title = {Covering the increased liability of new launch markets},
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author = {Xinhan Xu and Xiangfeng Chen and Fu Jia and Steve Brown and Yu Gong and Yifan Xu},
journal = {International Journal of Production Economics},
title = {Supply chain finance: a systematic literature review and bibliometric analysis},
year = {2018},
issn = {0925-5273},
pages = {160--173},
volume = {204},
abstract = {Supply Chain Finance (SCF) is an effective method to lower financing costs and improve financing efficiency and effectiveness, and it has gained research momentum in recent years. This paper adopts a systematic literature review methodology combined with bibliometric, network and content analysis based on 348 papers identified from mainstream academic databases. This review provides insights not previously fully captured or evaluated by other reviews on this topic, including key authors, key journals and the prestige of the reviewed papers. Using rigorous bibliometric and visualisation tools, we identified four research clusters, including deteriorating inventory models under trade credit policy based on the EOQ/EPQ model; inventory decisions with trade credit policy under more complex situations; interaction between replenishment decisions and delay payment strategies in the supply chain and roles of financing service in the supply chain. Based on the clusters identified, we carried out a further content analysis of 112 papers, identifying research gaps and proposing seven actionable directions for future research. The findings provide a robust roadmap for further investigation in this field.},
doi = {https://doi.org/10.1016/j.ijpe.2018.08.003},
file = {:Xu2018 - Supply Chain Finance_ a Systematic Literature Review and Bibliometric Analysis.pdf:PDF},
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title = {Managing supply chain risk},
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journal = {International Journal of Physical Distribution \& Logistics Management},
title = {Supply chain finance: a literature review},
year = {2016},
publisher = {Emerald Group Publishing Limited},
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@Article{Chakuu2019,
author = {Chakuu, Sumeer and Masi, Donato and Godsell, Janet},
journal = {International Journal of Production Economics},
title = {Exploring the relationship between mechanisms, actors and instruments in supply chain finance: A systematic literature review},
year = {2019},
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volume = {216},
publisher = {Elsevier},
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journal = {International Journal of Logistics: Research and Applications},
title = {Supply chain finance: applying finance theory to supply chain management to enhance finance in supply chains},
year = {2010},
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pages = {133--142},
volume = {13},
publisher = {Taylor \& Francis},
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journal = {European Journal of Operational Research},
title = {Supply chain coordination with insurance contract},
year = {2010},
issn = {0377-2217},
number = {2},
pages = {339--345},
volume = {205},
abstract = {We propose an insurance contract under which the supplier shares the risk of overstock and understock with the retailer, improving the efficiency of the supply chain with a newsvendor-type product. We first show that the insurance contract could coordinate the supply chain, and obtain bargaining solution in the supply chain model. Then we investigate the effects of agents’ risk aversion on the supply chain model and acquire the Pareto-optimal solution through the mean–variance approach. After that, we compare the insurance contract with the revenue sharing contract, focusing particularly on their differences. Finally, extensive numerical studies are conducted, and managerial implications are proposed.},
doi = {https://doi.org/10.1016/j.ejor.2010.01.013},
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journal = {Omega},
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journal = {Production and operations management},
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journal = {International Journal of Production Research},
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journal = {Production and Operations Management},
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journal = {Journal of Operations Management},
title = {Hedging weather risk and coordinating supply chains},
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pages = {41--52},
volume = {64},
abstract = {The sales of many products can be influenced by weather conditions, positively or negatively. For the manufacturers in question, one of their entrepreneurial risks is to incur lower than expected sales because of adverse weather conditions. The variability of weather conditions is expected to continue to rise because of climate change. Manufacturers can choose to do nothing and suffer the financial consequences, or transfer the weather risk partly or wholly to others. This paper presents an approach to transfer weather risks to risk takers and reduce sales volatility using weather index-based financial instruments. In our approach, the risk of adverse weather conditions is calculated on the basis of adverse conditions observed in the past. We do not use forecasts of weather conditions. We illustrate our action design with case studies of three companies: a company manufacturing automotive replacement parts, a clothing company and a company producing of sunscreen products. We demonstrate its efficiency in reducing cash-flow uncertainty and potential losses caused by adverse weather, and in influencing sales to the next tier.},
doi = {https://doi.org/10.1016/j.jom.2018.10.002},
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journal = {Production and Operations Management},
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title = {Blockchain and other distributed ledger technologies, an advanced primer},
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volume = {66},
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journal = {Supply Chain Management: An International Journal},
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booktitle = {SpaceOps 2010 Conference Delivering on the Dream Hosted by NASA Marshall Space Flight Center and Organized by AIAA},
title = {The Emerging Role of Supply Chain Management in Commercial Space Operations},
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year = {2020},
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volume = {284},
doi = {10.1016/j.ejor.2019.12.02},
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journal = {Production and Operations Management},
title = {Production chain disruptions: Inventory, preparedness, and insurance},
year = {2018},
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journal = {Management Science},
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journal = {Production and Operations Management},
title = {Mitigating Product Quality Risk under External Financial Pressure: Inspection, Insurance, and Cash/Collateralized Loan},
year = {2022},
number = {1},
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volume = {31},
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@Article{Balcik2019,
author = {Balcik, Burcu and Silvestri, Selene and Rancourt, Marie-Ève and Laporte, Gilbert},
journal = {Production and Operations Management},
title = {Collaborative Prepositioning Network Design for Regional Disaster Response},
year = {2019},
number = {10},
pages = {2431--2455},
volume = {28},
abstract = {We present a collaborative prepositioning strategy to strengthen the disaster preparedness of the Caribbean countries, which are frequently hit by hurricanes. Since different subsets of countries are affected in each hurricane season, significant risk pooling benefits can be achieved through horizontal collaboration, which involves joint ownership of prepositioned stocks. We worked with the intergovernmental Caribbean Disaster and Emergency Management Agency to design a collaborative prepositioning network in order to improve regional response capacity. We propose a novel insurance-based method to allocate the costs incurred to establish and operate the proposed collaborative prepositioning network among the partner countries. We present a stochastic programming model, which determines the locations and amounts of relief supplies to store, as well as the investment to be made by each country such that their premium is related to the cost associated with the expected value and the standard deviation of their demand. We develop a realistic data set for the network by processing real-world data. We conduct extensive numerical analyses and present insights that support practical implementation. We show that a significant reduction in total inventory can be achieved by applying collaborative prepositioning as opposed to a decentralized policy. Our results also demonstrate that reducing the replenishment lead time during the hurricane season and improving sea connectivity are essential to increasing the benefits resulting from the network.},
title = {Dynamic Policies for Optimal LEO Satellite Launches},
year = {2004},
number = {4},
pages = {386--397},
volume = {13},
abstract = {Low-earth orbit satellite (LEO) systems continue to provide mobile communication services. The issue of cost containment in system maintenance is a critical factor for continued operation. Satellite finite life-times follow a stochastic process, and since satellite replenishment cost is the most significant on-going cost of operation, finding optimal launch policies is of paramount importance. This paper formulates the satellite launch problem as a Markovian decision model that can be solved using dynamic programming. The policy space of the system is enormous and traditional action space dominance rules do not apply. In order to solve the dynamic program for realistic problem sizes, a novel procedure for limiting the state space considered in the dynamic program is developed. The viability of the proposed solution procedure is demonstrated in example problems using realistic system data. The policies derived by the proposed solution procedure are superior to those currently considered by LEO system operators, and result in substantial annual cost savings.},
doi = {https://doi.org/10.1111/j.1937-5956.2004.tb00225.x},
