Journal articles on the topic 'Manage supply risks'
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Alvarenga, Murilo Zamboni, Marcos Paulo Valadares De Oliveira, Hélio Zanquetto Filho, and Washington Romão Dos Santos. "Do analytically-oriented supply chains better manage risks?" Journal of Operations and Supply Chain Management 11, no. 2 (November 17, 2018): 32. http://dx.doi.org/10.12660/joscmv11n2p32-45.
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Denga, Edna Mngusughun, and Sandip Rakshit. "Risks in Supply Chain Logistics." International Journal of Risk and Contingency Management 11, no. 1 (January 2022): 1–18. http://dx.doi.org/10.4018/ijrcm.295957.
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Market vulnerability, uncertainty, and risk have always posed challenges to businesses and supply chains. Firms are working hard to survive and sustain themselves in a world of high susceptibility in supply chain networks and intense competition. This study attempts to fill a gap in the literature by looking into how companies in a developing country like Nigeria manage supply chain logistics challenges and capitalize on opportunities in the country's most crisis-prone territory while mitigating the constraints. This was conducted through empirical investigation within the Nigerian supply chain logistics setting to analyze and compare the challenges, tactics, and strategies adopted by two enterprises situated in the North-Eastern region of Nigeria, where the insurgency is rampant. The findings from the analyzed examples serve as the foundation for the analysis. The respondents' answers to the research questions offer more insight into the various constraints and tactics firms employ in the region.
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Narulidea, Winda, and Sekarsari Utami Wijaya. "MODELING SUPPLY CONTRACTS TO MANAGE OUTSOURCING RISKS OF LOGISTICS' ACTIVITIES." Journal of Engineering and Management in Industrial System 6, no. 2 (December 31, 2018): 114–21. http://dx.doi.org/10.21776/ub.jemis.2018.006.02.6.
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Galuchi, Tharic Pires Dias, Fabricio Pini Rosales, and Mario Otavio Batalha. "Management of socioenvironmental factors of reputational risk in the beef supply chain in the Brazilian Amazon region." International Food and Agribusiness Management Review 22, no. 2 (March 13, 2019): 155–71. http://dx.doi.org/10.22434/ifamr2018.0004.
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Increased production of Brazilian beef has been associated with negative impacts in the Amazon region. Supply chain interventions are increasingly common to avoid social and environmental consequences in the area, but evidence about how companies have managed these efforts is scarce. The present study identified the main sources of reputational risks in Brazilian Amazon beef supply chains and the actions taken by slaughterhouses to manage these types of risk. A multiple case study was developed in Brazilian beef supply chains that have suffered consequences to their operations from consecutive actions of stakeholders that link meat production with deforestation and the worst practices of production in the Amazon region. Public agreements with stakeholders and the development of supplier management were used to identify reputational risks. The present study also describes the types of risk and how they are mitigated. Based on the results, the authors propose a set of risk management practices in the supply chains to manage risks through stakeholder engagement, use of government open data sources, and sharing information with direct suppliers.
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Luo, Jiarong, Xiaolin Zhang, and Chong Wang. "Using put option contracts in supply chains to manage demand and supply uncertainty." Industrial Management & Data Systems 118, no. 7 (August 13, 2018): 1477–97. http://dx.doi.org/10.1108/imds-09-2017-0393.
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Purpose The purpose of this paper is to value put option contracts in hedging the risks in a supply chain consisting of a component supplier with random yield and a manufacturer facing stochastic demand for end products. Design/methodology/approach This paper adopts stochastic inventory theory, game theory, optimization theory and algorithm and MATLAB numerical simulation to investigate the manufacturer’s ordering and the supplier’s production strategies, and to study the coordination and optimization strategies in the context of random yield and demand. Findings The authors find that put options can not only facilitate the manufacturer’s order but also the supplier’s production, that is, the manufacturer and the supplier can effectively manage their involved risks and earn more expected profits by adopting put options. Further, the authors find that the single put option contract fails to coordinate such a supply chain. However, when combined with a protocol, it is able to coordinate the supply chain. Originality/value This paper is the first effort to study the intersection of put option contracts and random yield in the presence of a spot market. From a new perspective, the authors explore the supply chain coordination. The authors propose a mechanism to coordinate the supply chain under put option contracts.
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Gia, Tho Nguyen, My Mai Bac, and Vien Le Van. "Risk management and logistical performance: A case of the fishery supply chain north central coast of Vietnam." Uncertain Supply Chain Management 9, no. 3 (2021): 739–44. http://dx.doi.org/10.5267/j.uscm.2021.4.004.
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In any given supply chain, risks can occur, and it can reduce the performance of an entire production line. To maintain a competitive advantage, manufacturers should anticipate and manage risks. This paper aims to assess the impact of risks associated with the fishery supply chain on logistics performance. The research was conducted with 297 seafood producers on the North Central Coast of Vietnam. The study results show that risk factors such as supply risks, market risks, operational risks, environmental risks, and financial risks have a direct impact on the logistical performance of firms in the fishery supply chain. The study also proposes solutions to limit risks for businesses.
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Ouabouch, Lhoussaine, and Gilles Pache. "Risk Management In The Supply Chain: Characterization And Empirical Analysis." Journal of Applied Business Research (JABR) 30, no. 2 (February 27, 2014): 329. http://dx.doi.org/10.19030/jabr.v30i2.8401.
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Along any supply chain, a multitude of more or less critical incidents may prevent a company from obtaining the expected level of logistical performance. Knowing how to anticipate and manage supply chain risks is therefore an important approach to maintain a competitive advantage. The target of this article is to evaluate the impact of the risks in relation to the functioning of a supply chain on its logistical performance. For such needs, a survey was administered with 158 Moroccan manufacturers. The data collected allows to successively measure the impacts of the risks linked to the management of the upstream supply chain, of operational risks and risks linked to the management of the downstream supply chain on the logistical performance.
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Yoga Irsyadillah, N., and S. Dadang. "A LITERATURE REVIEW OF SUPPLY CHAIN RISK MANAGEMENT IN AUTOMOTIVE INDUSTRY." Journal of Modern Manufacturing Systems and Technology 4, no. 2 (September 30, 2020): 12–22. http://dx.doi.org/10.15282/jmmst.v4i2.5020.
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Supply chain risk management (SCRM) has a strong influence on the cooperation among partners and the performance of the entire production chain across the world. A supply chain designed to minimize risks enables firms to establish a competitive position and provides long-term benefits to stakeholders. Especially in a complicated and slow-growing industry like Automotive Industry. The auto industry's most important segments including commercial vehicles and passenger cars. Global sales of passenger cars are forecast to fall to 59.5 million units in 2020, down from a peak of 79.6 in 2017. The SCRM system should be structured to manage both routine and extraordinary risks, such as economical crisis, global pandemic issues, or even other unexpected event. The risks should be managed both reactively, by monitoring changes in the chain, the needs of customers, technology and the strategies of suppliers and competitors, among others, to enable quick reaction to events; and proactively, to identify risks and implement actions to prevent them or minimize their impacts. The basic risk management process consists of identifying, evaluating, mitigating and controlling risks. The objective of this paper is to analyze how SCRM could manages the risk factors in Automotive Industry’s supply chain in three different segmentation perspective. To achieve this aim, we performed a qualitative, applied and exploratory field study of the development trend of automotive Industry across the world, Asia, and Indonesia in terms of gaining more insight about the latest development trend of SCRM implementation in various segmentation. The data were collected by doing literature review from previous published research related to SCRM in Automotive Industry.
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Erwan, Friesca, Prima Denny Sentia, Zaty Fadhilla, Didi Asmadi, Raihan Dara Lufika, and Rizki Agam Syahputra. "Supply Chain Risk Management Design for U-Hansa Product in Relation to Covid-19 Pandemics." Operations Excellence: Journal of Applied Industrial Engineering 14, no. 2 (September 1, 2022): 200. http://dx.doi.org/10.22441/oe.2021.v13.i2.057.
