Managing Disruptions and the Ripple Effect in Digital Supply Chains: Empirical Case Studies

2019 ◽  
pp. 261-285
Author(s):  
Ajay Das ◽  
Simone Gottlieb ◽  
Dmitry Ivanov
Keyword(s):  
Supply Chains ◽  
Case Studies ◽  
Ripple Effect ◽  
Empirical Case Studies

Supply chain resilience

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Cutting Edge ◽  
Content Type ◽  
Supply Chain Resilience ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings COVID-19 has had a dramatic and damaging effect on supply chains and distributors. This briefing considers why, and what strategies there may be to cope. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Media Pseudologies

Glimpse ◽  
2021 ◽  
Vol 22 (1) ◽  
pp. 70-75
Author(s):  
Tirtha Prasad Mukhopadhyay ◽  
Keyword(s):  
Case Studies ◽  
Information Society ◽  
Patterns Of Behavior ◽  
Survival And Growth ◽  
Media Conglomerates ◽  
Empirical Case Studies

In this article, the author seeks to understand how any information society generates clusters of information that act to secure and reinforce ecologies of consumption for media conglomerates and its circle of consumers. Empirical case studies would show that news information may not be based in the larger realities of all the players involved. Societies may be described in such situations as desiring their ends by means of segmented branching, but more empirically, by imperatives of survival and growth. Pseudology comprise the only sustaining principle of discourse for such a world immersed and fragmented by its local interests and their recognizable patterns of behavior as they are retrospectively conditioned by media.

Forecasting Demand With Support Vector Regression Technique Incorporating Feature Selection in the Presence of Calendar Effect

2018 ◽  
pp. 302-316 ◽  
Author(s):  
Malek Sarhani ◽  
Abdellatif El Afia
Keyword(s):  
Time Series ◽  
Feature Selection ◽  
Supply Chains ◽  
Support Vector Regression ◽  
Case Studies ◽  
Time Series Forecasting ◽  
Regression Technique ◽  
Support Vector ◽  
Reliable Prediction ◽  
Forecasting Methods

Reliable prediction of future demand is needed to better manage and optimize supply chains. However, a difficulty of forecasting demand arises due to the fact that heterogeneous factors may affect it. Analyzing such data by using classical time series forecasting methods will fail to capture such dependency of factors. This chapter addresses these problems by examining the use of feature selection in forecasting using support vector regression while eliminating the calendar effect using X13-ARIMA-SEATS. The approach is investigated in three different case studies.

Part III: Empirical case studies

2017 ◽  
pp. 107-234
Author(s):  
Philipp Lange
Keyword(s):  
Case Studies ◽  
Empirical Case Studies

Multilayered Distribution System in India

2012 ◽  
pp. 116-145
Author(s):  
Sumeet Gupta ◽  
Tushar Agrawal ◽  
Priyanka Jain ◽  
Dolly Jaisinghani ◽  
Ritika Rathi
Keyword(s):  
Supply Chains ◽  
Case Studies ◽  
Distribution System ◽  
Distribution Systems ◽  
Pharmaceutical Products ◽  
Efficient Solutions ◽  
Electronic Products ◽  
Multilayered System ◽  
Perishable Goods ◽  
To Come

This chapter presents several case studies of the multilayered system in India and shows how the prevalent distribution system preclude any means of cost reduction and making these supply chains efficient. Supply chains of perishable goods, electronic products, FMCG products and Pharmaceutical products are discussed in this chapter. Each of these supply chains present unique challenges and issues that need attention. The three main objectives in these studies are to understand the distribution systems as well as cost economics of the supply chains, identify potential conflicts and issues in their distribution system, and to study the effect of macro-environment on the distribution system. Apart from these objectives, these cases are also meant to prepare those venturing into such supply chains to come up with efficient solutions for improving these supply chains.

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