Designing a Resilient Supply Chain Network for Perishable Products with Random Disruptions

Himanshu Shrivastava; Pankaj Dutta; Mohan Krishnamoorthy; Pravin Suryawanshi

Designing a Resilient Supply Chain Network for Perishable Products with Random Disruptions

Himanshu Shrivastava
, Pankaj Dutta
, Mohan Krishnamoorthy
, Pravin Suryawanshi

Mechanical & Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

Abstract

In the literature, most mathematical models for supply chains assume that transportation links will not fail. However, in reality, transportation links are subject to various sorts of disruptions. Furthermore, in most supply chain models,there is little consideration given to the diminishing value of the product. In this paper, we have designed an integrated supply chain network for perishable products that takes into account random disruptions in transportation links. We also consider several capacitated manufacturing facilities and retail outlets and stochastic demands. This model considers both demand and process uncertainty (which is incorporated through random disruptions in the transportation link between the manufacturers and the retailers), simultaneously. The model also investigates the manufacturer’s facility locations and shipment decisions in the supply chain and minimizes the total cost of the entire supply chain. The paper discusses the model output through a numerical example and we observe that the resilient model(the model considering transportation link disruptions) and the disruption free model yields different designs. Finally, the paper provides an extensive statistical analysis of disruption uncertainties in the supply chain.

Original language	English
Title of host publication	Proceedings of the International Multi-Conference of Engineers and Computer Scientists (IMECS 2017)
Subtitle of host publication	15-17 March, 2017, Hong Kong
Editors	S. I. Ao, Oscar Castillo, Craig Douglas, David Dagan Feng, A. M. Korsunsky
Publisher	Newswood Limited
Pages	870-875
Number of pages	6
Volume	II
ISBN (Electronic)	9789881404770
Publication status	Published - Mar 2017
Event	International MultiConference of Engineers and Computer Scientists 2017 - Hong Kong, China Duration: 15 Mar 2017 → 17 Mar 2017 Conference number: 25th https://link.springer.com/book/10.1007/978-981-10-7488-2 (Proceedings)

Publication series

Name	Lecture Notes in Engineering and Computer Science
Publisher	Newswood Ltd.
ISSN (Print)	2078-0958
ISSN (Electronic)	2078-0966

Conference

Conference	International MultiConference of Engineers and Computer Scientists 2017
Abbreviated title	IMECS 2017
Country/Territory	China
City	Hong Kong
Period	15/03/17 → 17/03/17
Internet address	https://link.springer.com/book/10.1007/978-981-10-7488-2 (Proceedings)

Keywords

Integrated supply chain
Network design
Disruptions
Uncertainty analysis
Perishable products

Access to Document

http://www.iaeng.org/publication/IMECS2017/IMECS2017_pp870-875.pdf

Cite this

Shrivastava, H., Dutta, P., Krishnamoorthy, M., & Suryawanshi, P. (2017). Designing a Resilient Supply Chain Network for Perishable Products with Random Disruptions. In S. I. Ao, O. Castillo, C. Douglas, D. D. Feng, & A. M. Korsunsky (Eds.), Proceedings of the International Multi-Conference of Engineers and Computer Scientists (IMECS 2017): 15-17 March, 2017, Hong Kong (Vol. II, pp. 870-875). (Lecture Notes in Engineering and Computer Science). Newswood Limited. http://www.iaeng.org/publication/IMECS2017/IMECS2017_pp870-875.pdf

Shrivastava, Himanshu ; Dutta, Pankaj ; Krishnamoorthy, Mohan et al. / Designing a Resilient Supply Chain Network for Perishable Products with Random Disruptions. Proceedings of the International Multi-Conference of Engineers and Computer Scientists (IMECS 2017): 15-17 March, 2017, Hong Kong. editor / S. I. Ao ; Oscar Castillo ; Craig Douglas ; David Dagan Feng ; A. M. Korsunsky. Vol. II Newswood Limited, 2017. pp. 870-875 (Lecture Notes in Engineering and Computer Science).