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The recent Covid-19 pandemics situation has brought a lot of discussion on how to manage a supply chain in uncertainty since the dynamic of pandemics risk has altered the way a supply chain is organized. This research aims to identify, asses and manage the possible risks on supply chain that may occur in relation to production process of U-Hansa (USK Hand Sanitizer) following a high demand of hand sanitizer during the pandemics. This research performed risk breakdown structure to identify risks, evaluated the risks using risk matrix 5x5 (MIL-STD-882B) and create risk mapping using the big picture approach. This research revealed that there are 15 risks involved in U-Hansa production process that can potentially disrupt the whole supply chain process of U-Hansa. Factors such as raw material shortage during the Covid-19 lockdown, insufficient production capacity and the limitation of machinery and equipment to support the production contributes to the noticeable risk potential in the overall U-Hansa supply chain network. The overall findings of this research are expected to help the decision-making process that can be utilized in the post-Covid-19 pandemics setting.
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Shahbaz, Muhammad Saeed, Raja Zuraidah RM Rasi, and MD Fauzi Bin Ahmad. "A novel classification of supply chain risks: Scale development and validation." Journal of Industrial Engineering and Management 12, no. 1 (April 1, 2019): 201. http://dx.doi.org/10.3926/jiem.2792.
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Purpose: Supply chain has become an essential element for any organization but risks are the major obstacles in achieving the performance even it can disrupt not only the organization but a whole system. Thus it is compulsory to manage the risks efficiently and effectively. Risk cannot be managed until properly identified, there are numerous studies on risk identification, after comprehensive literature, it has been revealed that the study that identifies overall supply chain risk is scaring. The manufacturing sector of any country is considered as the backbone of any economy, in Malaysia it is the second largest sector in economic contribution and highest in productivity level. The aim of this study is to provide a reliable tool to assess the overall supply chain risks of Malaysian manufacturing through a systematic process.Design/methodology/approach: A detail literature review has been done for categorization of overall supply chain risk sources. Then an instrument has been developed from a pool of items. The questionnaire was purified through pretesting, pilot testing (by the exploratory view) and reliability and validity tests. The data were collected by email from Federation of Malaysian Malaysia (FMM-2017) through systemic probability sampling. Total 132 final responses have been considered for exploratory factor analysis through SPSS 23.Findings: The finding of this study revealed that overall supply chain risks can be categories into seven constructs that are supply side risks, process side risks, demand side risks, logistic side risks, collaboration side risks and environment side risks and the final questionnaire is consisting of 57 items.Research limitations/implications: This study covered tier 1 members of the supply chain. Secondly, the supply chain of manufacturing organizations only has been considered.Practical implications: This study will help the managers to understand what kind of risk sources they can face and which type of risks under these risk sources they should consider while decision making.Originality/value: This article will justify the need for Malaysian manufacturing by providing a validated and reliable instrument for the identification and assessment of their risks under major supply chain risk sources.
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BOONYANUSITH, Wijai, and Phongchai JITTAMAI. "Blood Supply Chain Risk Management using House of Risk Model." Walailak Journal of Science and Technology (WJST) 16, no. 8 (January 14, 2018): 573–91. http://dx.doi.org/10.48048/wjst.2019.3472.
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Managing blood supply chain has been an important task in the healthcare system because it has to confront not only blood demand and supply uncertainties but also complexities in blood inventory management. In order to overcome these challenges, it is essential to explore the possible risks that could occur in the blood supply chain and discover proper ways to manage these risks. Therefore, this research aims to investigate risks in blood supply chain by using a proactive risk management tool called ‘house of risk’ (HOR) model, in order to conduct risk assessment and evaluate risk management actions. A case study of blood supply chain risk management was analyzed, and the HOR model was incorporated to appraise the appropriate actions in the real situation. The results indicate that there are 30 risk events and 16 risk agents identified and assessed in the case study. The outcomes point out that lack of collaboration, insufficient information for decision-making, and limited information sharing are the top 3 risk agents that contribute to significant impact on blood supply chain management. Risk mitigation and management actions were evaluated and the results show that enhancing the collaboration is the most proactive action to manage risks in the blood service operations, followed by information sharing, and demand and supply statistical analysis. The study has recommended the outlines for improving collaboration between blood service organizations by using information system and technology to mitigate risks, complexities, as well as uncertainties in managing demand and supply in the blood supply chain.
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Bourquard, Brian A., and Allan W. Gray. "King’s Hawaiian: managing the supply of aloha spirit for every household, every day." International Food and Agribusiness Management Review 21, no. 5 (June 15, 2018): 609–26. http://dx.doi.org/10.22434/ifamr2017.0023.
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King’s Hawaiian has been family owned for more than six decades, and the ‘aloha spirit’ runs deep. But, rapid growth in recent years has exposed serious challenges. From production inefficiencies to supply chain disruptions, management recognizes the need to rapidly evolve their family business to a professionally managed one. Their relationship-based supply chain worked for a family firm, but will this approach continue to work as they expand rapidly? A disruption in their egg supply exposed the firm to risks they never anticipated. Now, they are rethinking their entire supply chain, including their most important raw material: flour. How can they strategically manage their raw material needs while sustaining double-digit growth? How do they identify and mitigate risks in their chain? King’s Hawaiian knows its success is in its supply chain, including their unique delivery model. Getting this right is critical to their mission: to deliver their aloha spirit to every household, every day.
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Kumar Pradhan, Sudeep, and Srikanta Routroy. "Analyzing the supply chain risk issues for an Indian manufacturing company." Journal of Advances in Management Research 11, no. 2 (July 29, 2014): 144–62. http://dx.doi.org/10.1108/jamr-11-2012-0047.
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Purpose – The purpose of this paper is to identify, analyze, assess and manage the risks issues involved in an Indian manufacturing supply chain. The paper also shows the direction to use the proposed comprehensive risk management framework in different manufacturing supply chain. Design/methodology/approach – The various risks for an Indian manufacturing company are identified through brainstorming session held with managers and engineers. The risks are categorized (i.e. delivery performance; process capability; demand and supply fluctuation at supplier end; rework; and business practices) and the domain (i.e. supplier, manufacturer and customer) of each risk is also identified for further analysis. A Failure Mode and Effect Analysis is used to rank the impact of all the relevant risks associated with various risk categories and the action plans are suggested by proposing a risk treatment process. Findings – The degree of impact of each relevant risk is determined and is used for deriving managerial insights. Through Pareto analysis, it is concluded that top 20 percent risk factors are coming from supplier and organization domain. It is interesting to note that no relevant risk related to customer domain is appearing in top 20 percent. It is also found that 54 percent risk is coming from supplier-related risk domain and 46 percent risk exists in the organization-related risk domain among top 20 percent risk. Research limitations/implications – This study is restricted to only one Indian manufacturing company. Therefore, the outcomes of the study should not be generalized. Further studies may be carried out for several Indian manufacturing industries to get more generalized impact of risks, its validity and their variation across the different manufacturing companies. Practical implications – The simplicity and clarity of the proposed framework provides step-by-step approach for identifying, categorizing and managing risks involved in the supply chain. It also provides the guidelines for a manager to benchmark and update risk handling in a specific manufacturing environment with its own priority considerations. Originality/value – Although many literatures are available related to supply chain risk management, the proposed approach provides a better practical generic platform to understand, manage, reduce and mitigate the risks involved along the manufacturing supply chain.
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Kim, Jong Hoon. "Effect of Supply Chain Capabilities on Supply Chain Risk Management and Supply Chain Performance." Academic Society of Global Business Administration 19, no. 3 (June 30, 2022): 165–84. http://dx.doi.org/10.38115/asgba.2022.19.3.165.
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This study is to find ways to manage the supply chain in a crisis situation where the supply chain is cut off or collapsed due to the increase in supply chain complexity and infectious diseases such as COVID-19. To this end, it has been expanded to include supply chain risk management in the existing supply chain competence perspective(three elements). In detail, the supply chain capability (agility and robustness) that can evaluate the level of supply chain risk management was proposed as a lagging factor of supply chain competence, and supply chain capability was proposed as a leading factor in supply chain performance and supply chain risk management performance. As a result of the analysis, supply chain competence had a significant positive effect on supply chain capability, and supply chain capability had a significant positive impact on supply chain performance as well as supply chain risk management performance. This study suggested the need to develop supply chain competence to manage supply chain risks. In addition, it is significant in that it confirmed that supply chain risk management can improve not only performance in crisis situations, but also overall performance of the supply chain.
