scholarly journals A preventive approach to risk management in global fruit and vegetable supply chains

2013 ◽  
Author(s):  
V. Raab ◽  
J. O’Hagan ◽  
F. Stecher ◽  
M. Fürtjes ◽  
A. Brügger ◽  
...  
Keyword(s):  
Risk Management ◽  
Supply Chains ◽  
Fruit And Vegetable ◽  
Preventive Approach

Risk Management In Supply Chains under COVID-19 conditions

2022 ◽  
Vol 13 (1) ◽  
pp. 1
Author(s):  
Andrey Solovev ◽  
Olga Domnina ◽  
Rodion Rogulin ◽  
Tatyana Sakulyeva
Keyword(s):  
Risk Management ◽  
Supply Chains

scholarly journals What is Happening in Supply Chain Management? From Push to Pull through Best Value Thinking

2011 ◽  
Vol 3 (1) ◽  
pp. 46
Author(s):  
Sicco Santema
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
The Other ◽  
Supply Management ◽  
Chain Management ◽  
Best Value ◽  
Pull Through ◽  
Main Change

In this paper we take a closer look at developments in supply management. The main change in this discipline seems to be (2011) that cooperation and risk management are taking over the classical silo based way of looking at business. Companies start to learn that transactions block the profits throughout the chain. Or, to put it the other way around, supply chain parties learn that sharing interests is earning much more money and that supply chains become ‘faster, cheaper and better’.

Quantitative Risk Management Models for Newsvendor Supply Chains

2011 ◽  
pp. 155-170
Author(s):  
Dimitrios Vlachos
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Supply Chains ◽  
Stochastic Environment ◽  
Supply Chain Disruptions ◽  
Supply Chain Networks ◽  
Starting Point ◽  
The Impact ◽  
A Company

As the practices of offshoring and outsourcing force the supply chain networks to keep on expanding geographically in the globalised environment, the logistics processes are becoming more exposed to risk and disruptions. Thus, modern supply chains seem to be more vulnerable than ever. It is clear that efficient logistics risk and security management emerges as an issue of pivotal importance in such competitive, demanding and stochastic environment and is thus vital for the viability and profitability of a company. In this context, this chapter focuses on a set of stochastic quantitative models that study the impact of one or more supply chain disruptions on optimal determination of single period inventory control policies. The purpose of this research is to provide a critical review of state-of-the-art methodologies to be used as a starting point for further research efforts.

Control of Perishable Goods in Cold Logistic Chains by Bionanosensors

2016 ◽  
pp. 376-402 ◽  
Author(s):  
David Bogataj ◽  
Damjana Drobne
Keyword(s):  
Supply Chain ◽  
Feedback Control ◽  
Supply Chains ◽  
Industrial Engineering ◽  
Fruit And Vegetable ◽  
Loss Prevention ◽  
Post Harvest ◽  
Perishable Goods ◽  
Temperature And Humidity ◽  
Post Harvest Loss

Nanotechnology can contribute to food security in supply chains of agri production-consumption systems. The unique properties of nanoparticles have stimulated the increasing interest in their application as biosensing. Biosensing devices are designed for the biological recognition of events and signal transduction. Many types of nanoparticles can be used as biosensors, but gold nanoparticles have sparked most interest. In the work presented here, we will address the problem of fruit and vegetable decay and rotting during transportation and storage, which could be easily generalized also onto post-harvest loss prevention in general. During the process of rotting, different compounds, including different gasses, are released into the environment. The application of sensitive bionanosensors in the storage/transport containers can detect any changes due to fruit and vegetable decay and transduce the signal. The goal of this is to reduce the logistics cost for this items. Therefore, our approach requires a multidisciplinary and an interdisciplinary approach in science and technology. The cold supply chain is namely a science, a technology and a process which combines applied bio-nanotechnology, innovations in the industrial engineering of cooling processes including sensors for temperature and humidity measurements, transportation, and applied mathematics. It is a science, since it requires the understanding of chemical and biological processes linked to perishability and the systems theory which enables the developing of a theoretical framework for the control of systems with perturbed time-lags. Secondly, it is a technology developed in engineering which relies on the physical means to assure appropriate temperature conditions along the CSC and, thirdly, it is also a process, since a series of tasks must be performed to prepare, store, and transport the cargo as well as monitor the temperature and humidity of sensitive cargo and give proper feedback control, as it will be outlined in this chapter. Therefore, we shall discuss how to break the silos of separated knowledge to build an interdisciplinary and multidisciplinary science of post-harvest loss prevention. Considering the sensors as floating activity cells, modelled as floating nodes, in a graph of such a system, an extended Material Requirement Planning (MRP) theory will be described which will make it possible to determine the optimal feedback control in post-harvest loss prevention, based on bionanosensors. Therefore, we present also a model how to use nanotechnology from the packaging facility to the final retail. Any changes in time, distance, humidity or temperature in the chain could cause the Net Present Value (NPV) of the activities and their added value in the supply chain to be perturbed, as presented in the subchapter. In this chapter we give the answers to the questions, how to measure the effects of some perturbations in a supply chain on the stability of perishable agricultural goods in such systems and how nanotechnology can contribute with the appropriate packaging and control which preserves the required level of quality and quantity of the product at the final delivery. The presented model will not include multicriteria optimization but will stay at the NPV approach. But the annuity stream achieved by improved sensing and feedback control could be easily combined with environmental and medical/health criteria. An interdisciplinary perspective of industrial engineering and management demonstrates how the development of creative ideas born in separate research fields can be liaised into an innovative design of smart control devices and their installation in trucks and warehouses. These innovative technologies could contribute to an increase in the NPV of activities in the supply chains of perishable goods in general.

scholarly journals Identification of Sensor Requirements for a Quality Data-based Risk Management in Multimodal Supply Chains

Procedia CIRP ◽  
2018 ◽  
Vol 72 ◽  
pp. 563-568 ◽  
Author(s):  
Daniel Sommerfeld ◽  
Michael Teucke ◽  
Michael Freitag
Keyword(s):  
Risk Management ◽  
Supply Chains ◽  
Quality Data
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