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abstract = "In the literature, most mathematical models for supply chains assume that transportation links will not fail. However, in reality, transportation links are subject to various sorts of disruptions. Furthermore, in most supply chain models,there is little consideration given to the diminishing value of the product. In this paper, we have designed an integrated supply chain network for perishable products that takes into account random disruptions in transportation links. We also consider several capacitated manufacturing facilities and retail outlets and stochastic demands. This model considers both demand and process uncertainty (which is incorporated through random disruptions in the transportation link between the manufacturers and the retailers), simultaneously. The model also investigates the manufacturer{\textquoteright}s facility locations and shipment decisions in the supply chain and minimizes the total cost of the entire supply chain. The paper discusses the model output through a numerical example and we observe that the resilient model(the model considering transportation link disruptions) and the disruption free model yields different designs. Finally, the paper provides an extensive statistical analysis of disruption uncertainties in the supply chain.",

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Shrivastava, H, Dutta, P, Krishnamoorthy, M & Suryawanshi, P 2017, Designing a Resilient Supply Chain Network for Perishable Products with Random Disruptions. in SI Ao, O Castillo, C Douglas, DD Feng & AM Korsunsky (eds), Proceedings of the International Multi-Conference of Engineers and Computer Scientists (IMECS 2017): 15-17 March, 2017, Hong Kong. vol. II, Lecture Notes in Engineering and Computer Science, Newswood Limited, pp. 870-875, International MultiConference of Engineers and Computer Scientists 2017, Hong Kong, China, 15/03/17. <http://www.iaeng.org/publication/IMECS2017/IMECS2017_pp870-875.pdf>

Designing a Resilient Supply Chain Network for Perishable Products with Random Disruptions. / Shrivastava, Himanshu; Dutta, Pankaj; Krishnamoorthy, Mohan et al.
Proceedings of the International Multi-Conference of Engineers and Computer Scientists (IMECS 2017): 15-17 March, 2017, Hong Kong. ed. / S. I. Ao; Oscar Castillo; Craig Douglas; David Dagan Feng; A. M. Korsunsky. Vol. II Newswood Limited, 2017. p. 870-875 (Lecture Notes in Engineering and Computer Science).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AU - Krishnamoorthy, Mohan

AU - Suryawanshi, Pravin

N1 - Conference code: 25th

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N2 - In the literature, most mathematical models for supply chains assume that transportation links will not fail. However, in reality, transportation links are subject to various sorts of disruptions. Furthermore, in most supply chain models,there is little consideration given to the diminishing value of the product. In this paper, we have designed an integrated supply chain network for perishable products that takes into account random disruptions in transportation links. We also consider several capacitated manufacturing facilities and retail outlets and stochastic demands. This model considers both demand and process uncertainty (which is incorporated through random disruptions in the transportation link between the manufacturers and the retailers), simultaneously. The model also investigates the manufacturer’s facility locations and shipment decisions in the supply chain and minimizes the total cost of the entire supply chain. The paper discusses the model output through a numerical example and we observe that the resilient model(the model considering transportation link disruptions) and the disruption free model yields different designs. Finally, the paper provides an extensive statistical analysis of disruption uncertainties in the supply chain.

AB - In the literature, most mathematical models for supply chains assume that transportation links will not fail. However, in reality, transportation links are subject to various sorts of disruptions. Furthermore, in most supply chain models,there is little consideration given to the diminishing value of the product. In this paper, we have designed an integrated supply chain network for perishable products that takes into account random disruptions in transportation links. We also consider several capacitated manufacturing facilities and retail outlets and stochastic demands. This model considers both demand and process uncertainty (which is incorporated through random disruptions in the transportation link between the manufacturers and the retailers), simultaneously. The model also investigates the manufacturer’s facility locations and shipment decisions in the supply chain and minimizes the total cost of the entire supply chain. The paper discusses the model output through a numerical example and we observe that the resilient model(the model considering transportation link disruptions) and the disruption free model yields different designs. Finally, the paper provides an extensive statistical analysis of disruption uncertainties in the supply chain.

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T3 - Lecture Notes in Engineering and Computer Science

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PB - Newswood Limited

T2 - International MultiConference of Engineers and Computer Scientists 2017

Y2 - 15 March 2017 through 17 March 2017

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Shrivastava H, Dutta P, Krishnamoorthy M, Suryawanshi P. Designing a Resilient Supply Chain Network for Perishable Products with Random Disruptions. In Ao SI, Castillo O, Douglas C, Feng DD, Korsunsky AM, editors, Proceedings of the International Multi-Conference of Engineers and Computer Scientists (IMECS 2017): 15-17 March, 2017, Hong Kong. Vol. II. Newswood Limited. 2017. p. 870-875. (Lecture Notes in Engineering and Computer Science).