scholarly journals Multilayer Network-Based Production Flow Analysis

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Tamás Ruppert ◽  
Gergely Honti ◽  
János Abonyi
Keyword(s):  
Production Systems ◽  
Flow Analysis ◽  
Decision Support Tool ◽  
Exploratory Analysis ◽  
Benchmark Problem ◽  
Production Flow ◽  
Multilayer Network ◽  
Support Tool ◽  
Production Technologies ◽  
The Relationship

A multilayer network model for the exploratory analysis of production technologies is proposed. To represent the relationship between products, parts, machines, resources, operators, and skills, standardized production and product-relevant data are transformed into a set of bi- and multipartite networks. This representation is beneficial in production flow analysis (PFA) that is used to identify improvement opportunities by grouping similar groups of products, components, and machines. It is demonstrated that the goal-oriented mapping and modularity-based clustering of multilayer networks can serve as a readily applicable and interpretable decision support tool for PFA, and the analysis of the degrees and correlations of a node can identify critically important skills and resources. The applicability of the proposed methodology is demonstrated by a well-documented benchmark problem of a wire-harness production process. The results confirm that the proposed multilayer network can support the standardized integration of production-relevant data and exploratory analysis of strongly interconnected production systems.

Transparency Issues Within a Transport Buyer and Provider Relationship

2020 ◽  
pp. 78-95
Author(s):  
Eirill Bø
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Decision Support Tool ◽  
Food Distribution ◽  
Household Waste ◽  
Support Tool ◽  
Time Parameters ◽  
The Right ◽  
The Cost ◽  
The Relationship

Transport is an important function in the supply chain. This chapter focuses on how to buy a transport service, how to form a transport contract, and how a transparent relationship will influence the risk and the relationship between transport provider and buyer. By developing a decision support tool (DST-model) and calculating the cost and the time parameters, the right price and the cost drivers will appear. The cases described in this chapter are a large Norwegian wholesaler for food, distribution to the retailer, and two Norwegian municipalities collecting household waste. In these cases, the buyer and the provider are acting blind in setting the transport price. This means that there is a huge risk for either a bankruptcy by the transport provider or an overpriced transport for the buyer.

scholarly journals Spatialized flood resilience measurement in rapidly urbanized coastal areas with a complex semi-arid environment in northern Morocco

2021 ◽  
Vol 21 (3) ◽  
pp. 1101-1118
Author(s):  
Narjiss Satour ◽  
Otmane Raji ◽  
Nabil El Moçayd ◽  
Ilias Kacimi ◽  
Nadia Kassou
Keyword(s):  
Composite Index ◽  
Decision Support Tool ◽  
Arid Environment ◽  
Flood Frequency ◽  
Urban Systems ◽  
Local Conditions ◽  
Support Tool ◽  
Set Up ◽  
The Relationship

Abstract. Enhancing resilience is critical for coastal urban systems to cope with and minimize flood disaster risks. This issue is certainly more important in Africa, where the increase in flood frequency is a significant concern for many areas. In this context, urban planners need accurate approaches to set up a standard for measuring the resilience to floods. In Morocco, this issue is still not fully covered by the scientific community despite the obvious need for a new approach adapted to local conditions. This study applied a composite index and geographic-information-system approach to measure and map resilience to floods in three northern coastal municipalities. The approach is also based on a linear ranking of resilience parameters, offering a more optimal classification of spatial resilience variation. The results allowed us to identify specific areas with different resilience levels and revealed the relationship between urban dimensions and the flood resilience degree. This approach provides an efficient decision-support tool to facilitate flood risk management, especially in terms of prioritizing protective actions.

scholarly journals Development of a transboundary model of livestock disease in Europe

2021 ◽  
Author(s):  
Richard Bradhurst ◽  
Graeme Garner ◽  
Márk Hóvári ◽  
Maria de la Puente ◽  
Koen Mintiens ◽  
...  
Keyword(s):  
Production Systems ◽  
National Level ◽  
Decision Support Tool ◽  
Animal Disease ◽  
Control Policies ◽  
Support Tool ◽  
Outbreak Management ◽  
Continental Scale ◽  
Livestock Disease ◽  
Modelling Framework

SummaryEpidemiological models of notifiable livestock disease are typically framed at a national level and targeted for specific diseases. There are inherent difficulties in extending models beyond national borders as details of the livestock population, production systems and marketing systems of neighbouring countries are not always readily available. It can also be a challenge to capture heterogeneities in production systems, control policies, and response resourcing across multiple countries, in a single transboundary model.In this paper we describe EuFMDiS, a continental-scale modelling framework for transboundary animal disease, specifically designed to support emergency animal disease planning in Europe. EuFMDiS simulates the spread of livestock disease within and between countries and allows control policies to be enacted and resourced on per-country basis. It provides a sophisticated decision support tool that can be used to look at the risk of disease introduction, establishment and spread; control approaches in terms of effectiveness and costs; resource management; and post-outbreak management issues.

scholarly journals Carbon Footprint-Energy Detection for Desalination Small Plant Adaptation Response

