A methodology to support decision-making on sugar distribution for export channel: A case study of Thai sugar industry

2008 ◽  
Vol 64 (2) ◽  
pp. 248-261 ◽  
Author(s):  
N. Chiadamrong ◽  
R. Kawtummachai
Safety ◽  
2019 ◽  
Vol 5 (4) ◽  
pp. 69
Author(s):  
Burggraaf ◽  
Groeneweg ◽  
Sillem ◽  
van Gelder

The field of safety and incident prevention is becoming more and more data based. Data can help support decision making for a more productive and safer work environment, but only if the data can be, is and should be trusted. Especially with the advance of more data collection of varying quality, checking and judging the data is an increasingly complex task. Within such tasks, cognitive biases are likely to occur, causing analysists to overestimate the quality of the data and safety experts to base their decisions on data of insufficient quality. Cognitive biases describe generic error tendencies of persons, that arise because people tend to automatically rely on their fast information processing and decision making, rather than their slow, more effortful system. This article describes five biases that were identified in the verification of a safety indicator related to train driving. Suggestions are also given on how to formalize the verification process. If decision makers want correct conclusions, safety experts need good quality data. To make sure insufficient quality data is not used for decision making, a solid verification process needs to be put in place that matches the strengths and limits of human cognition.


Author(s):  
Shereen Morsi

Given the significant growth in electronic commerce, firms are seeking technological innovations and innovative capabilities to deal concurrently with the data’ volume generated and gaining insights from it for better decisions. Although recent studies identify predictive analytics as becoming the keystone of all business decision making and a crucial aspect in firms by it is a possible means for driving strategic decisions. Significant inroads into the interrelationships between capabilities and the execution of a pathway to an analytical capability to many Egyptian e-commerce businesses have yet to be made. Therefore, this paper aims to shed light on the importance and the role of using predictive analytics models in the Egyptian e-commerce firms where these tools became dominant resources for gaining valuable knowledge for better decision making by precautionary measures from prediction rates and different applications that have been applied by global e-commerce firms. The aim of the paper was achieved by building a predictive analytics model for sales forecasting by tackling to one of the e-commerce company in Egypt, and the online transaction dataset has been analyzed. The result obtained from the model has been displayed, and some insights extracted from the prediction model have been explained.


Author(s):  
Olga Rosignoli ◽  
Barbara Scala ◽  
Daniele Treccani ◽  
Andrea Adami ◽  
Laura Taffurelli ◽  
...  

The scientific community is confirming the advantages of using BIM in the processes of conservation, management, and intervention over architectural historical heritage. However, many difficulties remain in the transcription process of elements of the built environment, especially when the objective of the model is to support decision-making processes in restoration  operations. Even for apparently simple elements the procedures are not trivial; the need to define the most adequate operational strategies remains. In the context of this study, a possible approach concerning the documentation of a coffered ceiling has been proposed, a case study which takes into consideration the need to discretize information (to make it effective, transmissible, and understandable) and the potential offered by the combined use of further software automatization.


2019 ◽  
Vol 11 (9) ◽  
pp. 2507 ◽  
Author(s):  
Patricia Tzortzopoulos ◽  
Ling Ma ◽  
João Soliman Junior ◽  
Lauri Koskela

The UK government made significant commitments to upgrading the energy efficiency of seven million British homes by 2020, aiming at reducing carbon emissions and addressing fuel poverty. One alternative to achieve better energy performance in existing houses is retrofit. However, there are difficulties associated with retrofitting social housing. It is currently challenging to compare scenarios (retrofit options) considering costs, potential energy efficiency gains, and at the same time minimising disruption to users. This paper presents a Building Information Modelling (BIM) protocol aimed to support decision making by social housing owners. It adopts BIM to simulate alternative retrofit options, considering: (a) potential reductions in energy consumption, (b) 4D BIM for retrofit planning and reduction of users’ disruption and (c) simulation of costs. A what-if scenario matrix is proposed to support decision making in the selection of social housing retrofit solutions, according to client and users’ needs. A case study of the retrofit of a mid-terrace house is presented to demonstrate the workflow. The main output of the work is the BIM protocol, which can support client decision making in diverse social housing retrofit projects, considering all three elements (energy simulation, planning for reduced disruption and cost estimation) in an integrated fashion. Such an integrated approach enables clients to make better informed decisions considering diverse social housing retrofit options through a simple process using readily available BIM technology.


DYNA ◽  
2018 ◽  
Vol 85 (204) ◽  
pp. 356-363
Author(s):  
Nelson Javier Tovar-Perilla ◽  
Helga Patricia Bermeo-Andrade ◽  
José Fidel Torres-Delgado ◽  
Miguel Ignacio Gómez

Los países en desarrollo y aquellos con tradición agrícola tienen entre sus prioridades gubernamentales el diseño e implementación de planes de mejora para aumentar la productividad en este sector. La priorización de esos planes tiende a basarse en la evaluación de indicadores de producción, dejando de lado aspectos logísticos clave como transporte, manipulación, embalaje, entre otros. Por esta razón, este trabajo propone una metodología multicriterio, basada en el método de expertos y el método de planificación del desarrollo tecnológico en cadenas agroindustriales propuesto por ISNAR, que estiman el índice de potencial logístico (LPi) y el índice de nivel de competitividad (LCi). El análisis conjunto de ambos indicadores permitió priorizar los productos en una matriz denominada matriz de priorización. La metodología fue validada en un caso de estudio a través de la priorización de productos hortícolas y frutales en cinco zonas del Tolima - Colombia para asignar recursos con el fin de implementar estrategias logísticas.


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