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Schumacher, Roman, Rob Glew, Naoum Tsolakis, and Mukesh Kumar. "Strategies to manage product recalls in the COVID-19 pandemic: an exploratory case study of PPE supply chains." Continuity & Resilience Review 3, no. 1 (February 3, 2021): 64–78. http://dx.doi.org/10.1108/crr-07-2020-0024.
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PurposeThe purpose of this paper is to investigate strategies to manage product recalls where shortages are a critical threat, with impacts such as loss of life. The authors aim to identify key supply chain strategies and opportunities for theoretical advancement by taking a resilience perspective on temporary supply chain design.Design/methodology/approachFirst, the authors conducted an impact event analysis of product recalls by exploring the RAPEX database and official statements of individual country regulators. Second, the authors conducted an exploratory case study with the Cambridge University Hospitals on Personal Protective Equipment to explore product recall risks, utilising an action research methodology.FindingsAdditional processes, mainly testing, can compensate for the risks that may arise from temporary supply chains, where changes in location and product design are not possible due to the immediate nature of demand caused by COVID-19 pandemic. This finding reflects on the resilience of designing and implementing temporary supply chains from the perspective of product, process and location.Research limitations/implicationsThis paper does not employ an in-depth multiple case study methodology. However, the authors argue that the role of institutional actors in global supply chains and its implications on product safety needs to be empirically studied in order to expand existing supply chain management theories to cover resilience in emerging, mature and temporary supply chain.Practical implicationsManagers can learn from the Cambridge University Hospitals case study that a downstream quality inspection system can be deployed to manage product quality and safety risks where recalls are not an option, such as during critical situations in the COVID-19 pandemic.Social implicationsThe authors’ observations suggest that governments may be socially responsible for implementing rigorous mechanisms to manage product recall risks that compromise consumer safety.Originality/valueThe authors’ study is uniquely designed and studies various specific phenomena of product recalls risks in COVID-19. The unique design features include a dynamic and recent database analysis involving a product, process and location centric perspective complemented with a Cambridge University Hospitals case study.
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Fedorova, Elena, Kirsi Aaltonen, and Eva Pongrácz. "Social Sustainability Dilemma: Escape or Communicate? Managing Social Risks Upstream of the Bioenergy Supply Chain." Resources 9, no. 1 (January 15, 2020): 7. http://dx.doi.org/10.3390/resources9010007.
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Supply chain risk management has been well researched over the years. However, management of social risks in bioenergy supply chains has been studied less in contemporary research. The ability of bioenergy companies to identify, properly address, and communicate social sustainability has become crucial for many global producers. In order to meet current EU’s energy and climate targets, the development of sustainable bioenergy production is vital. However, over last decade, research of bioenergy production supply chains has indicated that upstream areas of global bioenergy production systems are vulnerable in terms of social sustainability risks. The main objective of this research was to demonstrate how the socially sustainable supply chain practices in bioenergy supply chains can help a production company manage social risks and resources-use related conflicts upstream of the supply chain. These practices can be applied in the process of negotiation between bioenergy producers, local authorities, and communities for creating win-win situations for all parties while planning new bioenergy production systems. This study pays special attention to social sustainability risks at the upstream of the supply chain in countries of raw material origin. Use of social sustainability practices intends to help identify, assess, and address social risks of supply chain activities for bioenergy companies. Moreover, such practices aim at supporting companies and their stakeholders in making right choices and preparing effective strategies ahead of time. We based our research on empirical evidence and offer solutions to multi-national bioenergy production companies on how to manage social risks, allowing them to make the right decisions and necessary adjustments before entering potential markets. Our findings show that even avoidance of market entrance can carry sustainability-related social risks for both the company and the local communities. We suggest that although the financial element plays an important role in decision-making, the no-go decision often means missed opportunities for local communities to improve their respective sustainability states.
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Ghosh, Somik, and Mustafa Hamad. "A model for measuring distruption risk in the prefabrication supply chain." International Journal of Construction Supply Chain Management 11, no. 2 (December 31, 2021): 69–88. http://dx.doi.org/10.14424/ijcscm110221-69-88.
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Use of prefabrication in construction projects is increasing due to the benefits in cost, time, quality, and safety. However, utilizing prefabrication introduces uncertainties inherent with the supply chain of the process. These uncertainties, if not managed, can disrupt the prefabrication process and result in schedule delays and cost overruns. This study proposes a model to measure disruption risks in the prefabrication process. The model was used in measuring the disruption risks of prefabrication of headwalls in patients’ rooms for a healthcare project as a pilot study. The risk model could successfully identify the disruption risks originating anywhere in the supply chain based on input information such as required material quantity, batch sizes of material deliveries, production rates, and batch sizes of transporting the headwall units. Using the model, the project team identified two uncertainties that could lead to possible disruptions: the start of the prefabrication processes and the required production rate to meet the on-site schedule. This is a first step to developing a risk exposure model that can prove valuable to the risk managers to analyse and manage the impact of disruptions. This will help the risk managers in making informed decisions about where to focus their limited resources.
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Wang, Jin Feng, Rong Zhu, and Yan Jiang. "Interruptible Load Risk Analysis Based on Portfolio Theory." Advanced Materials Research 732-733 (August 2013): 1427–31. http://dx.doi.org/10.4028/www.scientific.net/amr.732-733.1427.
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Due to the uncertain price and stochastic load, power supply companies will face the trade-off between profits and risks when exercising Interruptible Load Management (ILM). Customers of different type are looked as sub-markets with different risk and benefit. A model is established for Interruptible Load (IL) in the framework of portfolio theory, with the object of maximizing the expected profits and risks of conditional value at risk (CVaR). Genetic Algorithm (GA), is adopted to solve the model. Finally, a numerical example is served for demonstrating the market property of high profits accompanied by high risks and the feasibility of the proposed model, thus a reference is provided to a power supply company to manage risks.
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Truong, Huy Quang, and Yoshinori Hara. "Supply chain risk management: manufacturing- and service-oriented firms." Journal of Manufacturing Technology Management 29, no. 2 (January 22, 2018): 218–39. http://dx.doi.org/10.1108/jmtm-07-2017-0145.
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Purpose A risk, when it occurs, causes negative effects on outputs. Typically, risks are not independent as multiple risks occur simultaneously. The purpose of this paper is to compare the impact various risks have on the performance of manufacturing-oriented and service-oriented firms from a supply chain (SC) perspective. Design/methodology/approach First, SC risks were identified and classified into two criteria: context and probability. Then, the different characteristics between manufacturing- and service-oriented firms were distinguished by the theory of goods-dominant logic (GDL) and service-dominant logic (SDL). Structural equations modeling and multiple-group analysis were then used to validate research hypotheses and compare the two groups. Findings The empirical evidence, gathered from the Vietnamese construction sector, indicated that in a serious situation all of the five risks proposed occur at the same time, thus the remarkable 87.1% variance in SC performance was explained. Furthermore, this rate is significant when the two groups are compared: manufacturing-oriented firms (88.3 percent) and service-oriented firms (85.6 percent), implying that risks in the manufacturing-oriented group have a greater effect on SC performance. While manufacturing-oriented companies should pay close attention to the operational and demand risks that adversely affect SC performance, they should treat information risk as an opportunity to improve. Service-oriented companies, however, need to manage supply risk which, in their case, can be attributed to a 51.2 percent variance in SC performance. Moreover, service quality can also be improved remarkably if information risk is well managed. Research limitations/implications This study provides a detailed picture of the relationship between risks and performance in the SC. Risks are illustrated as affecting the SC performance simultaneously, (not separately) and so the approach outlined here will give firms a comprehensive view of their SCs and provide guidelines for predicting the impact risks will have on the SC performance. Moreover, by comparing manufacturing- and service-oriented firms, a thorough overview of risk behaviors is provided and appropriate solutions for each type of company can be determined. Originality/value The “novelty of approach” of this study is in applying GDL and SDL theory to classify the manufacturing-oriented and service-oriented firms. The different characteristics between the two groups are identified and explained in terms of resources, value, network, effectiveness vs efficiency and communication, thus providing an insight into risk management activities in the SC network.
