An integrated location–transportation problem under value-added tax issues in pharmaceutical distribution planning

Jalal, Aura Maria; Toso, Eli Angela Vitor; Tautenhain, Camila S.P.; Nascimento, Mariá C. V.

doi:10.1016/j.eswa.2022.117780

Cited by 11 publications

(4 citation statements)

References 44 publications

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“…The facility allocation problem aims to find the optimal placement of facilities that minimizes costs, maximizes service levels, and improves overall supply chain performance (Amin-Tahmasbi et al, 2023). The problem considers various factors such as facility coverage, facility attractiveness in terms of transportation distance, transportation costs, product availability, inventory costs, facility capacities, customer demand patterns, and service requirements (Jalal et al, 2022), (Chauhan et al, 2019), (Zahraee et al, 2020), (Che et al, 2022). Thus, the facility allocation problem is a complex optimization problem involving multiple objectives and constraints.…”

Section: Literature Reviewmentioning

confidence: 99%

Web Semantic-Based MOOP Algorithm for Facilitating Allocation Problems in the Supply Chain Domain

Lin,

Rahaman,

Moslehpour

et al. 2023

International Journal on Semantic Web and Information Systems

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The facility allocation of the supply chain is critical since it directly influences cost efficiency, customer service, supply chain responsiveness, risk reduction, network optimization, and overall competitiveness. When enterprises deploy their facilities wisely, they may achieve operational excellence, exceed customer expectations, and obtain a competitive advantage in today's volatile business climate. Due to this reason, a multi-objective facility allocation problem is introduced in this research with cooperative-based multi-level backup coverage considering distance-based facility attractiveness. The facility of the coverage is further described as two different layers of the coverage process, where demand can be covered as full, partial, and no coverage by their respective facilities. The main objectives of this facility allocation problem are to maximize the coverage of the facility to maximize overall facility coverage in the supply chain network and simultaneously minimize the overall cost.

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Section: Literature Reviewmentioning

confidence: 99%

Web Semantic-Based MOOP Algorithm for Facilitating Allocation Problems in the Supply Chain Domain

Lin,

Rahaman,

Moslehpour

et al. 2023

International Journal on Semantic Web and Information Systems

View full text Add to dashboard Cite

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“…Value-added Tax According to (Hoseini & Briand, 2020;Jalal et al, 2022) define: "Value Added Tax is a tax imposed on the delivery of BKP (Taxable Goods) or JKP (Taxable Services) carried out by PKP (Taxable Entrepreneurs) within the customs area or on the import of BKP". The elements contained in VAT are: 1.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis of the Imposition of VAT on Business Through E-Commerce at KPP Bekasi Utara in 2021

Santoso

Julia

2022

ijjm

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The development of the internet has created a new business, namely electronic commerce which has turned conventional commerce into an electronic-based business. Electronic commerce has taken away the efficiency of the market so that a business with a new dimension is formed. Electronic commerce can provide additional state revenue so that the government issues regulations regarding the collection of VAT on trade transactions through the electronic system. Objective: To analyzing the implementation of VAT collection on trade through an electronic system in an effort to increase tax revenue at KPP Pratama Bekasi Utara based on an analysis of the implementation, the obstacles faced, and the efforts made to overcome these obstacles. Methods: This research was descriptive qualitative. The data collection methods were Observation, Documentation, and interviews. Result: the implementation of VAT on Trading Through Electronic Systems in an Effort to Increase Tax Revenue at KPP Pratama Bekasi Utara has not been implemented optimally, because not all PMSE business actors know and apply regulations regarding VAT collection on PMSE transactions.

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“…Yingyi and colleagues [ 10 ] enhanced the one-dimensional target constraint location model, proposing a multi-factor constrained P-median model that accounts for operating costs and employing the Particle Swarm Algorithm and Immune Genetic Algorithm to identify an optimal location. Jalal and others [ 11 ] proposed a multi-product, multi-period, multi-mode network design and distribution planning decision-making mathematical model that includes the flow of high-value goods, transportation modes, freight types, fleet size, and escort services, introducing a local branching mathematical method that leverages the hierarchical problem structure. Regal and colleagues [ 12 ] introduced a method to define zoning procedures based on socio-economic, spatial, and logistical intensity variables, aiding in urban characteristic description and comparison of their outcome profiles, thereby supporting ongoing work on urban features and urban logistics geography.…”

Section: Introductionmentioning

confidence: 99%

Logistics Center Selection and Logistics Network Construction from the Perspective of Urban Geographic Information Fusion

Ma,

Zheng,

Liang

et al. 2024

Sensors

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The last-mile logistics in cities have become an indispensable part of the urban logistics system. This study aims to explore the effective selection of last-mile logistics nodes to enhance the efficiency of logistics distribution, strengthen the image of corporate distribution, further reduce corporate operating costs, and alleviate urban traffic congestion. This paper proposes a clustering-based approach to identify urban logistics nodes from the perspective of geographic information fusion. This method comprehensively considers several key indicators, including the coverage, balance, and urban traffic conditions of logistics distribution. Additionally, we employed a greedy algorithm to identify secondary nodes around primary nodes, thus constructing an effective nodal network. To verify the practicality of this model, we conducted an empirical simulation study using the logistics demand and traffic conditions in the Xianlin District of Nanjing. This research not only identifies the locations of primary and secondary logistics nodes but also provides a new perspective for constructing urban last-mile logistics systems, enriching the academic research related to the construction of logistics nodes. The results of this study are of significant theoretical and practical importance for optimizing urban logistics networks, enhancing logistics efficiency, and promoting the improvement of urban traffic conditions.

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An integrated location–transportation problem under value-added tax issues in pharmaceutical distribution planning

Cited by 11 publications

References 44 publications

Web Semantic-Based MOOP Algorithm for Facilitating Allocation Problems in the Supply Chain Domain

Web Semantic-Based MOOP Algorithm for Facilitating Allocation Problems in the Supply Chain Domain

Analysis of the Imposition of VAT on Business Through E-Commerce at KPP Bekasi Utara in 2021

Logistics Center Selection and Logistics Network Construction from the Perspective of Urban Geographic Information Fusion

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