scholarly journals An automotive supply chain model for a demand-driven environment

2011 ◽  
Vol 5 (1) ◽  
Author(s):  
Intaher M. Ambe ◽  
Johanna A. Badenhorst-Weiss
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Lean Manufacturing ◽  
New Technologies ◽  
Chain Model ◽  
Market Demand ◽  
Automotive Supply Chain ◽  
Supply Chain Model ◽  
Fierce Competition ◽  
Automotive Supply

The purpose of this article is to demonstrate the development of a supply chain model for the automotive industry that would respond to changing consumer demand. Now more than ever, businesses need to improve the efficiency of their supply chains in order to maintain a competitive advantage. The principles of lean manufacturing and just-intime (JIT) inventory control that were renowned for helping companies like Toyota, Dell and Walmart to rise to the top of their respective industries are no longer adequate. Leading companies are applying new technologies and sophisticated analytics to make their supply chains more responsive to customer demand. This challenge is driven by fierce competition, fluctuating market demand and rising customer requirements that have led to customers becoming more demanding with increased preferences. The article is based on theoretical reviews and suggests guidelines for the implementation of an automotive supply chain model for a demand-driven environment.

scholarly journals THE IMPACT OF THE COVID-19 PANDEMIC ON SUPPLY CHAINS IN THE AUTOMOTIVE INDUSTRY

2020 ◽  
Author(s):  
Goran Milovanovic ◽  
◽  
Tamara Stankovic ◽  
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Automotive Industry ◽  
Business Relationships ◽  
Automotive Supply Chain ◽  
Automotive Supply ◽  
The Impact ◽  
Insight Into ◽  
Chain Level

Health crises have an impact on supply chains, mainly by disrupting their regular activities. In this research, the authors have analyzed the impact that the Covid-19 pandemic has made on business relationships between supply chain partners in the automotive industry and their suppliers, which are mostly from territories where the initial outbreak of the SARS COV 2 virus occurred. The analysis shows that in some cases, there is a strong dependency between the pandemic and production levels. Being dependent prevents supply chains from maintaining stability and causes system vulnerabilities. The authors conclude their work with a thesis on the pronounced impact of the current pandemic on automotive supply chain activities. For the analysis to be complete, it is necessary to monitor changes in production levels further, since data for the current year still does not provide a realistic insight into all the consequences at the supply chain level.

scholarly journals A Qualitative Approach for Assessing Resiliency in Supply Chains

2014 ◽  
Vol 5 (4) ◽  
pp. 36-45 ◽  
Author(s):  
Hassan Nikookar ◽  
Josu Takala ◽  
Daniel Sahebi ◽  
Jussi Kantola
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Qualitative Approach ◽  
Decision Making Process ◽  
Multi Criteria Decision Making ◽  
Significant Finding ◽  
Automotive Supply Chain ◽  
Automotive Supply ◽  
Near Future ◽  
Depth Interviews

Abstract The ultimate goal of this study is to develop a comprehensive and competitive management system to enhance resilience capability of supply chains. In addition, the study aims to identify and eliminate barriers affecting resilience by identifying the factors may cause trouble in the near future. The theoretical framework was established to summarize the significant finding in the area of resilient supply chain and as a guideline for the empirical part. A qualitative approach based on multi criteria decision making process has been adopted in order to gather data through in-depth interviews. The developed method to evaluate resilience capability through supply chains piloted in a sample of five companies involved in an automotive supply chain.

Games, Supply Chains, and Automatic Strategy Discovery Using Evolutionary Computation

2007 ◽  
pp. 572-588 ◽  
Author(s):  
T. Gosling
Keyword(s):  
Supply Chain ◽  
Theoretical Analysis ◽  
Supply Chains ◽  
Evolutionary Computation ◽  
Chain Model ◽  
Bargaining Model ◽  
Supply Chain Model ◽  
Statistical Approaches ◽  
Alternating Offers ◽  
Traditional Game

The use of evolutionary computation is significant for the development and optimisation of strategies for dynamic and uncertain situations. This chapter introduces three cases in which evolutionary computation has already been used successfully for strategy generation in the form of work on the Iterated Prisoner’s Dilemma, Rubinstein’s alternating offers bargaining model, and the simple supply chain model. The first two of these show how evolutionary computation has been applied to extensively studied, well-known problems. The last of these demonstrates how recent statistical approaches to evolutionary computation have been applied to more complex supply chain situations that traditional game-theoretical analysis has been unable to tackle. The authors hope that the chapter will promote this approach, motivate further work in this area, and provide a guide to some of the subtleties involved in applying evolutionary computation to different problems.

