Integrating Analytics Through the Big Data Information Chain: A Case From Supply Chain Management

Abstract

T he benefits of good decision making by a distributor often have broad leverage across a supply chain, and data science provides a comprehensive framework for making this possible. We present a case study of an ongoing partnership between the authors and corporate managers at a distributor of heating, ventilating, and air-conditioning products. We describe in detail the "vertical integration" of our analytical tools through a long chain of data scientific activities, backward to raw data, and forward to visually appealing output, in an organization with legacy information technology infrastructure. The models are applied to a large-scale data set, and spreadsheet-based decision support tools that include useful visualization capabilities for the firm are illustrated. We also offer this case as a blueprint for building a collaborative research relationship between academia and industry.

Examining the role of logistics 4.0 enabled dynamic capabilities on firm performance

“…Literature indicates that information technology capability metric is influenced by manpower capability, IT application intensity, supplier firms' information technology utilisation intensity and internal capability (e.g. Hamister et al , 2018; Hopkins and Hawking, 2018; Pan et al , 2019).…”

The Algorithm of a Game-Based System in the Relation between an Operator and a Technical Object in Management of E-Commerce Logistics Processes with the Use of Machine Learning

“…Based on the above-mentioned considerations and general statements [ 36 , 37 ], it is possible to state that the notion of a game-based system can be expressed with the use of its semantic model which is a set-theoretic model. Hence, a model of the (GS) notion can be the following system of notions [ 33 ]: where GA —Is a game-based algorithm; S A ( t )—is a set of possible strategies of the A entity in the (GS) at the particular moment ; S B ( t )—is a set of possible strategies of the B entity in the (GS) at the particular moment ; —is a set of mixed strategies of the A entity in the (GS) at the particular moment ; —is a set of mixed strategies of the B entity in the (GS) at the particular moment ; —is the level of the payoff obtained by the A entity if the A entity applies the strategy and the B entity applies the strategy in (GS); —is the level of the payoff obtained by the B entity if the B entity applies the strategy and the A entity applies the strategy in the (GS); and R —is the set of relations observed among the elements in the (GS).…”

“…Based on the above-mentioned considerations and general statements [36,37], it is possible to state that the notion of a game-based system can be expressed with the use of its semantic model which is a set-theoretic model. Hence, a model of the (GS) notion can be the following system of notions [33]:…”

Exploring Big Data Research: A Review of Published Articles from 2010 to 2018 Related to Logistics and Supply Chains

“…Bohács and Rinkács (2016) purely performed data visualization to analyze and model the complex systems. To make a good decision in a distributor company, Hamister et al (2018) integrated data visualization, optimizing modeling, and forecasting safety stock using real data. To improve the value density of raw data is a crucial step that allows analysis to acquire meaningful data, including optimization using data in the real world.…”