scholarly journals Risk Mitigation in a Meat Supply Chain with Options of Redirection

2020 ◽  
Vol 12 (20) ◽  
pp. 8690
Author(s):  
David Bogataj ◽  
Domen Hudoklin ◽  
Marija Bogataj ◽  
Vlado Dimovski ◽  
Simon Colnar
Keyword(s):  
Supply Chain ◽  
Shelf Life ◽  
Real Time ◽  
Time Delays ◽  
Net Present Value ◽  
Risk Mitigation ◽  
Smart Devices ◽  
Local Market ◽  
Time To Failure ◽  
And Control

The aim of this paper is to present how a higher income can be achieved by developing a broader and more accurate planning framework and control perishability from stable to fork if it is possible to redirect the shipments in the case of increasing perishability dynamics or longer time delays on the roads. It also gives the answer to the question of how such a Supply Chain (SC) can be evaluated using Net Present Value (NPV) approach. The procedures include a real-time calculation and communication about the remaining shelf life (RSL) during transportation and other logistic manipulations from one chain node to another if the time to exceed the contractually stipulated Customer Remaining Shelf Life (CRSL) is distributed by known distribution. Planning and control on the skeleton of the extended material requirements planning (MRP) model are advised, where time delays and their impact on the CRSL can be easily calculated. The changes in the NPV at contractually stipulated CRSL are calculated dynamically in real-time. Smart devices, tracking temperature, humidity, and gas concentration enable such reports immediately after detecting a high probability that CRSL, as stipulated in a contract, will not be achieved, based on the known parameters of the exponential distribution of the remaining shelf life as a time to failure at each node of the graph. The model includes possibilities to deliver the meat to the local market or to the reverse logistics plants in the nodes of the remaining route, if the expected contractually stipulated CRSL becomes too high. On this way, shortening unnecessary routes further contributes to less pollution.

Applying Novel Future-Internet-Based Supply Chain Control Towers to the Transport and Logistics Domain

2014 ◽  
Author(s):  
Cyril Alias ◽  
Mandar Jawale ◽  
Alexander Goudz ◽  
Bernd Noche
Keyword(s):  
Supply Chain ◽  
Real Time ◽  
Future Internet ◽  
Monitoring And Control ◽  
Real Time Monitoring ◽  
Internet Technologies ◽  
Supply Chain Networks ◽  
Chain Processes ◽  
The Future ◽  
And Control

Competing supply chain networks all around the globe are under scrutiny due to ever-growing demand for service improvement and cost reduction. A major field of action in this respect is the realization of real-time monitoring means for supply chain processes including a constant comparison of the respective progress status with the planning guidelines and the best possible management of deviations and exceptions. Control towers have been named as the future tool of supply chain monitoring for quite a while. They are defined as decision-support systems merging different data streams from various subordinate levels and displaying the consolidated information at a higher level for the purpose of monitoring and control of processes while pursuing the goal of optimal process operation. Contrary to the technological constraints of the past which prevented a continuous and fully transparent real-time monitoring of supply chain processes, innovative evolving so-called Future Internet technologies enable genuine transparency and the handling of exceptions in a timely and cost-efficient manner nowadays. With the help of such technologies, newly designed and built control towers are supposed to assist actors on the planning and execution levels of their respective supply chain networks in their decision-making in case of relevant deviations or exceptions. This again raises the market acceptance of such control towers. This paper presents a novel approach to the functional principle of Future-Internet-based control tower solutions and describes the different components therein. Especially, the incorporation of manifold information sources from the Future Internet technologies for the purpose of real-time monitoring and control of supply chain processes is highlighted in the paper.