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Vishnubhotla, Anil Kumar, Rupesh Kumar Pati, and Sidhartha S. Padhi. "Can Projects on Blockchain Reduce Risks in Supply Chain Management?: An Oil Company Case Study." IIM Kozhikode Society & Management Review 9, no. 2 (June 14, 2020): 189–201. http://dx.doi.org/10.1177/2277975220913370.
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Increase in competition and the strategic move of enhanced outsourcing has made supply chain more complex. Various applications and software solutions are available to better manage this complexity. It has been observed that often such initiatives may not provide the excepted benefits. It has also been reported that an unclear understanding of business needs (including perceived risks) is the main reason of supply chain failure. The present study attempts to capture enterprise level supply chain risk in an oil company (case company) in India and explore if perception of a decision maker favours use of blockchain technology project to reduce the supply chain risk. The study adopts the following methodology: in-depth semi-structured interviews and structured survey was carried out with the top management of the case company to identify various enterprise level risks for supply chain management (SCM) projects which were subsequently clustered under Operations, Finance, Human Resources, and Strategic Business Risk categories. Inputs on the probability of occurrence and impacts of the identified risks on the enterprise-wide supply chain was mapped on the risk severity matrix (heat map) to prioritize the risks. Subsequently, the second round of questionnaire was developed and a similar survey carried out again with the same sample show the change in risk perception due to potential application of blockchain technology. Interesting insights could be gained from the practitioner’s perspective on the value contribution of using blockchain for improving management of SCM risks. It could be observed that a number of the high priority risk (in the initial scenario) could now be eliminated or managed due to specific characteristics of blockchain.. One of the major limitations of the present study is the lack of generalizability of the insights as it is based exclusively on the perspective of the case company towards the blockchain.
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Barykin, Sergey Yevgenievich, Andrey Aleksandrovich Bochkarev, Olga Vladimirovna Kalinina, and Vladimir Konstantinovich Yadykin. "Concept for a Supply Chain Digital Twin." International Journal of Mathematical, Engineering and Management Sciences 5, no. 6 (December 1, 2020): 1498–515. http://dx.doi.org/10.33889/ijmems.2020.5.6.111.
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There is currently a discussion going on in the scientific community about using digital twins and modeling to manage risks in the supply chains. This need for constructing digital twins is caused by the low reliability and stability of supply chains due to the faults in their operation. These faults are a result of risks in the supply chains which can be consolidated into two types. The first type is operational risks. These are the current risks of the supply chain itself caused by an uncer-tainty of supply and demand as well as by an obstructed flow of information along the supply chain. The second type is critical risks caused by force majeure. These risks disrupt the normal operation of the supply chain and critically reduce the most important performance indicators of the company such as annual income and profits. Risks happen due to natural or man-made causes such as fires and floods in the distribution centers or at production facilities, legal disputes with sup-pliers, strikes, terrorist attacks on logistics facilities and others. Dynamic simulation and analytical optimization are two dominant technologies for managing risks of the supply chains, which helps to increase their reliability and stability if failures occur. Through optimizing and simulating of the supply chains, companies can generate new information about the impact of failure and influence the supply chain and its performance by looking at various scenarios that simulate the locations of failures, the duration and recovery policies. An analysis of the literary sources shows that there is no single approach to build the concept for a supply chain digital twin. This article gives an overview of the literature according to this problem and offers the author's point of view on the concept for a supply chain digital twin.
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Nyamah, Edmond Yeboah, Yuansheng Jiang, Yi Feng, and Evelyn Enchill. "Agri-food supply chain performance: an empirical impact of risk." Management Decision 55, no. 5 (June 19, 2017): 872–91. http://dx.doi.org/10.1108/md-01-2016-0049.
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Purpose The purpose of this paper is to examine the key risk components (probability and consequence) and their respective thresholds affecting agri-food supply chain operations in Ghana. In addition, it seeks to understand the relationship between the major risk sources and to fathom the risk/disruption impact on agri-food supply chain performance in Ghana. Design/methodology/approach Cross-sectional survey data were collected using a structured questionnaire. The risks threshold associated with agri-food supply chain were categorized using the risk matrix scale and classification described in the Project Management Body of Knowledge (Project Management Institute, 2013). Next, the Pearson correlation was used to understand the relationship between the various risks and agri-food chain performance. Lastly, to investigate how firms’ supply chain operations have been affected by risks/disruptions, an ordinary least square regression model was employed to quantify the impact of some major risk sources on agri-food chain performance in Ghana. Findings The results in this paper show variations in risks’ probability, impact and threshold in agri-food supply chain. While risk sources such as periodic change in interest/exchange rate policies and volatility in customer demand are high-rated risks, uncertain land policies/tenure and poor quality control are low rated risks in the operations of the chain. The performance of the agri-food chain significantly but negatively correlates with all the major risks studied. Whereas demand, supply, weather, logistics/infrastructure and financial risk sources significantly undermined the chain’s performance, risks emerging from biological/environmental, management/operational, policy/regulations and political-related issues insignificantly affect the performance of agri-food supply chain in Ghana. Research limitations/implications This research is an area biased. However, some insightful managerial implications can be drawn from this paper to manage agri-food chain operations in a similar unstable environment. The result implies that risks are inevitable in agri-food chain but they differ in terms of menace to the chain’s operation. Therefore, to manage agri-food supply chain risks effectively, managers should periodically identify, quantify and categorize risk sources before making risk response decisions. In addition, the results show that risks account for about half of the overall agri-food chain performance in Ghana. This infers that managers/practitioners could improve the performance of the agri-food chain if limited resources are allocated to plan and effectively respond to major risks sources (such as demand, supply, finance, weather and logistical/ infrastructural services-related risks) undermining the performance of the chain. Originality/value This research contributes to the agri-food chain risk literature and provides managers/practitioners with empirical evidence of risk thresholds and their corresponding major impact on agri-food chain’s performance. Since risks explained about half of agri-food chain performance in Ghana, this research would prompt decision makers to improve on their risk assessment and responds (e.g. by employing efficient demand, supply and weather forecasting systems, logistic/infrastructure services, hedge to finance, etc.) to improve the chain’s performance.
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Villena, Veronica H., Guanyi Lu, Luis R. Gomez-Mejia, and Elena Revilla. "Is top management team-supply chain manager interaction the missing link? An analysis of risk-bearing antecedents for supply chain managers." International Journal of Operations & Production Management 38, no. 8 (August 6, 2018): 1640–63. http://dx.doi.org/10.1108/ijopm-05-2017-0258.
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Purpose Supply chain managers (SC managers) may make less than optimal decisions for the firm when facing compensation and employment risks. The purpose of this paper is to study two relevant factors (target setting and strategic importance of the supply chain function) that may drive SC managers to perceive more or less risk to their welfare. Design/methodology/approach The study combines survey data from 133 firms with secondary data in order to reduce source bias and enhance the validity of results. The authors also conducted interviews with supply chain and human resources managers. Findings The results show that top managers can alter SC managers’ perceived risks. Ambitious targets drive compensation risk but not employment risk. The supply chain function’s strategic importance, on the other hand, decreases employment risk but increases compensation risk. Research limitations/implications The authors emphasize two ways that the top management team (TMT) influences SC managers’ perceived personal welfare but acknowledge that there may be others factors. Due to the topic sensitivity, the authors could not collect data on all variables (e.g. individual characteristics) that may affect risk perception. The findings are based on Spanish firms and may not be generalized to other contexts. Practical implications This research proposes three suggestions. First, compensation and employment risks should be considered separately when designing compensation and evaluation systems. Second, appropriate performance targets may put compensation risk in a reasonable range that is neither too high to prevent risky-yet-beneficial decisions nor too low to allow nonfeasance. Third, escalating the supply chain’s strategic importance effectively offsets employment risk. Originality/value Scholars have repeatedly shown the negative outcomes of SC managers’ perceived compensation and employment risks. Yet, little attention has been given to their antecedents. The study explores two relevant antecedents and provides integrative empirical evidence regarding actions top leaders can take to manage SC managers’ perceived risk and subsequently enhance firm performance.