Flexible Multi-Layered Dynamic Supply Chain Models with Cooperative Negotiation

2013 ◽  
Vol 7 (1) ◽  
pp. 128-135 ◽  
Author(s):  
Yoshitaka Tanimizu ◽  
◽  
Chisato Ozawa ◽  
Yusuke Shimizu ◽  
Buntaro Orita ◽  
...  
Keyword(s):  
Supply Chain ◽  
Supply Chain Management ◽  
Supply Chains ◽  
Chain Model ◽  
Information Flows ◽  
Chain Management ◽  
New Model ◽  
Negotiation Protocol ◽  
Business Partners ◽  
Supply Chain Model

Supply chain management has been investigated for the configuring and controlling of material and information flows among different organizations. The trend has been toward even more flexible or dynamic supply chains to find suitable business partners and enter into profitable contracts. Previous studies have proposed a two-layered supply chain model consisting of two kinds of organization: clients and suppliers. This study proposes a new model representing multi-layered dynamic supply chains and a negotiation protocol in multi-layered organizations. The organizations in the middle-layers generate both orders of parts for suppliers and offers of products for clients. Production schedules in the middle-layers continue to be modified after orders are sent to suppliers. Suppliers simultaneously generate and modify sets of production schedules for individual orders to find the most profitable order of all. The effectiveness of the model and the negotiation protocol is evaluated through computational experiments.

scholarly journals Consumer Panic Buying: Realizing Its Consequences and Repercussions on the Supply Chain

2021 ◽  
Vol 13 (8) ◽  
pp. 4370
Author(s):  
Rithika Dulam ◽  
Kazuo Furuta ◽  
Taro Kanno
Keyword(s):  
Supply Chain ◽  
Consumer Behavior ◽  
Supply Chains ◽  
Purchase Intention ◽  
Chain Model ◽  
Output Analysis ◽  
Agent Based ◽  
Supply Chain Model ◽  
Media Reports ◽  
The Impact

Globalization has brought not only advantages but also risks into the supply chains. One lesser studied risk is the effect of consumer behavior in crises. The recent COVID-19 pandemic has shown that the most efficient and optimized supply chains are susceptible to consumer panic buying. There is a severe need to understand the multitude of scenarios that could manifest after a catastrophe due to the change in consumer behavior so that businesses can develop a mitigation plan. The authors have developed an agent-based model that can simulate the various outcomes of a crisis using a consumer panic buying model and a supply chain model. The model quantitatively evaluates the panic purchase intention of a consumer while assessing the impact of panic buying on the supply chain. This paper introduces the implementation of the model, focusing on output analysis of the various situational settings in disaster aftermath. Preliminary study has revealed that implementing quota policy or rationing uniformly is very effective while controlling media reports or panic buying consumers can reduce consumer demand significantly.

scholarly journals Adapting transport modes to supply chains classified by the uncertainty supply chain model: A case study at Manaus Industrial Pole

2017 ◽  
Vol 5 (1) ◽  
pp. 39 ◽  
Author(s):  
Fabiana Lucena Oliveira ◽  
Aristides da Rocha Oliveira Junior ◽  
Luiza M. Bessa Rebelo
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Industrial Cluster ◽  
Industrial Clusters ◽  
Air Transport ◽  
Primary Data ◽  
Chain Model ◽  
Theoretical Argument ◽  
Supply Chain Model ◽  
Transport Modes

<p class="FonteResumo">This paper discusses transport modes supporting Uncertainty Supply Chain Model (USCM) in the case of Manaus Industrial Pole (PIM), an industrial cluster in the Brazilian Amazon that hosts six hundred factories with diverse logistics and supply chain managerial strategies. USCM (Lee, 2002; Fisher, 1997)develops a dot matrix classification of the supply chains considering several attributes (e.g., agility, cost, security, responsiveness) and argues that emergent economies industrial clusters, in the effort to keep attractiveness for technological frontier firms, need to adapt supply chain strategies according to USCM attributes. The paper takes a further step, discussing which transport modes are suitable to each supply chain classified at the USCM in PIM´s case. The research´s methods covered the use of PIM´s statistical official database (secondary data), interviews with the main logistical services providers of PIM and phone survey with a sample of firms (primary data). Findings confirm the theoretical argument that different supply chains will demand different transport modes running at the same time in the same industrial cluster (Oliveira, 2009). In the case of PIM, this implies investments on port and airport infrastructure and a strategic focus on air transport mode, due to (1) short life cycle of products, (2) distance from suppliers, (3) quick response to demand and (4) the fact that even PIM´s standard products use, in average, forty per cent of air transport at inbound logistics.</p>

scholarly journals "Study of supply chain vulnerabilities based on cognitive engineering and ARIMA formal models"

