Intelligent logistics: Involving the customer

McFarlane, Duncan; Giannikas, Vaggelis; Lu, Wenrong

doi:10.1016/j.compind.2015.10.002

Cited by 88 publications

(47 citation statements)

References 27 publications

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“…Customers in logistics service businesses expect excellent quality service, fast and on-time delivery with fewer logistics costs [8]. One of the ways to achieve customer satisfaction in logistics service is to deliver goods according to customer's requirement without any delay, and additional cost incurred.…”

Section: Customer Service Effectiveness Communication Infrastructurementioning

confidence: 99%

Customer Services and Its Efficiency Level of 3rd Party Logistics Companies

Abdullah*¹,

Razi²,

Taib³

et al. 2019

IJITEE

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This research explores the function of Customer Service (CS) in Third-Party Logistics (3PL) companies and their efficiency levels. Many 3PL companies rely on the performance of its CS department as the windows of contact between external customers and internal customers. Despite the critical function of CS in 3PL companies, less attention is given on the development and progress of the CS area. Poor CS performance leads to miscommunication among internal departments, suppliers and worst its customers. This situation, if prolonged, will give a high toll in operations cost and the company’s reputation in the industry. While companies with excellent CS team retain, more extended customers’ relationship and support derived from reliable services and trust experienced by customers with less additional or unexpected operations cost occurrence. The first objective of this study is to identify the factors influencing the CS efficiency and the second objective determined the level of efficiency of CS in 3PL companies. A thorough archival data were compiled and observed from previous studies conducted in this field. Interviews were conducted with selective respondents from 3PL companies located in Johor Bahru to measure CS efficiency. The findings of this research revealed each companies’ CS team performance and recommended areas for future improvements.

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Section: Customer Service Effectiveness Communication Infrastructurementioning

confidence: 99%

Customer Services and Its Efficiency Level of 3rd Party Logistics Companies

Abdullah*¹,

Razi²,

Taib³

et al. 2019

IJITEE

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“…Logistics can be defined as process of managing the procurement, storage and movement of goods along with the related information flow to maximize the profit of the organization through cost effective fulfillment of orders. Logistics has been identified as a core element of supply chain management [21]. The aim of the Logistics is to serve the customers in a cost effective way.…”

Section: Sustainable Smart Logisticsmentioning

confidence: 99%

A Review on Data Analytics for Supply Chain Management: A Case study

Anitha¹,

Patil²

2018

IJIEEB

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The present study bridges the gap between the two intersecting domains, data science and supply chain management. The data can be analyzed for inventory management, forecasting and prediction, which is in the form of reports, queries and forecasts. Because of the price, weather patterns, economic volatility and complex nature of business, the forecasts may not be accurate. This has resulted in the growth of Supply chain analytics. It is the application of qualitative and quantitative methods to solve relevant problems and to predict the outcomes by considering quality of data. The issues like increased collaboration between companies, customers, retailers and governmental organizations, companies are adopting Big Data solutions. Big Data applications can be linked for Supply Chain Management across the fields like procurement, transportation, warehouse operations, marketing and also for smart logistics. As supply chain networks becoming vast, more complex and driven by demands for more exacting service levels, the type of data that is managed and analyzed also becomes more complex. The present work aims at providing an overview of adoption of capabilities of Data Analytics as part of a "next generation" architecture by developing a linear regression model on a sales-data. The paper also covers the survey of how big data techniques can be used for storage, processing, managing, interpretation and visualization of data in the field of Supply chain.

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“…W kontekście omawianego problemu rozwoju inteligentnych sieci logistycznych bardzo istotna jest kwestia trwałości relacji w ramach klastra, na którą zwraca uwagę L. Knop, analizując doświadczenia Doliny Krzemowej. Otwartość oraz zrozumienie cyklu życia produktów i technologii jest kluczem do zapewnienia trwałości klastra, opartej w większym stopniu na zaufaniu niż na 200 M. Krannich, S. Olko fundamentach formalnych czy technologicznych 12 . Sieci logistyczne wykorzystują w szczególności infrastrukturę techniczną, która na pewno jest czynnikiem zespalającym członków klastra występujących w układach dostawca-odbiorca.…”

Section: Europejskie Klastry W Sektorze Lotniczymunclassified

“…W dalszej części przedstawiono charakterystyki poszczególnych klastrów, wskazując na wyzwania logistyki pomiędzy członkami klastra. 12 Knop …”

Section: Europejskie Klastry W Sektorze Lotniczymunclassified

Prerequisites for development of smart logistics networks in European aerospace clusters

Krannich¹,

Olko²

2017

SPSUTOM

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PRZESŁANKI ROZWOJU INTELIGENTNYCH SIECI LOGISTYCZNYCH W EUROPEJSKICH KLASTRACH LOTNICZYCH Niniejszy artykuł autorzy dedykują Profesorowi Józefowi Bendkowskiemu, z okazji jubileuszu 50-lecia pracy naukowej i dydaktycznej, z podziękowaniem za naukowe inspiracje i możliwość wieloletniej współpracyStreszczenie. Artykuł przedstawia analizę przesłanek wprowadzenia i rozwoju inteligentnych sieci logistycznych w klastrach lotniczych. Analizy przeprowadzono dwutorowo: z jednej strony przedstawiono teoretyczne przesłanki wdrożenia i rozwoju inteligentnych sieci logistycznych, wskazując najważniejsze wyróżniki inteligentnych sieci logistycznych, a z drugiej -dane empiryczne związane z charakterystyką sektora lotniczego oraz studium 4 przypadków wybranych klastrów lotniczych funkcjonujących w Europie.Słowa kluczowe: inteligentne sieci logistyczne, klastry, przemysł lotniczy PREREQUISITES FOR DEVELOPMENT OF SMART LOGISTICS NETWORKS IN EUROPEAN AEROSPACE CLUSTERSAbstract. In the paper the analysis of prerequisites for development of smart logistics networks in aerospace clusters. The analysis have been carried in two directions: from one hand the theoretical prerequisites have been presented, pointing the features of smart logistics networks; form the other hand the empirical data concerning the aerospace sector as well as analysis of 4 cases of selected aerospace clusters operating in Europe have been presented.

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Intelligent logistics: Involving the customer

Cited by 88 publications

References 27 publications

Customer Services and Its Efficiency Level of 3rd Party Logistics Companies

Customer Services and Its Efficiency Level of 3rd Party Logistics Companies

A Review on Data Analytics for Supply Chain Management: A Case study

Prerequisites for development of smart logistics networks in European aerospace clusters

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