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van Strien, Jeroen, Cees Johannes Gelderman, and Janjaap Semeijn. "Performance-based contracting in military supply chains and the willingness to bear risks." Journal of Defense Analytics and Logistics 3, no. 1 (June 20, 2019): 83–107. http://dx.doi.org/10.1108/jdal-10-2017-0021.
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Purpose Performance-based contracting (PBC) plays an increasingly important role in the defense industry. This paper aims to investigate factors that influence service provider’s willingness to accept PBC-induced risks. It also shows how these risks could be managed in a military service supply chain. Design/methodology/approach The case study focused on the relationship between a service provider and a customer that acted on behalf of other users in the defense sector. The contract involved the sustainment of a military engine in a complex supply chain. Findings The service provider’s performance attributability appeared to have a strong impact on its willingness to take PBC-induced risks. For the parts where the service provider did not have full control over the service performance, exclusions and Service Level Agreements (SLAs) were used to manage and mitigate the risks associated with uncontrolled performance. The service provider’s willingness to accept PBC-induced risks was also affected by its ability to make accurate forecasts, the applied growth path and the length of the contract. Research limitations/implications This case has specific characteristics, unique by time (maturity of the technical system and supply chain) and place (market). It is recommended that results are tested in other research settings. Practical implications Organizations should be aware of the factors that influence a service provider’s willingness to bear PBC-induced risks. Customers should limit PBC to those parts of a contract where risks are of an acceptable level. Also, it is recommended to follow a phased growth path when it is not possible to make accurate forecasts in a PBC context. Originality/value This study is the first to address critical issues concerning the identification and management of risks under PBC in the defense industry.
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Risonarta, Victor Yuardi, and Arie Cahya Kamila. "SUPPLY CHAIN RISK ANALYSIS AND ASSESSMENT USING ANALYTICAL HIERARCHY PROCESS (AHP): A REVIEW." Jurnal Rekayasa Mesin 13, no. 3 (December 31, 2022): 875–86. http://dx.doi.org/10.21776/jrm.v13i3.1241.
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In these days, increasing consumer demand uncertainties, e.g. due to war in Europe, severe drought in west Europe or Covid pandemic, increase challenge in supply chain operation. Uncertainty and unreliable events interfere supply chain’s operations and strategies. As a result, increasing risks in supply chain becomes vulnerable and leads to undesired circumstance. A systematic approach is therefeore required to manage the risks. Of many methods, supply chain risk management (SCRM), as a part of supply chain management (SCM), is offered in this paper to address this challenge. The SCRM increases supply chain resilience agains many uncertainties. An important key of SCRM is risk assessment as risk-impact ordering method which can deliver solution with the lowest risks. Of many methods applied for risk assessment, analytic hierarchy process (AHP) provides several advantages, e.g. it can be used as multi-criteria decision making, it can be used with high flexibility and it can be used as subjective assessment. This paper discusses the AHP method in supply chain risk assessment as well as offers a new AHP structure applied for risk analysis.
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Brockmann, Nils, Edward Elson Kosasih, and Alexandra Brintrup. "Supply Chain Link Prediction on Uncertain Knowledge Graph." ACM SIGKDD Explorations Newsletter 24, no. 2 (November 29, 2022): 124–30. http://dx.doi.org/10.1145/3575637.3575655.
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With manufacturing companies outsourcing to each other, multi-echelon supply chain networks emerge in which risks can propagate over multiple entities. Considerable structural and organizational barriers hamper obtaining the supply chain visibility that would be required for a company to monitor and mitigate these risks. Our work proposes to combine the automated extraction of supply chain relations from web data using NLP with augmenting the results using link prediction. For this, the first graph neural network based approach to model uncertainty in supply chain knowledge graph reasoning is shown. We illustrate our approach on a novel dataset and manage to improve the state-of-the-art performance by 60% in uncertainty link prediction. Generated confidence scores support real-world decision-making.
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Liang, Di, Ran Bhamra, Zhongyi Liu, and Yucheng Pan. "Risk Propagation and Supply Chain Health Control Based on the SIR Epidemic Model." Mathematics 10, no. 16 (August 20, 2022): 3008. http://dx.doi.org/10.3390/math10163008.
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Risk propagation is occurring as an exceptional challenge to supply chain management. Identifying which supplier has the greater possibility of interruptions is pivotal for managing the occurrence of these risks, which have a significant impact on the supply chain. Identifying and predicting how these risks propagate and understanding how these risks dynamically diffuse if control strategies are installed can help to better manage supply chain risks. Drawing on the complex systems and epidemiological literature, we research the impact of the global supply network structure on risk propagation and supply network health. The SIR model is used to dynamically identify and predict the risk status of the supply chain risk at different times. The results show that there is a significant relationship between network structure and risk propagation and supply network health. We demonstrate the importance of supply network visibility and of the extraction of the information of node firms. We build up an R package for geometric graphs and epidemics. This paper applies the R package to model the supply chain risk for an automotive manufacturing company. The R package provides a firm to construct the complicated interactions among suppliers and display how these interactions impact on risks. Theoretically, our study adapts a computational approach to contribute to the understanding of risk management and supply networks. Managerially, our study demonstrates how the supply chain network analysis approach can benefit the managers by developing a more holistic framework of system-wide risk propagation. This provides guidance for network governance policies, which will lead to healthier supply chains.
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Fatimah, Fatimah, Indah Asmara, Sri Mutia, and M. Sayuti. "Supply Chain Risk Analysis With MAFMA Method Approach." International Journal of Engineering, Science and Information Technology 1, no. 4 (October 27, 2021): 121–25. http://dx.doi.org/10.52088/ijesty.v1i4.196.
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Palm oil mill is a palm oil and palm kernel processing industry which is a semi-finished product. The palm oil industry is currently growing rapidly in line with the demand for large quantities of CPO and Kernal and their derivatives. In its operation, it is always faced with various risks, from the field to the processing plant. These risks will cause losses to the factory, especially in the form of financial. From the results of field observations obtained 13 kinds of supply chain risks, namely damaged trucks, FFB not up to standard, damaged FFB, insufficient FFB, network error, FFB damaged in the sorting field, boiling problems, problematic polisyndrom, abnormal steem, abnormal processes. /stops, viber cyclone plugs and leaks pipe. Therefore, it is necessary to identify, measure and manage risks to reduce losses caused by supply chain risks. The method used in this study is the MAFMA (Multi Attribute Failure Mode Analysis) method. The MAFMA method is a development of the FMEA method. The results showed that the risk level value contained 4 critical risks on the part of the factory, namely FFB less with a risk level value of 0.096, FFB not according to standards with a risk level value of 0.085, network error with a risk level value of 0.083 and the process running abnormally. /stop with a risk level of 0.073. These 4 critical risks are the priority to be handled. The handling carried out is planning for the right FFB procurement, providing guidance on the harvesting process, stabilizing the network by providing copper rods and planning machine scheduling.
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Mascaritolo, John, and Mary C. Holcomb. "Moving towards a resilient supply chain." Journal of Transportation Management 19, no. 2 (September 1, 2008): 71–83. http://dx.doi.org/10.22237/jotm/1220227560.
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The nature of supply chain management—global in scope, the existence of interdependent activities in the various processes, the need for collaborative relationships between members, and the uncertainty that is inherent in both supply and demand - makes it vulnerable to unexpected events that have the potential to disrupt operations as planned. Disruptions to the supply chain can have a profound effect on the firm ranging from loss of revenue to increased costs when operations don’t proceed as planned. Firms realized that it was critical to their business interests to proactively manage, and even mitigate, the risks that are inherent in global supply chains.
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Rius-Sorolla, Gregorio, Sofía Estelles-Miguel, and Carlos Rueda-Armengot. "Multivariable Supplier Segmentation in Sustainable Supply Chain Management." Sustainability 12, no. 11 (June 3, 2020): 4556. http://dx.doi.org/10.3390/su12114556.