Stochastic analysis and control of real-time systems with random time delays

Automatica ◽  
1998 ◽  
Vol 34 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Johan Nilsson ◽  
Bo Bernhardsson ◽  
Björn Wittenmark
Keyword(s):  
Real Time ◽  
Stochastic Analysis ◽  
Time Delays ◽  
Random Time ◽  
Real Time Systems ◽  
And Control ◽  
Time Systems

Research progress of packaging indicating materials for real-time monitoring of food quality

2019 ◽  
Vol 9 (5) ◽  
pp. 377-396 ◽  
Author(s):  
Danfei Liu ◽  
Ling Yang ◽  
Mi Shang ◽  
Yunfei Zhong
Keyword(s):  
Supply Chain ◽  
Shelf Life ◽  
Real Time ◽  
Food Quality ◽  
Food Packaging ◽  
Cold Chain ◽  
Research Progress ◽  
Packaging Materials ◽  
Toxic Substances ◽  
Fresh Food

The rapid development of cold-chain transportation necessitates consumers to present high requirements on safety and freshness of fresh food in recent years. The quality and taste of fresh food can be monitored and controlled through the intelligent packaging technologies and new food packaging materials such as time-temperature indicators (TTIs), Radio Frequency Identification (RFID), biological composites and polymer nanocomposites. Based on different packaging materials, indicators and sensors are employed in food packaging for real-time detection of information about freshness, temperature, microbiological, and shelf life of products in the supply chain. Wide varieties of packaging materials are suitable for providing intelligent and smart properties for food packaging, such as oxygen scavenging capability, antimicrobial activity, and recording the thermal history. Due to the special properties of prepared materials, TTIs are used to point out the remaining shelf life of perishable products throughout the supply chain. Compared with others, they have the advantages of low cost, small size and convenient indication. Additionally, the TTIs can effectively solve food quality and safety problems caused by temperature fluctuation in supply chain. Since the irreversible color change of TTIs, the food safety situation would be shown intuitively. Currently, the TTIs were widely used in application of food packaging by providing safety information. However, the application is also accompanied with some deficiencies such as the accuracy of monitoring, migration of toxic substances, stability and expensive cost etc. This review will deeply discuss the preparation of various types of TTIs based on different package indicating materials with a particular emphasis on how to improve their accuracy and stability, control the migration of toxic substances and to develop new TTIs.

scholarly journals Stochastic Analysis and Control of Real-Time Systems with Random Time Delays

1996 ◽  
Vol 29 (1) ◽  
pp. 7106-7111 ◽  
Author(s):  
Johan Nilsson ◽  
Bo Bernhardsson ◽  
Björn Wittenmark
Keyword(s):  
Real Time ◽  
Stochastic Analysis ◽  
Time Delays ◽  
Random Time ◽  
Real Time Systems ◽  
And Control ◽  
Time Systems

A supply chain performance measurement approach using the internet of things

2017 ◽  
Vol 117 (2) ◽  
pp. 267-286 ◽  
Author(s):  
Abdallah Jamal Dweekat ◽  
Gyusun Hwang ◽  
Jinwoo Park
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Performance Measurement ◽  
Real Time ◽  
Supply Chain Performance ◽  
Time Data ◽  
Content Type ◽  
Performance Measurement Systems ◽  
And Control

Purpose The purpose of this paper is to introduce a more practical approach for supply chain performance measurement (SCPM) and to approve the promising role of internet of things (IoT) technologies in SCPM systems. Design/methodology/approach This is a conceptual paper that includes literature review analysis, designing a new approach for SCPM, and a case study scenario for proving its applicability. Findings The case study scenario shows that IoT can enhance SCPM, as it has the capability to enable real-time data collection, increase data efficiency as long as enable real-time communication within the supply chain (SC). Practical implications The proposed approach can help to develop performance measurement systems and applications enabled by IoT technologies. These systems can be used to monitor, manage, and control the overall SC in real time and in a more integrated and cooperative manner. Originality/value This paper provides a structured systems building approach tailored to show how to employ IoT technologies in the field of SCPM. This approach could help in establishing new performance measurement applications, and it is believed that both practitioners and researchers will benefit from it.

scholarly journals Design of a Distributed Wireless Sensor Platform for Monitoring and Real-Time Communication of the Environmental Variables during the Supply Chain of Perishable Commodities

2021 ◽  
Vol 11 (13) ◽  
pp. 6183
Author(s):  
Roque Torres-Sanchez ◽  
María Teresa Martínez Zafra ◽  
Fulgencio Soto-Valles ◽  
Manuel Jiménez-Buendía ◽  
Ana Toledo-Moreo ◽  
...  
Keyword(s):  
Supply Chain ◽  
Shelf Life ◽  
Real Time ◽  
Environmental Variables ◽  
Collaborative Networks ◽  
Wireless Sensor ◽  
Sensor Platform ◽  
Food Losses ◽  
Quality And Shelf Life ◽  
Main Factor

