Establishing the relationship between logistics complexity and supply chain objectives and decision areas in large companies operating in Brazil

Corrêa, Henrique Luiz; Hijjar, Maria Fernanda

doi:10.12660/joscmv3n1p34-54

Cited by 7 publications

(9 citation statements)

References 76 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Hypothesis 7: Forecasting in uences LMIS effectiveness Forecasting involves planning of SCM activities to improve SCM practices. According to this study that compared the relationship between Logistics and supply chain objectives [22], it was con rmed that forecasting was signi cantly related to supply chain performance.…”

Section: Hypothesis 5: Service Quality In Uence Lmis Effectivenessmentioning

confidence: 88%

Factors Influencing the Effectiveness of Logistics Management Information Systems on Drugs Supply Chain Management in Sierra Leone

Kamara

Kalinga

2022

Preprint

View full text Add to dashboard Cite

Background: Logistics Management Information System (LMIS) was introduced in Sierra Leone to improve drug supply management and provide accurate information that can be used for planning and resources allocation. The system managed drugs supplies, but this system is being influenced by factors to enhance effective drugs supply management. Methodology: The study examined factors considered to influence LMIS effectiveness on drugs supplies management, using the conceptual framework model. Purposive and sequential exploratory means of data collection through self-administered questionnaires was employed. Results: The study identified eleven factors and only four (Forecasting, Logistics, Information Quality and Production) have significant influence on LMIS effectiveness on drugs supply management. Conclusion:The study showed four factors having positive and statistically significant effect on LMIS effectiveness on drugs supply management. Therefore, strengthening these factors would significantly improve LMIS effectiveness on drugs supply management in Sierra Leone.

show abstract

Section: Hypothesis 5: Service Quality In Uence Lmis Effectivenessmentioning

confidence: 88%

Factors Influencing the Effectiveness of Logistics Management Information Systems on Drugs Supply Chain Management in Sierra Leone

Kamara

Kalinga

2022

Preprint

View full text Add to dashboard Cite

show abstract

“…Hypothesis11: Production in uences LMIS effectiveness Good products aid to increase customers' demand. A study [22] observed that production leads to the receptiveness of fast delivery of nal product to the customer.…”

Section: Hypothesis 5: Service Quality In Uence Lmis Effectivenessmentioning

confidence: 99%

Assessing Factors Influencing the Effectiveness of Logistics Management Information Systems on Drugs Supply Chain management in Sierra Leone

Kamara¹,

Kalinga²

2022

Preprint

View full text Add to dashboard Cite

Background: Logistics Management Information System (LMIS) was introduced in Sierra Leone to improve drug supply management and provide accurate information that can be used for planning and resources allocation. The system managed drugs supplies, but this system is being influenced by factors to enhance effective drugs supply management. Methodology: The study examined factors considered to influence LMIS effectiveness on drugs supplies management, using the conceptual framework model. Purposive and sequential exploratory means of data collection through self-administered questionnaires was employed. Results: The study identified eleven factors and only four (Forecasting, Logistics, Information Quality and Production) have significant influence on LMIS effectiveness on drugs supply management. Conclusion: The study showed four factors having positive and statistically significant effect on LMIS effectiveness on drugs supply management. Therefore, strengthening these factors would significantly improve LMIS effectiveness on drugs supply management in Sierra Leone.

show abstract

“…In the categorization of the decisions that VA systems are intended to support, we have also used the SC decision area categorization provided by Wanke et al [40]. These authors provided the most relevant decision areas of the SC management based on the literature.…”

Section: A Va Application Areas Decisions and Required Datamentioning

confidence: 99%

“…On the other hand, the SCOR model activities are encompassing the SC processes' decisions and the presentation of our results based on this model provides a supplementary categorization for the decision areas. Therefore, the categorization of the decisions can be observed from two dimensions, first, the SCOR model activities, and second, the decision area categorization provided by Wanke et al [40]. Figure 2 shows the categorization of the studies into different decision areas provided by Wanke et al…”

Section: A Va Application Areas Decisions and Required Datamentioning

confidence: 99%

Visual Analytics for Decision Support: A Supply Chain Perspective

2021

View full text Add to dashboard Cite

Supply chain (SC) activities generate huge amount of data that can be used in decision making processes. However, proper data analytics techniques are required to combine, organize, and analyze data from different sources and produce required insights available for decision makers. These techniques promote analytical reasoning of the events and patterns hidden in the data using visualizations, so-called Visual Analytics (VA). Although there is a large number of VA systems to facilitate the process of analysis and decision making, there is a lack of an adequate overview of what already exists in this area for SC management. To address that need, we conducted a systematic literature review to analyze the state of the art in SC VA systems. Particularly, we focus on use cases, the type of the decisions that a VA system intended to support, the type of visualizations employed, the type of analytics used, and the data that has been used for analysis. The goal of this study is to provide SC and VA researchers with an overview of the works carried out in the field of SC VA, helping them to observe latest trends and to recognize existing gaps that need further investigation. Consequently, a mapping between decisions of various SC business processes and their reciprocal visualization techniques and tactics have been provided. Adding to that, VA applications and use cases in SC are identified based on the SC Operation Reference (SCOR) model and underlying decision areas are recognized.

show abstract

Establishing the relationship between logistics complexity and supply chain objectives and decision areas in large companies operating in Brazil

Cited by 7 publications

References 76 publications

Factors Influencing the Effectiveness of Logistics Management Information Systems on Drugs Supply Chain Management in Sierra Leone

Factors Influencing the Effectiveness of Logistics Management Information Systems on Drugs Supply Chain Management in Sierra Leone

Assessing Factors Influencing the Effectiveness of Logistics Management Information Systems on Drugs Supply Chain management in Sierra Leone

Visual Analytics for Decision Support: A Supply Chain Perspective

Contact Info

Product

Resources

About