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Pressure from stakeholders for sustainable development is forcing top management to reconsider its supply chain management. This form of sustainability must consider the risks, insecurities, and lack of proximity caused by any event on the global economy. Organizations must identify and manage the risks of every link in the chain, while pursuing sustainable development. Corporate social responsibility (CSR) and sustainable development must be the result of a deliberate and coordinated response by the entire organization. A suitable segmentation of suppliers allows development strategies to be prioritized. This article presents the steps that should be followed in supply chain management, the identification of risks, and the new leadership of purchasing management to develop a sustainable supply chain. To this end, some of the key industrial actions reported in the literature are outlined, and two case studies are presented to identify the steps for the segmentation and dynamic development of suppliers. This article provides reflections on the responsibilities of senior management in the new era of sustainable development and presents guidance on how to coordinate sustainable development in the supply chain.
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Pramudhita, Karunia Burhan, and Sugeng Santoso. "ANALYSIS OF FUEL OIL SUPPLY CHAIN RISK MANAGEMENT AT JATINEGARA LOCOMOTIVE DEPO." Jurnal Rekayasa Mesin 13, no. 1 (June 22, 2022): 141–51. http://dx.doi.org/10.21776/ub.jrm.2022.013.01.15.
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PT. Kereta Api Indonesia (Persero) or PT. KAI is one of the State-Owned Enterprises which is engaged in inland transportation, namely trains. In the process of providing transportation services, PT. KAI requires a continuous supply of fuel oil. In the operation of the fuel supply chain, PT. KAI has potential risks such as losses and several other risks that can harm the company. From these problems, this research tries to conduct a risk analysis by applying the ISO 31000 risk management framework to determine the effectiveness of PT. KAI in managing fuel supply chain risks. The distribution of subsidized fuel has been implemented before 2012 by PT KAI is the loco scheme, where a high level of potential risk is found outside the risk tolerance limit so that PT. KAI responds to this problem with risk transfer. Where is PT. KAI tries to take risks by using third-party services to provide and manage fuel for train operations' consumption needs.
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Ahmadsaraei, Mohammad Safary, Amir Abedini Koshksaray, Marzieh Soleimani, and Zeinabalsadat Kazemi. "Sustainable Supply Chain Risk in Food Packaging Industry: Integrated Delphi-CRITIC-COPRAS Method Using Fuzzy Set Theory." International Journal of Business Studies and Innovation 2, no. 1 (March 30, 2022): 61–78. http://dx.doi.org/10.35745/ijbsi2022v02.01.0006.
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The present study aims to develop a framework for sustainable supply chain risk management evaluation in the food packaging industry based on multi-criteria decision-making (MCDM) methods in the fuzzy environment. An integrated MCDM approach is proposed based on Delphi, CRiteria Importance Through Intercriteria Correlation (CRITIC), and COmplex PRoportional ASsessment (COPRAS) methods. Through reviewing the research literature, related criteria were identified and selected based on experts' opinions and the fuzzy Delphi method. The fuzzy CRITIC method was used to determine the weights of the criteria. Finally, based on weighted indices and the fuzzy COPRAS method, food packaging suppliers were ranked according to their ability to manage the risks of sustainable supply chain activities. The results show that operational risks are essential in evaluating suppliers' risks in sustainable supply chain activities in the food packaging industry. Also, the three sub-criteria with the highest weights are defined as product quality risk, machines and equipment risks, and restrictions on green processes.
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Wever, Mark, Nel Wognum, Jacques Trienekens, and Onno Omta. "Managing transaction risks in interdependent supply chains: an extended transaction cost economics perspective." Journal on Chain and Network Science 12, no. 3 (January 1, 2012): 243–60. http://dx.doi.org/10.3920/jcns2012.x214.
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The present study examines the management of transaction risks in supply chains. Risk management studies often ignore the wider supply chain context in which individual transactions take place. However, risk management strategies which are suitable to use when only a single transaction is considered may be inappropriate when other transactions in the supply chain are taken into account. This study addresses this issue by examining: (1) how risks arise as a result of interdependencies between the various transactions making up the supply chain; and (2) what types of contractual-based strategies actors can use to manage their risk exposure. To realize these aims, the study applies an extended Transaction Cost Economics (TCE) framework with a supply chain orientation. The framework illustrates how different types of interdependencies - pooled, sequential and reciprocal - expose companies to different sources of risk. Three strategies companies can use when facing barriers to risk minimization in sequentially interdependent supply chains are analyzed: risk transferring, risk altering and risk sharing. Examples from the agri-food sector are discussed to demonstrate the functioning of these strategies.
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Prakash, Surya, Gunjan Soni, and Ajay Pal Singh Rathore. "A critical analysis of supply chain risk management content: a structured literature review." Journal of Advances in Management Research 14, no. 1 (February 6, 2017): 69–90. http://dx.doi.org/10.1108/jamr-10-2015-0073.
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Purpose The research on supply chain risk management (SCRM) is visibly on the rise, although its literature still lacks the state of the art that critically analyzes its content. The SCRM literature seems to require studies that utilize risk typology, sources of risk, etc. for reviewing the topic. The purpose of this paper is to bridge the gap by synthesizing the information obtained from 343 articles across 85 journals. This study also presents a critical analysis of the content of SCRM in a structured manner to identify the directions for future research. Design/methodology/approach A systematic literature review (SLR) was devised and adopted, which involved the selection, classification, and evaluation of 343 research articles published over a period of 11 years (2004-2014). The content of extant SCRM literature was critically analyzed and synthesized from the perspective of the risk management process (RMP). Findings The analysis of extant literature shows that there is a marked rise in research in the SCRM area, especially after the year 2005. It was observed that not only risk but also different forms of uncertainties make supply chain (SC) operations difficult to manage. The SCRM actions yielded most benefits when their implementation was at chain or network level and managed strategically. The analysis also reveals that the manufacturing sector is most affected by risks and highly investigated by researchers. Practical implications A complete process for SCRM based on risk stratification, objectives of risk management, and RMP will be a guiding model for firms to manage risks. The research gaps identified and future directions provided here will encourage researchers and managers to devise new methods, tools, and techniques to address the risks in modern SC operations. Originality/value An SLR and risk-based content classification of SCRM literature were performed. To identify, locate, select, and analyze the SCRM literature, a structured and systematic process was adopted with some very rarely used methods such as two levels of search keywords, and strings were formulated to locate the most relevant articles in major academic databases.
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Mangla, Sachin K., Pradeep Kumar, and Mukesh Kumar Barua. "Monte Carlo Simulation Based Approach to Manage Risks in Operational Networks in Green Supply Chain." Procedia Engineering 97 (2014): 2186–94. http://dx.doi.org/10.1016/j.proeng.2014.12.462.
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Mangla, Sachin K., Pradeep Kumar, and Mukesh Kumar Barua. "Prioritizing the responses to manage risks in green supply chain: An Indian plastic manufacturer perspective." Sustainable Production and Consumption 1 (January 2015): 67–86. http://dx.doi.org/10.1016/j.spc.2015.05.002.
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Ruan, Jian, Su Lin Pang, and Guo Ping Nong. "Managing B2B-Supply Chain with Option Contract under Disruptions." Advanced Materials Research 476-478 (February 2012): 534–37. http://dx.doi.org/10.4028/www.scientific.net/amr.476-478.534.
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By establishing an option contract model under disruptions in chronological order, we analysis the optimum decision variables and application of option contract to manage the changes in the supply chain benefits which result from the changes of market demand distribution under disruptions, and get optimal strategies. The conclusion is the option contract to supply chain members to achieve shared interests and risks, effective response the changes in market demand with B2B E-markets under disruptions. Finally the conclusion is verified by numerical example.
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Biao, Luo, Wan Liang, and Liang Liang. "A Multi-Agent-Based Research on Tourism Supply Chain Risk Management." Journal of Advanced Manufacturing Systems 13, no. 03 (August 13, 2014): 133–53. http://dx.doi.org/10.1142/s0219686714500097.
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The high level of complexity of tourism supply chain and the inherent risks that exist in the demand and supply of resources are viewed as major limiting factors in achieving high level performance. Though emerging literature on risk management in tourism industry or its equivalent exists, progress in this area is uneven, as most research focuses on this problem from the traditional single business risk management perspective, without considering the entire range of different suppliers involved in the provision and consumption of tourism products. This study applies risk management theory to a new research perspective, which is tourism supply chain management (SCM). This paper develops a framework for the design of a multi-agent-based decision support system (DSS) based on multi-agent theory and technique, in order to manage disruptions and mitigate risks in tourism supply chain.