2018 ◽  
Author(s):  
Leila Sakli ◽  
Jean Marc Mercantini ◽  
Jean Claude Hennet
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Conceptual Models ◽  
Cognitive Engineering ◽  
Chain Model ◽  
Supply Chain Risk ◽  
Multi Stage ◽  
Ontological Approach ◽  
Supply Chain Model

"This research concerns the formulation of models and methods for supply chains risk analysis. An ontological approach using the KOD method (Knowledge Oriented Design) has been implemented to clearly identify relationships between the concepts of supply chain, risk, vulnerability and disturbances (critical scenarios). As a result, conceptual models of supply chains facing risk situations and critical scenarios are proposed. From the resulting conceptual models and mathematical models proposed in the literature, a multi-stage supply chain model using ARIMA models incorporating the randomness of the demand has been elaborated. In order to adapt this model to scenario criticality, constraints on orders and inventories have been taken into account. Under critical disturbances on information flows (demand) and physical flows (quality of the product supplied), constraints can be reached and supply chain behaviours can evolve toward critical dynamics or even become unstable. Supply chain vulnerabilities has been assessed and discussed."

Research and Simulation of Supply Chain Disruption Based on Contract

2013 ◽  
Vol 380-384 ◽  
pp. 4815-4822 ◽  
Author(s):  
Qi Lian ◽  
Su Ling Jia
Keyword(s):  
Supply Chain ◽  
Negative Influence ◽  
Chain Model ◽  
Market Demand ◽  
Supply Chain Model ◽  
Hysteretic Effect ◽  
Total Profit ◽  
Total Inventory ◽  
Descriptive Statistical Analysis

In order to research the long-term disruption influence on supply chain and the performance that contracts exert on supply chain when disruption happens, this paper constructs a VMI three-echelon supply chain model based on system dynamics. Through dynamic simulation of the model, the total inventory, total profit and market demand shortage data are respectively collected under conditions of no disruption, manufacture disruption and transport disruption. By descriptive statistical analysis of these data, we find the disruption has secular and hysteretic effect on the supply chain. Furthermore, T test is used to testify the contracts effectiveness on the supply chain under disruption conditions. These analytical results show that quantity discount contract and revenue sharing contract can effectively relieve the negative influence on the supply chain when disruptions happen, since they not only enhance the total profit but also stabilize the fluctuation of the supply chains total inventory, whereas the contracts do not perform well in satisfying the market demand shortage.

scholarly journals Evolution of the migratory supply chain model

2015 ◽  
Vol 20 (6) ◽  
pp. 603-612 ◽  
Author(s):  
Andrew Potter ◽  
Denis R Towill ◽  
Martin Christopher
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Original Work ◽  
Future Research ◽  
Chain Model ◽  
Content Type ◽  
Supply Chain Model ◽  
The Impact ◽  
Practical Implications

Purpose – The purpose of this paper is to reflect upon the impact of the original work and provide an updated model to reflect the changing environment for supply chains. In 2000, a migratory model for supply chain evolution was proposed. Design/methodology/approach – The authors start by analysing the content of the papers that have cited the original Christopher and Towill (2000) paper. The development of an updated migratory model is informed by the findings from this, and then demonstrated through a case study of the book supply chain. Findings – Despite being the major contribution, the majority of citing papers actually use other parts of the original work, and some potential reasons for this are proposed. An extra stage is added to the migratory model, reflecting a customer centric strategy. Research limitations/implications – Given that the migratory model appears under-researched, the authors identify this as an opportunity for future research and suggest that methods less common in supply chain management are used. Practical implications – The updated migratory model can be used by supply chain managers to develop appropriate supply chain strategies for their organisations, while emphasising that many of the underlying tools to enable this reflect traditional industrial engineering approaches. Originality/value – The updated migratory model represents a new contribution to understanding the evolution of supply chains.

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