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.

Preference Aggregation in Lifecycle Decision Making

2016 ◽  
Author(s):  
Sara Naranjo ◽  
Vidya Patil ◽  
Vijitashwa Pandey
Keyword(s):  
Decision Making ◽  
Environmental Impact ◽  
New Technology ◽  
Preference Aggregation ◽  
Environmentally Conscious ◽  
Customer Preferences ◽  
Take Back ◽  
And Performance ◽  
Viable Model ◽  
Proper Analysis

Rapid innovations in technology lead customers to frequently upgrade to new products. Their current products, now obsolete in terms of technology, aesthetic features and performance, leave behind an ecological footprint that is harmful to the environment. Product take-back systems and remanufacturing methods that promise to minimize the environmental impact are gaining attention among researchers and practitioners in the manufacturing field. A common objective is to find the best option for end of lifecycle (EOL) decisions on whether a product and the components comprising it should be reused, recycled, remanufactured, or disposed. These decisions must entail proper analysis while taking into account customer preferences, which can vary considerably from customer to customer. Mass customization, considered a plausible solution for this problem, is not viable model for many products. In this paper, therefore, we approach this problem from a preference aggregation perspective, particularly, the benevolent dictator model. Using this understanding of aggregated preferences, we address the take-back and possible remanufacturing of products. Once collected, it is questioned whether efficiency enhancing new technology or features should be added in take-back products to improve its performance or add any value. If that is the case, will these remanufactured products, with new technology or features, help in cost-effectively reducing the lifecycle environmental impact of the product, compared to a remanufactured product with original specifications? A home HVAC system was selected to exemplify the design and reuse problem, and show the benefit of favoring environmentally conscious customers in lifecycle decision making.

Structural Decisions of Sustainable Manufacturing Strategy with Fuzzy Analytic Network Process (FANP)

2015 ◽  
Vol 6 (2) ◽  
pp. 12-27 ◽  
Author(s):  
Lanndon Ocampo ◽  
Eppie Clark ◽  
Kae Vines Tanudtanud
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Sustainable Manufacturing ◽  
Analytic Network Process ◽  
Linguistic Variables ◽  
Sustainable Supply Chain ◽  
Manufacturing Strategy ◽  
Network Process ◽  
Fuzzy Analytic Network Process ◽  
Relevant Component

This paper proposes the use of fuzzy analytic network process (FANP) in identifying the content of the structural decisions of manufacturing strategy that integrates sustainability and the classical manufacturing strategy framework, considering firm size as a relevant component in decision-making. Fuzzy set theory elucidates judgment through linguistic variables while analytic network process (ANP) handles the complexity of the decision-making brought about by subjectivity and relationships among components in the decision problem. A group of experts in manufacturing was tasked to elicit judgment in pairwise comparisons following in the methodology of the ANP. Results also show that structural decisions that support sustainability integrate backward supply chain. This supports existing approaches particularly on sustainable supply chain and green purchasing. The contribution of this work lies in adopting a multi-criteria decision-making (MCDM) framework that identifies the content of the structural decisions of a sustainable manufacturing strategy.

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 Study on Benefit Coordination of Supply Chain Network Based on Green Development

2019 ◽  
Vol 16 (8) ◽  
pp. 1458
Author(s):  
Gao ◽  
Wang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Cost Sharing ◽  
Main Body ◽  
Supply Chain Network ◽  
Logistics Network ◽  
Coordination Model ◽  
Green Development ◽  
Green Index ◽  
The Cost

Based on Stackelberg's master–slave game theory and green index decision-making conditions, this paper studies the benefit coordination of a supply chain network composed of a business flow network and logistics network, discusses the decision-making behavior of the main body of the supply chain network under the performance of green contracts or speculative behavior, respectively, and further constructs the supply chain network collaborative benefit coordination model under the guidance of a manufacturer considering a green development index. The supply chain network interest coordination model analyzes the relationship between the dominant manufacturer behavior and the supply chain network green index and network profit. The results show that fulfilling green contracts helps improve the profitability and sustainability of supply chain networks. A counter-intuitive but interesting result is that the dominant manufacturers increase the cost-sharing ratio or penalties of the logistics network, which will reduce the profit level and green index of the logistics network, and increase the cost-sharing ratio or punishment of the suppliers. Strength will increase the profitability and green index of the logistics network. Finally, we validate the relevant conclusions of the model through numerical simulation analysis.

scholarly journals Simulation and Modeling Efforts to Support Decision Making in Healthcare Supply Chain Management

2014 ◽  
Vol 2014 ◽  
pp. 1-16 ◽  
Author(s):  
Eman AbuKhousa ◽  
Jameela Al-Jaroodi ◽  
Sanja Lazarova-Molnar ◽  
Nader Mohamed
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Simulation And Modeling ◽  
Healthcare Organizations ◽  
Chain Management ◽  
Decision Making Processes ◽  
Environment Simulation ◽  
The Cost ◽  
Support Decision Making