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Guo, Yi. "What Determines Supply Chain Risk in the Age of Globalization? Implications for Procurement and Logistics Risk Management." Financial Forum 10, no. 3 (October 20, 2021): 20. http://dx.doi.org/10.18282/ff.v10i3.2368.
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Supply chain is one of the most important parts for the company and supply chain management plays an increasingly important role in business development. Supply chain risk has become a major obstacle to supply chain management, and it makes a deep influence on company`s operation and development. The intricacies of the supply chain network structure, the external environment of uncertainty and supply chain managers excessive pursuit of lean, making the supply chain is vulnerability and the supply chain is increasingly vulnerable to various risks impact. Lean supply chain system which more and more companies used can provide the potential benefits, but with the pursuing the ability to respond faster and at lower cost, this system is becoming more and more fragile, and the impact of risks and uncertainties should be more sensitive. Globalization let supply chain have become more uncertainties. The company`s procurement and logistics part have covered different countries or area, which lead to the supply chain risk higher than before. This paper analyses the background and definition of supply chain risk in procurement and logistics. And collect and analyse the risk management method to assess, evaluate, identify, and manage supply chain risk.
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Rehman, Attique ur, Muhammad Shakeel Sadiq Jajja, Raja Usman Khalid, and Stefan Seuring. "The impact of institutional voids on risk and performance in base-of-the-pyramid supply chains." International Journal of Logistics Management 31, no. 4 (October 12, 2020): 829–63. http://dx.doi.org/10.1108/ijlm-03-2020-0143.
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PurposeBase-of-the-pyramid (BoP) markets are frequently characterized by institutional voids. However, it remains unclear how institutional voids impact corporate and supply chain risk and performance. This intersection will be analyzed in this paper.Design/methodology/approachThis paper presents a systematic literature review of 94 BoP papers published between 2004 and 2019 in peer-reviewed, English-language journals available on Scopus. Drawing upon established frameworks for examining institutional voids, supply chain risks and BoP performance, frequency, and contingency analyses are conducted. Contingencies are established to provide insights into the associations between different constructs from the selected frameworks.FindingsSupply chain risks are pervasive in the BoP discourse, especially when BoP markets are characterized by institutional voids. The frequency analysis of the constructs suggests that the key supply chain risks discussed in the BoP literature include social risk, credit risk, product market and operating uncertainties, knowledge and skill biases and decision-maker risks due to bounded rationality. The contingency analysis suggests that institutional voids are associated with supply chain risks that affect performance.Research limitations/implicationsA theoretical framework aligning three research streams in the context of BoP calls for future studies to test the causality of highlighted constructs that are significantly associated. The analysis is confined to the constructs that are taken into account based on specific conceptual frameworks.Practical implicationsThe study provides practitioners with a framework to manage supply chain risks in BoP-related firms to enhance firm performance. Managers can use key dimensions of supply chain risk, such as the product market, the input market and operating uncertainties, to evaluate performance in the BoP context.Originality/valueSpecifically, this research has strengthened the inquiry of supply chain risks in the presence of institutional voids that may have an impact on firm performance
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Singhal, Piyush, Gopal Agarwal, and M. L. Mittal. "Modeling of Risk Management Strategies for SMEs Using ANN under Various Levels of Operational Risks." Advanced Materials Research 433-440 (January 2012): 1683–91. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.1683.
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In competitive world, it becomes essential for the firms to consider the risks and uncertainties as the core concerns. To control the risks, various strategies like multiple sourcing, horizontal/ vertical integrations, buffer stocks etc are employed. But, out of many available risk mitigation strategies, SMEs usually prefer to keep excess safety stocks to manage the operational risks as they have feeble control and position in supply chain as well as limited means to employ other strategies, which requires skills and resources. Keeping appropriate safety stocks becomes a very complex and crucial problem for SMEs as excess stocks reduces the efficiency and shortage of it may make their position vulnerable in supply chains. Concerning to this issue, this paper focuses on operational risks with SME perspectives and explores the appropriate safety inventory levels using artificial neural network models and the results are further simulated with various settings of risk scenarios.
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Baranauskaite, Lina, and Daiva Jurevicienė. "Identification of Lithuanian International Trade Risk in Beverages." Economics and Culture 18, no. 1 (June 1, 2021): 100–112. http://dx.doi.org/10.2478/jec-2021-0008.
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Abstract Research purpose. The article aims to identify the risk groups arising in foreign trade in the four main groups of processed beverages at a national level. Design / Methodology / Approach. Processed agricultural drinks do not fall into the category of essential food. The article examines four main drink groups: waters (including mineral waters and aerated waters, with additive), beer, wine, and other alcoholic (e.g., spirits, liqueurs, whiskies, rums, gins, vodkas, etc.) beverages. The case of Lithuania is presented. Analysis and assumption of scientific literature and TOPSIS method are used. The study does not aim to assess all risk factors but to identify the groups of risk factors and to rank them according to their importance for each processed beverage sectors supply chains. Findings. Based on the scientific literature analysis, the eight risk groups were identified and were evaluated according to their importance for the beverages supply chain. Experts ranked risk groups taking into account their importance for international processed beverages trade for each product group. The results show that the most important is the Demand risks group for all processed beverages, and the least important is Political risk. The significance of other risk groups for a particular beverage supply chains differs. Supply risks were second in the ‘water with add’ group, while in the ‘other alcohol’ group, it is in fourth place. For the ‘other alcohol’ group, supply risks are less significant. Production risks are one of the most important in the wine trade. Financial risks are one of the most important in the ‘other alcohol’ group. Management and operational risks play an essential role in the beer supply chains. The least significant is three risk groups: Logistical and infrastructural risks, Policy and regulatory risks, Political risks. Originality / Value / Practical implications. The identified risks groups in the four main groups of processed beverages can help shape the country’s trade policy, mitigate trade risks, and effectively manage the agricultural trade beverage subsector. Research results can be practically used both for government or business decisions and for the public sector (trade associations).
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Benedito, Ernest, Carme Martínez-Costa, and Sergio Rubio. "Introducing Risk Considerations into the Supply Chain Network Design." Processes 8, no. 6 (June 26, 2020): 743. http://dx.doi.org/10.3390/pr8060743.
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Supply chains (SC) aim to provide products to the final customer at a certain service level. However, unforeseen events occur that impede supply chain objectives. SC Risk has been studied in the literature, providing frameworks and methodologies to manage SC failures. Nevertheless, more efforts are needed to prevent hazardous and disruptive risks and their consequences. These risks must be considered during the process of designing a supply chain. Some methodological contributions concerning risk in the supply chain network design (SCND) are conceptual frameworks for mitigating SC disruptions, which suggest strategies and measures for designing robust and resilient SCs. Although such contributions are valuable, they do not indicate how to cope with risk when designing a SC. The main objective of this research is to describe a methodology aimed at including risk considerations into the SCND. Our proposal aims to be, on the one hand, a comprehensive approach that includes a risk identification and assessment procedure in each of the stages of the SCND process and, on the other hand, a tool for decision-making in SC design or redesign processes when SC risks need to be considered. The methodology proposed is an extension of a SCND methodology including risk considerations in order to improve the performance of the supply chains. A case study illustrates how the proposed methodological works, achieving the identification of SC risks already observed in previous works.
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Martin, Paul Vincent. "The risks of using REDD+ to manage rich socio-ecological systems." International Journal of Rural Law and Policy, no. 1 (July 7, 2013): 1–11. http://dx.doi.org/10.5130/ijrlp.i1.2013.3352.
