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Data science and big data analytics: a systematic review of methodologies used in the supply chain and logistics research

Jahani, Hamed; Jain, Richa; Ivanov, Dmitry - In: Annals of Operations Research (2023), pp. 1-58

logistics (SC &L). However, the existing insights are scattered over different literature sources and there is a lack of a …

Persistent link: https://www.econbiz.de/10015168529

Performance analysis of the closed loop supply chain

Asif, Farazee MA; Bianchi, Carmine; Rashid, Amir; … - In: Journal of Remanufacturing 2 (2012), pp. 1-21

Purpose: The question of resource scarcity and emerging pressure of environmental legislations has brought a new challenge for the manufacturing industry. On the one hand, there is a huge population that demands a large quantity of commodities; on the other hand, these demands have to be met by...

Persistent link: https://www.econbiz.de/10010500504

The indigenous logistics system in Africa: The case of Nigeria, past to present

Adeleke, Adebayo - In: Logistics 6 (2022) 4, pp. 1-17

Background: Centuries after its introduction in Africa, the western-style logistics system has not replicated the same … results as it has in other parts of the world. The continent continues to grapple with poor logistics infrastructure and low …, for the development of a logistics system designed for the African socioeconomic environment and the peculiarities of the …

Persistent link: https://www.econbiz.de/10015194799

Defining the Concept of Supply Chain Management and its Relevance to Romanian Academics and Practitioners

Felea, Mihai; Albăstroiu, Irina - In: Amfiteatru Economic Journal 15 (2013) 33, pp. 74-88

The purpose of this paper is to describe an extended approach to supply chain management by exploring some of the more prevalent Supply Chain Management definitions, frameworks and terminology. As regards the methodology of our study, should be noted that it was based on content analysis of the...

Persistent link: https://www.econbiz.de/10011724803

Flexibility measurement issues in supply chain management

Bauer, Daniel; Göbl, Martin - In: Journal of Applied Leadership and Management 5 (2017), pp. 1-14

Research Question: The essential problem being analyzed in the present paper is the search for methods to assess or rather measure supply chain flexibility. Due to a multi-dimensional characteristic supply chain flexibility is particularly difficult to analyze and to evaluate with adequate...

Persistent link: https://www.econbiz.de/10011797558

An analysis on the impact of logistics on customer service

Querin, Francesco; Göbl, Martin - In: Journal of Applied Leadership and Management 5 (2017), pp. 90-103

What is the connection between Logistics, customer service and customer Satisfaction levels? What are the role and … importance of a Company’s Logistics policies on the overall Customer Experience? What is a generally acceptable response time …

Persistent link: https://www.econbiz.de/10011797563

Comparing the service levels in the European spirits market: A model for evaluating the complexity of a country in the transportation of spirits and an empirical investigation of six different European countries

Göbl, Martin; Niersbach, Barbara - In: Journal of Applied Leadership and Management 5 (2017), pp. 111-131

How can the performance of a logistic service level be measured in a consistent way, and how can the measured service level in one country be compared to another country?

Persistent link: https://www.econbiz.de/10011797566

Data-driven indirect punch wear monitoring in sheet-metal stamping processes

Unterberg, Martin; Becker, Marco; Niemietz, Philipp; … - In: Journal of Intelligent Manufacturing 35 (2023) 4, pp. 1721-1735

The wear state of the punch in sheet-metal stamping processes cannot be directly observed, necessitating the use of indirect methods to infer its condition. Past research approaches utilized a plethora of machine learning models to infer the punch wear state from suitable process signals, but...

Persistent link: https://www.econbiz.de/10015194329

Application of predictive methods to financial data sets

Habibi, Reza - In: Financial Internet Quarterly 17 (2021) 1, pp. 50-61

Financial data sets are growing too fast and need to be analyzed. Data science has many different techniques to store and summarize, mining, running simulations and finally analyzing them. Among data science methods, predictive methods play a critical role in analyzing financial data sets. In...

Persistent link: https://www.econbiz.de/10013466270

A machine learning framework towards bank telemarketing prediction

Koumétio Tékouabou, Stéphane Cédric; Gherghina, … - In: Journal of Risk and Financial Management 15 (2022) 6, pp. 1-19

The use of machine learning (ML) methods has been widely discussed for over a decade. The search for the optimal model is still a challenge that researchers seek to address. Despite advances in current work that surpass the limitations of previous ones, research still faces new challenges in...

Persistent link: https://www.econbiz.de/10014332470