A framework of performance indicators used in the governance of logistics platforms: the multiple-case study

Silva, Rafael Mozart da; Senna, Eliana Terezinha Pereira; Lima, Orlando Fontes; Senna, Luiz Afonso dos Santos

doi:10.1590/2238-1031.jtl.v9n1a1

Cited by 7 publications

(9 citation statements)

References 16 publications

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“…-A propose an individual KPI and PI record sheet where a more detailed description and usage recommendations are presented. Silva et al (2015) From the qualitative and quantitative analysis of the interviews, a set of 27 performance indicators that can be used in governance of logistics platforms was obtained. The indicators are contained in six dimensions ……”

Section: Domingues Et Al (2015)mentioning

confidence: 99%

“…One of the objectives of logistics is to guarantee the efficiency and effectiveness of production processes from the origin to the final customer, paying attention to the quality required by the customer, ensuring the reliability of information and the flexibility to meet their needs (Domingues et al, 2015). The activities that converge towards the objectives of logistics are, according to Silva et al (2015), from storage, handling, consolidation and deconsolidation (picking), as well as production scheduling.…”

Section: Introductionmentioning

confidence: 99%

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Logistic performance assessment systems: Structuring, challenges and development opportunities

Santos

Nunes²,

Melo

et al. 2020

BJO&PM

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Goal: The purpose of this article is to encourage discussion on the basic structuring of a logistics performance assessment system, as well as the challenges and opportunities identified in the development and implementation of new proposals. Design / Methodology / Approach: A systematic literature review was adopted as a research strategy, based on a protocol adapted to the theme of this research. The bases searched were Scopus, Web of Science, Scielo and Science Direct. Results: It was possible to identify a basic structure for the elaboration of a logistic performance evaluation system. In addition, a number of opportunities for developing the theme were observed, as well as the respective challenges to be overcome. Limitations of the investigation: One of the limitations found was that the databases chosen did not always have articles available in their entirety, five of them were not available. Practical implications: It is believed that this research can serve as a reference for researchers who are interested in proposing performance evaluation systems in the context of logistics, contributing to an initial understanding of its structure and highlighting the possible implementation challenges. Originality / Value: According to the bases surveyed, this is the first survey that sought to identify the structure of the logistic performance assessment systems with a focus on business logistics.

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Section: Domingues Et Al (2015)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Logistic performance assessment systems: Structuring, challenges and development opportunities

Santos

Nunes²,

Melo

et al. 2020

BJO&PM

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“…Focus of the existing studies has been on perception and performance of shippers or their representatives (Silva et al ., 2014; Van Den Berg and De Langen, 2015; Wang et al ., 2014), but perception alone did not seem to aid in identifying the cause of the problem as it did not capture the view of the intermediaries, their backward and forward linkages and their service providers. Different optimization techniques like mixed integer linear programming, bi-objective linear programming and sensitivity analysis have been applied at one node or single arm in the multimodal transportation chain (see; Assadipour et al ., 2015; Bruns et al ., 2014; Choong et al ., 2002; Sun and Lang, 2015).…”

Section: Introductionmentioning

confidence: 99%

Design of service network for containerized export by multimodal transportation: with quality concept

Dua

Chhabra

Sinha

2023

BIJ

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PurposeThe first purpose is to assess the quality of containerized multimodal export and the second is to develop and demonstrate the design of a service network with quality approach.Design/methodology/approachThe article used the structural equation model to develop a model to measure the quality of multimodal transportation for containerized exports and finalized the model with an alternative approach. The evolutionary algorithm had been used to design a service network based on quality.FindingsProvided factors affecting quality of multimodal transportation and reverse to one hypothesis, the construct variation in cost, time shape and quantity did not affect the quality of multimodal transportation for containerized exports. The model without variation construct was finalized by exploring causality.Research limitations/implicationsThis research had scope till container loading onto the vessel and assessed the quality for containerized cargo only, and second research purpose is limited by assumed values of fitness function and the limited number of nodes, in service network design demonstration.Practical implicationsThis research provided a tool to measure the quality of multimodal transportation for containerized exports and demonstrated the field application of the model developed in service network design. This approach included all factors applicable across the container movement. The integrated approach of the article provided an organized method to design a service network for containerized exports.Originality/valueThis work provided the tool to assess the quality of multimodal transportation for containerized exports and developed an approach to design a service network of multimodal transportation based on quality. This approach has considered the factors of multimodal transportation comprehensively in contrast to the optimization approaches based on operation research techniques.

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“…-The first one by Silva, et al (2015) on "A framework of performance indicators used in the governance of logistics platforms: The multiple-case study"…”

Section: ) Business Scenario Analysis and Case Studymentioning

confidence: 99%

“…Consequently, several research methods greatly increase the value of future analysis and research in social sciences including business (Glenn & Gordon, 2009), especially in present and future planning, strategic planning and management approaches (Mckelvey, 2014). Those methods consisted of a) a quite practical and well-known scenario analysis which is appropriate for the multiple future analyses and strategic planning management in the uncertain world (Glenn & Gordon, 2009;Mandel & Wilson, 1993;Mckelvey, 2014;Vargas et al, 2014;Walker et al, 2012) including strategic scenario analysis for studying strategic planning management, using qualitative and strategic approaches (JSB Intelligence, 2005;Mandel & Wilson, 1993;Mazzarino, 2012); b) an explorative and descriptive approach in a small or large scale (Langley, 2014;Lee, 2001) or even in a "Big Data" scale (Biiedrman, 2013) including Delphi techniques (Terbeck, 2014); and c) multiple case study (Silva et al, 2015).…”

Section: Scenario Researchmentioning

confidence: 99%

Strategic Fit for Outsourcing of Pharmaceutical Manufacturing: A Scenario Study in Thailand

Apithamsoonthorn

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Outsourcing is recognized as one of the critical factors for efficient execution of pharmaceutical supply chain management, many pharmaceutical companies engage in international outsourcing of services (IOS) to survive in global highly competitive business. Since the key success factors for both domestic & international alliances are partnership characteristics and strategic fit management, but there is no empirical research on this issue in Thai pharmaceutical partnership offshore outsourcing. Therefore, this survey of Thai and foreign companies, both contract providers (CPs) and contract manufacturers (CMs), seeks to indicate significant relationships among both outsourcing strategic fit type and partnership type, including outsourcing performance outcome. This research is two-fold. First, the partnership types (type I, II, & III), the strategic fit types (low fit, moderate fit, & good fit), and their correlations are analyzed. And second, their outsourcing performance (company revenues and growth rates) are presented. The results showed that most of the Thai pharmaceutical outsourcing manufacturing relationships are classified as the partnership type II, as well as the moderate strategic fit, and strongly support the relationship between these two models. However, it is not necessary that the most integrative type of partnership, Type III, will be always the best, because it depends also on the strategic fit between each pair of partners as well. The company revenue and growth rate could predict the company performance outcomes for each of partnership type and strategic fit type. In Thailand, the government policies and strategic goals are the key success factors in this industry.

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A framework of performance indicators used in the governance of logistics platforms: the multiple-case study

Cited by 7 publications

References 16 publications

Logistic performance assessment systems: Structuring, challenges and development opportunities

Logistic performance assessment systems: Structuring, challenges and development opportunities

Design of service network for containerized export by multimodal transportation: with quality concept

Strategic Fit for Outsourcing of Pharmaceutical Manufacturing: A Scenario Study in Thailand

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