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REDD+ is an important development in environmental and social justice policy instruments. However, its success depends on a network of complex contingencies, and the achievement of difficult governance transformations in countries that are under severe economic pressure. It ought be obvious that there are significant risks associated with this endeavour, but overt risk management, using standard approaches, is not evident. This paper highlights some of the many risks that the governance of REDD+ (in common with most environmental policy innovations) needs to pay attention to in order to avoid policy failure. There are eight distinct elements that have to work for the REDD+ program to achieve its public policy goals, and each of these carries its own risk. These are: securitisation of carbon sequestration; protection for complex non-carbon values, ensuring the integrity of the supply of credit; multi-level administration and aggregation of tradeable carbon interests; managing the social and economic imbalance of interests; deploying new methods for measurement and securitisation of interests; ensuring a platform of rules, administrative and enforcement systems, teams and intelligence networks; and achieving price and ‘brand’ competitiveness in a crowded carbon offsets marketplace. Although the issues listed in this paper are not comprehensive, they highlight major concerns and support the argument that a comprehensive and systematic approach to policy risk is likely to add value to the REDD+ implementation. The paper suggests that good management practice would separate risk management from policy or instrument development, and embed this aspect of good governance with a sufficient level of authority to ensure that the negative potentials are managed with a degree of vigour consistent with the importance of the issues.
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Sathyamoorthy, Sandeep, and Melody White. "Attention! Instrumentation, Process Controls and Algorithms to Manage Supply Water Quality Risks in Potable Reuse Treatment." Proceedings of the Water Environment Federation 2018, no. 14 (January 1, 2018): 2234–38. http://dx.doi.org/10.2175/193864718825156727.
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Nunes, Marco, António Abreu, Jelena Bagnjuk, Edgar Nunes, and Célia Saraiva. "A Strategic Process to Manage Collaborative Risks in Supply Chain Networks (SCN) to Improve Resilience and Sustainability." Sustainability 14, no. 9 (April 26, 2022): 5237. http://dx.doi.org/10.3390/su14095237.
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Resilience and sustainability are two critical factors in supply chain networks (SCNs) to assure business continuity and achieve competitive advantages. Due to the dynamic interconnections between the several parts that comprise a typical SCN such as customers, organizations, sites, departments, geographies, and so on, efficient collaboration between all parts is vital to assure business success, especially in times of uncertainty and unpredictable disruption. Collaborative risks such as poor communication, deficient information exchange, lack of trust, lack or deficient access or reach, just to name a few, that essentially emerge as a result from a shift toward one of the extremes of the collaborative dimension (lack of collaboration or collaborative overload) are very often invisible; however, they are responsible for undesired outcomes such as production defects and delivery delays, just to name a few. In this work, a strategic process to identify and manage collaborative risks in SCNs to help improve resilience and sustainability is proposed. The proposed strategic process analysis contains three key SCN’s collaborative dimensions ((1) network access or reach, (2) trust, and (3) communication) applying graph centrality metrics, looking for emergent collaborative risks in a quantitative way that potentially may threaten an organization’s efficiency and performance, and thus negatively impact resilience and sustainability. A case study conducted in the middle of the COVID-19 pandemic is illustrated to describe how organization benefit regarding the timely and quantitative identification of potential behavioral patterns that lead to one of the collaborative extremes. The results show that the application proposed strategic process is very successful in ensuring sustainability improving resilience of SCNs.
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Conklin, Art, and Chris Bronk. "Enhancing a SCRM Curriculum With Cybersecurity." International Journal of Systems and Software Security and Protection 9, no. 2 (April 2018): 46–56. http://dx.doi.org/10.4018/ijsssp.2018040104.
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Supply chain-related curricula exist across many universities, with many including risk management as an important or focal element. With the rise of software-driven technology across the supply chain, how can firms manage the inherent risks associated with software as part of a procurement process? This article examines how to provide context appropriate cybersecurity exemplars in a model supply chain education program, bringing to light the issue of embedded risk in software acquisition. Through a series of specifically placed educational elements that provide targeted cybersecurity knowledge to students, the objective is to provide additional skill sets for future supply chain professionals to assist firms in including software related cybersecurity risk as a component in SCRM.
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Colicchia, Claudia, Alessandro Creazza, Carlo Noè, and Fernanda Strozzi. "Information sharing in supply chains: a review of risks and opportunities using the systematic literature network analysis (SLNA)." Supply Chain Management: An International Journal 24, no. 1 (January 14, 2019): 5–21. http://dx.doi.org/10.1108/scm-01-2018-0003.
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Purpose The purpose of this paper is to identify and discuss the most important research areas on information sharing in supply chains and related risks, taking into account their evolution over time. This paper sheds light on what is happening today and what the trajectories for the future are, with particular respect to the implications for supply chain management. Design/methodology/approach The dynamic literature review method called Systematic Literature Network Analysis (SLNA) was adopted. It combines the Systematic Literature Review approach and bibliographic network analyses, and it relies on objective measures and algorithms to perform quantitative literature-based detection of emerging topics. Findings The focus of the literature seems to be on threats that are internal to the extended supply chain rather than on external attacks, such as viruses, traditionally related to information technology (IT). The main arising risk appears to be the intentional or non-intentional leakage of information. Also, papers analyze the implications for information sharing coming from “soft” factors such as trust and collaboration among supply chain partners. Opportunities are also highlighted and include how information sharing can be leveraged to confront disruptions and increase resilience. Research limitations/implications The adopted methodology allows for providing an original perspective on the investigated topic, that is, how information sharing in supply chains and related risks are evolving over time because of the turbulent advances in technology. Practical implications Emergent and highly critical risks related to information sharing are highlighted to support the design of supply chain risks strategies. Also, critical areas to the development of “beyond-the-dyad” initiatives to manage information sharing risks emerge. Opportunities coming from information sharing that are less known and exploited by companies are provided. Originality/value This paper focuses on the supply chain perspective rather than the traditional IT-based view of information sharing. According to this perspective, this paper provides a dynamic representation of the literature on the investigated topic. This is an important contribution to the topic of information sharing in supply chains is continuously evolving and shaping new supply chain models.
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Salleh Hudin, Norlaile, and Abu Bakar Abdul Hamid. "Supply Chain Risk Management in Automotive Small and Medium Enterprises in Malaysia." Applied Mechanics and Materials 773-774 (July 2015): 799–803. http://dx.doi.org/10.4028/www.scientific.net/amm.773-774.799.
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The current automotive supply chain is facing more risks than ever due to the heavy dependencies of local automotive component manufacturers with foreign and established global producers. In response, this paper is designed to explore the supply chain risk management (SCRM) practice of automotive industry in Malaysia. In-depth case studies were conducted at two automotive components manufacturers based on three constructs of SCRM framework including the SCRM process, tools used in SCRM and techniques to minimize risk. The case studies revealed that the automotive companies implemented failure mode and effect analysis (FMEA), 5 why analysis, impact-aspect study, and recovery planning to manage their supply chain risks. In addition, brainstorming techniques, experience and expert judgment were mainly used as risk identification and assessment techniques. Most of the risks encountered during operations were dealt by reactive strategies such as back-up suppliers and increasing buffer stocks. Overall, the automotive companies are heading towards more formal and sophisticated SCRM especially with the certification of TS16949 although there are still plenty of rooms for improvements in the risk identification and risk assessment techniques since very limited quantitative techniques were evidenced.
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Kumar, Sameer, Katie J. Himes, and Collin P. Kritzer. "Risk assessment and operational approaches to managing risk in global supply chains." Journal of Manufacturing Technology Management 25, no. 6 (July 1, 2014): 873–90. http://dx.doi.org/10.1108/jmtm-04-2012-0044.
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Purpose – The purpose of this paper is to provide the organization with a process for assessing risk associated with their supply chain and a framework from which they can build their strategy to manage risk. Design/methodology/approach – The proposed process is based on a compilation of research and interactions with supply chain managers in various industries, and these sources provide a specific process to identify how critical the risk is, when to act upon it, and how to manage it. An adapted risk mitigation framework organizes strategies according to the likelihood of disruption and consequences. Included is an industry example used to demonstrate the framework. Findings – The variability and uncertainty associated with supply chain risks make disruption difficult to predict. Furthermore, getting information from suppliers about the amount of risk associated with their operation in an attempt to scope one's own risk can be a challenge. Management must consider the amount of risk the organization is going to accept and how much to invest to mitigate it. Originality/value – To manage the risk associated with supply chain disruption, an organization must deploy a strategy for assessing it. Once risk areas have been identified, the organization must design strategies which will mitigate the risk. The depth and degree to which risk is mitigated depends upon how risk-averse a company is and what they are willing to invest in this activity.