Monitoring the main environmental conditions during storage and transportation of perishable foods is necessary to predict quality losses throughout shelf life. By far, temperature is the main factor affecting quality and shelf life, but there are other variables that would greatly affect quality losses such us relative humidity, O2, CO2, ethylene, etc. Thus, the real-time knowledge of the evolution of these parameters during the whole supply chain allows suppliers to prevent for food losses. This paper deeply describes the design of a flexible monitoring system with real-time communication to be used in the supply chain of perishable commodities, using Wi-Fi wireless communication as collaborative networks between different measurement points. Aspects such as consumption, performance and feasibility of the system are described in detail to check the adaptability of its use.

scholarly journals Blockchain-Based IoT Devices in Supply Chain Management: A Systematic Literature Review

2021 ◽  
Vol 13 (24) ◽  
pp. 13646
Author(s):  
Muzammil Hussain ◽  
Waheed Javed ◽  
Owais Hakeem ◽  
Abdullah Yousafzai ◽  
Alisha Younas ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Value Chain ◽  
Management Systems ◽  
Smart Devices ◽  
Production Network ◽  
Chain Management ◽  
The Face ◽  
Iot Devices ◽  
And Control

Through recent progress, the forms of modern supply chains have evolved into complex networks. The supply chain management systems face a variety of challenges. These include lack of visibility of the upstream party (Provider) to the downstream party (Client); lack of flexibility in the face of sudden variations in demand and control of operating costs; lack of reliance on safety stakeholders; ineffective management of supply chain risks. Blockchain (BC) is used in the supply chain to overcome the growing demands for items. The Internet of Things (IoT) is a profoundly encouraging innovation that can help companies observe, track, and monitor products, activities, and processes within their respective value chain networks. Research establishments and logical gatherings are ceaselessly attempting to answer IoT gadgets in supply chain management. This paper presents orderly writing on and reviewing of Blockchain-based IoT advances and their current usage. We discuss the smart devices used in this system and which device is the most appropriate in the supply chain. This paper also looks at future examination themes in blockchain-based IoT, referred to as the executive’s framework production network. The essential deliberate writing audit has been consolidated by surveying research articles circulated in highly reputable publications between 2016 and 2021. Lastly, current issues and challenges are present to provide researchers with promising future directions in IoT supply chain management systems.

Microstructural investigation of surface roughness in MBE-grown AlAs

1995 ◽  
Vol 53 ◽  
pp. 454-455
Author(s):  
R. Rajesh ◽  
R. Droopad ◽  
C. H. Kuo ◽  
R. W. Carpenter ◽  
G. N. Maracas
Keyword(s):  
Thin Film ◽  
Real Time ◽  
Growth Control ◽  
Native Oxide ◽  
Effusion Cell ◽  
Surface Oxide Layer ◽  
Microstructural Investigation ◽  
Mbe Growth ◽  
Film Substrate ◽  
And Control

Knowledge of material pseudodielectric functions at MBE growth temperatures is essential for achieving in-situ, real time growth control. This allows us to accurately monitor and control thicknesses of the layers during growth. Undesired effusion cell temperature fluctuations during growth can thus be compensated for in real-time by spectroscopic ellipsometry. The accuracy in determining pseudodielectric functions is increased if one does not require applying a structure model to correct for the presence of an unknown surface layer such as a native oxide. Performing these measurements in an MBE reactor on as-grown material gives us this advantage. Thus, a simple three phase model (vacuum/thin film/substrate) can be used to obtain thin film data without uncertainties arising from a surface oxide layer of unknown composition and temperature dependence.In this study, we obtain the pseudodielectric functions of MBE-grown AlAs from growth temperature (650°C) to room temperature (30°C). The profile of the wavelength-dependent function from the ellipsometry data indicated a rough surface after growth of 0.5 μm of AlAs at a substrate temperature of 600°C, which is typical for MBE-growth of GaAs.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

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