scholarly journals Model-driven decision support to facilitate efficient fresh food deliveries

2020 ◽  
Vol 71 (1) ◽  
pp. 1-9
Author(s):  
Christian Fikar
Keyword(s):  
Decision Support ◽  
Optimization Methods ◽  
Research Gaps ◽  
Related Factors ◽  
Quality Models ◽  
Model Driven ◽  
Holistic Approaches ◽  
Fresh Food ◽  
Planning Procedure ◽  
Future Work

SummaryThe delivery of fresh food is challenged by various uncertainties present in daily logistics operations. To facilitate successful operations, this work reviews the recent work on model-driven decision support systems to identify research gaps and derive implications. Introduced systems in literature mainly employ simulation or optimization methods and focus on the consideration of industry specifics such as short shelf lives and the importance of efficient temperature control. Therefore, food quality models are often integrated to enable one to monitor quality throughout supply chain operations and adjust planning procedure respectively. To strengthen research, future work focusing on a stronger consideration of customer-related factors and holistic approaches considering various interdependencies present in fresh food logistics operations are required.

scholarly journals Building Model-Driven Decision Support System in Product Redesign Plan

Designs ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 18
Author(s):  
Swee Kuik ◽  
Li Diong
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Environmental Implications ◽  
Model Driven ◽  
Building Model ◽  
Product Use ◽  
Manufacturing Assembly ◽  
Operational Processes ◽  
Future Work

Product recovery strategy requires a thoughtful consideration of environmental implications of operational processes, undergone by a manufactured product in its entire product lifecycle, from stages of material processing, manufacturing, assembly, transportation, product use, product post-use and end-of-life. At the returns stream from product use stage, those parts and/or component assemblies from a used product have several disposition alternatives for recovery, such as direct reuse, remanufacture, recycle or disposal. Due to such complexity of the manufacturing processes in recovery, current decision methodologies focus on the performance measures of cost, time, waste and quality separately. In this article, an integrated decision model for used product returns stream is developed to measure the recovery of utilisation value in the aspects of cost, waste, time, and quality collectively. In addition, we proposed a model-driven decision support system (DSS) that may be useful for manufacturers in making recovery disposition alternatives. A case application was demonstrated with the use of model-driven DSS to measure recovery utilisation value for the used product disposition alternatives. Finally, the future work and contributions of this study are discussed.

scholarly journals Towards the Construction of a User Unique Authentication Mechanism on LMS Platforms through Model-Driven Engineering (MDE)

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Jhon Francined Herrera-Cubides ◽  
Paulo Alonso Gaona-García ◽  
Geiner Alexis Salcedo-Salgado
Keyword(s):  
Linked Data ◽  
Design Guidelines ◽  
Open Educational Resources ◽  
Training Process ◽  
Quality Models ◽  
Model Driven ◽  
Authentication Mechanism ◽  
Key Factor ◽  
Unified Authentication ◽  
Future Work

In LOD, authentication is a key factor in the security dimension of linked data quality models. This is the case of (a) LMS that manages open educational resources (OERs), in training process, and (b) LMS integrated platforms, which also require authenticating users. Authentication tackles a range of problems such as users forgetting passwords and time consumption in repetitive logins in different applications. In the context of linked OERs that are developed in LMS, it is necessary to design guidelines in order to carry out the authentication process. This process authorizes access to different linked resources platforms. Therefore, to provide abstraction methods for this authentication process, it is proposed to work with model-driven architecture (MDA) approach. This paper proposes a security abstraction model on LMS, based on MDA. The proposed metamodel seeks to provide a set of guidelines on how to carry out unified authentication, establishing a common dialogue among stakeholders. Conclusion and future work are proposed in order to generate authentication instances that allow access to resources managed in different platforms.

A reliable decision support system for fresh food supply chain management

2017 ◽  
Vol 56 (4) ◽  
pp. 1458-1485 ◽  
Author(s):  
Gabriella Dellino ◽  
Teresa Laudadio ◽  
Renato Mari ◽  
Nicola Mastronardi ◽  
Carlo Meloni
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
Supply Chain Management ◽  
Decision Support System ◽  
Support System ◽  
Food Supply ◽  
Food Supply Chain ◽  
Chain Management ◽  
Fresh Food

Constraints to the modelling of diet selection and intake in the grazing ruminant

1996 ◽  
Vol 47 (2) ◽  
pp. 257 ◽  
Author(s):  
H Dove
Keyword(s):  
Decision Support ◽  
Diet Selection ◽  
Point Of View ◽  
Botanical Composition ◽  
Factors Influencing ◽  
Major Constraint ◽  
Physical Chemical ◽  
Herbage Intake ◽  
Spatial Terms ◽  
Future Work

The interaction of grazing animals and their pasture generates substantial income for Australia, so that an interest in modelling the processes involved can be justified readily. Based on a brief review of the factors influencing diet selection, it is suggested that, from the point of view of modelling the process, a major constraint has been the availability of accurate and convenient methods for estimating the botanical composition of the consumed diet. It is also suggested that there is a need in future work to define more adequately the available herbage in botanical, physical, chemical and spatial terms, and to conduct experiments in which factors influencing selection are examined in an unconfounded way. It is further suggested that, while the idea of fixed preference or selection coefficients for particular species is attractive from a modelling standpoint, available evidence does not support the concept. Factors influencing herbage intake are then discussed, particularly in relation to the interaction between the degree of rumen fill and the animal's capacity to use energy. The manner in which this interaction has been used in the modelling of intake is then described briefly and the modeling of diet selection and intake within the decision-support system GrazFeed is presented by way of example. Finally, the constraints associated with model validation are discussed briefly, especially in relation to the need in future work to define more adequately the characteristics of the pasture on offer.

