scholarly journals FACTORS THAT INFLUENCE LOGISTICS DECISION MAKING IN THE SUPPLY CHAIN OF THE AUTOMOTIVE INDUSTRY

2020 ◽  
Vol 15 (3) ◽  
pp. 117-126
Author(s):  
Sebastjan ŠKERLIČ
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Automotive Industry

scholarly journals Assessing Supply Chain Risks in the Automotive Industry through a Modified MCDM-Based FMECA

Processes ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 579 ◽  
Author(s):  
Ilyas Mzougui ◽  
Silvia Carpitella ◽  
Antonella Certa ◽  
Zoubir El Felsoufi ◽  
Joaquín Izquierdo
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Systems Engineering ◽  
Automotive Industry ◽  
Economic Losses ◽  
Joint Analysis ◽  
Fuzzy Decision Making ◽  
Support Tool ◽  
Supply Chain Risks ◽  
Criticality Analysis

Supply chains are complex networks that receive assiduous attention in the literature. Like any complex network, a supply chain is subject to a wide variety of risks that can result in significant economic losses and negative impacts in terms of image and prestige for companies. In circumstances of aggressive competition among companies, effective management of supply chain risks (SCRs) is crucial, and is currently a very active field of research. Failure Mode, Effects and Criticality Analysis (FMECA) has been recently extended to SCR identification and prioritization, aiming at reducing potential losses caused by lack of risk control. This article has a twofold objective. First, SCR assessment is investigated, and a comprehensive list of specific risks related to the automotive industry is compiled to extend the set of most commonly considered risks. Second, an alternative way of calculating the Risk Priority Number (RPN) is proposed within the FMECA framework by means of an integrated Multi-Criteria Decision-Making (MCDM) approach. We give a new calculation procedure by making use of the Analytic Hierarchy Process (AHP) to derive factors weights, and then the fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) to evaluate the new factor of “dependence” among the risks. The developed joint analysis constitutes a risk analysis support tool for criticality in systems engineering. The approach also deals with uncertainty and vagueness associated with input data through the use of fuzzy numbers. The results obtained from a relevant case study in the automotive industry showcase the effectiveness of this approach, which brings important value to those companies: When planning interventions of prevention/mitigation, primary importance should be given to (1) supply chain disruptions due to natural disasters; (2) manufacturing facilities, human resources, policies and breakdown processes; and (3) inefficient transport.

Assessment of Lean Supply Chain Practices in Indian Automotive Industry

2020 ◽  
pp. 097215091989023
Author(s):  
Rohit Kumar Singh ◽  
Sachin Modgil
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Performance Measures ◽  
Automotive Industry ◽  
Management Practices ◽  
Performance Practices ◽  
Future Goals ◽  
Lean Practices ◽  
Effective Performance ◽  
Lean Supply Chain

The purpose of this study is to explore the effect of lean practices on performance measures in the automotive industry and identify the lean criteria that can have significant impact on automotive supply chain. The identified lean practices can serve as a template to enhance the performance of a supply chain. The present study offers a multi-criteria decision-making approach to identify the effective performance practices in automotive lean supply chain. The decision-making trial and evaluation laboratory (DEMATEL) was applied on a matrix of observed values and the actual effect of proposed practices was observed. Further it was confirmed with the help of fuzzy- Vlsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR; that means multicriteria optimization and compromise solution, with pronunciation). The criteria which had the most impact are proposed for achieving the future goals of leanness. It was found that among the lean criteria considered, quality management, information management and customer management practices influence the key performance measures more than others. Although DEMATEL and fuzzy-VIKOR were applied for situation leading to setting up of priorities of factors that considered affecting automotive manufacturer, the proposed methodology can be applied in diverse industrial settings. The present study may help decision-makers to device the appropriate strategy in identifying major practices that influence the lean supply chain.

scholarly journals The impact of supply chain collaboration on performance in automotive industry: Empirical evidence

2019 ◽  
Vol 12 (2) ◽  
pp. 241 ◽  
Author(s):  
Jamal Ahmed Al-Doori
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Information Sharing ◽  
Automotive Industry ◽  
Electronic Data Interchange ◽  
Automotive Sector ◽  
Supply Chain Collaboration ◽  
Electronic Data ◽  
Joint Decision ◽  
The Impact

Purpose: Indeed due to global advancement, rapid technological innovation, and enhancing regional influence, supply chain (SC) has become an essential element. Now, competition has shifted from organization to industry level; any disruption can not only disturb organization but also affect the whole industry. Although Pakistan is agriculture land still industry sector is supporting more than half population, especially the automotive sector is the highest growing sector. Due to regional and economic shift toward China and India, this sector is facing numerous problems. Only thirteen large-scale automotive organizations are operational by creating collaboration among them many issues can be resolved. Supply chain collaboration has dogged the performance in various industries and in various regions. The aim of this study is to explore the potential benefits of supply chain collaboration toward achieving operational performance.Design/methodology/approach: This is an empirical investigation conducting among supply chain department of automotive industries in Pakistan. Data were collected from 232 members of the supply chain that include suppliers, manufacturers, and distributors. Factor analysis and multiple regressions through SPSS have been used for data analysis.Findings: The finding of this study reveals that two supply chain management approaches information sharing (IS), joint decision making (JDM) significantly effect, while Electronic Data Interchange (EDI) does not have a significant effect on operational performance.Research limitations: This study consists only three approaches, next study should include more approaches. Secondly, this study is limited to the automotive sector.  Practical implications: [This study will help the managers of the automotive industry in making their operation smooth by applying information sharing, joint decision making, and electronic data interchange.Originality/value: First novelty of this study is the implementation of supply chain collaboration for developing country especially for Pakistan. Secondly, this study seed collaboration as communication and include all aspects of communication like formal communication, informal communication. 

