Energy (SDG 7); Decent Work and Economic Growth (SDG 8); Industry, Innovation, and Infrastructure (SDG 9); Responsible Consumption and Production (SDG 12); Climate Action (SDG 13) and Peace, Justice, and Strong Institutions (SDG 16). The results suggest that decision-makers can significantly reduce the environmental and social influences of the supply chain even without drastically compromising the economic aspect.
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Two-echelon multiple-vehicle location-routing problem with time windows for optimization of sustainable supply chain network of Perishable Food
International Journal of Production Economics, 2014Co-Authors: Kannan Govindan, Amin Jafarian, Roohollah Khodaverdi, K. DevikaAbstract:Increasing environmental, legislative, and social concerns are forcing companies to take a fresh view of the impact of supply chain operations on environment and society when designing a sustainable supply chain. A challenging task in today's Food industry is distributing high quality Perishable Foods throughout the Food supply chain. This paper proposes a multi-objective optimization model by integrating sustainability in decision-making, on distribution in a Perishable Food supply chain network (SCN). It introduces a two-echelon location-routing problem with time-windows (2E-LRPTW) for sustainable SCN design and optimizing economical and environmental objectives in a Perishable Food SCN. The goal of 2E-LRPTW is to determine the number and location facilities and to optimize the amount of products delivered to lower stages and routes at each level. It also aims to reduce costs caused by carbon footprint and greenhouse gas emissions throughout the network. The proposed method includes a novel multi-objective hybrid approach called MHPV, a hybrid of two known multi-objective algorithms: namely, multi-objective particle swarm optimization (MOPSO) and adapted multi-objective variable neighborhood search (AMOVNS). MHPV features two strategies for leader selection procedures (LSP), (i.e. Grids) and crowding distance is compared to common genetic algorithms based on metaheuristics (i.e. MOGA, NRGA and NSGA-II). Results indicate that the hybrid approach achieves better solutions compared to others, and that crowding distance method for LSP outperforms the former Grids method. © 2013 Elsevier B.V.
Shuai Yang - One of the best experts on this subject based on the ideXlab platform.
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The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control
Sustainability, 2017Co-Authors: Shuai Yang, Yujie Xiao, Yan Zheng, Yan LiuAbstract:With the intensification of global warming and the levy of energy tax, more industries are paying attention to energy saving and reduction of carbon footprint. For the Food industry, energy cost in the supply chain of Perishable Food is quite high because of cold-chain transport and storage. Therefore, the efficacies of cold chain management and inventory control are the key factors that increase the efficiency of Food supply chain and make it more ecological. This research analyzes the degradation process of Perishable Food and determines the optimal temperature of the cold chain as well as the optimal price to maximize the channel profit. We prove that there is an optimal price with a certain temperature and develop an efficient search algorithm to find the optimal temperature. We also perform sensitivity analyses to test which parameters affect the channel profit significantly. Numerical experiments are conducted to illustrate the proposed models.
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The Supply Chain Design for Perishable Food with Stochastic Demand
Sustainability, 2017Co-Authors: Shuai Yang, Yujie Xiao, Yong-hong KuoAbstract:It has been a challenging task to manage Perishable Food supply chains because of the Perishable product’s short lifetime, the possible spoilage of the product due to its deterioration nature, and the retail demand uncertainty. All of these factors can lead to a significant amount of shortage of Food items and a substantial retail loss. The recent development of tracing and tracking technologies, which facilitate effective monitoring of the inventory level and product quality continuously, can greatly improve the performance of Food supply chain and reduce spoilage waste. Motivated by this recent technological advancement, our research aims to investigate the joint decision of pricing strategy, shelf space allocation, and replenishment policy in a single-item Food supply chain setting, where our goal is to maximize the retailer’s total expected profit subject to stochastic retail demand. We prove the existence of optimality for the design of the Perishable Food supply chain. We then extend the single-item supply chain problem to a multi-item setting and propose an easy-to-implement searching algorithm to produce the optimal allocation of shelf space among these items for practical implementation. Finally, we provide numerical examples to demonstrate the effectiveness of our solution.
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The Retail Chain Design for Perishable Food: The Case of Price Strategy and Shelf Space Allocation
Sustainability, 2016Co-Authors: Yujie Xiao, Shuai YangAbstract:Managing Perishable Food in a retail store is quite difficult because of the product’s short lifetime and deterioration. Many elements, such as price, shelf space allocation, and quality, which can affect the consumption rate, should be taken into account when the Perishable Food retail chain is designed. The modern tracking technologies provide good opportunities to improve the management of the Perishable Food retail chain. In this research, we develop a mathematical model for a single-item retail chain and determine the pricing strategy, shelf space allocation, and order quantity to maximize the retailer’s total profit with the application of tracking technologies. Then the single-item retail chain is extended into a multi-item one with a shelf space capacity and a simple algorithm is developed to find the optimal allocation of shelf space among these items. Finally, numerical experiments and real-life examples are conducted to illustrate the proposed models.
Martin Grunow - One of the best experts on this subject based on the ideXlab platform.
