Exploring systemic factors creating uncertainty in complex engineer-to-order supply chains: case studies from Norwegian shipbuilding first tier suppliers

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.

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

Contemporary Approaches and Strategies for Applied Logistics - Advances in Logistics, Operations, and Management Science ◽

10.4018/978-1-5225-5273-4.ch012 ◽

2018 ◽

pp. 302-316 ◽

Cited By ~ 7

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.

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Planning of Supply Chains Threatened by Extreme Events: Novel Heuristic and Application to Industry Case Studies

Computer Aided Chemical Engineering - 29th European Symposium on Computer Aided Process Engineering ◽

10.1016/b978-0-12-818634-3.50140-5 ◽

2019 ◽

pp. 835-840

Author(s):

Michael Ehrenstein ◽

Chi-Hsiang Wang ◽

Gonzalo Guillén-Gosálbez

Keyword(s):

Supply Chains ◽

Case Studies ◽

Extreme Events

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Multilayered Distribution System in India

Cases on Supply Chain and Distribution Management ◽

10.4018/978-1-4666-0065-2.ch006 ◽

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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Managing complexity through integrative tactical planning in engineer-to-order environments: insights from four case studies

Production Planning & Control ◽

10.1080/09537287.2020.1837937 ◽

2020 ◽

pp. 1-18

Author(s):

Hafez Shurrab ◽

Patrik Jonsson ◽

Mats I. Johansson

Keyword(s):

Case Studies ◽

Tactical Planning ◽

Managing Complexity ◽

Engineer To Order

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Feeding a sustainable chemical industry: do we have the bioproducts cart before the feedstocks horse?

Faraday Discussions ◽

10.1039/c7fd00173h ◽

2017 ◽

Vol 202 ◽

pp. 11-30 ◽

Cited By ~ 4

Author(s):

Bruce E. Dale

Keyword(s):

Supply Chains ◽

Case Studies ◽

Chemical Industry ◽

Large Scale ◽

Crop Residues ◽

Raw Materials ◽

Research Focus ◽

Forestry Practices ◽

Feedstock Production

A sustainable chemical industry cannot exist at scale without both sustainable feedstocks and feedstock supply chains to provide the raw materials. However, most current research focus is on producing the sustainable chemicals and materials. Little attention is given to how and by whom sustainable feedstocks will be supplied. In effect, we have put the bioproducts cart before the sustainable feedstocks horse. For example, bulky, unstable, non-commodity feedstocks such as crop residues probably cannot supply a large-scale sustainable industry. Likewise, those who manage land to produce feedstocks must benefit significantly from feedstock production, otherwise they will not participate in this industry and it will never grow. However, given real markets that properly reward farmers, demand for sustainable bioproducts and bioenergy can drive the adoption of more sustainable agricultural and forestry practices, providing many societal “win–win” opportunities. Three case studies are presented to show how this “win–win” process might unfold.

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