scholarly journals Multi-level Analytic Network Process Model to Mitigate Supply Chain Disruptions in Disaster Recovery Planning

2016 ◽  
Author(s):  
Martina Ursula Kroener
Keyword(s):  
Supply Chain ◽  
Disaster Recovery ◽  
Process Model ◽  
Analytic Network Process ◽  
Supply Chain Disruptions ◽  
Recovery Planning ◽  
Disaster Recovery Planning ◽  
Network Process ◽  
Multi Level

scholarly journals Location Selection of a Manufacturing Facility from the Perspective of Supply Chain Sustainability

Symmetry ◽  
2020 ◽  
Vol 12 (9) ◽  
pp. 1418
Author(s):  
Sun-Weng Huang ◽  
James J.H. Liou ◽  
William Tang ◽  
Gwo-Hshiung Tzeng
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Process Model ◽  
Multiple Criteria Decision Making ◽  
Analytic Network Process ◽  
Entropy Method ◽  
Location Selection ◽  
Subjective Weight ◽  
Network Process ◽  
The Right

When threatened with catastrophic political or economic fluctuations, a firm might be forced to consider relocating their supply chain to reduce the risk. Such a relocation necessitates a series of changes, so making the right decision is crucial for sustainable development of the company. In the past, various models have been developed to help managers to select the optimal location. However, most of these considered the factors independently but in the real world, these factors have a mutually influential relationship. This study purposes a hybrid multiple criteria decision making (MCDM) model to provide decision makers with a comprehensive framework to evaluate the best strategies to solve relocation problems, which also considers the interdependency between criteria. The model incorporates the DANP (Decision Making Trial and Evaluation Laboratory-based Analytic Network Process) model (subjective weight) and entropy method (objective weight) to determine the weights of the criteria. Then, the modified VIKOR (VIšekriterijumsko Kompromisno Rangiranje) method is applied to select the optimal alternative for relocation. The usefulness of the model is demonstrated by taking an electronics manufacturing company with a global supply chain as an example. The results indicate that the proposed hybrid model can assist companies in choosing the best locations for their supply chains for sustained development.

Disaster Recovery Planning

2018 ◽  
Author(s):  
Soetam Rizky Wicaksono
Keyword(s):  
Disaster Recovery ◽  
Business Continuity ◽  
Recovery Planning ◽  
Business Continuity Planning ◽  
Continuity Planning ◽  
Disaster Recovery Planning

Masih banyak orang di bidang TI maupun manajemen (baik akademisi ataupun profesional, terutama di Indonesia) yang masih belum mengenal tentang disaster recovery planning atau seringkali disingkat sebagai DRP. Mendengar saja pun masih banyak yang mengernyitkan dahi, “apakah itu termasuk ilmu baru ?”, “siapa yang mencetuskan ?”,”apa efeknya bagi lembaga atau perusahaan ?” dan masih banyak pertanyaan lain yang menggelayut di benak para profesional maupun akademisi.DRP sendiri yang nantinya akan menjadi sebuah rangkaian dari business continuity planning atau BCP, sesungguhnya bukan hal baru di bidang TI maupun bidang manajemen. Tetapi meski bukan suatu hal yang baru, DRP sendiri seringkali menjadi “anak tiri” dalam sebuah implementasi sistem informasi di sebuah institusi.

scholarly journals Measuring the Environmental Maturity of the Supply Chain Finance: A Big Data-Based Multi-Criteria Perspective

Logistics ◽  
2021 ◽  
Vol 5 (2) ◽  
pp. 22
Author(s):  
Hisham Alidrisi
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Assessment Model ◽  
Self Assessment ◽  
Interpretive Structural Modeling ◽  
Supply Chain Finance ◽  
Network Process ◽  
Order Preference

This paper presents a strategic roadmap to handle the issue of resource allocation among the green supply chain management (GSCM) practices. This complex issue for supply chain stakeholders highlights the need for the application of supply chain finance (SCF). This paper proposes the five Vs of big data (value, volume, velocity, variety, and veracity) as a platform for determining the role of GSCM practices in improving SCF implementation. The fuzzy analytic network process (ANP) was employed to prioritize the five Vs by their roles in SCF. The fuzzy technique for order preference by similarity to ideal solution (TOPSIS) was then applied to evaluate GSCM practices on the basis of the five Vs. In addition, interpretive structural modeling (ISM) was used to visualize the optimum implementation of the GSCM practices. The outcome is a hybrid self-assessment model that measures the environmental maturity of SCF by the coherent application of three multicriteria decision-making techniques. The development of the Basic Readiness Index (BRI), Relative Readiness Index (RRI), and Strategic Matrix Tool (SMT) creates the potential for further improvements through the integration of the RRI scores and ISM results. This hybrid model presents a practical tool for decision-makers.

scholarly journals Using the Analytical Network Process to Select the Best Strategy for Reducing Risks in a Supply Chain

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
L. Hosseini ◽  
R. Tavakkoli-Moghaddam ◽  
B. Vahdani ◽  
S. M. Mousavi ◽  
R. Kia
Keyword(s):  
Supply Chain ◽  
Multicriteria Decision Making ◽  
Analytic Network Process ◽  
Supply Chain Network ◽  
Total Quality ◽  
Analytic Hierarchy ◽  
Network Process ◽  
Supply Chain Risks ◽  
Hierarchy Process ◽  
Different Levels

This paper considers four types of the most prominent risks in the supply chain. Their subcriteria and relations between them and within the network are also considered. In a supply chain, risks are mostly created by fluctuations. The aim of this study is to adopt a strategy for eliminating or reducing risks in a supply chain network. Having various solutions helps the supply chain to be resilient. Therefore, five alternatives are considered, namely, total quality management (TQM), leanness, alignment, adaptability, and agility. This paper develops a new network of supply chain risks by considering the interactions between risks. Perhaps, the network elements have interacted with some or all of the factors (clusters) or subfactors. We constitute supply chain risks in the analytic network process (ANP), which attracted less attention in the previous studies. Most of the studies about making a decision in supply chains have been applied in analytic hierarchy process (AHP) network. The present study considers the ANP as a well-known multicriteria decision making (MCDM) technique to choose the best alternative, because of the interdependency and feedbacks of different levels of the network. Finally, the ANP selects TQM as the best alternative among the considered ones.

Disaster Recovery Planning Inside General Electric

1985 ◽  
Vol 2 (4) ◽  
pp. 25-33 ◽  
Author(s):  
Douglas D. Walker
Keyword(s):  
Disaster Recovery ◽  
General Electric ◽  
Recovery Planning ◽  
Disaster Recovery Planning

An Analytic Network Process Model for Risk Quantification of Mega Construction Projects

2021 ◽  
pp. 116215
Author(s):  
Huseyin Erol ◽  
Irem Dikmen ◽  
Guzide Atasoy ◽  
M. Talat Birgonul
Keyword(s):  
Construction Projects ◽  
Process Model ◽  
Analytic Network Process ◽  
Risk Quantification ◽  
Network Process

— Disaster Recovery Planning

2015 ◽  
pp. 82-113
Keyword(s):  
Disaster Recovery ◽  
Recovery Planning ◽  
Disaster Recovery Planning
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