E-management of supply chain: general models taxonomy

2002 ◽  
Vol 21 (2) ◽  
pp. 95-113
Author(s):  
Charu Chandra ◽  
Sameer Kumar ◽  
Alexander V. Smirnov
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Automotive Industry ◽  
Global Economy ◽  
Conceptual Modelling ◽  
Chain Management ◽  
Reusable Components ◽  
Goods And Services ◽  
Knowledge Based ◽  
Development Methodology

The management of Supply Chain Systems is one of the major issues that a firm has to deal with in today's global economy. The purpose of this type of system is to transform incomplete information about the market and available resources into co-ordinated plans for production and replenishment of goods and services in the network formed by co-operating units. One of the goals of Internet-Based Management (e-management) is to facilitate transfer and sharing of data and knowledge in the context of supply chain structures. Knowledge-based modelling tools for supply chain management utilise reusable components and configure knowledge as needed, in order to assist users (agents) in decision-making. This paper discusses a generic development methodology for e-management and conceptual modelling of supply chains. For illustration, applications from the automotive industry have been utilised.

scholarly journals Framework for the Packaging Supply Chain of an Automotive Engine Company

2016 ◽  
Vol 9 (3) ◽  
pp. 191 ◽  
Author(s):  
K Vöröskői ◽  
P Böröcz
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Automotive Industry ◽  
Environmentally Conscious ◽  
Automotive Engine ◽  
Automotive Engines ◽  
Take Back ◽  
Network Process ◽  
The Cost ◽  
Industrial Groups

Automotive industrial groups consider the impacts of packaging very important, mainly focusing on the cost effectiveness and environmentally conscious nature thereof. In the literature, the packaging supply chain is not a significantly researched area as regards the supply of the complete automotive engines. But the selection of packaging and the relevant development process in engine production are among the main elements of the extensive automotive industry, because participants sometimes have the same interests and considerations. This way, decision-making and strategies on using different packaging solutions and systems can be very varied. The reason is that each automotive group practically produces its own engines and transports them to their assembling subsidiaries all over the world. These groups often apply similar logistics policies and supply systems to use, take-back and recover their packaging. This is being driven as much by group strategies as it is by the need to reduce costs and increase efficiency in supply chains. The focus of this paper will be on the components and elements of packaging supply chain management in the field of engine supply for automotive industry groups, and on how the decision-making framework is determined. This paper shows models defining the network process for decision-making within the automotive groups as regards the packaging supply chain.

Blockchain in Supply Chain: Case Study of Lottemart Ciputat

2019 ◽  
Vol 5 (1) ◽  
pp. 38-49 ◽  
Author(s):  
B. K. Handoyo ◽  
M. R. Mashudi ◽  
H. P. Ipung
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Information Asymmetry ◽  
New Technology ◽  
Business Case ◽  
Analysis Method ◽  
Chain Management ◽  
Production Processes

Current supply chain methods are having difficulties in resolving problems arising from the lack of trust in supply chains. The root reason lies in two challenges brought to the traditional mechanism: self-interests of supply chain members and information asymmetry in production processes. Blockchain is a promising technology to address these problems. The key objective of this paper is to present qualitative analysis for blockchain in supply chain as the decision-making framework to implement this new technology. The analysis method used Val IT business case framework, validated by the expert judgements. The further study needs to be elaborated by either the existing organization that use blockchain or assessment by the organization that will use blockchain to improve their supply chain management.

Post COVID-19 Potentials and Innovation: The Future Supply Chain

2020 ◽  
Vol 11 (SPL1) ◽  
pp. 1054-1057
Author(s):  
Bindu Swetha Pasuluri ◽  
Anuradha S G ◽  
Manga J ◽  
Deepak Karanam
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Supply Chain ◽  
Supply Chains ◽  
World Health Organization ◽  
World Wide ◽  
World Health ◽  
Future Supply ◽  
Entire World ◽  
Health Organization

An unanticipated outburst of pneumonia of inexperienced in Wuhan, , China stated in December 2019. World health organization has recognized pathogen and termed it COVID-19. COVID-19 turned out to be a severe urgency in the entire world. The influence of this viral syndrome is now an intensifying concern. Covid-19 has changed our mutual calculus of ambiguity. It is more world-wide in possibility, more deeply , and much more difficult than any catastrophe that countries and organizations have ever faced. The next normal requires challenging ambiguity head-on and building it into decision-making. It is examined that every entity involved in running supply chains would require through major as employee, product, facility protocols, and transport would have to be in place. It is an urgent need of structuring to apply the lessons well-read for our supply chain setup. With higher managers now being aware of the intrinsic hazards in their supply chain, key and suggestions-recommendations will help to guide leader to commit to a newly planned, more consistent supply chain setup. Besides, the employees’ mental health is also a great concern.

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