Recently, most healthcare organizations focus their attention on reducing the cost of their supply chain management (SCM) by improving the decision making pertaining processes’ efficiencies. The availability of products through healthcare SCM is often a matter of life or death to the patient; therefore, trial and error approaches are not an option in this environment. Simulation and modeling (SM) has been presented as an alternative approach for supply chain managers in healthcare organizations to test solutions and to support decision making processes associated with various SCM problems. This paper presents and analyzes past SM efforts to support decision making in healthcare SCM and identifies the key challenges associated with healthcare SCM modeling. We also present and discuss emerging technologies to meet these challenges.

scholarly journals Integration Dematel and ANP for The Supplier Selection in The Textile Industry: A Case Study

2021 ◽  
Vol 20 (1) ◽  
pp. 119-130
Author(s):  
Dana Marsetiya Utama ◽  
Bianca Maharani ◽  
Ikhlasul Amallynda
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Textile Industry ◽  
Supplier Selection ◽  
Analytic Network Process ◽  
Product Price ◽  
Network Process ◽  
The Relationship ◽  
Selection Of

Currently, companies are required to improve supply chain performance. One of the main problems in the supply chain is the proper supplier selection. Supplier selection has an essential role in improving supply chain management performance. Supplier selection requires the proper criteria. However, the relationship between criteria is rarely considered in the selection of suppliers in the textile industry. This study tries to propose integrating the Decision Making Trial and Evaluation Laboratory (DEMATEL) and the Analytic Network Process (ANP) for supplier selection in the textile industry. Both methods are multi-criteria decision making (MCDM) tools DEMATEL is used to assess the relationship between criteria. Furthermore, ANP is used to evaluate and weigh the importance of criteria and suppliers. A case study was carried out in a textile company located in Indonesia. The results show that this procedure can identify the relationship and effect of each criterion. The results show that the product price criteria are the criteria that have the most significant weight. The criteria for conformity to specifications and consistency of quality are in second and third place. Finally, suppliers are selected based on weight assessment on each criterion by ANP.

scholarly journals Strategies for Improving the E-Waste Management Supply Chain Sustainability in Indonesia (Jakarta)

2021 ◽  
Vol 13 (24) ◽  
pp. 13955
Author(s):  
Nurhadi Wibowo ◽  
Jerry Kuswara Piton ◽  
Rahmat Nurcahyo ◽  
Djoko Sihono Gabriel ◽  
Farizal Farizal ◽  
...  
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Public Education ◽  
Waste Management ◽  
Electronic Waste ◽  
Waste Streams ◽  
Analytical Network Process ◽  
The Public ◽  
The World ◽  
Network Process

Electronic waste (e-waste) has become one of the fastest-growing waste streams in the world. However, only 17.4% of it can be collected and recycled in 2019. This study aims to formulate strategies to improve the supply chain of e-waste management in Indonesia. Methods used to develop strategies in this study are the Decision-Making Trial and Evaluation Laboratory (DEMATEL), the Analytical Network Process (ANP), Strength–Weaknesses–Opportunities–Threats (SWOT), and the Quantitative Strategic Planning Matrix (QSPM). The results show that infrastructure criteria have the largest weight, that is 0.267, followed by a social environment with 0.261, regulation with 0.244, stakeholder with 0.122, and economy with 0.054. The top priority of the selected strategies is to improve public education (ST1) and provide socialization of regulations and sanctions to the public (ST2).

scholarly journals The Low-Carbon Supply Chain Coordination Problem with Consumers’ Low-Carbon Preference

2020 ◽  
Vol 12 (9) ◽  
pp. 3591 ◽  
Author(s):  
Dan Wu ◽  
Yuxiang Yang
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Cost Sharing ◽  
Supply Chain Coordination ◽  
Low Carbon ◽  
Order Quantity ◽  
Coordination Problem ◽  
Emission Abatement ◽  
The Cost ◽  
The Impact

In this paper, we study the supply chain coordination problem between a manufacturer and a retailer regarding consumers’ low-carbon preferences. The retailer considers the market demand to determine the order quantity; the manufacturer chooses how to reduce emissions according to the retailer’s order quantity. We consider four cases, including the non-emission abatement, the emission abatement of decentralized decision-making, the centralized decision-making and the retailer providing a cost-sharing contract. By comparing the four cases, we find that the case of a retailer providing a cost-sharing contract can coordinate the supply chain, achieving a Pareto improvement for the manufacturer and retailer. In addition, we use the Rubinstein bargaining model to determine the cost-sharing ratio. Finally, numerical simulations are given to analyze the impact of the cost-sharing ratio on the equilibrium results, including the profit and the emission abatement level. Furthermore, we investigate the impact of the cost-sharing ratio and consumers’ low-carbon awareness on the profits of the members in the supply chain. We find that the equilibrium results, including the order quantity, the emission abatement level and the profits of the members in the supply chain under contract, are higher than the ones under centralized decision-making. The results show that in the higher low-carbon awareness market, retailers should formulate a reasonable cost-sharing ratio to achieve emission reduction coordination.

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