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rfid in highly Perishable Food supply chains remaining shelf life to supplant expiry date
International Journal of Production Economics, 2013Co-Authors: Martin Grunow, Selwyn PiramuthuAbstract:Abstract RFID (Radio-Frequency IDentification) has been proposed as a leading technology that could help reduce wastage in Perishable Food supply chains. This is due to their cost-effective ability to reliably identify tagged items as well as gather information on their ambient conditions through appropriate sensors. We model and study the utility of sensor-enabled RFID-generated item-level information in a highly Perishable Food supply chain from several perspectives including the distributor, retailer and consumer. With specific focus on expiry date and remaining shelf-life, we develop conditions under which the incorporation of RFID could benefit distributors, retailers and consumers. We also consider RFID investment decision in a highly Perishable Food supply chain.
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rfid generated traceability for contaminated product recall in Perishable Food supply networks
European Journal of Operational Research, 2013Co-Authors: Selwyn Piramuthu, Poorya Farahani, Martin GrunowAbstract:Abstract As Perishable Food supply networks become more complex, incidents of contamination in these supply networks have become fairly common. Added to this complexity is the fact that there have been long delays in identifying the contamination source in several such incidents. Even when the contamination source was identified, there have been cases where the ultimate destination of all contaminated products were not known with complete certainty due, in part, to dispersion in these supply networks. We study the recall dynamics in a three-stage Perishable Food supply network through three different visibility levels in the presence of contamination. Specifically, we consider allocation of liability among the different players in the Perishable supply network based on the accuracy with which the contamination source is identified. We illustrate the significance of finer levels of granularity both upstream and downstream as well as determine appropriate visibility levels and recall policies.
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RFID in highly Perishable Food supply chains – Remaining shelf life to supplant expiry date?
International Journal of Production Economics, 2013Co-Authors: Martin Grunow, Selwyn PiramuthuAbstract:Abstract RFID (Radio-Frequency IDentification) has been proposed as a leading technology that could help reduce wastage in Perishable Food supply chains. This is due to their cost-effective ability to reliably identify tagged items as well as gather information on their ambient conditions through appropriate sensors. We model and study the utility of sensor-enabled RFID-generated item-level information in a highly Perishable Food supply chain from several perspectives including the distributor, retailer and consumer. With specific focus on expiry date and remaining shelf-life, we develop conditions under which the incorporation of RFID could benefit distributors, retailers and consumers. We also consider RFID investment decision in a highly Perishable Food supply chain.
Yujie Xiao - One of the best experts on this subject based on the ideXlab platform.
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The Green Supply Chain Design and Marketing Strategy for Perishable Food Based on Temperature Control
Sustainability, 2017Co-Authors: Shuai Yang, Yujie Xiao, Yan Zheng, Yan LiuAbstract:With the intensification of global warming and the levy of energy tax, more industries are paying attention to energy saving and reduction of carbon footprint. For the Food industry, energy cost in the supply chain of Perishable Food is quite high because of cold-chain transport and storage. Therefore, the efficacies of cold chain management and inventory control are the key factors that increase the efficiency of Food supply chain and make it more ecological. This research analyzes the degradation process of Perishable Food and determines the optimal temperature of the cold chain as well as the optimal price to maximize the channel profit. We prove that there is an optimal price with a certain temperature and develop an efficient search algorithm to find the optimal temperature. We also perform sensitivity analyses to test which parameters affect the channel profit significantly. Numerical experiments are conducted to illustrate the proposed models.
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The Supply Chain Design for Perishable Food with Stochastic Demand
Sustainability, 2017Co-Authors: Shuai Yang, Yujie Xiao, Yong-hong KuoAbstract:It has been a challenging task to manage Perishable Food supply chains because of the Perishable product’s short lifetime, the possible spoilage of the product due to its deterioration nature, and the retail demand uncertainty. All of these factors can lead to a significant amount of shortage of Food items and a substantial retail loss. The recent development of tracing and tracking technologies, which facilitate effective monitoring of the inventory level and product quality continuously, can greatly improve the performance of Food supply chain and reduce spoilage waste. Motivated by this recent technological advancement, our research aims to investigate the joint decision of pricing strategy, shelf space allocation, and replenishment policy in a single-item Food supply chain setting, where our goal is to maximize the retailer’s total expected profit subject to stochastic retail demand. We prove the existence of optimality for the design of the Perishable Food supply chain. We then extend the single-item supply chain problem to a multi-item setting and propose an easy-to-implement searching algorithm to produce the optimal allocation of shelf space among these items for practical implementation. Finally, we provide numerical examples to demonstrate the effectiveness of our solution.
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The Retail Chain Design for Perishable Food: The Case of Price Strategy and Shelf Space Allocation
Sustainability, 2016Co-Authors: Yujie Xiao, Shuai YangAbstract:Managing Perishable Food in a retail store is quite difficult because of the product’s short lifetime and deterioration. Many elements, such as price, shelf space allocation, and quality, which can affect the consumption rate, should be taken into account when the Perishable Food retail chain is designed. The modern tracking technologies provide good opportunities to improve the management of the Perishable Food retail chain. In this research, we develop a mathematical model for a single-item retail chain and determine the pricing strategy, shelf space allocation, and order quantity to maximize the retailer’s total profit with the application of tracking technologies. Then the single-item retail chain is extended into a multi-item one with a shelf space capacity and a simple algorithm is developed to find the optimal allocation of shelf space among these items. Finally, numerical experiments and real-life examples are conducted to illustrate the proposed models.