Creating the Agile Supply Chain: Issues and Challenges

2016 ◽  
pp. 61-68 ◽  
Author(s):  
Martin Christopher ◽  
Alan Harrison ◽  
Remko van Hoek
Keyword(s):  
Supply Chain ◽  
Agile Supply Chain

scholarly journals Implementation of fuzzy logic to measure supply chain agility

2016 ◽  
Vol 2 (1) ◽  
pp. 18
Author(s):  
Mehdi Karimimalayer ◽  
Nizaroyani Saibani
Keyword(s):  
Fuzzy Logic ◽  
Supply Chain ◽  
Changing Environment ◽  
Agile Supply Chain ◽  
Supply Chain Agility ◽  
Wide Range

In our age of perennial changing environment, supply chain agility is a crucial factor having a great impact on the company's competitiveness. For transforming supply chain into an agile supply chain, first it is necessary to comprehend the meaning of agile supply chain, since agility has wide range of meanings and various dimensions which covers different aspects of an organization. Generally, however, there have been many researches on agility, proportionally; the concept of agility in supply chain has not been much surveyed. The circumstance unveils the necessity of a technique to measure the supply chain agility. The purpose of the article is to propose a technique, using fuzzy logic which supply chain agility be measured.

A new analytical framework of agile supply chain strategies

2007 ◽  
Vol 2 (4) ◽  
pp. 345 ◽  
Author(s):  
Yasunori Fujita
Keyword(s):  
Supply Chain ◽  
Analytical Framework ◽  
Agile Supply Chain

Triggering sustainable firm performance, supply chain competitive advantage, and green innovation through lean, green, and agile supply chain practices

2021 ◽  
Author(s):  
Muhammad Waqas ◽  
Xue Honggang ◽  
Naveed Ahmad ◽  
Syed Abdul Rehman Khan ◽  
Zia Ullah ◽  
...  
Keyword(s):  
Supply Chain ◽  
Firm Performance ◽  
Competitive Advantage ◽  
Green Innovation ◽  
Agile Supply Chain

A Three-Level Multiple-Agent Early Warning Mechanism for Preventing Loss of Customers in Fashion Supply Chains

2012 ◽  
pp. 553-564
Author(s):  
Wei-Shuo Lo ◽  
Tzung-Pei Hong
Keyword(s):  
Supply Chain ◽  
Decision Support ◽  
System Development ◽  
Fashion Industry ◽  
Chain Management ◽  
Agile Supply Chain ◽  
Multiple Agent ◽  
Early Warning Mechanism ◽  
Rapid Changes ◽  
Development Procedure

The fashion industry is experiencing rapid changes in many areas, including the supply chain. Typical quick response (QR) systems have been broadly used in the fashion industry to enable agile supply chain management (SCM). However, the original functions of QR systems cannot completely address the challenge of issuing early warnings to prevent customer loss. This article merges the typical MIS system development procedure with that of an e-SCM multiple-agent decision support system to confront this problem. The system has three levels: data mining, ontology, and decision support. These levels are interlinked in handling different databases. Different agents execute different tasks at each level to achieve integration and communication in a supply chain with less human intervention. The proposed framework emphasizes transparent connections among businesses and assists in information sharing, thereby preventing customer loss.

Providing an interpretive structural model of agile supply chain practices

2019 ◽  
Vol 15 (2) ◽  
pp. 661-684 ◽  
Author(s):  
Akbar Rahimi ◽  
Abbas Raad ◽  
Akbar Alem Tabriz ◽  
Alireza Motameni
Keyword(s):  
Supply Chain ◽  
Organizational Structure ◽  
Human Resource ◽  
Defense Industry ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Content Type ◽  
Agile Supply Chain ◽  
Supply Chain Agility ◽  
The Relationship

Purpose Nowadays, the defense industry is considered a significant part of the manufacturing industries. Military products in the world have a high level of diversity, delivery speed and appropriative operational functionality. Therefore, various producing, high quality and high-speed delivery of military products are of great importance in enhancing Iran’s defensive power. Defense industries’ supply chain agility is a response to how to produce military products with these features. Therefore, the purpose of this paper is to provide a model for the agile supply chain of defense industries to show the relationship between agile practices and their hierarchy. Design/methodology/approach First, the authors identify the most important supply chain agility practices by expert’s questionnaire. Then, using factor analysis, practices are categorized and validated based on structural equation modeling (SEM). SEM showed a meaningful relationship between agile supply chain practices. Finally, using interpretative structural modeling, a model is presented to show the logical relationships and hierarchy between these practices. Findings The results show that out of a total of 62 practices introduced in the previous research for the agile supply chain, 37 practices in the agility of the supply chain of defense industries are effective. The 4 new agility practices were identified in this research. These 41 practices were classified into 8 categories including supplier relationship, workshop level management, organizational structure improvement, human resource management, product designing, improve and integrate the process, application of information technology and customer relationship. Improvement of organizational structure was at the highest level of the model. Therefore, managers first should focus on it. Research limitations/implications Given the confidentiality of information in the defense industry, the distribution of questionnaires and their collection was one of the most important limitations. A variety of defense products in land, air and sea areas, and a large number of industries in each sector, forced the authors to select the only land area. Although the results of this research can be used in the air and sea areas, but cannot be said that the implementation of this study presented model will fully lead to the defense industries’ supply chain agility in air and sea sectors. Originality/value This is the first research on the supply chain agility of Iran’s defense industry that bridges the gap between theory and practice. The classification of 41 practices in the form of 8 measures and examining the relationship between them is a new and practical approach for understanding the relationships between different variables that affect supply chain agility. This study introduces four new agility practices including the use of new technology and equipment, human resource balance, the use of expert human resources, training and employee empowerment, which can be considered in many industries of developing or less developed countries. Considering the specific situation of defense industry supply chain in comparison with other industries, the results of this research can be used by other defense industries of similar countries.

Evaluating the Risks Associated with Supply Chain Agility of an Enterprise

2017 ◽  
Vol 4 (3) ◽  
pp. 15-34 ◽  
Author(s):  
Anirban Ganguly ◽  
Debdeep Chatterjee ◽  
Harish V. Rao
Keyword(s):  
Risk Management ◽  
Supply Chain ◽  
Management Strategies ◽  
Research Process ◽  
Business Environment ◽  
Decision Makers ◽  
Intense Competition ◽  
Agile Supply Chain ◽  
Supply Chain Agility ◽  
Risk Management Strategies

In the present day, business environment marked by intense competition and uncertainties, the ability of an organization and its supply chain to respond quickly to an unforeseen change in the business environment forms the key to its sustenance in the market. Since an agile supply chain comprises of a plethora of components, it is imperative that there should be a set of uncertainties associated with its functioning. The purpose of this paper is to evaluate a set of critical risks associated with the agility of an organization's supply chain. Identification and prioritization of the risks to assess their relative criticality form the backbone of the research process. This research is expected to aid the decision-makers develop robust risk management strategies as related to their organizational supply chain agility, thereby ensuring their growth and sustainability in the market.

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