Energies ◽  
2021 ◽  
Vol 14 (21) ◽  
pp. 7135
Author(s):  
Latifah Abdul Ghani ◽  
Nora’aini Ali ◽  
Ilyanni Syazira Nazaran ◽  
Marlia M. Hanafiah ◽  
Norhafiza Ilyana Yatim
Keyword(s):  
Carbon Footprint ◽  
Environmental Sustainability ◽  
Production Systems ◽  
Processing System ◽  
Decision Support Tool ◽  
Future Research ◽  
Model Framework ◽  
Support Tool ◽  
Desalination Plant ◽  
Carbon Footprint Assessment

The Life Cycle Assessment (LCA) system, which can be used as a decision support tool for managing environmental sustainability, includes carbon footprint assessment as one of the available methodologies. In this study, a carbon footprint assessment was used to investigate seawater production systems of a desalination plant in Senok, Kelantan, Malaysia. Three stages of the desalination plant processing system were investigated and the inventory database was developed using the relevant model framework. Subsequently, measurements and interpretations were performed on several key indicators such as greenhouse gases, energy efficiency, acidic gases, smog, and toxic gases. Overall, the results of the study indicate that the Reverse Osmosis (RO) technology that is used in the desalination plant in the study area is one of the best options to meet the demands of the environmental sustainability agenda (SDGs). This is due to the lower carbon dioxide (CO2) emission, of about 3.5 × 10−2 kg of CO2 eq per m3/year, that was recorded for the entire operation of the system. However, several factors that influence important errors in carbon footprint decisions, such as the lack of EIA reporting data and the literature on carbon footprint in the Malaysian scenario, in addition to direct and indirect carbon input calculations, need to be identified in more detail in future research.

scholarly journals A Model of Systems Dynamics for Physical Flow Analysis in a Distribution Supply Chain

2021 ◽  
Vol 22 (1) ◽  
pp. 98-108
Author(s):  
Kahina Hamoudi ◽  
Ahmed Bellaouar ◽  
Romain Petiot
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Flow Analysis ◽  
Decision Support Tool ◽  
Flow Diagram ◽  
Systems Dynamics ◽  
Transport Costs ◽  
Support Tool ◽  
Term Operation ◽  
Distribution Logistics

AbstractThis article proposes a model of systems dynamics for the analysis and study of physical flows in a distribution logistics chain. The proposed model is a decision support tool that allows testing several scenarios in order to study the behavior of physical flows within a supply chain depending on the inventory and transport costs and taking into consideration the environmental issues through the integration of a CO2 tax in transport costs. The developed model can be used to analyze various scenarios and perform various “what-if” analyzes, as well as to answer questions about the long-term operation of distribution chains. The results show that logistic decisions and strategies taken at the supply chain level influence inventory and transport costs. They show also that the model is a well decision-support tool for calculating and analyzing transport and inventory costs. We first expose the methodology and the literature review. Next, we present in detail the structure of the model consisting of the causal loops diagram and stock and flow diagram. Finally, we discuss the results of the model.

scholarly journals Application of a model to assess aflatoxin risk in peanuts

2010 ◽  
Vol 148 (3) ◽  
pp. 341-351 ◽  
Author(s):  
Y. S. CHAUHAN ◽  
G. C. WRIGHT ◽  
R. C. N. RACHAPUTI ◽  
D. HOLZWORTH ◽  
A. BROOME ◽  
...  
Keyword(s):  
Large Scale ◽  
Production Systems ◽  
Risk Index ◽  
Temperature Response ◽  
Decision Support Tool ◽  
Fold Increase ◽  
Climatic Conditions ◽  
Aflatoxin Contamination ◽  
Climatic Data ◽  
Support Tool

SUMMARYWhen exposed to hot (22–35°C) and dry climatic conditions in the field during the final 4–6 weeks of pod filling, peanuts (Arachis hypogaeaL.) can accumulate highly carcinogenic and immuno-suppressing aflatoxins. Forecasting of the risk posed by these conditions can assist in minimizing pre-harvest contamination. A model was therefore developed as part of the Agricultural Production Systems Simulator (APSIM) peanut module, which calculated an aflatoxin risk index (ARI) using four temperature response functions when fractional available soil water was <0·20 and the crop was in the last 0·40 of the pod-filling phase. ARI explained 0·95 (P⩽0·05) of the variation in aflatoxin contamination, which varied from 0 toc. 800 μg/kg in 17 large-scale sowings in tropical and four sowings in sub-tropical environments carried out in Australia between 13 November and 16 December 2007. ARI also explained 0·96 (P⩽0·01) of the variation in the proportion of aflatoxin-contaminated loads (>15 μg/kg) of peanuts in the Kingaroy region of Australia during the period between the 1998/99 and 2007/08 seasons. Simulation of ARI using historical climatic data from 1890 to 2007 indicated a three-fold increase in its value since 1980 compared to the entire previous period. The increase was associated with increases in ambient temperature and decreases in rainfall. To facilitate routine monitoring of aflatoxin risk by growers in near real time, a web interface of the model was also developed. The ARI predicted using this interface for eight growers correlated significantly with the level of contamination in crops (r=0·95,P⩽0·01). These results suggest that ARI simulated by the model is a reliable indicator of aflatoxin contamination that can be used in aflatoxin research as well as a decision-support tool to monitor pre-harvest aflatoxin risk in peanuts.

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