Risk analysis for container shipping: from a logistics perspective

Chang, Chih-Hsin; Xu, Jingjing; Song, Dong‐Ping

doi:10.1108/ijlm-07-2012-0068

Cited by 67 publications

(81 citation statements)

References 40 publications

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“…Despite the wealth of mathematical models that address SC risk (Babich et al, 2007, Chang et al, 2015a, Sherwin et al, 2016, disruptions (Snyder et al, 2006, Ivanov et al, 2016, Snyder et al, 2016, and disaster relief (Altay and Green III, 2006, Afshar and Haghani, 2012, Caunhye et al, 2012, mathematical models of food contamination and its impact on agri-supply chains are relatively sparse. The current literature on SC disruptions in the fresh produce sector approaches the problem qualitatively and generally focuses on identifying key factors in these disruptions.…”

Section: Introductionmentioning

confidence: 99%

Modeling disruption in a fresh produce supply chain

MacKenzie

Apte

2017

IJLM

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Purpose-The purpose of this paper is to quantify elements that make fresh produce supply chains vulnerable to disruptions and to quantify the benefits of different disruption management strategies.Design/methodology/approach-This paper develops a mathematical model of a disruption in a fresh produce supply chain and analyzes the relationships among variables. Findings-The model determines the optimal safety stock as a function of the perishability of the produce, the length of time it takes to find the contamination, the level of demand during the disruption, and the amount of produce that can be rerouted. Applying the model to the 2006 E. coli spinach contamination reveals that the drop in customer demand for fresh spinach plays the largest role in Dole losing sales.Research limitations-The model includes several parameters that may be difficult to estimate.Future models can incorporate uncertainty that is inherent in supply chain disruptions. 2Practical implications-The model in this paper can help a supply chain manager explore the trade-offs of different disruption management strategies. For example, a supply chain manager can determine the value of holding additional safety stock versus trying to improve traceability in the supply chain.Originality/value-This paper quantifies and models insights delivered in the qualitative analyses of fresh produce supply chain disruptions. The theoretical contributions include an analysis of the interaction among safety stock, levels of demand, communication, and traceability parameters in order to help supply chain managers evaluate different strategies to mitigate the effects of contaminated produce.3

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Section: Introductionmentioning

confidence: 99%

Modeling disruption in a fresh produce supply chain

MacKenzie

Apte

2017

IJLM

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“…Risk analysis and determination of the value of safety indicators allows possible risks and their consequences to be visualized [6]. The most common types of risk analyses are HIRA and FMEA, which are performed prior to the planned implementation of improvements [10,2].…”

Section: Hira Hazard Identification and Risk Analysismentioning

confidence: 99%

“…The Kaizen method for processes is characterized by a high quantity of small improvements, which require little effort. Due to this there can be many improvements, and they are easy to implement [1,2].…”

Section: Hira Hazard Identification and Risk Analysismentioning

confidence: 99%

Risk minimization methods for loading dangerous goods into tanker trains

Kuźnar¹,

Lorenc²

2019

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The paper focuses attention on the problem of increased risks during the loading and unloading of railway tankers. To evaluate the risk which may occur during loading dangerous goods into tanker trains, the loading processes have been divided into seven stages. Based on HIRA risk analysis, for each stage of improvements, Quick Kaizen tasks were proposed. Special attention was paid to possible improvements in technical means, tools and processes. Thanks to the proposed improvements, it is possible to increase safety, not only during the loading of dangerous goods, but also in cases of loading and transportation of standard cargoes.Streszczenie W artykule zwrócono uwagę na problem zwiększonego poziomu ryzyka powstającego podczas załadunku i rozładunku cystern kolejowych. W celu jego oceny dokonano podziału procesu załadunku na siedem etapów oraz uwzględniono dodatkowo prace konserwacyjne i sytuacje nietypowe, które mogą wystąpić podczas załadunku materiałów niebezpiecznych. Na podstawie przeprowadzonej oceny ryzyka w każdym z poszczególnych etapów utworzono zbiór zaleceń pozwalających na zwiększenie bezpieczeństwa pracowników. Zwrócono szczególną uwagę na możliwe usprawnienia wykorzystywanych środków technicznych, narzędzi oraz sposobu postępowania. Dzięki przedstawionym w artykule zaleceniom możliwe jest zwiększenie poziomu bezpieczeństwa nie tylko podczas załadunku materiałów niebezpiecznych, ale także w przypadku przewozu ładunków standardowych.Słowa kluczowe: ocena ryzyka, załadunek cystern, analiza HIRA, materiały niebezpieczne

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“…Vessel disruptions are operational risks that affect an ocean carrier's ability to deliver their goods in a timely manner (Manuj and Mentzer ; Chang et al. ). Specifically, vessel disruptions can cause capacity restrictions among vessels, resulting in delays in supply chains and loss of customers (Blackhurst et al.…”

Section: Background Literaturementioning

confidence: 99%

Linking Workplace Safety to Operational Disruptions: A Moderated Mediation Analysis in Commercial Vessels

Choo

Grabowski

2018

J of Business Logistics

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L ittle is known about the mechanism of how workplace safety may affect operational disruptions manifested as unplanned maintenance in commercial vessels. Building upon the high reliability organization theory as a broad framework, we propose that workplace safety climate influences how employees identify and report errors at work. Specifically, no-blame error reporting mediates the relationship between safety climate and unplanned maintenance in vessels. Additionally, we posit that the mediation effect varies among vessels in that it is stronger (weaker) in newer (older) vessels that are easier (harder) to maintain operationally. We test the moderated mediation framework at the vessel level of analysis using an archival survey data with multiple responses from 1,169 crewmembers in 86 marine vessels. Our results lend support to the mediation effect in that safety climate facilitates no-blame error reporting, which subsequently reduces the frequency of unplanned maintenance. In particular, the effect of safety climate on unplanned maintenance is fully mediated by no-blame error reporting. As vessel owners attempt to maximize their return on investments in aging ships, the mediation effect shows a high level of safety climate in a vessel is indirectly associated with a significantly lower level of unplanned maintenance rate relative to a similar age vessel but with an average level of safety climate. However, the mediation effect weakens as a vessel ages. This study contributes to important insights into how safety climate can reduce operational disruptions (unplanned maintenance events) through error reporting behaviors, contingent upon the age of ocean carriers in logistics companies.

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Risk analysis for container shipping: from a logistics perspective

Cited by 67 publications

References 40 publications

Modeling disruption in a fresh produce supply chain

Modeling disruption in a fresh produce supply chain

Risk minimization methods for loading dangerous goods into tanker trains

Linking Workplace Safety to Operational Disruptions: A Moderated Mediation Analysis in Commercial Vessels

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