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.

scholarly journals An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

2019 ◽  
Vol 11 (7) ◽  
pp. 1872 ◽  
Author(s):  
Patchara Phochanikorn ◽  
Chunqiao Tan
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Prospect Theory ◽  
Palm Oil ◽  
Supplier Selection ◽  
Large Scale ◽  
Oil Products ◽  
Green Supply Chain ◽  
Fuzzy Decision Making ◽  
Green Supplier Selection

Environmental concerns have globally driven the encouragement of green supply chain management. Accordingly, business and industrial organizations try to seek green supply chain strategies to respond to market pressure regarding corporate social responsibility. Green supplier selection is one of the practical strategies for modern enterprises. With the large-scale development of the palm oil products industry, green supplier selection technique is the key for decision making when dealing with mass information and possible risks of biased data. For instance, the preference of decision makers possibly causes a misleading decision, thus leading to unnecessary waste of resources. Therefore, the contribution of this paper is to apply the integrated multi-criteria decision method using the ‘fuzzy decision-making trial and evaluation laboratory’ (fuzzy DEMATEL) method to consider the cause and effect relationship and then using fuzzy analytic network process (fuzzy ANP) to assign the weight of each relevant criteria. The initial results are useful for strategic procurement planning. In the final step, we adopt the prospect theory to synthesize procurement’s psychological and behavioral factors when selecting green suppliers. The final result refers to the comprehensive prospect value to rank the eligible suppliers into orders. Moreover, the results of both sensitivity analysis and comparison method confirm that the proposed model is adequately realistic and robust.

scholarly journals A Neutrosophic AHP and TOPSIS Framework for Supply Chain Risk Assessment in Automotive Industry of Pakistan

2019 ◽  
Vol 12 (1) ◽  
pp. 154 ◽  
Author(s):  
Muhammad Junaid ◽  
Ye Xue ◽  
Muzzammil Wasim Syed ◽  
Ji Zu Li ◽  
Muhammad Ziaullah
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Supply Chains ◽  
Automotive Industry ◽  
Holistic Approach ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Analytic Hierarchy ◽  
Supply Chain Resilience ◽  
Supply Chain Risks

Risk is inherent in all parts of life and brings consequences, but when it specifically emerges in supply chains, it is susceptible. Therefore, this study aims at identifying and assessing supply chain risks and developing criteria for managing these risks. Supply chain (SC) risks consist of complex, uncertain, and vague information, but risk assessment techniques in the literature have been unable to handle complexity, uncertainty, and vagueness. Therefore, this study presents a holistic approach to supply chain risk management. In this paper, neutrosophic (N) theory is merged with the analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) to deal with complexity, uncertainty, and vagueness. Then the proposed methodology is practically implemented through a case study on the automotive industry. SC resilience, SC agility, and SC robustness were selected as criteria for managing supply chain risks and analyzed using N-AHP. Furthermore, seventeen risks were identified and assessed by using N-TOPSIS. Results suggest supply chain resilience is the most important criterion for managing supply chain risks. Moreover, supplier delivery delays, supplier quality problems, supplier communication failures, and forecasting errors are the most vulnerable risks that occur in supply chains of the automotive industry in Pakistan.

A Class of Level-2 Fuzzy Decision-Making Model with Expected Objectives and Chance Constraints: Application to Supply Chain Network Design

2015 ◽  
Vol 16 (04) ◽  
pp. 907-938 ◽  
Author(s):  
Xiaoyang Zhou ◽  
Yan Tu ◽  
Jing Han ◽  
Jiuping Xu ◽  
Xionghui Ye
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Network Design ◽  
General Level ◽  
Fuzzy Decision Making ◽  
Supply Chain Network Design ◽  
Supply Chain Network ◽  
Fuzzy Decision ◽  
Decision Making Model ◽  
Level 2

In this paper, we concentrate on dealing with a class of decision-making problems with level-2 fuzzy coefficients. We first discuss how to transform a level-2 fuzzy decision-making model with expected objectives and chance constrained into crisp equivalent models, then an interactive fuzzy satisfying method is introduced to obtain the decision makers satisfying solution. In addition, the technique of level-2 simulations is applied to deal with general level-2 fuzzy models which are usually hard to be converted into their crisp equivalents. Furthermore, based on the level-2 fuzzy programming, we focus on the supply chain network design problem where the total transport costs and the customer demands are assumed to be level-2 fuzzy numbers, a hybrid intelligent algorithm based on GA is used to solve the general supply chain design model. Finally, a numerical example and a case study are presented to illustrate the effectiveness of the model and the algorithm.

Design of Equipment’s Transportation Programs and Transport Activities

2012 ◽  
Vol 569 ◽  
pp. 769-775 ◽  
Author(s):  
Tian Deng ◽  
Nai Chao Wang ◽  
Lin Ma
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Life Cycle ◽  
Design Process ◽  
Systems Engineering ◽  
Transport Activity ◽  
Logistics System ◽  
Logistics Industry ◽  
Entire Life ◽  
Entire Life Cycle

With the developing of global trade, the role assumed by the logistics industry is increasing important. Transportation act as the main pillars of the logistics system, connecting suppliers, manufactures and customers Transportation is a means of connecting scatted factories and warehouses of the entire supply chain. Traditional transportation design emphasis on design and means of transportation decision-making on transport nodes and networks. In this article, transportation is designed based on systems engineering, considering the entire life cycle of the equipment . The factors in transport program is given in detail to be considered in the design of the equipment life cycle transport program, and gives the design process of the transport activity.

scholarly journals Integrating IVHM and Asset Design

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Ian K Jennions ◽  
Octavian Niculita ◽  
Manuel Esperon-Miguez
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
System Design ◽  
Design Process ◽  
Systems Engineering ◽  
Health Management ◽  
Decision Making Process ◽  
Fully Integrated ◽  
Trade Offs ◽  
Causes Of Failure

Integrated Vehicle Health Management (IVHM) describes a set of capabilities that enable effective and efficient maintenance and operation of the target vehicle. It accounts for the collecting of data, conducting analysis, and supporting the decision-making process for sustainment and operation. The design of IVHM systems endeavours to account for all causes of failure in a disciplined, systems engineering, manner. With industry striving to reduce through-life cost, IVHM is a powerful tool to give forewarning of impending failure and hence control over the outcome. Benefits have been realised from this approach across a number of different sectors but, hindering our ability to realise further benefit from this maturing technology, is the fact that IVHM is still treated as added on to the design of the asset, rather than being a sub-system in its own right, fully integrated with the asset design. The elevation and integration of IVHM in this way will enable architectures to be chosen that accommodate health ready sub-systems from the supply chain and design trade-offs to be made, to name but two major benefits. Barriers to IVHM being integrated with the asset design are examined in this paper. The paper presents progress in overcoming them, and suggests potential solutions for those that remain. It addresses the IVHM system design from a systems engineering perspective and the integration with the asset design will be described within an industrial design process.

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