Model-Driven Decision Support System for Broadband Penetration in Nigeria: Smart City Challenge

2021 ◽  
pp. 349-356
Author(s):  
Cosmas Ifeanyi Nwakanma ◽  
Achimba Chibueze Ogbonna ◽  
Udoka Felista Eze ◽  
Esther Chiadikaobi Ugwueke ◽  
Christiana Chidimma Nwauzor ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Smart City ◽  
Model Driven

A critical review on automation of steering mechanism of load haul dump machine

2019 ◽  
Vol 234 (2) ◽  
pp. 160-182
Author(s):  
Sreeharsha Rowduru ◽  
Niranjan Kumar ◽  
Ajit Kumar
Keyword(s):  
Critical Review ◽  
Tracking Error ◽  
Steering System ◽  
Pictorial Representation ◽  
Research Gaps ◽  
Steering Mechanism ◽  
Different Types ◽  
Automatic Steering ◽  
Complete Automation ◽  
Future Work

This article presents a brief note on the evolution of steering mechanisms and more emphasized on articulated steering system of the load haul dump machine. In this respect, pictorial representation of the evolution of steering mechanisms for on-road and articulated steering mechanisms of the load haul dump machine is made from the available literature. Critical review on basic elements required for the complete automation of the load haul dump vehicle steering system is presented. Different types of controllers for path tracking error minimization of the scale-modeled or simulated model of the load haul dump steering system are tabulated. Few case studies stimulating the complete automation of the load haul dump steering system employed on the field are also discussed. Challenges and some research gaps in making fully automated steering system of the load haul dump machine are identified in this review article. At the end, based on the critical review, some novel methods for making the fully automated steering system of the load haul dump machine is provided, which is the potential future work for the design and development of feasible automatic steering system.

scholarly journals X-ETL: A Data-Driven Approach for Designing Star Schemas

2019 ◽  
Vol 7 (1) ◽  
pp. 4
Author(s):  
Nawfal El Moukhi ◽  
Ikram El Azami ◽  
Abdelaaziz Mouloudi ◽  
Abdelali Elmounadi
Keyword(s):  
Decision Support ◽  
Data Warehouse ◽  
Data Driven ◽  
Critical Stage ◽  
Model Driven ◽  
New Methods ◽  
Star Models ◽  
Data Driven Approach ◽  
Data Source ◽  
Warehouse Design

The data warehouse design is currently recognized as the most important and complicated phase in any project of decision support system implementation. Its complexity is primarily due to the proliferation of data source types and the lack of a standardized and well-structured method, hence the increasing interest from researchers who have tried to develop new methods for the automation and standardization of this critical stage of the project. In this paper, the authors present the set of developed methods that follows the data-driven paradigm, and they propose a new data-driven method called X-ETL. This method aims to automating the data warehouse design by generating star models from relational data. This method is mainly based on a set of rules derived from the related works, the Model-Driven Architecture (MDA) and the XML language.

scholarly journals A MODEL-DRIVEN DECISION SUPPORT SYSTEM FOR REALLOCATION OF SUPPLY TO ORDERS UNDER UNCERTAINTY IN CERAMIC COMPANIES

2015 ◽  
Vol 21 (4) ◽  
pp. 596-625 ◽  
Author(s):  
M. M. E. ALEMANY ◽  
A. A. ◽  
Andrés BOZA ◽  
Vicente S. FUERTES-MIQUEL
Keyword(s):  
Decision Support ◽  
Mathematical Programming ◽  
Decision Support System ◽  
Decision Maker ◽  
Support System ◽  
Programming Model ◽  
Decision Makers ◽  
Mathematical Programming Model ◽  
Finished Good ◽  
Model Driven

In ceramic companies, uncertainty in the tone and gage obtained in first quality units of the same finished good (FG) entails frequent discrepancies between planned homogeneous quantities and real ones. This fact can lead to a shortage situation in which certain previously committed customer orders cannot be served because there are not enough homogeneous units of a specific FG (i.e., with the same tone and gage). In this paper, a Model-Driven Decision Support System (DSS) is proposed to reassign the actual homogeneous stock and the planned homogeneous sublots to already committed orders under uncertainty by means of a mathematical programming model (SP-Model). The DSS functionalities enable ceramic decision makers to generate different solutions by changing model options. Uncertainty in the planned homogeneous quantities, and any other type of uncertainty, is managed via scenarios. The robustness of each solution is tested in planned and real situations with another DSS functionality based on another mathematical programming model (ASP-Model). With these DSS features, the ceramic decision maker can choose in a friendly fashion the orders to be served with the current homogeneous stock and the future uncertainty homogeneous supply to better achieve a balance between the maximisation of multiple objectives and robustness.

Sign in / Sign up

Export Citation Format

Share Document